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YAGO3-10_2entities

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YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 18438, Azerbaijan 77788, British_Virgin_Islands 68509, Croatia 84107, F.C._Dynamo_Kyiv 52555, Finland 12542, Kosovo 76060, Moldova 85860, Pakistan 86319, Ukraine 56539, Uzbekistan 51865, Yervand_Sukiasyan 39354, wordnet_foodstuff_107566340 9577, wordnet_machinery_103701640 src, edge_attr, dst 18438, exports, 9577 18438, imports, 39354 77788, imports, 39354 77788, imports, 9577 68509, exports, 39354 68509, exports, 9577 68509, imports, 9577 84107, isLocatedIn, 86319 52555, exports, 9577 52555, imports, 39354 52555, imports, 9577 12542, exports, 9577 12542, imports, 39354 12542, imports, 9577 76060, exports, 39354 76060, exports, 9577 85860, exports, 39354 85860, imports, 9577 86319, exports, 39354 56539, exports, 39354 56539, exports, 9577 56539, imports, 39354 51865, isAffiliatedTo, 84107 Question: How are British_Virgin_Islands and Yervand_Sukiasyan related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "British_Virgin_Islands", "Yervand_Sukiasyan" ], "valid_edges": [ [ "Azerbaijan", "exports", "wordnet_machinery_103701640" ], [ "Azerbaijan", "imports", "wordnet_foodstuff_107566340" ], [ "British_Virgin_Islands", "imports", "wordnet_foodstuff_107566340" ], [ "British_Virgin_Islands", "imports", "wordnet_machinery_103701640" ], [ "Croatia", "exports", "wordnet_foodstuff_107566340" ], [ "Croatia", "exports", "wordnet_machinery_103701640" ], [ "Croatia", "imports", "wordnet_machinery_103701640" ], [ "F.C._Dynamo_Kyiv", "isLocatedIn", "Ukraine" ], [ "Finland", "exports", "wordnet_machinery_103701640" ], [ "Finland", "imports", "wordnet_foodstuff_107566340" ], [ "Finland", "imports", "wordnet_machinery_103701640" ], [ "Kosovo", "exports", "wordnet_machinery_103701640" ], [ "Kosovo", "imports", "wordnet_foodstuff_107566340" ], [ "Kosovo", "imports", "wordnet_machinery_103701640" ], [ "Moldova", "exports", "wordnet_foodstuff_107566340" ], [ "Moldova", "exports", "wordnet_machinery_103701640" ], [ "Pakistan", "exports", "wordnet_foodstuff_107566340" ], [ "Pakistan", "imports", "wordnet_machinery_103701640" ], [ "Ukraine", "exports", "wordnet_foodstuff_107566340" ], [ "Uzbekistan", "exports", "wordnet_foodstuff_107566340" ], [ "Uzbekistan", "exports", "wordnet_machinery_103701640" ], [ "Uzbekistan", "imports", "wordnet_foodstuff_107566340" ], [ "Yervand_Sukiasyan", "isAffiliatedTo", "F.C._Dynamo_Kyiv" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 114847, A_Flintstones_Christmas_Carol 104802, Batangas 93445, Battle_of_Heartbreak_Ridge 85306, Battle_of_Leyte 114515, Battle_of_Leyte_Gulf 23888, Battle_of_the_Imjin_River 64456, Battle_of_the_Visayas 41145, Berkeley,_California 7678, Butuan 78819, California 45863, China 107583, Congo_Crisis 88777, Gray_Davis 110655, Hong_Kong 33806, Indonesia 39241, International_Force_for_East_Timor 76792, Japan 68719, Jerry_Brown 78114, Jerry_Hill_(politician) 97911, Jesse_Dylan 92700, John_Cassavetes 57645, Korean_War 26506, Leland_Yee 23215, Leon_O._Chua 110262, Los_Angeles 79493, Malaysia 40821, Marinduque 115071, Mindanao 119516, Mirari_Films 70613, Moro_insurgency_in_the_Philippines 96837, Nicaraguan_Revolution 122711, Operation_Enduring_Freedom 50917, Operation_Ripper 87504, People_Power_Revolution 34241, Philippine_Revolution 84827, Philippines 77740, Philippine–American_War 20135, Rahadyan_Sastrowardoyo 93078, Richard_Riordan 117411, Roland_Emmerich 73524, Salinas,_California 118588, Santa_Monica_College 104670, Saudi_Arabia 29594, Singapore 88053, Siskiyou_County,_California 82590, South_Korea 106315, Spanish–American_War 48370, Thailand 29157, United_States 98557, Universal_Music_Group 112192, University_of_California,_Berkeley 75056, War_on_Terror src, edge_attr, dst 114847, isLocatedIn, 84827 114847, isLocatedIn, 29157 104802, isLocatedIn, 84827 93445, happenedIn, 29157 85306, happenedIn, 84827 85306, happenedIn, 29157 114515, happenedIn, 84827 114515, happenedIn, 29157 64456, happenedIn, 84827 64456, happenedIn, 29157 41145, isLocatedIn, 78819 41145, isLocatedIn, 29157 7678, isLocatedIn, 115071 7678, isLocatedIn, 84827 78819, hasCapital, 110262 78819, isLocatedIn, 29157 45863, dealsWith, 29157 88777, isPoliticianOf, 78819 88777, isPoliticianOf, 29157 88777, livesIn, 78819 88777, livesIn, 29157 110655, dealsWith, 29157 33806, dealsWith, 29157 76792, dealsWith, 29157 68719, isPoliticianOf, 78819 68719, isPoliticianOf, 29157 78114, isCitizenOf, 29157 78114, livesIn, 78819 97911, isCitizenOf, 29157 97911, livesIn, 78819 92700, isCitizenOf, 29157 92700, livesIn, 78819 26506, isCitizenOf, 29157 26506, livesIn, 78819 23215, isCitizenOf, 84827 23215, isCitizenOf, 29157 110262, isLocatedIn, 78819 110262, isLocatedIn, 29157 79493, dealsWith, 29157 40821, isLocatedIn, 84827 115071, isLocatedIn, 84827 119516, isLocatedIn, 78819 119516, isLocatedIn, 29157 70613, happenedIn, 115071 70613, happenedIn, 84827 87504, happenedIn, 84827 34241, happenedIn, 84827 84827, dealsWith, 45863 84827, dealsWith, 110655 84827, dealsWith, 33806 84827, dealsWith, 76792 84827, dealsWith, 79493 84827, dealsWith, 104670 84827, dealsWith, 29594 84827, dealsWith, 82590 84827, dealsWith, 48370 84827, dealsWith, 29157 84827, hasCapital, 104802 84827, participatedIn, 93445 84827, participatedIn, 23888 84827, participatedIn, 107583 84827, participatedIn, 39241 84827, participatedIn, 57645 84827, participatedIn, 70613 84827, participatedIn, 96837 84827, participatedIn, 122711 84827, participatedIn, 50917 84827, participatedIn, 75056 77740, happenedIn, 84827 20135, isCitizenOf, 84827 20135, isCitizenOf, 29157 93078, livesIn, 78819 93078, livesIn, 29157 117411, livesIn, 78819 117411, livesIn, 29157 73524, isLocatedIn, 78819 73524, isLocatedIn, 29157 118588, isLocatedIn, 78819 118588, isLocatedIn, 29157 104670, dealsWith, 29157 29594, dealsWith, 29157 88053, isLocatedIn, 78819 88053, isLocatedIn, 29157 82590, dealsWith, 29157 106315, happenedIn, 84827 48370, dealsWith, 29157 29157, dealsWith, 45863 29157, dealsWith, 76792 29157, participatedIn, 104802 29157, participatedIn, 93445 29157, participatedIn, 85306 29157, participatedIn, 114515 29157, participatedIn, 23888 29157, participatedIn, 64456 29157, participatedIn, 107583 29157, participatedIn, 39241 29157, participatedIn, 57645 29157, participatedIn, 40821 29157, participatedIn, 70613 29157, participatedIn, 96837 29157, participatedIn, 122711 29157, participatedIn, 50917 29157, participatedIn, 87504 29157, participatedIn, 34241 29157, participatedIn, 77740 29157, participatedIn, 106315 29157, participatedIn, 75056 98557, isLocatedIn, 78819 98557, isLocatedIn, 29157 112192, isLocatedIn, 78819 112192, isLocatedIn, 29157 Question: How are Butuan and Siskiyou_County,_California related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Butuan", "Siskiyou_County,_California" ], "valid_edges": [ [ "A_Flintstones_Christmas_Carol", "isLocatedIn", "Philippines" ], [ "A_Flintstones_Christmas_Carol", "isLocatedIn", "United_States" ], [ "Batangas", "isLocatedIn", "Philippines" ], [ "Battle_of_Heartbreak_Ridge", "happenedIn", "United_States" ], [ "Battle_of_Leyte", "happenedIn", "Philippines" ], [ "Battle_of_Leyte", "happenedIn", "United_States" ], [ "Battle_of_Leyte_Gulf", "happenedIn", "Philippines" ], [ "Battle_of_Leyte_Gulf", "happenedIn", "United_States" ], [ "Battle_of_the_Visayas", "happenedIn", "Philippines" ], [ "Battle_of_the_Visayas", "happenedIn", "United_States" ], [ "Berkeley,_California", "isLocatedIn", "California" ], [ "Berkeley,_California", "isLocatedIn", "United_States" ], [ "Butuan", "isLocatedIn", "Mindanao" ], [ "Butuan", "isLocatedIn", "Philippines" ], [ "California", "hasCapital", "Los_Angeles" ], [ "California", "isLocatedIn", "United_States" ], [ "China", "dealsWith", "United_States" ], [ "Gray_Davis", "isPoliticianOf", "California" ], [ "Gray_Davis", "isPoliticianOf", "United_States" ], [ "Gray_Davis", "livesIn", "California" ], [ "Gray_Davis", "livesIn", "United_States" ], [ "Hong_Kong", "dealsWith", "United_States" ], [ "Indonesia", "dealsWith", "United_States" ], [ "Japan", "dealsWith", "United_States" ], [ "Jerry_Brown", "isPoliticianOf", "California" ], [ "Jerry_Brown", "isPoliticianOf", "United_States" ], [ "Jerry_Hill_(politician)", "isCitizenOf", "United_States" ], [ "Jerry_Hill_(politician)", "livesIn", "California" ], [ "Jesse_Dylan", "isCitizenOf", "United_States" ], [ "Jesse_Dylan", "livesIn", "California" ], [ "John_Cassavetes", "isCitizenOf", "United_States" ], [ "John_Cassavetes", "livesIn", "California" ], [ "Leland_Yee", "isCitizenOf", "United_States" ], [ "Leland_Yee", "livesIn", "California" ], [ "Leon_O._Chua", "isCitizenOf", "Philippines" ], [ "Leon_O._Chua", "isCitizenOf", "United_States" ], [ "Los_Angeles", "isLocatedIn", "California" ], [ "Los_Angeles", "isLocatedIn", "United_States" ], [ "Malaysia", "dealsWith", "United_States" ], [ "Marinduque", "isLocatedIn", "Philippines" ], [ "Mindanao", "isLocatedIn", "Philippines" ], [ "Mirari_Films", "isLocatedIn", "California" ], [ "Mirari_Films", "isLocatedIn", "United_States" ], [ "Moro_insurgency_in_the_Philippines", "happenedIn", "Mindanao" ], [ "Moro_insurgency_in_the_Philippines", "happenedIn", "Philippines" ], [ "People_Power_Revolution", "happenedIn", "Philippines" ], [ "Philippine_Revolution", "happenedIn", "Philippines" ], [ "Philippines", "dealsWith", "China" ], [ "Philippines", "dealsWith", "Hong_Kong" ], [ "Philippines", "dealsWith", "Indonesia" ], [ "Philippines", "dealsWith", "Japan" ], [ "Philippines", "dealsWith", "Malaysia" ], [ "Philippines", "dealsWith", "Saudi_Arabia" ], [ "Philippines", "dealsWith", "Singapore" ], [ "Philippines", "dealsWith", "South_Korea" ], [ "Philippines", "dealsWith", "Thailand" ], [ "Philippines", "dealsWith", "United_States" ], [ "Philippines", "hasCapital", "Batangas" ], [ "Philippines", "participatedIn", "Battle_of_Heartbreak_Ridge" ], [ "Philippines", "participatedIn", "Battle_of_the_Imjin_River" ], [ "Philippines", "participatedIn", "Congo_Crisis" ], [ "Philippines", "participatedIn", "International_Force_for_East_Timor" ], [ "Philippines", "participatedIn", "Korean_War" ], [ "Philippines", "participatedIn", "Moro_insurgency_in_the_Philippines" ], [ "Philippines", "participatedIn", "Nicaraguan_Revolution" ], [ "Philippines", "participatedIn", "Operation_Enduring_Freedom" ], [ "Philippines", "participatedIn", "Operation_Ripper" ], [ "Philippines", "participatedIn", "War_on_Terror" ], [ "Philippine–American_War", "happenedIn", "Philippines" ], [ "Rahadyan_Sastrowardoyo", "isCitizenOf", "Philippines" ], [ "Rahadyan_Sastrowardoyo", "isCitizenOf", "United_States" ], [ "Richard_Riordan", "livesIn", "California" ], [ "Richard_Riordan", "livesIn", "United_States" ], [ "Roland_Emmerich", "livesIn", "California" ], [ "Roland_Emmerich", "livesIn", "United_States" ], [ "Salinas,_California", "isLocatedIn", "California" ], [ "Salinas,_California", "isLocatedIn", "United_States" ], [ "Santa_Monica_College", "isLocatedIn", "California" ], [ "Santa_Monica_College", "isLocatedIn", "United_States" ], [ "Saudi_Arabia", "dealsWith", "United_States" ], [ "Singapore", "dealsWith", "United_States" ], [ "Siskiyou_County,_California", "isLocatedIn", "California" ], [ "Siskiyou_County,_California", "isLocatedIn", "United_States" ], [ "South_Korea", "dealsWith", "United_States" ], [ "Spanish–American_War", "happenedIn", "Philippines" ], [ "Thailand", "dealsWith", "United_States" ], [ "United_States", "dealsWith", "China" ], [ "United_States", "dealsWith", "Japan" ], [ "United_States", "participatedIn", "Batangas" ], [ "United_States", "participatedIn", "Battle_of_Heartbreak_Ridge" ], [ "United_States", "participatedIn", "Battle_of_Leyte" ], [ "United_States", "participatedIn", "Battle_of_Leyte_Gulf" ], [ "United_States", "participatedIn", "Battle_of_the_Imjin_River" ], [ "United_States", "participatedIn", "Battle_of_the_Visayas" ], [ "United_States", "participatedIn", "Congo_Crisis" ], [ "United_States", "participatedIn", "International_Force_for_East_Timor" ], [ "United_States", "participatedIn", "Korean_War" ], [ "United_States", "participatedIn", "Marinduque" ], [ "United_States", "participatedIn", "Moro_insurgency_in_the_Philippines" ], [ "United_States", "participatedIn", "Nicaraguan_Revolution" ], [ "United_States", "participatedIn", "Operation_Enduring_Freedom" ], [ "United_States", "participatedIn", "Operation_Ripper" ], [ "United_States", "participatedIn", "People_Power_Revolution" ], [ "United_States", "participatedIn", "Philippine_Revolution" ], [ "United_States", "participatedIn", "Philippine–American_War" ], [ "United_States", "participatedIn", "Spanish–American_War" ], [ "United_States", "participatedIn", "War_on_Terror" ], [ "Universal_Music_Group", "isLocatedIn", "California" ], [ "Universal_Music_Group", "isLocatedIn", "United_States" ], [ "University_of_California,_Berkeley", "isLocatedIn", "California" ], [ "University_of_California,_Berkeley", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 115641, Carlos,_Duke_of_Madrid 59265, Damien_Ryan 2058, Guerino_Vanoli_Basket 80974, Pallacanestro_Varese 84110, Varese src, edge_attr, dst 115641, diedIn, 84110 59265, isAffiliatedTo, 2058 59265, isAffiliatedTo, 80974 80974, isLocatedIn, 84110 Question: How are Carlos,_Duke_of_Madrid and Guerino_Vanoli_Basket related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Carlos,_Duke_of_Madrid", "Guerino_Vanoli_Basket" ], "valid_edges": [ [ "Carlos,_Duke_of_Madrid", "diedIn", "Varese" ], [ "Damien_Ryan", "isAffiliatedTo", "Guerino_Vanoli_Basket" ], [ "Damien_Ryan", "isAffiliatedTo", "Pallacanestro_Varese" ], [ "Pallacanestro_Varese", "isLocatedIn", "Varese" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 112751, A._E._W._Mason 13034, Andy_Payton 101582, Billy_Russell_(footballer,_born_1959) 49112, Bobby_Collins_(footballer) 1119, Callum_Tapping 31310, Celtic_F.C. 61605, Curtis_Davies 112976, David_Amoo 112042, David_Rocastle 36143, Dean_Marney_(footballer) 18660, Gary_Alexander_(footballer) 92853, Glyn_Hodges 2826, Hull_City_A.F.C. 52283, Ian_Wright 76390, Jack_Savage_(footballer) 61876, Jake_Livermore 101637, Jan_Vennegoor_of_Hesselink 115842, Jimmy_Bullard 53479, John_Bostock 110386, Justin_Whittle 113052, Leon_Cort 2107, Liam_Rosenior 45345, London 112627, Margaret_Thatcher 71694, Mark_Noble 50849, Marlon_King 93030, Martin_Hayes_(footballer) 98309, Michael_Turner_(footballer) 83420, Mick_O'Brien_(footballer_born_1893) 104824, Patrick_O'Connell_(Irish_footballer) 119097, Steven_Mouyokolo 91180, Tony_Warner 120351, Willie_Buchan src, edge_attr, dst 112751, diedIn, 45345 13034, isAffiliatedTo, 31310 13034, isAffiliatedTo, 2826 13034, playsFor, 31310 13034, playsFor, 2826 101582, isAffiliatedTo, 31310 101582, isAffiliatedTo, 2826 101582, playsFor, 31310 49112, isAffiliatedTo, 31310 49112, isAffiliatedTo, 2826 49112, playsFor, 31310 1119, isAffiliatedTo, 31310 1119, playsFor, 31310 1119, wasBornIn, 45345 61605, isAffiliatedTo, 2826 61605, playsFor, 2826 61605, wasBornIn, 45345 112976, playsFor, 2826 112976, wasBornIn, 45345 112042, isAffiliatedTo, 2826 112042, playsFor, 2826 112042, wasBornIn, 45345 36143, isAffiliatedTo, 2826 36143, playsFor, 2826 36143, wasBornIn, 45345 18660, isAffiliatedTo, 2826 18660, playsFor, 2826 18660, wasBornIn, 45345 92853, isAffiliatedTo, 2826 92853, playsFor, 2826 92853, wasBornIn, 45345 52283, isAffiliatedTo, 31310 52283, playsFor, 31310 52283, wasBornIn, 45345 76390, isAffiliatedTo, 2826 76390, playsFor, 2826 76390, wasBornIn, 45345 61876, isAffiliatedTo, 2826 61876, playsFor, 2826 61876, wasBornIn, 45345 101637, isAffiliatedTo, 31310 101637, isAffiliatedTo, 2826 101637, playsFor, 31310 101637, playsFor, 2826 115842, isAffiliatedTo, 2826 115842, playsFor, 2826 115842, wasBornIn, 45345 53479, isAffiliatedTo, 2826 53479, playsFor, 2826 53479, wasBornIn, 45345 110386, isAffiliatedTo, 31310 110386, isAffiliatedTo, 2826 110386, playsFor, 31310 110386, playsFor, 2826 113052, isAffiliatedTo, 2826 113052, playsFor, 2826 113052, wasBornIn, 45345 2107, isAffiliatedTo, 2826 2107, playsFor, 2826 2107, wasBornIn, 45345 112627, diedIn, 45345 112627, playsFor, 31310 71694, isAffiliatedTo, 2826 71694, playsFor, 2826 71694, wasBornIn, 45345 50849, isAffiliatedTo, 2826 50849, playsFor, 2826 50849, wasBornIn, 45345 93030, isAffiliatedTo, 31310 93030, playsFor, 31310 93030, wasBornIn, 45345 98309, isAffiliatedTo, 2826 98309, playsFor, 2826 98309, wasBornIn, 45345 83420, isAffiliatedTo, 31310 83420, isAffiliatedTo, 2826 83420, playsFor, 31310 83420, playsFor, 2826 104824, diedIn, 45345 104824, isAffiliatedTo, 2826 104824, playsFor, 2826 119097, isAffiliatedTo, 31310 119097, isAffiliatedTo, 2826 119097, playsFor, 31310 119097, playsFor, 2826 91180, isAffiliatedTo, 31310 91180, isAffiliatedTo, 2826 91180, playsFor, 31310 91180, playsFor, 2826 120351, isAffiliatedTo, 31310 120351, isAffiliatedTo, 2826 120351, playsFor, 31310 120351, playsFor, 2826 Question: For what reason are A._E._W._Mason and Jan_Vennegoor_of_Hesselink associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "A._E._W._Mason", "Jan_Vennegoor_of_Hesselink" ], "valid_edges": [ [ "A._E._W._Mason", "diedIn", "London" ], [ "Andy_Payton", "isAffiliatedTo", "Celtic_F.C." ], [ "Andy_Payton", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Andy_Payton", "playsFor", "Celtic_F.C." ], [ "Andy_Payton", "playsFor", "Hull_City_A.F.C." ], [ "Billy_Russell_(footballer,_born_1959)", "isAffiliatedTo", "Celtic_F.C." ], [ "Billy_Russell_(footballer,_born_1959)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Billy_Russell_(footballer,_born_1959)", "playsFor", "Celtic_F.C." ], [ "Bobby_Collins_(footballer)", "isAffiliatedTo", "Celtic_F.C." ], [ "Bobby_Collins_(footballer)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Bobby_Collins_(footballer)", "playsFor", "Celtic_F.C." ], [ "Callum_Tapping", "isAffiliatedTo", "Celtic_F.C." ], [ "Callum_Tapping", "playsFor", "Celtic_F.C." ], [ "Callum_Tapping", "wasBornIn", "London" ], [ "Curtis_Davies", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Curtis_Davies", "playsFor", "Hull_City_A.F.C." ], [ "Curtis_Davies", "wasBornIn", "London" ], [ "David_Amoo", "playsFor", "Hull_City_A.F.C." ], [ "David_Amoo", "wasBornIn", "London" ], [ "David_Rocastle", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "David_Rocastle", "playsFor", "Hull_City_A.F.C." ], [ "David_Rocastle", "wasBornIn", "London" ], [ "Dean_Marney_(footballer)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Dean_Marney_(footballer)", "playsFor", "Hull_City_A.F.C." ], [ "Dean_Marney_(footballer)", "wasBornIn", "London" ], [ "Gary_Alexander_(footballer)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Gary_Alexander_(footballer)", "playsFor", "Hull_City_A.F.C." ], [ "Gary_Alexander_(footballer)", "wasBornIn", "London" ], [ "Glyn_Hodges", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Glyn_Hodges", "playsFor", "Hull_City_A.F.C." ], [ "Glyn_Hodges", "wasBornIn", "London" ], [ "Ian_Wright", "isAffiliatedTo", "Celtic_F.C." ], [ "Ian_Wright", "playsFor", "Celtic_F.C." ], [ "Ian_Wright", "wasBornIn", "London" ], [ "Jack_Savage_(footballer)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Jack_Savage_(footballer)", "playsFor", "Hull_City_A.F.C." ], [ "Jack_Savage_(footballer)", "wasBornIn", "London" ], [ "Jake_Livermore", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Jake_Livermore", "playsFor", "Hull_City_A.F.C." ], [ "Jake_Livermore", "wasBornIn", "London" ], [ "Jan_Vennegoor_of_Hesselink", "isAffiliatedTo", "Celtic_F.C." ], [ "Jan_Vennegoor_of_Hesselink", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Jan_Vennegoor_of_Hesselink", "playsFor", "Celtic_F.C." ], [ "Jan_Vennegoor_of_Hesselink", "playsFor", "Hull_City_A.F.C." ], [ "Jimmy_Bullard", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Jimmy_Bullard", "playsFor", "Hull_City_A.F.C." ], [ "Jimmy_Bullard", "wasBornIn", "London" ], [ "John_Bostock", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "John_Bostock", "playsFor", "Hull_City_A.F.C." ], [ "John_Bostock", "wasBornIn", "London" ], [ "Justin_Whittle", "isAffiliatedTo", "Celtic_F.C." ], [ "Justin_Whittle", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Justin_Whittle", "playsFor", "Celtic_F.C." ], [ "Justin_Whittle", "playsFor", "Hull_City_A.F.C." ], [ "Leon_Cort", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Leon_Cort", "playsFor", "Hull_City_A.F.C." ], [ "Leon_Cort", "wasBornIn", "London" ], [ "Liam_Rosenior", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Liam_Rosenior", "playsFor", "Hull_City_A.F.C." ], [ "Liam_Rosenior", "wasBornIn", "London" ], [ "Margaret_Thatcher", "diedIn", "London" ], [ "Margaret_Thatcher", "playsFor", "Celtic_F.C." ], [ "Mark_Noble", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Mark_Noble", "playsFor", "Hull_City_A.F.C." ], [ "Mark_Noble", "wasBornIn", "London" ], [ "Marlon_King", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Marlon_King", "playsFor", "Hull_City_A.F.C." ], [ "Marlon_King", "wasBornIn", "London" ], [ "Martin_Hayes_(footballer)", "isAffiliatedTo", "Celtic_F.C." ], [ "Martin_Hayes_(footballer)", "playsFor", "Celtic_F.C." ], [ "Martin_Hayes_(footballer)", "wasBornIn", "London" ], [ "Michael_Turner_(footballer)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Michael_Turner_(footballer)", "playsFor", "Hull_City_A.F.C." ], [ "Michael_Turner_(footballer)", "wasBornIn", "London" ], [ "Mick_O'Brien_(footballer_born_1893)", "isAffiliatedTo", "Celtic_F.C." ], [ "Mick_O'Brien_(footballer_born_1893)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Mick_O'Brien_(footballer_born_1893)", "playsFor", "Celtic_F.C." ], [ "Mick_O'Brien_(footballer_born_1893)", "playsFor", "Hull_City_A.F.C." ], [ "Patrick_O'Connell_(Irish_footballer)", "diedIn", "London" ], [ "Patrick_O'Connell_(Irish_footballer)", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Patrick_O'Connell_(Irish_footballer)", "playsFor", "Hull_City_A.F.C." ], [ "Steven_Mouyokolo", "isAffiliatedTo", "Celtic_F.C." ], [ "Steven_Mouyokolo", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Steven_Mouyokolo", "playsFor", "Celtic_F.C." ], [ "Steven_Mouyokolo", "playsFor", "Hull_City_A.F.C." ], [ "Tony_Warner", "isAffiliatedTo", "Celtic_F.C." ], [ "Tony_Warner", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Tony_Warner", "playsFor", "Celtic_F.C." ], [ "Tony_Warner", "playsFor", "Hull_City_A.F.C." ], [ "Willie_Buchan", "isAffiliatedTo", "Celtic_F.C." ], [ "Willie_Buchan", "isAffiliatedTo", "Hull_City_A.F.C." ], [ "Willie_Buchan", "playsFor", "Celtic_F.C." ], [ "Willie_Buchan", "playsFor", "Hull_City_A.F.C." ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 104230, Adam_Smith 119012, Alex_Salmond 101596, Alexander_Graham_Bell 13718, Alexander_Macfarlane 80561, Alistair_MacLean 105387, Andy_Miah 102926, Angus_Macfadyen 77072, Arthur_Albiston 26282, Ayr_United_F.C. 680, Bruce_Douglas_(rugby_union) 50531, Chris_Sawyer 83187, Colin_Maclaurin 111542, Dave_Rogers_(footballer) 66178, David_Brewster 79655, David_Cameron 43484, David_Gill_(astronomer) 37185, Doug_Somner 35220, Eddie_Malone 107429, Edinburgh 10511, Euan_Murray 26677, George_Chrystal 3500, Gordon_Plotkin 17033, Graeme_Smith_(footballer_born_1983) 65973, Henry_McLeish 81028, James_Braid_(surgeon) 53991, James_Ivory_(mathematician) 57443, James_Mirrlees 25989, James_Watt 35428, John_Clark_(footballer_born_1964) 100532, John_Hughes_(footballer,_born_1964) 65930, John_Mackenzie_(director) 19950, Joseph_Wedderburn 84727, Kevin_James_(Scottish_footballer) 42119, Kevin_Twaddle 81904, Lewis_Fry_Richardson 94384, Liam_Buchanan 59093, Liverpool 2919, Malcolm_Robertson_(footballer) 51727, Marc_Smyth 110326, Mark_Ward_(footballer,_born_1962) 1723, Michael_Renwick 93070, Moses_Sakyi 70283, Paul_Sheerin 109945, Peter_Higgs 15709, Peter_Tait_(physicist) 60126, Robert_Burns 50573, Rod_Burstall 73823, Scotland 69626, Scott_Crabbe 61288, Steven_Boyack 74167, William_Ramsay 86229, William_Rowan_Hamilton 118104, male src, edge_attr, dst 104230, hasGender, 118104 104230, isCitizenOf, 73823 119012, hasGender, 118104 119012, isLeaderOf, 73823 119012, isPoliticianOf, 73823 119012, livesIn, 73823 101596, hasGender, 118104 101596, isCitizenOf, 73823 13718, hasGender, 118104 13718, isCitizenOf, 73823 80561, hasGender, 118104 80561, isCitizenOf, 73823 105387, hasGender, 118104 105387, livesIn, 73823 102926, hasGender, 118104 102926, isCitizenOf, 73823 77072, hasGender, 118104 77072, isAffiliatedTo, 26282 77072, playsFor, 26282 77072, wasBornIn, 107429 26282, isLocatedIn, 73823 680, hasGender, 118104 680, isCitizenOf, 73823 50531, hasGender, 118104 50531, livesIn, 73823 83187, hasGender, 118104 83187, isCitizenOf, 73823 83187, livesIn, 73823 111542, hasGender, 118104 111542, isAffiliatedTo, 26282 111542, playsFor, 26282 111542, wasBornIn, 59093 66178, hasGender, 118104 66178, isCitizenOf, 73823 79655, hasGender, 118104 79655, isLeaderOf, 73823 43484, hasGender, 118104 43484, isCitizenOf, 73823 37185, hasGender, 118104 37185, isAffiliatedTo, 26282 37185, playsFor, 26282 37185, wasBornIn, 107429 35220, hasGender, 118104 35220, isAffiliatedTo, 26282 35220, playsFor, 26282 35220, wasBornIn, 107429 107429, isLocatedIn, 73823 10511, hasGender, 118104 10511, isCitizenOf, 73823 26677, hasGender, 118104 26677, livesIn, 73823 3500, hasGender, 118104 3500, livesIn, 73823 17033, hasGender, 118104 17033, isAffiliatedTo, 26282 17033, playsFor, 26282 17033, wasBornIn, 107429 65973, hasGender, 118104 65973, isPoliticianOf, 73823 81028, hasGender, 118104 81028, isCitizenOf, 73823 53991, hasGender, 118104 53991, isCitizenOf, 73823 57443, hasGender, 118104 57443, isCitizenOf, 73823 25989, hasGender, 118104 25989, isCitizenOf, 73823 35428, hasGender, 118104 35428, isAffiliatedTo, 26282 35428, playsFor, 26282 35428, wasBornIn, 107429 100532, hasGender, 118104 100532, isAffiliatedTo, 26282 100532, playsFor, 26282 100532, wasBornIn, 107429 65930, hasGender, 118104 65930, isCitizenOf, 73823 19950, hasGender, 118104 19950, isCitizenOf, 73823 84727, hasGender, 118104 84727, isAffiliatedTo, 26282 84727, playsFor, 26282 84727, wasBornIn, 107429 42119, hasGender, 118104 42119, isAffiliatedTo, 26282 42119, playsFor, 26282 42119, wasBornIn, 107429 81904, hasGender, 118104 81904, livesIn, 73823 94384, hasGender, 118104 94384, isAffiliatedTo, 26282 94384, playsFor, 26282 94384, wasBornIn, 107429 2919, hasGender, 118104 2919, isAffiliatedTo, 26282 2919, playsFor, 26282 2919, wasBornIn, 107429 51727, hasGender, 118104 51727, isAffiliatedTo, 26282 51727, playsFor, 26282 51727, wasBornIn, 107429 110326, hasGender, 118104 110326, isAffiliatedTo, 26282 110326, playsFor, 26282 110326, wasBornIn, 59093 1723, hasGender, 118104 1723, isAffiliatedTo, 26282 1723, playsFor, 26282 1723, wasBornIn, 107429 93070, hasGender, 118104 70283, hasGender, 118104 70283, isAffiliatedTo, 26282 70283, playsFor, 26282 70283, wasBornIn, 107429 109945, hasGender, 118104 109945, livesIn, 73823 15709, hasGender, 118104 15709, isCitizenOf, 73823 60126, hasGender, 118104 60126, isCitizenOf, 73823 50573, hasGender, 118104 50573, livesIn, 73823 73823, hasCapital, 107429 69626, hasGender, 118104 69626, isAffiliatedTo, 26282 69626, playsFor, 26282 69626, wasBornIn, 107429 61288, hasGender, 118104 61288, isAffiliatedTo, 26282 61288, playsFor, 26282 61288, wasBornIn, 107429 74167, hasGender, 118104 74167, isCitizenOf, 73823 86229, hasGender, 118104 86229, isCitizenOf, 73823 Question: In what context are Ayr_United_F.C. and Moses_Sakyi connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Ayr_United_F.C.", "Moses_Sakyi" ], "valid_edges": [ [ "Adam_Smith", "hasGender", "male" ], [ "Adam_Smith", "isCitizenOf", "Scotland" ], [ "Alex_Salmond", "hasGender", "male" ], [ "Alex_Salmond", "isLeaderOf", "Scotland" ], [ "Alex_Salmond", "isPoliticianOf", "Scotland" ], [ "Alex_Salmond", "livesIn", "Scotland" ], [ "Alexander_Graham_Bell", "hasGender", "male" ], [ "Alexander_Graham_Bell", "isCitizenOf", "Scotland" ], [ "Alexander_Macfarlane", "hasGender", "male" ], [ "Alexander_Macfarlane", "isCitizenOf", "Scotland" ], [ "Alistair_MacLean", "hasGender", "male" ], [ "Alistair_MacLean", "isCitizenOf", "Scotland" ], [ "Andy_Miah", "hasGender", "male" ], [ "Andy_Miah", "livesIn", "Scotland" ], [ "Angus_Macfadyen", "hasGender", "male" ], [ "Angus_Macfadyen", "isCitizenOf", "Scotland" ], [ "Arthur_Albiston", "hasGender", "male" ], [ "Arthur_Albiston", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Arthur_Albiston", "playsFor", "Ayr_United_F.C." ], [ "Arthur_Albiston", "wasBornIn", "Edinburgh" ], [ "Ayr_United_F.C.", "isLocatedIn", "Scotland" ], [ "Bruce_Douglas_(rugby_union)", "hasGender", "male" ], [ "Bruce_Douglas_(rugby_union)", "isCitizenOf", "Scotland" ], [ "Chris_Sawyer", "hasGender", "male" ], [ "Chris_Sawyer", "livesIn", "Scotland" ], [ "Colin_Maclaurin", "hasGender", "male" ], [ "Colin_Maclaurin", "isCitizenOf", "Scotland" ], [ "Colin_Maclaurin", "livesIn", "Scotland" ], [ "Dave_Rogers_(footballer)", "hasGender", "male" ], [ "Dave_Rogers_(footballer)", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Dave_Rogers_(footballer)", "playsFor", "Ayr_United_F.C." ], [ "Dave_Rogers_(footballer)", "wasBornIn", "Liverpool" ], [ "David_Brewster", "hasGender", "male" ], [ "David_Brewster", "isCitizenOf", "Scotland" ], [ "David_Cameron", "hasGender", "male" ], [ "David_Cameron", "isLeaderOf", "Scotland" ], [ "David_Gill_(astronomer)", "hasGender", "male" ], [ "David_Gill_(astronomer)", "isCitizenOf", "Scotland" ], [ "Doug_Somner", "hasGender", "male" ], [ "Doug_Somner", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Doug_Somner", "playsFor", "Ayr_United_F.C." ], [ "Doug_Somner", "wasBornIn", "Edinburgh" ], [ "Eddie_Malone", "hasGender", "male" ], [ "Eddie_Malone", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Eddie_Malone", "playsFor", "Ayr_United_F.C." ], [ "Eddie_Malone", "wasBornIn", "Edinburgh" ], [ "Edinburgh", "isLocatedIn", "Scotland" ], [ "Euan_Murray", "hasGender", "male" ], [ "Euan_Murray", "isCitizenOf", "Scotland" ], [ "George_Chrystal", "hasGender", "male" ], [ "George_Chrystal", "livesIn", "Scotland" ], [ "Gordon_Plotkin", "hasGender", "male" ], [ "Gordon_Plotkin", "livesIn", "Scotland" ], [ "Graeme_Smith_(footballer_born_1983)", "hasGender", "male" ], [ "Graeme_Smith_(footballer_born_1983)", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Graeme_Smith_(footballer_born_1983)", "playsFor", "Ayr_United_F.C." ], [ "Graeme_Smith_(footballer_born_1983)", "wasBornIn", "Edinburgh" ], [ "Henry_McLeish", "hasGender", "male" ], [ "Henry_McLeish", "isPoliticianOf", "Scotland" ], [ "James_Braid_(surgeon)", "hasGender", "male" ], [ "James_Braid_(surgeon)", "isCitizenOf", "Scotland" ], [ "James_Ivory_(mathematician)", "hasGender", "male" ], [ "James_Ivory_(mathematician)", "isCitizenOf", "Scotland" ], [ "James_Mirrlees", "hasGender", "male" ], [ "James_Mirrlees", "isCitizenOf", "Scotland" ], [ "James_Watt", "hasGender", "male" ], [ "James_Watt", "isCitizenOf", "Scotland" ], [ "John_Clark_(footballer_born_1964)", "hasGender", "male" ], [ "John_Clark_(footballer_born_1964)", "isAffiliatedTo", "Ayr_United_F.C." ], [ "John_Clark_(footballer_born_1964)", "playsFor", "Ayr_United_F.C." ], [ "John_Clark_(footballer_born_1964)", "wasBornIn", "Edinburgh" ], [ "John_Hughes_(footballer,_born_1964)", "hasGender", "male" ], [ "John_Hughes_(footballer,_born_1964)", "isAffiliatedTo", "Ayr_United_F.C." ], [ "John_Hughes_(footballer,_born_1964)", "playsFor", "Ayr_United_F.C." ], [ "John_Hughes_(footballer,_born_1964)", "wasBornIn", "Edinburgh" ], [ "John_Mackenzie_(director)", "hasGender", "male" ], [ "John_Mackenzie_(director)", "isCitizenOf", "Scotland" ], [ "Joseph_Wedderburn", "hasGender", "male" ], [ "Joseph_Wedderburn", "isCitizenOf", "Scotland" ], [ "Kevin_James_(Scottish_footballer)", "hasGender", "male" ], [ "Kevin_James_(Scottish_footballer)", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Kevin_James_(Scottish_footballer)", "playsFor", "Ayr_United_F.C." ], [ "Kevin_James_(Scottish_footballer)", "wasBornIn", "Edinburgh" ], [ "Kevin_Twaddle", "hasGender", "male" ], [ "Kevin_Twaddle", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Kevin_Twaddle", "playsFor", "Ayr_United_F.C." ], [ "Kevin_Twaddle", "wasBornIn", "Edinburgh" ], [ "Lewis_Fry_Richardson", "hasGender", "male" ], [ "Lewis_Fry_Richardson", "livesIn", "Scotland" ], [ "Liam_Buchanan", "hasGender", "male" ], [ "Liam_Buchanan", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Liam_Buchanan", "playsFor", "Ayr_United_F.C." ], [ "Liam_Buchanan", "wasBornIn", "Edinburgh" ], [ "Malcolm_Robertson_(footballer)", "hasGender", "male" ], [ "Malcolm_Robertson_(footballer)", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Malcolm_Robertson_(footballer)", "playsFor", "Ayr_United_F.C." ], [ "Malcolm_Robertson_(footballer)", "wasBornIn", "Edinburgh" ], [ "Marc_Smyth", "hasGender", "male" ], [ "Marc_Smyth", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Marc_Smyth", "playsFor", "Ayr_United_F.C." ], [ "Marc_Smyth", "wasBornIn", "Edinburgh" ], [ "Mark_Ward_(footballer,_born_1962)", "hasGender", "male" ], [ "Mark_Ward_(footballer,_born_1962)", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Mark_Ward_(footballer,_born_1962)", "playsFor", "Ayr_United_F.C." ], [ "Mark_Ward_(footballer,_born_1962)", "wasBornIn", "Liverpool" ], [ "Michael_Renwick", "hasGender", "male" ], [ "Michael_Renwick", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Michael_Renwick", "playsFor", "Ayr_United_F.C." ], [ "Michael_Renwick", "wasBornIn", "Edinburgh" ], [ "Moses_Sakyi", "hasGender", "male" ], [ "Paul_Sheerin", "hasGender", "male" ], [ "Paul_Sheerin", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Paul_Sheerin", "playsFor", "Ayr_United_F.C." ], [ "Paul_Sheerin", "wasBornIn", "Edinburgh" ], [ "Peter_Higgs", "hasGender", "male" ], [ "Peter_Higgs", "livesIn", "Scotland" ], [ "Peter_Tait_(physicist)", "hasGender", "male" ], [ "Peter_Tait_(physicist)", "isCitizenOf", "Scotland" ], [ "Robert_Burns", "hasGender", "male" ], [ "Robert_Burns", "isCitizenOf", "Scotland" ], [ "Rod_Burstall", "hasGender", "male" ], [ "Rod_Burstall", "livesIn", "Scotland" ], [ "Scotland", "hasCapital", "Edinburgh" ], [ "Scott_Crabbe", "hasGender", "male" ], [ "Scott_Crabbe", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Scott_Crabbe", "playsFor", "Ayr_United_F.C." ], [ "Scott_Crabbe", "wasBornIn", "Edinburgh" ], [ "Steven_Boyack", "hasGender", "male" ], [ "Steven_Boyack", "isAffiliatedTo", "Ayr_United_F.C." ], [ "Steven_Boyack", "playsFor", "Ayr_United_F.C." ], [ "Steven_Boyack", "wasBornIn", "Edinburgh" ], [ "William_Ramsay", "hasGender", "male" ], [ "William_Ramsay", "isCitizenOf", "Scotland" ], [ "William_Rowan_Hamilton", "hasGender", "male" ], [ "William_Rowan_Hamilton", "isCitizenOf", "Scotland" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 118228, Accra 51925, Chris_Brown 23400, Dominic_Oduro 114901, Ghana 76686, Greater_Accra_Region 52588, Hilla_Limann 10867, James_Dissiramah 30818, Jerry_Rawlings 81384, John_Dramani_Mahama 81837, Kwame_Nkrumah 98628, Prince_Nana_(footballer) 45472, University_of_Ghana 118104, male src, edge_attr, dst 118228, isLocatedIn, 114901 118228, isLocatedIn, 76686 51925, hasGender, 118104 23400, hasGender, 118104 23400, isAffiliatedTo, 45472 23400, playsFor, 45472 23400, wasBornIn, 118228 114901, hasCapital, 118228 76686, hasCapital, 118228 76686, isLocatedIn, 114901 52588, hasGender, 118104 52588, isPoliticianOf, 114901 10867, hasGender, 118104 10867, isAffiliatedTo, 45472 10867, playsFor, 45472 10867, wasBornIn, 118228 30818, hasGender, 118104 30818, isPoliticianOf, 114901 81384, graduatedFrom, 45472 81384, hasGender, 118104 81384, isLeaderOf, 114901 81384, isPoliticianOf, 114901 81837, hasGender, 118104 81837, isPoliticianOf, 114901 98628, hasGender, 118104 98628, isAffiliatedTo, 45472 45472, isLocatedIn, 114901 45472, isLocatedIn, 76686 Question: For what reason are Chris_Brown and University_of_Ghana associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Chris_Brown", "University_of_Ghana" ], "valid_edges": [ [ "Accra", "isLocatedIn", "Ghana" ], [ "Accra", "isLocatedIn", "Greater_Accra_Region" ], [ "Chris_Brown", "hasGender", "male" ], [ "Dominic_Oduro", "hasGender", "male" ], [ "Dominic_Oduro", "isAffiliatedTo", "University_of_Ghana" ], [ "Dominic_Oduro", "playsFor", "University_of_Ghana" ], [ "Dominic_Oduro", "wasBornIn", "Accra" ], [ "Ghana", "hasCapital", "Accra" ], [ "Greater_Accra_Region", "hasCapital", "Accra" ], [ "Greater_Accra_Region", "isLocatedIn", "Ghana" ], [ "Hilla_Limann", "hasGender", "male" ], [ "Hilla_Limann", "isPoliticianOf", "Ghana" ], [ "James_Dissiramah", "hasGender", "male" ], [ "James_Dissiramah", "isAffiliatedTo", "University_of_Ghana" ], [ "James_Dissiramah", "playsFor", "University_of_Ghana" ], [ "James_Dissiramah", "wasBornIn", "Accra" ], [ "Jerry_Rawlings", "hasGender", "male" ], [ "Jerry_Rawlings", "isPoliticianOf", "Ghana" ], [ "John_Dramani_Mahama", "graduatedFrom", "University_of_Ghana" ], [ "John_Dramani_Mahama", "hasGender", "male" ], [ "John_Dramani_Mahama", "isLeaderOf", "Ghana" ], [ "John_Dramani_Mahama", "isPoliticianOf", "Ghana" ], [ "Kwame_Nkrumah", "hasGender", "male" ], [ "Kwame_Nkrumah", "isPoliticianOf", "Ghana" ], [ "Prince_Nana_(footballer)", "hasGender", "male" ], [ "Prince_Nana_(footballer)", "isAffiliatedTo", "University_of_Ghana" ], [ "University_of_Ghana", "isLocatedIn", "Ghana" ], [ "University_of_Ghana", "isLocatedIn", "Greater_Accra_Region" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 97117, Bryn_Mawr_College 20001, Jane_Dammen_McAuliffe 22836, Ontario 110171, Rogers_Communications 74240, University_of_Toronto src, edge_attr, dst 20001, graduatedFrom, 74240 20001, worksAt, 97117 20001, worksAt, 74240 110171, isLocatedIn, 22836 74240, isLocatedIn, 22836 Question: How are Bryn_Mawr_College and Rogers_Communications related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Bryn_Mawr_College", "Rogers_Communications" ], "valid_edges": [ [ "Jane_Dammen_McAuliffe", "graduatedFrom", "University_of_Toronto" ], [ "Jane_Dammen_McAuliffe", "worksAt", "Bryn_Mawr_College" ], [ "Jane_Dammen_McAuliffe", "worksAt", "University_of_Toronto" ], [ "Rogers_Communications", "isLocatedIn", "Ontario" ], [ "University_of_Toronto", "isLocatedIn", "Ontario" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 88804, Burlington,_Wisconsin 80212, Lyudmyla_Pekur 92027, Tammy_Baldwin 90384, Wisconsin 80384, female src, edge_attr, dst 88804, isLocatedIn, 90384 80212, hasGender, 80384 92027, hasGender, 80384 92027, livesIn, 90384 Question: For what reason are Burlington,_Wisconsin and Lyudmyla_Pekur associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Burlington,_Wisconsin", "Lyudmyla_Pekur" ], "valid_edges": [ [ "Burlington,_Wisconsin", "isLocatedIn", "Wisconsin" ], [ "Lyudmyla_Pekur", "hasGender", "female" ], [ "Tammy_Baldwin", "hasGender", "female" ], [ "Tammy_Baldwin", "livesIn", "Wisconsin" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 30909, Adrián_Fernández_(footballer) 7323, Alan_Kardec 85238, André_Almeida 54623, André_Gomes 49533, António_Pedro_de_Brito_Lopes 46157, Beth_Edmonds 954, Bijou_(footballer) 46884, Bruno_Aguiar 74892, Bruno_Costa 101577, Bruno_Simão 44595, Carlos_Jorge_Neto_Martins 91541, Daniel_Candeias 22425, Daniel_Mladenov 53930, David_Simão 96776, Diogo_Miguel_Alves_Luís 106543, Djalma_Henrique_da_Silva 65167, Eduardo_Simões 100819, Erwin_Sánchez 71403, Eurico_Gomes 86976, Evelyn_de_Mille 79597, F.C._Paços_de_Ferreira 28172, Fernando_Alexandre 89872, Fernando_Chalana 123015, Georgi_Andonov 97119, Georgi_Bozhilov 472, Geraldo_Alves 116121, Gilberto_Galdino_dos_Santos 11306, Gustavo_Manduca 112493, Hugo_Porfírio 17042, Hélder_Cristóvão 2635, Hélio_Pinto 122671, Hélio_Roque 70868, Ilian_Iliev 40051, Inzaghi_Donígio 114880, J._K._Rowling 97098, Jane_Branstetter_Stranch 28928, Joan_of_Arc 61683, Jonathan_Urretaviscaya 108735, Jorge_Ribeiro 23445, José_Fonte 102932, José_Manuel_Barbosa_Alves 16527, José_Moreira 23935, José_Tavares 35458, João_Coimbra 3516, João_Pereira_(Portuguese_footballer) 97457, João_Vilela 101937, Kevin_Amuneke 32409, Kosta_Yanev 56574, Leandro_Pimenta 64860, Lionel_Carole 33740, Lorenzo_Melgarejo 27349, Luisa_de_Guzmán 122506, Luís_Andrade 113746, Luís_Carlos_Correia_Pinto 42137, Luís_Martins 47620, Luís_Zambujo 121715, Lúcio_Wagner 113403, Manuel_Curto 55271, Manuel_José_de_Jesus 23690, Marco_Ferreira 97180, Marco_Paulo_Faria_Lemos 84484, Marin_Petrov 97890, Michel_Souza_da_Silva 64837, Miguel_Lopes 81781, Miguel_Vítor 119310, Nicolás_Canales 43638, Nikola_Spasov 20939, Nuno_Afonso 98196, Nélson_Oliveira 64647, Nélson_Veríssimo 47972, PFC_Cherno_More_Varna 60265, PSFC_Chernomorets_Burgas 53997, Paulo_Almeida 50923, Pizzi_(Portuguese_footballer) 52977, Plamen_Kolev 112319, Radoslav_Zdravkov 4826, Raul_Águas 73843, Ricardo_André 49366, Ricardo_Campos 97206, Ricardo_Esteves 67552, Ricardo_Janota 103562, Ricardo_Nunes 47760, Roderick_Miranda 5609, Rogelio_Funes_Mori 119553, Rui_Fonte 58116, Rui_Miguel_Rodrigues 44869, Rui_Nereu 3865, S.L._Benfica 30266, S.L._Benfica_B 60631, Sidnei_(footballer_born_1989) 67730, Steven_Vitória 58419, Tiago_Costa 57368, Tiago_Henrique_Damil_Gomes 76866, Todor_Palankov 87359, Toy_(footballer_born_1977) 54475, Vivian_Rich 80384, female 29807, Đỗ_Thị_Ngân_Thương src, edge_attr, dst 30909, isAffiliatedTo, 47972 30909, isAffiliatedTo, 60265 30909, playsFor, 47972 30909, playsFor, 60265 7323, isAffiliatedTo, 3865 7323, isAffiliatedTo, 30266 7323, playsFor, 3865 7323, playsFor, 30266 85238, isAffiliatedTo, 3865 85238, playsFor, 3865 85238, playsFor, 30266 54623, isAffiliatedTo, 3865 54623, playsFor, 3865 54623, playsFor, 30266 49533, isAffiliatedTo, 3865 49533, isAffiliatedTo, 30266 49533, playsFor, 3865 49533, playsFor, 30266 46157, hasGender, 80384 46157, playsFor, 3865 954, isAffiliatedTo, 3865 954, isAffiliatedTo, 30266 954, playsFor, 3865 954, playsFor, 30266 46884, isAffiliatedTo, 3865 46884, isAffiliatedTo, 30266 46884, playsFor, 3865 46884, playsFor, 30266 74892, isAffiliatedTo, 3865 74892, isAffiliatedTo, 30266 74892, playsFor, 3865 74892, playsFor, 30266 101577, isAffiliatedTo, 3865 101577, isAffiliatedTo, 30266 101577, playsFor, 3865 101577, playsFor, 30266 44595, isAffiliatedTo, 3865 44595, isAffiliatedTo, 30266 44595, playsFor, 3865 44595, playsFor, 30266 91541, isAffiliatedTo, 79597 91541, isAffiliatedTo, 3865 91541, playsFor, 79597 91541, playsFor, 3865 22425, isAffiliatedTo, 47972 22425, isAffiliatedTo, 60265 22425, playsFor, 47972 22425, playsFor, 60265 53930, isAffiliatedTo, 79597 53930, isAffiliatedTo, 3865 53930, playsFor, 79597 53930, playsFor, 3865 96776, playsFor, 3865 96776, playsFor, 30266 106543, isAffiliatedTo, 79597 106543, isAffiliatedTo, 47972 106543, playsFor, 79597 106543, playsFor, 47972 65167, isAffiliatedTo, 3865 65167, isAffiliatedTo, 30266 65167, playsFor, 3865 65167, playsFor, 30266 100819, isAffiliatedTo, 3865 100819, isAffiliatedTo, 30266 100819, playsFor, 3865 100819, playsFor, 30266 71403, isAffiliatedTo, 79597 71403, isAffiliatedTo, 3865 71403, playsFor, 3865 86976, hasGender, 80384 86976, playsFor, 47972 86976, playsFor, 3865 28172, playsFor, 3865 28172, playsFor, 30266 89872, isAffiliatedTo, 79597 89872, isAffiliatedTo, 3865 89872, playsFor, 3865 123015, isAffiliatedTo, 47972 123015, isAffiliatedTo, 60265 123015, playsFor, 47972 123015, playsFor, 60265 97119, isAffiliatedTo, 47972 97119, isAffiliatedTo, 60265 97119, playsFor, 47972 97119, playsFor, 60265 472, isAffiliatedTo, 79597 472, isAffiliatedTo, 3865 472, isAffiliatedTo, 30266 472, playsFor, 79597 472, playsFor, 3865 472, playsFor, 30266 116121, isAffiliatedTo, 79597 116121, isAffiliatedTo, 3865 116121, playsFor, 79597 116121, playsFor, 3865 11306, isAffiliatedTo, 79597 11306, isAffiliatedTo, 3865 11306, playsFor, 79597 11306, playsFor, 3865 112493, isAffiliatedTo, 3865 112493, isAffiliatedTo, 30266 112493, playsFor, 3865 112493, playsFor, 30266 17042, isAffiliatedTo, 3865 17042, isAffiliatedTo, 30266 17042, playsFor, 3865 2635, isAffiliatedTo, 3865 2635, isAffiliatedTo, 30266 2635, playsFor, 3865 2635, playsFor, 30266 122671, isAffiliatedTo, 3865 122671, isAffiliatedTo, 30266 122671, playsFor, 3865 122671, playsFor, 30266 70868, isAffiliatedTo, 47972 70868, isAffiliatedTo, 3865 70868, playsFor, 47972 70868, playsFor, 3865 40051, isAffiliatedTo, 47972 40051, isAffiliatedTo, 3865 40051, playsFor, 47972 40051, playsFor, 3865 114880, hasGender, 80384 114880, playsFor, 3865 97098, hasGender, 80384 97098, playsFor, 79597 97098, playsFor, 3865 28928, hasGender, 80384 28928, playsFor, 60265 61683, isAffiliatedTo, 3865 61683, isAffiliatedTo, 30266 61683, playsFor, 3865 61683, playsFor, 30266 108735, isAffiliatedTo, 3865 108735, isAffiliatedTo, 30266 108735, playsFor, 3865 108735, playsFor, 30266 23445, isAffiliatedTo, 79597 23445, isAffiliatedTo, 3865 23445, playsFor, 79597 23445, playsFor, 3865 102932, playsFor, 79597 102932, playsFor, 3865 16527, isAffiliatedTo, 3865 16527, isAffiliatedTo, 30266 16527, playsFor, 3865 16527, playsFor, 30266 23935, isAffiliatedTo, 79597 23935, isAffiliatedTo, 3865 23935, playsFor, 79597 23935, playsFor, 3865 35458, isAffiliatedTo, 3865 35458, isAffiliatedTo, 30266 35458, playsFor, 3865 35458, playsFor, 30266 3516, isAffiliatedTo, 3865 3516, isAffiliatedTo, 30266 3516, playsFor, 3865 3516, playsFor, 30266 97457, isAffiliatedTo, 3865 97457, isAffiliatedTo, 30266 97457, playsFor, 30266 101937, isAffiliatedTo, 3865 101937, isAffiliatedTo, 30266 101937, playsFor, 30266 32409, isAffiliatedTo, 47972 32409, isAffiliatedTo, 60265 32409, playsFor, 47972 32409, playsFor, 60265 56574, playsFor, 3865 56574, playsFor, 30266 64860, isAffiliatedTo, 3865 64860, playsFor, 3865 64860, playsFor, 30266 33740, isAffiliatedTo, 79597 33740, isAffiliatedTo, 3865 33740, playsFor, 79597 33740, playsFor, 3865 33740, playsFor, 30266 27349, hasGender, 80384 27349, playsFor, 3865 27349, playsFor, 30266 122506, isAffiliatedTo, 3865 122506, isAffiliatedTo, 30266 122506, playsFor, 3865 122506, playsFor, 30266 113746, isAffiliatedTo, 79597 113746, isAffiliatedTo, 3865 113746, playsFor, 79597 113746, playsFor, 3865 42137, isAffiliatedTo, 3865 42137, isAffiliatedTo, 30266 42137, playsFor, 3865 42137, playsFor, 30266 47620, playsFor, 3865 47620, playsFor, 30266 121715, isAffiliatedTo, 47972 121715, isAffiliatedTo, 3865 121715, playsFor, 47972 121715, playsFor, 3865 113403, isAffiliatedTo, 3865 113403, playsFor, 3865 113403, playsFor, 30266 55271, isAffiliatedTo, 3865 55271, isAffiliatedTo, 30266 55271, playsFor, 3865 55271, playsFor, 30266 23690, isAffiliatedTo, 79597 23690, isAffiliatedTo, 3865 23690, playsFor, 79597 23690, playsFor, 3865 97180, playsFor, 79597 97180, playsFor, 3865 84484, isAffiliatedTo, 47972 84484, isAffiliatedTo, 60265 84484, playsFor, 47972 84484, playsFor, 60265 97890, isAffiliatedTo, 79597 97890, isAffiliatedTo, 3865 97890, playsFor, 79597 97890, playsFor, 3865 64837, isAffiliatedTo, 3865 64837, isAffiliatedTo, 30266 64837, playsFor, 30266 81781, isAffiliatedTo, 3865 81781, isAffiliatedTo, 30266 81781, playsFor, 3865 81781, playsFor, 30266 119310, isAffiliatedTo, 3865 119310, isAffiliatedTo, 30266 119310, playsFor, 30266 43638, isAffiliatedTo, 79597 43638, isAffiliatedTo, 47972 43638, playsFor, 79597 43638, playsFor, 47972 20939, isAffiliatedTo, 79597 20939, isAffiliatedTo, 3865 98196, isAffiliatedTo, 79597 98196, isAffiliatedTo, 3865 64647, isAffiliatedTo, 3865 64647, isAffiliatedTo, 30266 64647, playsFor, 3865 53997, isAffiliatedTo, 3865 53997, isAffiliatedTo, 30266 53997, playsFor, 3865 53997, playsFor, 30266 50923, isAffiliatedTo, 79597 50923, playsFor, 79597 50923, playsFor, 3865 52977, isAffiliatedTo, 47972 52977, isAffiliatedTo, 60265 52977, playsFor, 47972 52977, playsFor, 60265 112319, isAffiliatedTo, 79597 112319, isAffiliatedTo, 47972 112319, playsFor, 79597 4826, isAffiliatedTo, 79597 4826, playsFor, 3865 73843, isAffiliatedTo, 79597 73843, isAffiliatedTo, 47972 73843, isAffiliatedTo, 60265 73843, isAffiliatedTo, 3865 73843, isAffiliatedTo, 30266 73843, playsFor, 79597 73843, playsFor, 47972 73843, playsFor, 60265 73843, playsFor, 3865 73843, playsFor, 30266 49366, playsFor, 3865 49366, playsFor, 30266 97206, isAffiliatedTo, 79597 97206, isAffiliatedTo, 3865 97206, isAffiliatedTo, 30266 97206, playsFor, 79597 97206, playsFor, 3865 97206, playsFor, 30266 67552, playsFor, 3865 67552, playsFor, 30266 103562, playsFor, 3865 103562, playsFor, 30266 47760, isAffiliatedTo, 3865 47760, playsFor, 3865 47760, playsFor, 30266 5609, playsFor, 3865 5609, playsFor, 30266 119553, isAffiliatedTo, 3865 119553, isAffiliatedTo, 30266 119553, playsFor, 30266 58116, isAffiliatedTo, 79597 58116, playsFor, 79597 58116, playsFor, 3865 44869, isAffiliatedTo, 3865 44869, isAffiliatedTo, 30266 44869, playsFor, 3865 44869, playsFor, 30266 3865, owns, 30266 60631, isAffiliatedTo, 3865 60631, isAffiliatedTo, 30266 60631, playsFor, 3865 60631, playsFor, 30266 67730, playsFor, 3865 67730, playsFor, 30266 58419, isAffiliatedTo, 3865 58419, isAffiliatedTo, 30266 58419, playsFor, 30266 57368, isAffiliatedTo, 3865 57368, isAffiliatedTo, 30266 57368, playsFor, 3865 57368, playsFor, 30266 76866, isAffiliatedTo, 47972 76866, isAffiliatedTo, 60265 76866, playsFor, 47972 76866, playsFor, 60265 87359, isAffiliatedTo, 3865 87359, isAffiliatedTo, 30266 87359, playsFor, 3865 87359, playsFor, 30266 54475, hasGender, 80384 29807, hasGender, 80384 29807, playsFor, 3865 29807, playsFor, 30266 Question: How are Ricardo_André and Vivian_Rich related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Ricardo_André", "Vivian_Rich" ], "valid_edges": [ [ "Adrián_Fernández_(footballer)", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Adrián_Fernández_(footballer)", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Adrián_Fernández_(footballer)", "playsFor", "PFC_Cherno_More_Varna" ], [ "Adrián_Fernández_(footballer)", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Alan_Kardec", "isAffiliatedTo", "S.L._Benfica" ], [ "Alan_Kardec", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Alan_Kardec", "playsFor", "S.L._Benfica" ], [ "Alan_Kardec", "playsFor", "S.L._Benfica_B" ], [ "André_Almeida", "isAffiliatedTo", "S.L._Benfica" ], [ "André_Almeida", "playsFor", "S.L._Benfica" ], [ "André_Almeida", "playsFor", "S.L._Benfica_B" ], [ "André_Gomes", "isAffiliatedTo", "S.L._Benfica" ], [ "André_Gomes", "playsFor", "S.L._Benfica" ], [ "André_Gomes", "playsFor", "S.L._Benfica_B" ], [ "António_Pedro_de_Brito_Lopes", "isAffiliatedTo", "S.L._Benfica" ], [ "António_Pedro_de_Brito_Lopes", "isAffiliatedTo", "S.L._Benfica_B" ], [ "António_Pedro_de_Brito_Lopes", "playsFor", "S.L._Benfica" ], [ "António_Pedro_de_Brito_Lopes", "playsFor", "S.L._Benfica_B" ], [ "Beth_Edmonds", "hasGender", "female" ], [ "Beth_Edmonds", "playsFor", "S.L._Benfica" ], [ "Bijou_(footballer)", "isAffiliatedTo", "S.L._Benfica" ], [ "Bijou_(footballer)", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Bijou_(footballer)", "playsFor", "S.L._Benfica" ], [ "Bijou_(footballer)", "playsFor", "S.L._Benfica_B" ], [ "Bruno_Aguiar", "isAffiliatedTo", "S.L._Benfica" ], [ "Bruno_Aguiar", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Bruno_Aguiar", "playsFor", "S.L._Benfica" ], [ "Bruno_Aguiar", "playsFor", "S.L._Benfica_B" ], [ "Bruno_Costa", "isAffiliatedTo", "S.L._Benfica" ], [ "Bruno_Costa", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Bruno_Costa", "playsFor", "S.L._Benfica" ], [ "Bruno_Costa", "playsFor", "S.L._Benfica_B" ], [ "Bruno_Simão", "isAffiliatedTo", "S.L._Benfica" ], [ "Bruno_Simão", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Bruno_Simão", "playsFor", "S.L._Benfica" ], [ "Bruno_Simão", "playsFor", "S.L._Benfica_B" ], [ "Carlos_Jorge_Neto_Martins", "isAffiliatedTo", "S.L._Benfica" ], [ "Carlos_Jorge_Neto_Martins", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Carlos_Jorge_Neto_Martins", "playsFor", "S.L._Benfica" ], [ "Carlos_Jorge_Neto_Martins", "playsFor", "S.L._Benfica_B" ], [ "Daniel_Candeias", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Daniel_Candeias", "isAffiliatedTo", "S.L._Benfica" ], [ "Daniel_Candeias", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Daniel_Candeias", "playsFor", "S.L._Benfica" ], [ "Daniel_Mladenov", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Daniel_Mladenov", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Daniel_Mladenov", "playsFor", "PFC_Cherno_More_Varna" ], [ "Daniel_Mladenov", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "David_Simão", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "David_Simão", "isAffiliatedTo", "S.L._Benfica" ], [ "David_Simão", "playsFor", "F.C._Paços_de_Ferreira" ], [ "David_Simão", "playsFor", "S.L._Benfica" ], [ "Diogo_Miguel_Alves_Luís", "playsFor", "S.L._Benfica" ], [ "Diogo_Miguel_Alves_Luís", "playsFor", "S.L._Benfica_B" ], [ "Djalma_Henrique_da_Silva", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Djalma_Henrique_da_Silva", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Djalma_Henrique_da_Silva", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Djalma_Henrique_da_Silva", "playsFor", "PFC_Cherno_More_Varna" ], [ "Eduardo_Simões", "isAffiliatedTo", "S.L._Benfica" ], [ "Eduardo_Simões", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Eduardo_Simões", "playsFor", "S.L._Benfica" ], [ "Eduardo_Simões", "playsFor", "S.L._Benfica_B" ], [ "Erwin_Sánchez", "isAffiliatedTo", "S.L._Benfica" ], [ "Erwin_Sánchez", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Erwin_Sánchez", "playsFor", "S.L._Benfica" ], [ "Erwin_Sánchez", "playsFor", "S.L._Benfica_B" ], [ "Eurico_Gomes", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Eurico_Gomes", "isAffiliatedTo", "S.L._Benfica" ], [ "Eurico_Gomes", "playsFor", "S.L._Benfica" ], [ "Evelyn_de_Mille", "hasGender", "female" ], [ "Evelyn_de_Mille", "playsFor", "PFC_Cherno_More_Varna" ], [ "Evelyn_de_Mille", "playsFor", "S.L._Benfica" ], [ "Fernando_Alexandre", "playsFor", "S.L._Benfica" ], [ "Fernando_Alexandre", "playsFor", "S.L._Benfica_B" ], [ "Fernando_Chalana", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Fernando_Chalana", "isAffiliatedTo", "S.L._Benfica" ], [ "Fernando_Chalana", "playsFor", "S.L._Benfica" ], [ "Georgi_Andonov", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Georgi_Andonov", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Georgi_Andonov", "playsFor", "PFC_Cherno_More_Varna" ], [ "Georgi_Andonov", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Georgi_Bozhilov", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Georgi_Bozhilov", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Georgi_Bozhilov", "playsFor", "PFC_Cherno_More_Varna" ], [ "Georgi_Bozhilov", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Geraldo_Alves", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Geraldo_Alves", "isAffiliatedTo", "S.L._Benfica" ], [ "Geraldo_Alves", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Geraldo_Alves", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Geraldo_Alves", "playsFor", "S.L._Benfica" ], [ "Geraldo_Alves", "playsFor", "S.L._Benfica_B" ], [ "Gilberto_Galdino_dos_Santos", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Gilberto_Galdino_dos_Santos", "isAffiliatedTo", "S.L._Benfica" ], [ "Gilberto_Galdino_dos_Santos", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Gilberto_Galdino_dos_Santos", "playsFor", "S.L._Benfica" ], [ "Gustavo_Manduca", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Gustavo_Manduca", "isAffiliatedTo", "S.L._Benfica" ], [ "Gustavo_Manduca", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Gustavo_Manduca", "playsFor", "S.L._Benfica" ], [ "Hugo_Porfírio", "isAffiliatedTo", "S.L._Benfica" ], [ "Hugo_Porfírio", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Hugo_Porfírio", "playsFor", "S.L._Benfica" ], [ "Hugo_Porfírio", "playsFor", "S.L._Benfica_B" ], [ "Hélder_Cristóvão", "isAffiliatedTo", "S.L._Benfica" ], [ "Hélder_Cristóvão", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Hélder_Cristóvão", "playsFor", "S.L._Benfica" ], [ "Hélio_Pinto", "isAffiliatedTo", "S.L._Benfica" ], [ "Hélio_Pinto", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Hélio_Pinto", "playsFor", "S.L._Benfica" ], [ "Hélio_Pinto", "playsFor", "S.L._Benfica_B" ], [ "Hélio_Roque", "isAffiliatedTo", "S.L._Benfica" ], [ "Hélio_Roque", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Hélio_Roque", "playsFor", "S.L._Benfica" ], [ "Hélio_Roque", "playsFor", "S.L._Benfica_B" ], [ "Ilian_Iliev", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Ilian_Iliev", "isAffiliatedTo", "S.L._Benfica" ], [ "Ilian_Iliev", "playsFor", "PFC_Cherno_More_Varna" ], [ "Ilian_Iliev", "playsFor", "S.L._Benfica" ], [ "Inzaghi_Donígio", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Inzaghi_Donígio", "isAffiliatedTo", "S.L._Benfica" ], [ "Inzaghi_Donígio", "playsFor", "PFC_Cherno_More_Varna" ], [ "Inzaghi_Donígio", "playsFor", "S.L._Benfica" ], [ "J._K._Rowling", "hasGender", "female" ], [ "J._K._Rowling", "playsFor", "S.L._Benfica" ], [ "Jane_Branstetter_Stranch", "hasGender", "female" ], [ "Jane_Branstetter_Stranch", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Jane_Branstetter_Stranch", "playsFor", "S.L._Benfica" ], [ "Joan_of_Arc", "hasGender", "female" ], [ "Joan_of_Arc", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Jonathan_Urretaviscaya", "isAffiliatedTo", "S.L._Benfica" ], [ "Jonathan_Urretaviscaya", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Jonathan_Urretaviscaya", "playsFor", "S.L._Benfica" ], [ "Jonathan_Urretaviscaya", "playsFor", "S.L._Benfica_B" ], [ "Jorge_Ribeiro", "isAffiliatedTo", "S.L._Benfica" ], [ "Jorge_Ribeiro", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Jorge_Ribeiro", "playsFor", "S.L._Benfica" ], [ "Jorge_Ribeiro", "playsFor", "S.L._Benfica_B" ], [ "José_Fonte", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "José_Fonte", "isAffiliatedTo", "S.L._Benfica" ], [ "José_Fonte", "playsFor", "F.C._Paços_de_Ferreira" ], [ "José_Fonte", "playsFor", "S.L._Benfica" ], [ "José_Manuel_Barbosa_Alves", "playsFor", "F.C._Paços_de_Ferreira" ], [ "José_Manuel_Barbosa_Alves", "playsFor", "S.L._Benfica" ], [ "José_Moreira", "isAffiliatedTo", "S.L._Benfica" ], [ "José_Moreira", "isAffiliatedTo", "S.L._Benfica_B" ], [ "José_Moreira", "playsFor", "S.L._Benfica" ], [ "José_Moreira", "playsFor", "S.L._Benfica_B" ], [ "José_Tavares", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "José_Tavares", "isAffiliatedTo", "S.L._Benfica" ], [ "José_Tavares", "playsFor", "F.C._Paços_de_Ferreira" ], [ "José_Tavares", "playsFor", "S.L._Benfica" ], [ "João_Coimbra", "isAffiliatedTo", "S.L._Benfica" ], [ "João_Coimbra", "isAffiliatedTo", "S.L._Benfica_B" ], [ "João_Coimbra", "playsFor", "S.L._Benfica" ], [ "João_Coimbra", "playsFor", "S.L._Benfica_B" ], [ "João_Pereira_(Portuguese_footballer)", "isAffiliatedTo", "S.L._Benfica" ], [ "João_Pereira_(Portuguese_footballer)", "isAffiliatedTo", "S.L._Benfica_B" ], [ "João_Pereira_(Portuguese_footballer)", "playsFor", "S.L._Benfica" ], [ "João_Pereira_(Portuguese_footballer)", "playsFor", "S.L._Benfica_B" ], [ "João_Vilela", "isAffiliatedTo", "S.L._Benfica" ], [ "João_Vilela", "isAffiliatedTo", "S.L._Benfica_B" ], [ "João_Vilela", "playsFor", "S.L._Benfica_B" ], [ "Kevin_Amuneke", "isAffiliatedTo", "S.L._Benfica" ], [ "Kevin_Amuneke", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Kevin_Amuneke", "playsFor", "S.L._Benfica_B" ], [ "Kosta_Yanev", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Kosta_Yanev", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Kosta_Yanev", "playsFor", "PFC_Cherno_More_Varna" ], [ "Kosta_Yanev", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Leandro_Pimenta", "playsFor", "S.L._Benfica" ], [ "Leandro_Pimenta", "playsFor", "S.L._Benfica_B" ], [ "Lionel_Carole", "isAffiliatedTo", "S.L._Benfica" ], [ "Lionel_Carole", "playsFor", "S.L._Benfica" ], [ "Lionel_Carole", "playsFor", "S.L._Benfica_B" ], [ "Lorenzo_Melgarejo", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Lorenzo_Melgarejo", "isAffiliatedTo", "S.L._Benfica" ], [ "Lorenzo_Melgarejo", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Lorenzo_Melgarejo", "playsFor", "S.L._Benfica" ], [ "Lorenzo_Melgarejo", "playsFor", "S.L._Benfica_B" ], [ "Luisa_de_Guzmán", "hasGender", "female" ], [ "Luisa_de_Guzmán", "playsFor", "S.L._Benfica" ], [ "Luisa_de_Guzmán", "playsFor", "S.L._Benfica_B" ], [ "Luís_Andrade", "isAffiliatedTo", "S.L._Benfica" ], [ "Luís_Andrade", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Luís_Andrade", "playsFor", "S.L._Benfica" ], [ "Luís_Andrade", "playsFor", "S.L._Benfica_B" ], [ "Luís_Carlos_Correia_Pinto", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Luís_Carlos_Correia_Pinto", "isAffiliatedTo", "S.L._Benfica" ], [ "Luís_Carlos_Correia_Pinto", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Luís_Carlos_Correia_Pinto", "playsFor", "S.L._Benfica" ], [ "Luís_Martins", "isAffiliatedTo", "S.L._Benfica" ], [ "Luís_Martins", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Luís_Martins", "playsFor", "S.L._Benfica" ], [ "Luís_Martins", "playsFor", "S.L._Benfica_B" ], [ "Luís_Zambujo", "playsFor", "S.L._Benfica" ], [ "Luís_Zambujo", "playsFor", "S.L._Benfica_B" ], [ "Lúcio_Wagner", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Lúcio_Wagner", "isAffiliatedTo", "S.L._Benfica" ], [ "Lúcio_Wagner", "playsFor", "PFC_Cherno_More_Varna" ], [ "Lúcio_Wagner", "playsFor", "S.L._Benfica" ], [ "Manuel_Curto", "isAffiliatedTo", "S.L._Benfica" ], [ "Manuel_Curto", "playsFor", "S.L._Benfica" ], [ "Manuel_Curto", "playsFor", "S.L._Benfica_B" ], [ "Manuel_José_de_Jesus", "isAffiliatedTo", "S.L._Benfica" ], [ "Manuel_José_de_Jesus", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Manuel_José_de_Jesus", "playsFor", "S.L._Benfica" ], [ "Manuel_José_de_Jesus", "playsFor", "S.L._Benfica_B" ], [ "Marco_Ferreira", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Marco_Ferreira", "isAffiliatedTo", "S.L._Benfica" ], [ "Marco_Ferreira", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Marco_Ferreira", "playsFor", "S.L._Benfica" ], [ "Marco_Paulo_Faria_Lemos", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Marco_Paulo_Faria_Lemos", "playsFor", "S.L._Benfica" ], [ "Marin_Petrov", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Marin_Petrov", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Marin_Petrov", "playsFor", "PFC_Cherno_More_Varna" ], [ "Marin_Petrov", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Michel_Souza_da_Silva", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Michel_Souza_da_Silva", "isAffiliatedTo", "S.L._Benfica" ], [ "Michel_Souza_da_Silva", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Michel_Souza_da_Silva", "playsFor", "S.L._Benfica" ], [ "Miguel_Lopes", "isAffiliatedTo", "S.L._Benfica" ], [ "Miguel_Lopes", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Miguel_Lopes", "playsFor", "S.L._Benfica_B" ], [ "Miguel_Vítor", "isAffiliatedTo", "S.L._Benfica" ], [ "Miguel_Vítor", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Miguel_Vítor", "playsFor", "S.L._Benfica" ], [ "Miguel_Vítor", "playsFor", "S.L._Benfica_B" ], [ "Nicolás_Canales", "isAffiliatedTo", "S.L._Benfica" ], [ "Nicolás_Canales", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Nicolás_Canales", "playsFor", "S.L._Benfica_B" ], [ "Nikola_Spasov", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Nikola_Spasov", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Nikola_Spasov", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Nikola_Spasov", "playsFor", "PFC_Cherno_More_Varna" ], [ "Nuno_Afonso", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Nuno_Afonso", "isAffiliatedTo", "S.L._Benfica" ], [ "Nélson_Oliveira", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Nélson_Oliveira", "isAffiliatedTo", "S.L._Benfica" ], [ "Nélson_Veríssimo", "isAffiliatedTo", "S.L._Benfica" ], [ "Nélson_Veríssimo", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Nélson_Veríssimo", "playsFor", "S.L._Benfica" ], [ "Paulo_Almeida", "isAffiliatedTo", "S.L._Benfica" ], [ "Paulo_Almeida", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Paulo_Almeida", "playsFor", "S.L._Benfica" ], [ "Paulo_Almeida", "playsFor", "S.L._Benfica_B" ], [ "Pizzi_(Portuguese_footballer)", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Pizzi_(Portuguese_footballer)", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Pizzi_(Portuguese_footballer)", "playsFor", "S.L._Benfica" ], [ "Plamen_Kolev", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Plamen_Kolev", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Plamen_Kolev", "playsFor", "PFC_Cherno_More_Varna" ], [ "Plamen_Kolev", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Radoslav_Zdravkov", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Radoslav_Zdravkov", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Radoslav_Zdravkov", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Raul_Águas", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Raul_Águas", "playsFor", "S.L._Benfica" ], [ "Ricardo_André", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Ricardo_André", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Ricardo_André", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Ricardo_André", "isAffiliatedTo", "S.L._Benfica" ], [ "Ricardo_André", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Ricardo_André", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Ricardo_André", "playsFor", "PFC_Cherno_More_Varna" ], [ "Ricardo_André", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Ricardo_André", "playsFor", "S.L._Benfica" ], [ "Ricardo_André", "playsFor", "S.L._Benfica_B" ], [ "Ricardo_Campos", "playsFor", "S.L._Benfica" ], [ "Ricardo_Campos", "playsFor", "S.L._Benfica_B" ], [ "Ricardo_Esteves", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Ricardo_Esteves", "isAffiliatedTo", "S.L._Benfica" ], [ "Ricardo_Esteves", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Ricardo_Esteves", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Ricardo_Esteves", "playsFor", "S.L._Benfica" ], [ "Ricardo_Esteves", "playsFor", "S.L._Benfica_B" ], [ "Ricardo_Janota", "playsFor", "S.L._Benfica" ], [ "Ricardo_Janota", "playsFor", "S.L._Benfica_B" ], [ "Ricardo_Nunes", "playsFor", "S.L._Benfica" ], [ "Ricardo_Nunes", "playsFor", "S.L._Benfica_B" ], [ "Roderick_Miranda", "isAffiliatedTo", "S.L._Benfica" ], [ "Roderick_Miranda", "playsFor", "S.L._Benfica" ], [ "Roderick_Miranda", "playsFor", "S.L._Benfica_B" ], [ "Rogelio_Funes_Mori", "playsFor", "S.L._Benfica" ], [ "Rogelio_Funes_Mori", "playsFor", "S.L._Benfica_B" ], [ "Rui_Fonte", "isAffiliatedTo", "S.L._Benfica" ], [ "Rui_Fonte", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Rui_Fonte", "playsFor", "S.L._Benfica_B" ], [ "Rui_Miguel_Rodrigues", "isAffiliatedTo", "F.C._Paços_de_Ferreira" ], [ "Rui_Miguel_Rodrigues", "playsFor", "F.C._Paços_de_Ferreira" ], [ "Rui_Miguel_Rodrigues", "playsFor", "S.L._Benfica" ], [ "Rui_Nereu", "isAffiliatedTo", "S.L._Benfica" ], [ "Rui_Nereu", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Rui_Nereu", "playsFor", "S.L._Benfica" ], [ "Rui_Nereu", "playsFor", "S.L._Benfica_B" ], [ "S.L._Benfica", "owns", "S.L._Benfica_B" ], [ "Sidnei_(footballer_born_1989)", "isAffiliatedTo", "S.L._Benfica" ], [ "Sidnei_(footballer_born_1989)", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Sidnei_(footballer_born_1989)", "playsFor", "S.L._Benfica" ], [ "Sidnei_(footballer_born_1989)", "playsFor", "S.L._Benfica_B" ], [ "Steven_Vitória", "playsFor", "S.L._Benfica" ], [ "Steven_Vitória", "playsFor", "S.L._Benfica_B" ], [ "Tiago_Costa", "isAffiliatedTo", "S.L._Benfica" ], [ "Tiago_Costa", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Tiago_Costa", "playsFor", "S.L._Benfica_B" ], [ "Tiago_Henrique_Damil_Gomes", "isAffiliatedTo", "S.L._Benfica" ], [ "Tiago_Henrique_Damil_Gomes", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Tiago_Henrique_Damil_Gomes", "playsFor", "S.L._Benfica" ], [ "Tiago_Henrique_Damil_Gomes", "playsFor", "S.L._Benfica_B" ], [ "Todor_Palankov", "isAffiliatedTo", "PFC_Cherno_More_Varna" ], [ "Todor_Palankov", "isAffiliatedTo", "PSFC_Chernomorets_Burgas" ], [ "Todor_Palankov", "playsFor", "PFC_Cherno_More_Varna" ], [ "Todor_Palankov", "playsFor", "PSFC_Chernomorets_Burgas" ], [ "Toy_(footballer_born_1977)", "isAffiliatedTo", "S.L._Benfica" ], [ "Toy_(footballer_born_1977)", "isAffiliatedTo", "S.L._Benfica_B" ], [ "Toy_(footballer_born_1977)", "playsFor", "S.L._Benfica" ], [ "Toy_(footballer_born_1977)", "playsFor", "S.L._Benfica_B" ], [ "Vivian_Rich", "hasGender", "female" ], [ "Đỗ_Thị_Ngân_Thương", "hasGender", "female" ], [ "Đỗ_Thị_Ngân_Thương", "playsFor", "S.L._Benfica" ], [ "Đỗ_Thị_Ngân_Thương", "playsFor", "S.L._Benfica_B" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 105637, Delhi 89823, India 25908, Samajwadi_Party 43159, South_Haven,_Michigan 29157, United_States src, edge_attr, dst 105637, isLocatedIn, 89823 89823, dealsWith, 29157 89823, hasCapital, 105637 25908, isLocatedIn, 105637 43159, isLocatedIn, 29157 Question: For what reason are Samajwadi_Party and South_Haven,_Michigan associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Samajwadi_Party", "South_Haven,_Michigan" ], "valid_edges": [ [ "Delhi", "isLocatedIn", "India" ], [ "India", "dealsWith", "United_States" ], [ "India", "hasCapital", "Delhi" ], [ "Samajwadi_Party", "isLocatedIn", "Delhi" ], [ "South_Haven,_Michigan", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 89823, India 119980, Mayilsamy 115622, Nenjil_Jil_Jil 84719, Shel_Silverstein 29157, United_States 66263, Whistle_(2003_film) src, edge_attr, dst 89823, dealsWith, 29157 119980, actedIn, 115622 119980, actedIn, 66263 115622, isLocatedIn, 89823 84719, isCitizenOf, 29157 66263, isLocatedIn, 89823 Question: In what context are Mayilsamy and Shel_Silverstein connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Mayilsamy", "Shel_Silverstein" ], "valid_edges": [ [ "India", "dealsWith", "United_States" ], [ "Mayilsamy", "actedIn", "Nenjil_Jil_Jil" ], [ "Mayilsamy", "actedIn", "Whistle_(2003_film)" ], [ "Nenjil_Jil_Jil", "isLocatedIn", "India" ], [ "Shel_Silverstein", "isCitizenOf", "United_States" ], [ "Whistle_(2003_film)", "isLocatedIn", "India" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 79925, Appalachian_Mountains 96245, Caledonia_County,_Vermont 32169, Pennsylvania 15, Saint_Lawrence_River 39159, Sullivan_County,_Pennsylvania 55819, U.S._Route_6 6847, Vermont src, edge_attr, dst 79925, isLocatedIn, 32169 79925, isLocatedIn, 6847 96245, isLocatedIn, 6847 15, isLocatedIn, 32169 15, isLocatedIn, 6847 39159, isLocatedIn, 32169 55819, isLocatedIn, 32169 55819, isLocatedIn, 6847 Question: For what reason are Caledonia_County,_Vermont and Sullivan_County,_Pennsylvania associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Caledonia_County,_Vermont", "Sullivan_County,_Pennsylvania" ], "valid_edges": [ [ "Appalachian_Mountains", "isLocatedIn", "Pennsylvania" ], [ "Appalachian_Mountains", "isLocatedIn", "Vermont" ], [ "Caledonia_County,_Vermont", "isLocatedIn", "Vermont" ], [ "Saint_Lawrence_River", "isLocatedIn", "Pennsylvania" ], [ "Saint_Lawrence_River", "isLocatedIn", "Vermont" ], [ "Sullivan_County,_Pennsylvania", "isLocatedIn", "Pennsylvania" ], [ "U.S._Route_6", "isLocatedIn", "Pennsylvania" ], [ "U.S._Route_6", "isLocatedIn", "Vermont" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 74542, Aleksander_Fredro 25702, Aleksander_Jabłoński 53208, Aleksander_Kwaśniewski 73600, Aleksander_Prystor 28459, Anatol_Stern 71189, Andrzej_Mostowski 42478, Antoni_Malczewski 121651, Antoni_Zygmund 116881, Artur_Ekert 38872, Benoit_Mandelbrot 91074, Boguszów-Gorce 96826, Bolesław_Bierut 89853, Bolesław_Prus 110673, Bolesław_Wieniawa-Długoszowski 101698, Bronisław_Komorowski 116575, Cezary_Trybański 7027, Donald_Tusk 68928, Edward_Gierek 48593, Franciszek_Ksawery_Drucki-Lubecki 108843, Grzegorz_Schetyna 19075, Henryk_Jabłoński 97014, Hugo_Steinhaus 93710, Ignacy_Mościcki 49225, Ivan_Śleszyński 631, Jacek_Kuroń 3182, Jan_Mikulicz-Radecki 76602, Janusz_Jędrzejewicz 59494, Jarosław_Kaczyński 100894, Jerzy_Buzek 86342, John_Maurice_Hauke 87368, Josef_Herzig 88323, Joseph_Rotblat 81984, Józef_Cyrankiewicz 44134, Józef_Gosławski_(sculptor) 62427, Józef_Haller 42501, Józef_Piłsudski 89132, Kazimierz_Marcinkiewicz 110555, Kevin_Hartman 34855, Krzysztof_Matyjaszewski 6355, Lech_Kaczyński 86182, Lech_Wałęsa 119655, Leonid_Hurwicz 21054, Leopold_Infeld 373, Leszek_Miller 111739, Lucjan_Żeligowski 34152, Marek_Belka 42064, Marian_Spychalski 112347, Michał_Waszyński 69710, Mieczysław_Rakowski 108651, Oskar_R._Lange 67382, Paul_Erdős 6049, Piotr_Jaroszewicz 59225, Poland 22754, Radosław_Sikorski 103797, Roald_Hoffmann 65600, Ryszard_Syski 62730, Samuel_Karlin 57573, Stanislaw_Ulam 101281, Stanisław_Lem 1606, Stanisław_Mackiewicz 7676, Stanisław_Ostrowski 54829, Stanisław_Wojciechowski 107152, Stefan_Mazurkiewicz 38410, Tadeusz_Mazowiecki 22258, Waldemar_Pawlak 30259, Witold_Gombrowicz 120174, Wojciech_Jaruzelski 19790, Władysław_Gomułka 8915, Władysław_Sikorski 105391, Włodzimierz_Cimoszewicz 120252, Xawery_Dunikowski 25562, Yaniv_Green 21301, Zbigniew_Herbert 79692, Zbigniew_Messner 118104, male src, edge_attr, dst 74542, hasGender, 118104 74542, isCitizenOf, 59225 25702, hasGender, 118104 25702, isCitizenOf, 59225 25702, livesIn, 59225 53208, hasGender, 118104 53208, isPoliticianOf, 59225 73600, hasGender, 118104 73600, isPoliticianOf, 59225 28459, hasGender, 118104 28459, isCitizenOf, 59225 71189, hasGender, 118104 71189, isCitizenOf, 59225 42478, hasGender, 118104 42478, isCitizenOf, 59225 121651, hasGender, 118104 121651, isCitizenOf, 59225 116881, hasGender, 118104 116881, isCitizenOf, 59225 38872, hasGender, 118104 38872, livesIn, 59225 91074, isLocatedIn, 59225 96826, hasGender, 118104 96826, isPoliticianOf, 59225 89853, hasGender, 118104 89853, isCitizenOf, 59225 110673, hasGender, 118104 110673, isCitizenOf, 59225 110673, isPoliticianOf, 59225 101698, hasGender, 118104 101698, isLeaderOf, 59225 101698, isPoliticianOf, 59225 116575, hasGender, 118104 116575, isCitizenOf, 59225 7027, hasGender, 118104 7027, isLeaderOf, 59225 7027, isPoliticianOf, 59225 68928, hasGender, 118104 68928, isCitizenOf, 59225 48593, hasGender, 118104 48593, isPoliticianOf, 59225 108843, hasGender, 118104 108843, isPoliticianOf, 59225 19075, hasGender, 118104 19075, isCitizenOf, 59225 19075, isPoliticianOf, 59225 97014, hasGender, 118104 97014, isCitizenOf, 59225 97014, livesIn, 59225 93710, hasGender, 118104 93710, isPoliticianOf, 59225 49225, hasGender, 118104 49225, isCitizenOf, 59225 631, hasGender, 118104 631, isPoliticianOf, 59225 3182, hasGender, 118104 3182, isCitizenOf, 59225 76602, hasGender, 118104 76602, isPoliticianOf, 59225 59494, hasGender, 118104 59494, isPoliticianOf, 59225 100894, hasGender, 118104 100894, isPoliticianOf, 59225 86342, hasGender, 118104 86342, isPoliticianOf, 59225 87368, hasGender, 118104 87368, isCitizenOf, 59225 88323, hasGender, 118104 88323, isCitizenOf, 59225 81984, hasGender, 118104 81984, isPoliticianOf, 59225 44134, hasGender, 118104 44134, isCitizenOf, 59225 62427, hasGender, 118104 62427, isPoliticianOf, 59225 42501, hasGender, 118104 42501, isPoliticianOf, 59225 89132, hasGender, 118104 89132, isPoliticianOf, 59225 110555, hasGender, 118104 34855, hasGender, 118104 34855, isCitizenOf, 59225 6355, hasGender, 118104 6355, isPoliticianOf, 59225 86182, hasGender, 118104 86182, isPoliticianOf, 59225 119655, hasGender, 118104 119655, isCitizenOf, 59225 21054, hasGender, 118104 21054, isCitizenOf, 59225 21054, livesIn, 59225 373, hasGender, 118104 373, isPoliticianOf, 59225 111739, hasGender, 118104 111739, isCitizenOf, 59225 34152, hasGender, 118104 34152, isPoliticianOf, 59225 42064, hasGender, 118104 42064, isPoliticianOf, 59225 112347, hasGender, 118104 112347, isCitizenOf, 59225 69710, hasGender, 118104 69710, isPoliticianOf, 59225 108651, hasGender, 118104 108651, isCitizenOf, 59225 67382, hasGender, 118104 67382, isCitizenOf, 59225 6049, hasGender, 118104 6049, isPoliticianOf, 59225 22754, hasGender, 118104 22754, isPoliticianOf, 59225 103797, hasGender, 118104 103797, isCitizenOf, 59225 65600, hasGender, 118104 65600, livesIn, 59225 62730, hasGender, 118104 62730, isCitizenOf, 59225 57573, hasGender, 118104 57573, isCitizenOf, 59225 101281, hasGender, 118104 101281, isCitizenOf, 59225 1606, hasGender, 118104 1606, isPoliticianOf, 59225 7676, hasGender, 118104 7676, isCitizenOf, 59225 7676, isPoliticianOf, 59225 54829, hasGender, 118104 54829, isPoliticianOf, 59225 107152, hasGender, 118104 107152, isCitizenOf, 59225 38410, hasGender, 118104 38410, isPoliticianOf, 59225 22258, hasGender, 118104 22258, isPoliticianOf, 59225 30259, hasGender, 118104 30259, isCitizenOf, 59225 120174, hasGender, 118104 120174, isPoliticianOf, 59225 19790, hasGender, 118104 19790, isCitizenOf, 59225 19790, isPoliticianOf, 59225 8915, hasGender, 118104 8915, isPoliticianOf, 59225 105391, hasGender, 118104 105391, isPoliticianOf, 59225 120252, hasGender, 118104 120252, isCitizenOf, 59225 25562, hasGender, 118104 25562, isCitizenOf, 59225 21301, hasGender, 118104 21301, isCitizenOf, 59225 79692, hasGender, 118104 79692, isPoliticianOf, 59225 Question: For what reason are Boguszów-Gorce and Kevin_Hartman associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Boguszów-Gorce", "Kevin_Hartman" ], "valid_edges": [ [ "Aleksander_Fredro", "hasGender", "male" ], [ "Aleksander_Fredro", "isCitizenOf", "Poland" ], [ "Aleksander_Jabłoński", "hasGender", "male" ], [ "Aleksander_Jabłoński", "isCitizenOf", "Poland" ], [ "Aleksander_Jabłoński", "livesIn", "Poland" ], [ "Aleksander_Kwaśniewski", "hasGender", "male" ], [ "Aleksander_Kwaśniewski", "isPoliticianOf", "Poland" ], [ "Aleksander_Prystor", "hasGender", "male" ], [ "Aleksander_Prystor", "isPoliticianOf", "Poland" ], [ "Anatol_Stern", "hasGender", "male" ], [ "Anatol_Stern", "isCitizenOf", "Poland" ], [ "Andrzej_Mostowski", "hasGender", "male" ], [ "Andrzej_Mostowski", "isCitizenOf", "Poland" ], [ "Antoni_Malczewski", "hasGender", "male" ], [ "Antoni_Malczewski", "isCitizenOf", "Poland" ], [ "Antoni_Zygmund", "hasGender", "male" ], [ "Antoni_Zygmund", "isCitizenOf", "Poland" ], [ "Artur_Ekert", "hasGender", "male" ], [ "Artur_Ekert", "isCitizenOf", "Poland" ], [ "Benoit_Mandelbrot", "hasGender", "male" ], [ "Benoit_Mandelbrot", "livesIn", "Poland" ], [ "Boguszów-Gorce", "isLocatedIn", "Poland" ], [ "Bolesław_Bierut", "hasGender", "male" ], [ "Bolesław_Bierut", "isPoliticianOf", "Poland" ], [ "Bolesław_Prus", "hasGender", "male" ], [ "Bolesław_Prus", "isCitizenOf", "Poland" ], [ "Bolesław_Wieniawa-Długoszowski", "hasGender", "male" ], [ "Bolesław_Wieniawa-Długoszowski", "isCitizenOf", "Poland" ], [ "Bolesław_Wieniawa-Długoszowski", "isPoliticianOf", "Poland" ], [ "Bronisław_Komorowski", "hasGender", "male" ], [ "Bronisław_Komorowski", "isLeaderOf", "Poland" ], [ "Bronisław_Komorowski", "isPoliticianOf", "Poland" ], [ "Cezary_Trybański", "hasGender", "male" ], [ "Cezary_Trybański", "isCitizenOf", "Poland" ], [ "Donald_Tusk", "hasGender", "male" ], [ "Donald_Tusk", "isLeaderOf", "Poland" ], [ "Donald_Tusk", "isPoliticianOf", "Poland" ], [ "Edward_Gierek", "hasGender", "male" ], [ "Edward_Gierek", "isCitizenOf", "Poland" ], [ "Franciszek_Ksawery_Drucki-Lubecki", "hasGender", "male" ], [ "Franciszek_Ksawery_Drucki-Lubecki", "isPoliticianOf", "Poland" ], [ "Grzegorz_Schetyna", "hasGender", "male" ], [ "Grzegorz_Schetyna", "isPoliticianOf", "Poland" ], [ "Henryk_Jabłoński", "hasGender", "male" ], [ "Henryk_Jabłoński", "isCitizenOf", "Poland" ], [ "Henryk_Jabłoński", "isPoliticianOf", "Poland" ], [ "Hugo_Steinhaus", "hasGender", "male" ], [ "Hugo_Steinhaus", "isCitizenOf", "Poland" ], [ "Hugo_Steinhaus", "livesIn", "Poland" ], [ "Ignacy_Mościcki", "hasGender", "male" ], [ "Ignacy_Mościcki", "isPoliticianOf", "Poland" ], [ "Ivan_Śleszyński", "hasGender", "male" ], [ "Ivan_Śleszyński", "isCitizenOf", "Poland" ], [ "Jacek_Kuroń", "hasGender", "male" ], [ "Jacek_Kuroń", "isPoliticianOf", "Poland" ], [ "Jan_Mikulicz-Radecki", "hasGender", "male" ], [ "Jan_Mikulicz-Radecki", "isCitizenOf", "Poland" ], [ "Janusz_Jędrzejewicz", "hasGender", "male" ], [ "Janusz_Jędrzejewicz", "isPoliticianOf", "Poland" ], [ "Jarosław_Kaczyński", "hasGender", "male" ], [ "Jarosław_Kaczyński", "isPoliticianOf", "Poland" ], [ "Jerzy_Buzek", "hasGender", "male" ], [ "Jerzy_Buzek", "isPoliticianOf", "Poland" ], [ "John_Maurice_Hauke", "hasGender", "male" ], [ "John_Maurice_Hauke", "isPoliticianOf", "Poland" ], [ "Josef_Herzig", "hasGender", "male" ], [ "Josef_Herzig", "isCitizenOf", "Poland" ], [ "Joseph_Rotblat", "hasGender", "male" ], [ "Joseph_Rotblat", "isCitizenOf", "Poland" ], [ "Józef_Cyrankiewicz", "hasGender", "male" ], [ "Józef_Cyrankiewicz", "isPoliticianOf", "Poland" ], [ "Józef_Gosławski_(sculptor)", "hasGender", "male" ], [ "Józef_Gosławski_(sculptor)", "isCitizenOf", "Poland" ], [ "Józef_Haller", "hasGender", "male" ], [ "Józef_Haller", "isPoliticianOf", "Poland" ], [ "Józef_Piłsudski", "hasGender", "male" ], [ "Józef_Piłsudski", "isPoliticianOf", "Poland" ], [ "Kazimierz_Marcinkiewicz", "hasGender", "male" ], [ "Kazimierz_Marcinkiewicz", "isPoliticianOf", "Poland" ], [ "Kevin_Hartman", "hasGender", "male" ], [ "Krzysztof_Matyjaszewski", "hasGender", "male" ], [ "Krzysztof_Matyjaszewski", "isCitizenOf", "Poland" ], [ "Lech_Kaczyński", "hasGender", "male" ], [ "Lech_Kaczyński", "isPoliticianOf", "Poland" ], [ "Lech_Wałęsa", "hasGender", "male" ], [ "Lech_Wałęsa", "isPoliticianOf", "Poland" ], [ "Leonid_Hurwicz", "hasGender", "male" ], [ "Leonid_Hurwicz", "isCitizenOf", "Poland" ], [ "Leopold_Infeld", "hasGender", "male" ], [ "Leopold_Infeld", "isCitizenOf", "Poland" ], [ "Leopold_Infeld", "livesIn", "Poland" ], [ "Leszek_Miller", "hasGender", "male" ], [ "Leszek_Miller", "isPoliticianOf", "Poland" ], [ "Lucjan_Żeligowski", "hasGender", "male" ], [ "Lucjan_Żeligowski", "isCitizenOf", "Poland" ], [ "Marek_Belka", "hasGender", "male" ], [ "Marek_Belka", "isPoliticianOf", "Poland" ], [ "Marian_Spychalski", "hasGender", "male" ], [ "Marian_Spychalski", "isPoliticianOf", "Poland" ], [ "Michał_Waszyński", "hasGender", "male" ], [ "Michał_Waszyński", "isCitizenOf", "Poland" ], [ "Mieczysław_Rakowski", "hasGender", "male" ], [ "Mieczysław_Rakowski", "isPoliticianOf", "Poland" ], [ "Oskar_R._Lange", "hasGender", "male" ], [ "Oskar_R._Lange", "isCitizenOf", "Poland" ], [ "Paul_Erdős", "hasGender", "male" ], [ "Paul_Erdős", "isCitizenOf", "Poland" ], [ "Piotr_Jaroszewicz", "hasGender", "male" ], [ "Piotr_Jaroszewicz", "isPoliticianOf", "Poland" ], [ "Radosław_Sikorski", "hasGender", "male" ], [ "Radosław_Sikorski", "isPoliticianOf", "Poland" ], [ "Roald_Hoffmann", "hasGender", "male" ], [ "Roald_Hoffmann", "isCitizenOf", "Poland" ], [ "Ryszard_Syski", "hasGender", "male" ], [ "Ryszard_Syski", "livesIn", "Poland" ], [ "Samuel_Karlin", "hasGender", "male" ], [ "Samuel_Karlin", "isCitizenOf", "Poland" ], [ "Stanislaw_Ulam", "hasGender", "male" ], [ "Stanislaw_Ulam", "isCitizenOf", "Poland" ], [ "Stanisław_Lem", "hasGender", "male" ], [ "Stanisław_Lem", "isCitizenOf", "Poland" ], [ "Stanisław_Mackiewicz", "hasGender", "male" ], [ "Stanisław_Mackiewicz", "isPoliticianOf", "Poland" ], [ "Stanisław_Ostrowski", "hasGender", "male" ], [ "Stanisław_Ostrowski", "isCitizenOf", "Poland" ], [ "Stanisław_Ostrowski", "isPoliticianOf", "Poland" ], [ "Stanisław_Wojciechowski", "hasGender", "male" ], [ "Stanisław_Wojciechowski", "isPoliticianOf", "Poland" ], [ "Stefan_Mazurkiewicz", "hasGender", "male" ], [ "Stefan_Mazurkiewicz", "isCitizenOf", "Poland" ], [ "Tadeusz_Mazowiecki", "hasGender", "male" ], [ "Tadeusz_Mazowiecki", "isPoliticianOf", "Poland" ], [ "Waldemar_Pawlak", "hasGender", "male" ], [ "Waldemar_Pawlak", "isPoliticianOf", "Poland" ], [ "Witold_Gombrowicz", "hasGender", "male" ], [ "Witold_Gombrowicz", "isCitizenOf", "Poland" ], [ "Wojciech_Jaruzelski", "hasGender", "male" ], [ "Wojciech_Jaruzelski", "isPoliticianOf", "Poland" ], [ "Władysław_Gomułka", "hasGender", "male" ], [ "Władysław_Gomułka", "isCitizenOf", "Poland" ], [ "Władysław_Gomułka", "isPoliticianOf", "Poland" ], [ "Władysław_Sikorski", "hasGender", "male" ], [ "Władysław_Sikorski", "isPoliticianOf", "Poland" ], [ "Włodzimierz_Cimoszewicz", "hasGender", "male" ], [ "Włodzimierz_Cimoszewicz", "isPoliticianOf", "Poland" ], [ "Xawery_Dunikowski", "hasGender", "male" ], [ "Xawery_Dunikowski", "isCitizenOf", "Poland" ], [ "Yaniv_Green", "hasGender", "male" ], [ "Yaniv_Green", "isCitizenOf", "Poland" ], [ "Zbigniew_Herbert", "hasGender", "male" ], [ "Zbigniew_Herbert", "isCitizenOf", "Poland" ], [ "Zbigniew_Messner", "hasGender", "male" ], [ "Zbigniew_Messner", "isPoliticianOf", "Poland" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 114074, Adrian_Slywotzky 57902, Alan_Rothenberg 24464, Amorn_Thammanarm 90293, Anon_Sangsanoi 25742, Anusorn_Srichaluang 2225, Apichet_Puttan 34174, BEC_Tero_Sasana_F.C. 106710, Bangkok_Bank_F.C. 12158, Datsakorn_Thonglao 7435, Ekaphan_Inthasen 46720, Greater_St._Louis 50647, Hatthaporn_Suwan 14827, Jatupong_Thongsukh 16791, Jean-Baptiste_Akassou 55787, Jetsada_Jitsawad 84387, Kawin_Thamsatchanan 8562, Kiatisuk_Senamuang 47153, Kittipol_Paphunga 71665, Ladue,_Missouri 113458, Manuel_Lisa 36809, McDonnell_Douglas 68618, Mika_Chunuonsee 46012, Missouri 122033, Muangthong_United_F.C. 8532, Nakarin_Fuplook 28345, Narongchai_Vachiraban 21129, Naruphol_Ar-Romsawa 11504, Natipong_Sritong-In 27704, Nattaporn_Phanrit 79307, Nobuyuki_Zaizen 105090, Paitoon_Nontadee 67382, Paul_Erdős 82427, Peeratat_Phoruendee 30604, Pichit_Ketsro 63407, Pipat_Thonkanya 43085, Piyachart_Tamaphan 9900, Raj_Pracha_Thailand_F.C. 14054, Rangsan_Viwatchaichok 56553, Ronnachai_Rangsiyo 86815, Saint_Louis_Athletica 17872, Saint_Louis_University 62189, Saint_Louis_University_School_of_Law 62117, Salahudin_Arware 81390, Samuel_Cunningham_(footballer) 58225, Scottrade_Center 30791, Sivaruck_Tedsungnoen 21453, St._Louis 79815, St._Louis_Community_College 45507, Teerasil_Dangda 9392, Teeratep_Winothai 26855, Thanongsak_Panpipat 119172, Thritthi_Nonsrichai 29157, United_States 26239, Webster_Groves,_Missouri 15846, Weera_Koedpudsa 91770, Wisarut_Pannasri 119105, Wuttichai_Tathong src, edge_attr, dst 114074, playsFor, 34174 114074, playsFor, 106710 57902, isCitizenOf, 29157 57902, playsFor, 34174 57902, playsFor, 122033 57902, playsFor, 9900 24464, isAffiliatedTo, 34174 24464, isAffiliatedTo, 122033 24464, playsFor, 34174 24464, playsFor, 122033 90293, isAffiliatedTo, 34174 90293, isAffiliatedTo, 122033 90293, playsFor, 34174 90293, playsFor, 122033 25742, isAffiliatedTo, 106710 25742, isAffiliatedTo, 122033 25742, playsFor, 106710 25742, playsFor, 122033 2225, isAffiliatedTo, 34174 2225, isAffiliatedTo, 9900 2225, playsFor, 34174 2225, playsFor, 9900 12158, isAffiliatedTo, 34174 12158, isAffiliatedTo, 122033 12158, isAffiliatedTo, 9900 12158, playsFor, 34174 12158, playsFor, 122033 12158, playsFor, 9900 7435, isAffiliatedTo, 34174 7435, isAffiliatedTo, 106710 7435, playsFor, 34174 7435, playsFor, 106710 46720, isLocatedIn, 46012 46720, isLocatedIn, 29157 50647, isAffiliatedTo, 34174 50647, isAffiliatedTo, 122033 50647, playsFor, 34174 50647, playsFor, 122033 14827, isAffiliatedTo, 34174 14827, isAffiliatedTo, 122033 14827, playsFor, 34174 14827, playsFor, 122033 16791, isAffiliatedTo, 34174 16791, isAffiliatedTo, 122033 16791, playsFor, 34174 16791, playsFor, 122033 55787, isAffiliatedTo, 34174 55787, isAffiliatedTo, 122033 55787, playsFor, 34174 55787, playsFor, 122033 84387, isAffiliatedTo, 122033 84387, isAffiliatedTo, 9900 84387, playsFor, 122033 84387, playsFor, 9900 8562, isAffiliatedTo, 34174 8562, isAffiliatedTo, 9900 8562, playsFor, 9900 47153, isAffiliatedTo, 34174 47153, isAffiliatedTo, 122033 47153, playsFor, 34174 47153, playsFor, 122033 71665, isLocatedIn, 46012 71665, isLocatedIn, 29157 113458, isCitizenOf, 29157 113458, playsFor, 34174 36809, isLocatedIn, 46012 36809, isLocatedIn, 29157 68618, isAffiliatedTo, 34174 68618, playsFor, 34174 68618, playsFor, 122033 46012, isLocatedIn, 29157 8532, isAffiliatedTo, 34174 8532, isAffiliatedTo, 106710 8532, playsFor, 34174 8532, playsFor, 106710 28345, isAffiliatedTo, 34174 28345, isAffiliatedTo, 122033 28345, playsFor, 34174 28345, playsFor, 122033 21129, isAffiliatedTo, 34174 21129, isAffiliatedTo, 122033 21129, playsFor, 34174 21129, playsFor, 122033 11504, isAffiliatedTo, 106710 11504, isAffiliatedTo, 9900 11504, playsFor, 106710 11504, playsFor, 9900 27704, isAffiliatedTo, 34174 27704, isAffiliatedTo, 122033 27704, playsFor, 34174 27704, playsFor, 122033 79307, isAffiliatedTo, 34174 79307, isAffiliatedTo, 122033 79307, playsFor, 34174 79307, playsFor, 122033 105090, isAffiliatedTo, 34174 105090, isAffiliatedTo, 122033 105090, playsFor, 34174 105090, playsFor, 122033 67382, livesIn, 29157 67382, playsFor, 106710 82427, isAffiliatedTo, 34174 82427, isAffiliatedTo, 106710 82427, playsFor, 34174 82427, playsFor, 106710 30604, isAffiliatedTo, 106710 30604, isAffiliatedTo, 9900 30604, playsFor, 106710 30604, playsFor, 9900 63407, isAffiliatedTo, 34174 63407, isAffiliatedTo, 9900 63407, playsFor, 34174 63407, playsFor, 9900 43085, isAffiliatedTo, 34174 43085, isAffiliatedTo, 122033 43085, playsFor, 34174 43085, playsFor, 122033 14054, isAffiliatedTo, 34174 14054, isAffiliatedTo, 106710 14054, playsFor, 34174 14054, playsFor, 106710 56553, isAffiliatedTo, 34174 56553, isAffiliatedTo, 122033 56553, playsFor, 34174 56553, playsFor, 122033 86815, isLocatedIn, 46012 86815, isLocatedIn, 29157 17872, isLocatedIn, 46012 17872, isLocatedIn, 29157 62189, isLocatedIn, 46012 62189, isLocatedIn, 29157 62117, isAffiliatedTo, 106710 62117, isAffiliatedTo, 122033 62117, playsFor, 106710 62117, playsFor, 122033 81390, isAffiliatedTo, 34174 81390, isAffiliatedTo, 122033 81390, isAffiliatedTo, 9900 81390, playsFor, 34174 81390, playsFor, 122033 81390, playsFor, 9900 58225, isLocatedIn, 46012 58225, isLocatedIn, 29157 30791, isAffiliatedTo, 34174 30791, isAffiliatedTo, 106710 30791, playsFor, 34174 30791, playsFor, 106710 21453, isLocatedIn, 46012 21453, isLocatedIn, 29157 79815, isLocatedIn, 46012 79815, isLocatedIn, 29157 45507, isAffiliatedTo, 122033 45507, isAffiliatedTo, 9900 45507, playsFor, 122033 45507, playsFor, 9900 9392, isAffiliatedTo, 34174 9392, isAffiliatedTo, 122033 9392, playsFor, 34174 9392, playsFor, 122033 26855, isAffiliatedTo, 34174 26855, isAffiliatedTo, 106710 26855, isAffiliatedTo, 122033 26855, playsFor, 34174 26855, playsFor, 106710 26855, playsFor, 122033 119172, isAffiliatedTo, 34174 119172, isAffiliatedTo, 122033 119172, playsFor, 34174 119172, playsFor, 122033 26239, isLocatedIn, 46012 26239, isLocatedIn, 29157 15846, isAffiliatedTo, 106710 15846, isAffiliatedTo, 122033 15846, playsFor, 106710 15846, playsFor, 122033 91770, isAffiliatedTo, 34174 91770, isAffiliatedTo, 106710 91770, isAffiliatedTo, 122033 91770, isAffiliatedTo, 9900 91770, playsFor, 34174 91770, playsFor, 106710 91770, playsFor, 122033 91770, playsFor, 9900 119105, isAffiliatedTo, 34174 119105, isAffiliatedTo, 122033 119105, playsFor, 34174 119105, playsFor, 122033 Question: For what reason are Webster_Groves,_Missouri and Wisarut_Pannasri associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Webster_Groves,_Missouri", "Wisarut_Pannasri" ], "valid_edges": [ [ "Adrian_Slywotzky", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Adrian_Slywotzky", "playsFor", "Bangkok_Bank_F.C." ], [ "Alan_Rothenberg", "isCitizenOf", "United_States" ], [ "Alan_Rothenberg", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Alan_Rothenberg", "playsFor", "Muangthong_United_F.C." ], [ "Alan_Rothenberg", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Amorn_Thammanarm", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Amorn_Thammanarm", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Amorn_Thammanarm", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Amorn_Thammanarm", "playsFor", "Muangthong_United_F.C." ], [ "Anon_Sangsanoi", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Anon_Sangsanoi", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Anon_Sangsanoi", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Anon_Sangsanoi", "playsFor", "Muangthong_United_F.C." ], [ "Anusorn_Srichaluang", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Anusorn_Srichaluang", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Anusorn_Srichaluang", "playsFor", "Bangkok_Bank_F.C." ], [ "Anusorn_Srichaluang", "playsFor", "Muangthong_United_F.C." ], [ "Apichet_Puttan", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Apichet_Puttan", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Apichet_Puttan", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Apichet_Puttan", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Datsakorn_Thonglao", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Datsakorn_Thonglao", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Datsakorn_Thonglao", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Datsakorn_Thonglao", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Datsakorn_Thonglao", "playsFor", "Muangthong_United_F.C." ], [ "Datsakorn_Thonglao", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Ekaphan_Inthasen", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Ekaphan_Inthasen", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Ekaphan_Inthasen", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Ekaphan_Inthasen", "playsFor", "Bangkok_Bank_F.C." ], [ "Greater_St._Louis", "isLocatedIn", "Missouri" ], [ "Greater_St._Louis", "isLocatedIn", "United_States" ], [ "Hatthaporn_Suwan", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Hatthaporn_Suwan", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Hatthaporn_Suwan", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Hatthaporn_Suwan", "playsFor", "Muangthong_United_F.C." ], [ "Jatupong_Thongsukh", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Jatupong_Thongsukh", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Jatupong_Thongsukh", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Jatupong_Thongsukh", "playsFor", "Muangthong_United_F.C." ], [ "Jean-Baptiste_Akassou", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Jean-Baptiste_Akassou", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Jean-Baptiste_Akassou", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Jean-Baptiste_Akassou", "playsFor", "Muangthong_United_F.C." ], [ "Jetsada_Jitsawad", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Jetsada_Jitsawad", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Jetsada_Jitsawad", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Jetsada_Jitsawad", "playsFor", "Muangthong_United_F.C." ], [ "Kawin_Thamsatchanan", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Kawin_Thamsatchanan", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Kawin_Thamsatchanan", "playsFor", "Muangthong_United_F.C." ], [ "Kawin_Thamsatchanan", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Kiatisuk_Senamuang", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Kiatisuk_Senamuang", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Kiatisuk_Senamuang", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Kittipol_Paphunga", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Kittipol_Paphunga", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Kittipol_Paphunga", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Kittipol_Paphunga", "playsFor", "Muangthong_United_F.C." ], [ "Ladue,_Missouri", "isLocatedIn", "Missouri" ], [ "Ladue,_Missouri", "isLocatedIn", "United_States" ], [ "Manuel_Lisa", "isCitizenOf", "United_States" ], [ "Manuel_Lisa", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "McDonnell_Douglas", "isLocatedIn", "Missouri" ], [ "McDonnell_Douglas", "isLocatedIn", "United_States" ], [ "Mika_Chunuonsee", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Mika_Chunuonsee", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Mika_Chunuonsee", "playsFor", "Muangthong_United_F.C." ], [ "Missouri", "isLocatedIn", "United_States" ], [ "Nakarin_Fuplook", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Nakarin_Fuplook", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Nakarin_Fuplook", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Nakarin_Fuplook", "playsFor", "Bangkok_Bank_F.C." ], [ "Narongchai_Vachiraban", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Narongchai_Vachiraban", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Narongchai_Vachiraban", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Narongchai_Vachiraban", "playsFor", "Muangthong_United_F.C." ], [ "Naruphol_Ar-Romsawa", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Naruphol_Ar-Romsawa", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Naruphol_Ar-Romsawa", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Naruphol_Ar-Romsawa", "playsFor", "Muangthong_United_F.C." ], [ "Natipong_Sritong-In", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Natipong_Sritong-In", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Natipong_Sritong-In", "playsFor", "Bangkok_Bank_F.C." ], [ "Natipong_Sritong-In", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Nattaporn_Phanrit", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Nattaporn_Phanrit", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Nattaporn_Phanrit", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Nattaporn_Phanrit", "playsFor", "Muangthong_United_F.C." ], [ "Nobuyuki_Zaizen", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Nobuyuki_Zaizen", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Nobuyuki_Zaizen", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Nobuyuki_Zaizen", "playsFor", "Muangthong_United_F.C." ], [ "Paitoon_Nontadee", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Paitoon_Nontadee", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Paitoon_Nontadee", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Paitoon_Nontadee", "playsFor", "Muangthong_United_F.C." ], [ "Paul_Erdős", "livesIn", "United_States" ], [ "Paul_Erdős", "playsFor", "Bangkok_Bank_F.C." ], [ "Peeratat_Phoruendee", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Peeratat_Phoruendee", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Peeratat_Phoruendee", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Peeratat_Phoruendee", "playsFor", "Bangkok_Bank_F.C." ], [ "Pichit_Ketsro", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Pichit_Ketsro", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Pichit_Ketsro", "playsFor", "Bangkok_Bank_F.C." ], [ "Pichit_Ketsro", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Pipat_Thonkanya", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Pipat_Thonkanya", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Pipat_Thonkanya", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Pipat_Thonkanya", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Piyachart_Tamaphan", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Piyachart_Tamaphan", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Piyachart_Tamaphan", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Piyachart_Tamaphan", "playsFor", "Muangthong_United_F.C." ], [ "Rangsan_Viwatchaichok", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Rangsan_Viwatchaichok", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Rangsan_Viwatchaichok", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Rangsan_Viwatchaichok", "playsFor", "Bangkok_Bank_F.C." ], [ "Ronnachai_Rangsiyo", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Ronnachai_Rangsiyo", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Ronnachai_Rangsiyo", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Ronnachai_Rangsiyo", "playsFor", "Muangthong_United_F.C." ], [ "Saint_Louis_Athletica", "isLocatedIn", "Missouri" ], [ "Saint_Louis_Athletica", "isLocatedIn", "United_States" ], [ "Saint_Louis_University", "isLocatedIn", "Missouri" ], [ "Saint_Louis_University", "isLocatedIn", "United_States" ], [ "Saint_Louis_University_School_of_Law", "isLocatedIn", "Missouri" ], [ "Saint_Louis_University_School_of_Law", "isLocatedIn", "United_States" ], [ "Salahudin_Arware", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Salahudin_Arware", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Salahudin_Arware", "playsFor", "Bangkok_Bank_F.C." ], [ "Salahudin_Arware", "playsFor", "Muangthong_United_F.C." ], [ "Samuel_Cunningham_(footballer)", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Samuel_Cunningham_(footballer)", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Samuel_Cunningham_(footballer)", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Samuel_Cunningham_(footballer)", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Samuel_Cunningham_(footballer)", "playsFor", "Muangthong_United_F.C." ], [ "Samuel_Cunningham_(footballer)", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Scottrade_Center", "isLocatedIn", "Missouri" ], [ "Scottrade_Center", "isLocatedIn", "United_States" ], [ "Sivaruck_Tedsungnoen", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Sivaruck_Tedsungnoen", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Sivaruck_Tedsungnoen", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Sivaruck_Tedsungnoen", "playsFor", "Bangkok_Bank_F.C." ], [ "St._Louis", "isLocatedIn", "Missouri" ], [ "St._Louis", "isLocatedIn", "United_States" ], [ "St._Louis_Community_College", "isLocatedIn", "Missouri" ], [ "St._Louis_Community_College", "isLocatedIn", "United_States" ], [ "Teerasil_Dangda", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Teerasil_Dangda", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Teerasil_Dangda", "playsFor", "Muangthong_United_F.C." ], [ "Teerasil_Dangda", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Teeratep_Winothai", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Teeratep_Winothai", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Teeratep_Winothai", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Teeratep_Winothai", "playsFor", "Muangthong_United_F.C." ], [ "Thanongsak_Panpipat", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Thanongsak_Panpipat", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Thanongsak_Panpipat", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Thanongsak_Panpipat", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Thanongsak_Panpipat", "playsFor", "Bangkok_Bank_F.C." ], [ "Thanongsak_Panpipat", "playsFor", "Muangthong_United_F.C." ], [ "Thritthi_Nonsrichai", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Thritthi_Nonsrichai", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Thritthi_Nonsrichai", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Thritthi_Nonsrichai", "playsFor", "Muangthong_United_F.C." ], [ "Webster_Groves,_Missouri", "isLocatedIn", "Missouri" ], [ "Webster_Groves,_Missouri", "isLocatedIn", "United_States" ], [ "Weera_Koedpudsa", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Weera_Koedpudsa", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Weera_Koedpudsa", "playsFor", "Bangkok_Bank_F.C." ], [ "Weera_Koedpudsa", "playsFor", "Muangthong_United_F.C." ], [ "Wisarut_Pannasri", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Wisarut_Pannasri", "isAffiliatedTo", "Bangkok_Bank_F.C." ], [ "Wisarut_Pannasri", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Wisarut_Pannasri", "isAffiliatedTo", "Raj_Pracha_Thailand_F.C." ], [ "Wisarut_Pannasri", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Wisarut_Pannasri", "playsFor", "Bangkok_Bank_F.C." ], [ "Wisarut_Pannasri", "playsFor", "Muangthong_United_F.C." ], [ "Wisarut_Pannasri", "playsFor", "Raj_Pracha_Thailand_F.C." ], [ "Wuttichai_Tathong", "isAffiliatedTo", "BEC_Tero_Sasana_F.C." ], [ "Wuttichai_Tathong", "isAffiliatedTo", "Muangthong_United_F.C." ], [ "Wuttichai_Tathong", "playsFor", "BEC_Tero_Sasana_F.C." ], [ "Wuttichai_Tathong", "playsFor", "Muangthong_United_F.C." ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 28037, Grand_Island,_Nebraska 17804, John_Pedersen_(arms_designer) 81657, Nebraska 38171, The_Big_Lebowski 29157, United_States src, edge_attr, dst 28037, isLocatedIn, 81657 28037, isLocatedIn, 29157 17804, wasBornIn, 28037 81657, isLocatedIn, 29157 38171, isLocatedIn, 29157 Question: In what context are John_Pedersen_(arms_designer) and The_Big_Lebowski connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "John_Pedersen_(arms_designer)", "The_Big_Lebowski" ], "valid_edges": [ [ "Grand_Island,_Nebraska", "isLocatedIn", "Nebraska" ], [ "Grand_Island,_Nebraska", "isLocatedIn", "United_States" ], [ "John_Pedersen_(arms_designer)", "wasBornIn", "Grand_Island,_Nebraska" ], [ "Nebraska", "isLocatedIn", "United_States" ], [ "The_Big_Lebowski", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 36720, 1959_Tibetan_uprising 91067, Affymetrix 82383, Afghanistan 5074, Algeria 33596, Angola 121554, Angolan_War_of_Independence 106272, Armenia 4956, Around_the_World_in_80_Days_(TV_miniseries) 95802, Australia 18438, Azerbaijan 61394, Bahrain 111723, Bangladesh 91101, Barbados 23493, Battle_of_Chosin_Reservoir 72745, Battle_of_Guilin–Liuzhou 93445, Battle_of_Heartbreak_Ridge 95967, Battle_of_Kapyong 23888, Battle_of_the_Imjin_River 96383, Belize 32302, Benin 109165, Bolivia 76228, Boxer_Rebellion 87536, Brazil 17857, Burma_Campaign_1944 71269, Burundi 99069, Cambodia 84610, Cambodian–Vietnamese_War 60046, Cameroon 108086, Canada 23323, Cape_Verde 31203, Carbonated_Games 32958, Chen-Ning_Yang 46515, Chia-Chiao_Lin 25228, Chien-Shiung_Wu 31598, Chile 45863, China 64520, Civil_war_in_Afghanistan_(1989–92) 4267, Colombia 107583, Congo_Crisis 59170, Costa_Rica 103458, Crouching_Tiger,_Hidden_Dragon 63325, Cuba 64438, Denmark 7586, Dominican_Republic 47476, Egypt 78687, El_Salvador 109712, Equatorial_Guinea 17957, Eritrean_War_of_Independence 55492, Ethio-Somali_War 22794, Ethiopia 21333, Fearless_(2006_film) 52555, Finland 94151, First_Indochina_War 13736, Gabon 51011, Georgia_(country) 61995, Germany 48836, Grenada 2126, Guatemala 98577, Guinea-Bissau 51355, Guyana 113020, Haiti 110655, Hong_Kong 4293, Iceland 89823, India 33806, Indonesia 32993, Indonesian_occupation_of_East_Timor 38665, Insurgency_in_Laos 102330, Internal_conflict_in_Burma 48811, Iraq 115938, Israel 107116, Ivory_Coast 21132, Jamaica 76792, Japan 2104, Jordan 57645, Korean_War 98240, Kuwait 55513, Laotian_Civil_War 108652, Lebanon 92013, Lenovo 22443, Li_Fang-Kuei 55674, Liberia 45378, Libya 51681, Little_Vietnam 102598, Macau 116954, Madagascar 99937, Madame_Tussauds 79493, Malaysia 85530, Maldives 57031, Marco_Polo_(TV_miniseries) 119603, Mauritania 61351, Mauritius 46903, Memoirs_of_a_Geisha_(film) 115840, Mongolia 99556, Morocco 123064, Mozambique 102143, My_Blueberry_Nights 95142, NCSOFT 56910, Nepal 97313, Netherlands 114482, New_Zealand 114375, Nicaragua 27329, Niger 34763, Nigeria 59688, Norway 112418, Oman 122711, Operation_Enduring_Freedom 59704, Operation_Enduring_Freedom_–_Horn_of_Africa 50917, Operation_Ripper 76042, Pacific_War 85860, Pakistan 109270, Panama 57243, Papua_New_Guinea 101244, Paraguay 101039, Paul_H._Nitze_School_of_Advanced_International_Studies 38458, Peru 84827, Philippines 71726, Portuguese_Colonial_War 71114, Qatar 30340, Quebec 31871, Republic_of_Ireland 101967, Republic_of_the_Congo 5813, RoboCop_2 36205, Rush_Hour_2 73020, Rwanda 60596, Salvadoran_Civil_War 104670, Saudi_Arabia 21554, Second_Sino-Japanese_War 89052, Shaba_I 13515, Sho-Chieh_Tsiang 21278, Sierra_Leone 29594, Singapore 69057, South_Africa 82590, South_Korea 75821, Soviet_war_in_Afghanistan 7067, Sri_Lanka 109657, Sun_Yat-sen 24922, Suriname 6827, Sweden 69478, Switzerland 48370, Thailand 90414, The_Bahamas 64411, The_Forbidden_Kingdom 47004, The_Painted_Veil_(2006_film) 58450, The_Promise_(2005_film) 8613, The_White_Countess 38615, Tunisia 53538, Turkey 76200, United_Arab_Emirates 100654, United_Kingdom 29157, United_States 43946, Uruguay 11684, Venezuela 84438, Vietnam 74612, Wales 75056, War_on_Terror 84023, Yantai 105558, Yu-Chi_Ho 55527, fr/Tijanisme src, edge_attr, dst 36720, happenedIn, 45863 91067, isLocatedIn, 45863 91067, isLocatedIn, 29157 82383, dealsWith, 45863 82383, dealsWith, 29157 82383, hasNeighbor, 45863 5074, dealsWith, 45863 5074, dealsWith, 29157 33596, dealsWith, 45863 33596, dealsWith, 29157 106272, dealsWith, 45863 106272, dealsWith, 29157 4956, isLocatedIn, 45863 4956, isLocatedIn, 29157 95802, dealsWith, 45863 95802, dealsWith, 29157 18438, dealsWith, 45863 18438, dealsWith, 29157 61394, dealsWith, 45863 61394, dealsWith, 29157 111723, dealsWith, 45863 111723, dealsWith, 29157 91101, dealsWith, 45863 91101, dealsWith, 29157 23493, happenedIn, 45863 93445, happenedIn, 45863 93445, happenedIn, 29157 96383, dealsWith, 45863 96383, dealsWith, 29157 32302, dealsWith, 45863 32302, dealsWith, 29157 109165, dealsWith, 45863 109165, dealsWith, 29157 76228, happenedIn, 45863 87536, dealsWith, 45863 87536, dealsWith, 29157 17857, happenedIn, 45863 71269, dealsWith, 45863 71269, dealsWith, 29157 99069, dealsWith, 45863 99069, dealsWith, 29157 60046, dealsWith, 45863 60046, dealsWith, 29157 108086, dealsWith, 45863 108086, dealsWith, 29157 108086, hasNeighbor, 29157 23323, dealsWith, 45863 23323, dealsWith, 29157 31203, isLocatedIn, 45863 31203, isLocatedIn, 29157 32958, isCitizenOf, 29157 32958, livesIn, 45863 46515, isCitizenOf, 29157 46515, livesIn, 45863 46515, livesIn, 29157 25228, isCitizenOf, 45863 25228, isCitizenOf, 29157 31598, dealsWith, 45863 31598, dealsWith, 29157 45863, dealsWith, 95802 45863, dealsWith, 61995 45863, dealsWith, 110655 45863, dealsWith, 76792 45863, dealsWith, 82590 45863, dealsWith, 29157 45863, hasNeighbor, 82383 45863, hasNeighbor, 89823 45863, hasNeighbor, 115840 45863, hasNeighbor, 56910 45863, hasNeighbor, 85860 45863, hasNeighbor, 84438 45863, participatedIn, 36720 45863, participatedIn, 121554 45863, participatedIn, 23493 45863, participatedIn, 72745 45863, participatedIn, 93445 45863, participatedIn, 95967 45863, participatedIn, 23888 45863, participatedIn, 84610 45863, participatedIn, 64520 45863, participatedIn, 107583 45863, participatedIn, 17957 45863, participatedIn, 55492 45863, participatedIn, 94151 45863, participatedIn, 32993 45863, participatedIn, 38665 45863, participatedIn, 102330 45863, participatedIn, 57645 45863, participatedIn, 55513 45863, participatedIn, 122711 45863, participatedIn, 59704 45863, participatedIn, 50917 45863, participatedIn, 71726 45863, participatedIn, 60596 45863, participatedIn, 89052 45863, participatedIn, 75821 45863, participatedIn, 75056 4267, dealsWith, 45863 4267, dealsWith, 29157 59170, dealsWith, 45863 59170, dealsWith, 29157 103458, isLocatedIn, 45863 103458, isLocatedIn, 29157 63325, dealsWith, 45863 63325, dealsWith, 29157 63325, hasNeighbor, 29157 64438, dealsWith, 45863 64438, dealsWith, 29157 7586, dealsWith, 45863 7586, dealsWith, 29157 47476, dealsWith, 45863 47476, dealsWith, 29157 78687, dealsWith, 45863 78687, dealsWith, 29157 109712, dealsWith, 45863 109712, dealsWith, 29157 22794, dealsWith, 45863 22794, dealsWith, 29157 21333, isLocatedIn, 45863 21333, isLocatedIn, 29157 52555, dealsWith, 45863 52555, dealsWith, 29157 13736, dealsWith, 45863 13736, dealsWith, 29157 51011, dealsWith, 45863 51011, dealsWith, 29157 61995, dealsWith, 45863 61995, dealsWith, 29157 48836, dealsWith, 45863 48836, dealsWith, 29157 2126, dealsWith, 45863 2126, dealsWith, 29157 98577, dealsWith, 45863 98577, dealsWith, 29157 51355, dealsWith, 45863 51355, dealsWith, 29157 113020, dealsWith, 45863 113020, dealsWith, 29157 110655, dealsWith, 45863 110655, dealsWith, 29157 110655, isLocatedIn, 45863 4293, dealsWith, 45863 4293, dealsWith, 29157 89823, dealsWith, 45863 89823, dealsWith, 29157 89823, hasNeighbor, 45863 33806, dealsWith, 45863 33806, dealsWith, 29157 48811, dealsWith, 45863 48811, dealsWith, 29157 115938, dealsWith, 45863 115938, dealsWith, 29157 107116, dealsWith, 45863 107116, dealsWith, 29157 21132, dealsWith, 45863 21132, dealsWith, 29157 76792, dealsWith, 45863 76792, dealsWith, 29157 2104, dealsWith, 45863 2104, dealsWith, 29157 98240, dealsWith, 45863 98240, dealsWith, 29157 108652, dealsWith, 45863 108652, dealsWith, 29157 92013, isLocatedIn, 45863 92013, isLocatedIn, 29157 22443, isCitizenOf, 29157 22443, livesIn, 45863 22443, livesIn, 29157 55674, dealsWith, 45863 55674, dealsWith, 29157 45378, dealsWith, 45863 45378, dealsWith, 29157 51681, isLocatedIn, 45863 51681, isLocatedIn, 29157 102598, dealsWith, 45863 102598, dealsWith, 29157 102598, isLocatedIn, 45863 116954, dealsWith, 45863 116954, dealsWith, 29157 99937, isLocatedIn, 45863 99937, isLocatedIn, 29157 79493, dealsWith, 45863 79493, dealsWith, 29157 85530, dealsWith, 45863 85530, dealsWith, 29157 57031, isLocatedIn, 45863 57031, isLocatedIn, 29157 119603, dealsWith, 45863 119603, dealsWith, 29157 61351, dealsWith, 45863 61351, dealsWith, 29157 46903, isLocatedIn, 45863 46903, isLocatedIn, 29157 115840, dealsWith, 45863 115840, dealsWith, 29157 115840, hasNeighbor, 45863 99556, dealsWith, 45863 99556, dealsWith, 29157 123064, dealsWith, 45863 123064, dealsWith, 29157 102143, isLocatedIn, 45863 102143, isLocatedIn, 29157 95142, isLocatedIn, 45863 95142, isLocatedIn, 29157 56910, dealsWith, 45863 56910, dealsWith, 29157 56910, hasNeighbor, 45863 97313, dealsWith, 45863 97313, dealsWith, 29157 114482, dealsWith, 45863 114482, dealsWith, 29157 114375, dealsWith, 45863 114375, dealsWith, 29157 27329, dealsWith, 45863 27329, dealsWith, 29157 34763, dealsWith, 45863 34763, dealsWith, 29157 59688, dealsWith, 45863 59688, dealsWith, 29157 112418, dealsWith, 45863 112418, dealsWith, 29157 76042, happenedIn, 45863 85860, dealsWith, 45863 85860, dealsWith, 29157 85860, hasNeighbor, 45863 109270, dealsWith, 45863 109270, dealsWith, 29157 57243, dealsWith, 45863 57243, dealsWith, 29157 101244, dealsWith, 45863 101244, dealsWith, 29157 101039, isLocatedIn, 45863 101039, isLocatedIn, 29157 38458, dealsWith, 45863 38458, dealsWith, 29157 84827, dealsWith, 45863 84827, dealsWith, 29157 71114, dealsWith, 45863 71114, dealsWith, 29157 30340, dealsWith, 45863 30340, dealsWith, 29157 31871, dealsWith, 45863 31871, dealsWith, 29157 101967, dealsWith, 45863 101967, dealsWith, 29157 5813, isLocatedIn, 29157 36205, isLocatedIn, 45863 36205, isLocatedIn, 29157 73020, dealsWith, 45863 73020, dealsWith, 29157 104670, dealsWith, 45863 104670, dealsWith, 29157 21554, happenedIn, 45863 21554, happenedIn, 29157 13515, isCitizenOf, 29157 13515, livesIn, 45863 21278, dealsWith, 45863 21278, dealsWith, 29157 29594, dealsWith, 45863 29594, dealsWith, 29157 69057, dealsWith, 45863 69057, dealsWith, 29157 82590, dealsWith, 45863 82590, dealsWith, 29157 7067, dealsWith, 45863 7067, dealsWith, 29157 109657, isCitizenOf, 45863 109657, isCitizenOf, 29157 24922, dealsWith, 45863 24922, dealsWith, 29157 6827, dealsWith, 45863 6827, dealsWith, 29157 69478, dealsWith, 45863 69478, dealsWith, 29157 48370, dealsWith, 45863 48370, dealsWith, 29157 90414, dealsWith, 45863 90414, dealsWith, 29157 64411, isLocatedIn, 45863 64411, isLocatedIn, 29157 47004, isLocatedIn, 45863 47004, isLocatedIn, 29157 58450, isLocatedIn, 45863 58450, isLocatedIn, 29157 8613, isLocatedIn, 45863 8613, isLocatedIn, 29157 38615, dealsWith, 45863 38615, dealsWith, 29157 53538, dealsWith, 45863 53538, dealsWith, 29157 76200, dealsWith, 45863 76200, dealsWith, 29157 100654, dealsWith, 45863 100654, dealsWith, 29157 29157, dealsWith, 108086 29157, dealsWith, 45863 29157, dealsWith, 61995 29157, dealsWith, 76792 29157, hasNeighbor, 108086 29157, hasNeighbor, 63325 29157, participatedIn, 36720 29157, participatedIn, 121554 29157, participatedIn, 23493 29157, participatedIn, 72745 29157, participatedIn, 93445 29157, participatedIn, 95967 29157, participatedIn, 23888 29157, participatedIn, 76228 29157, participatedIn, 17857 29157, participatedIn, 84610 29157, participatedIn, 64520 29157, participatedIn, 107583 29157, participatedIn, 17957 29157, participatedIn, 55492 29157, participatedIn, 94151 29157, participatedIn, 32993 29157, participatedIn, 38665 29157, participatedIn, 102330 29157, participatedIn, 57645 29157, participatedIn, 55513 29157, participatedIn, 122711 29157, participatedIn, 59704 29157, participatedIn, 50917 29157, participatedIn, 76042 29157, participatedIn, 71726 29157, participatedIn, 60596 29157, participatedIn, 89052 29157, participatedIn, 75821 29157, participatedIn, 75056 43946, dealsWith, 45863 43946, dealsWith, 29157 11684, dealsWith, 45863 11684, dealsWith, 29157 84438, dealsWith, 45863 84438, dealsWith, 29157 84438, hasNeighbor, 45863 74612, dealsWith, 45863 74612, dealsWith, 29157 84023, isLocatedIn, 45863 105558, isCitizenOf, 45863 105558, isCitizenOf, 29157 105558, livesIn, 29157 55527, isLocatedIn, 45863 55527, isLocatedIn, 29157 Question: How are RoboCop_2 and Yantai related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "RoboCop_2", "Yantai" ], "valid_edges": [ [ "1959_Tibetan_uprising", "happenedIn", "China" ], [ "Affymetrix", "isLocatedIn", "China" ], [ "Affymetrix", "isLocatedIn", "United_States" ], [ "Afghanistan", "dealsWith", "China" ], [ "Afghanistan", "dealsWith", "United_States" ], [ "Afghanistan", "hasNeighbor", "China" ], [ "Algeria", "dealsWith", "China" ], [ "Algeria", "dealsWith", "United_States" ], [ "Angola", "dealsWith", "China" ], [ "Angola", "dealsWith", "United_States" ], [ "Armenia", "dealsWith", "China" ], [ "Armenia", "dealsWith", "United_States" ], [ "Around_the_World_in_80_Days_(TV_miniseries)", "isLocatedIn", "China" ], [ "Around_the_World_in_80_Days_(TV_miniseries)", "isLocatedIn", "United_States" ], [ "Australia", "dealsWith", "China" ], [ "Australia", "dealsWith", "United_States" ], [ "Azerbaijan", "dealsWith", "China" ], [ "Azerbaijan", "dealsWith", "United_States" ], [ "Bahrain", "dealsWith", "China" ], [ "Bahrain", "dealsWith", "United_States" ], [ "Bangladesh", "dealsWith", "China" ], [ "Bangladesh", "dealsWith", "United_States" ], [ "Barbados", "dealsWith", "China" ], [ "Barbados", "dealsWith", "United_States" ], [ "Battle_of_Chosin_Reservoir", "happenedIn", "China" ], [ "Battle_of_Heartbreak_Ridge", "happenedIn", "China" ], [ "Battle_of_Heartbreak_Ridge", "happenedIn", "United_States" ], [ "Belize", "dealsWith", "China" ], [ "Belize", "dealsWith", "United_States" ], [ "Benin", "dealsWith", "China" ], [ "Benin", "dealsWith", "United_States" ], [ "Bolivia", "dealsWith", "China" ], [ "Bolivia", "dealsWith", "United_States" ], [ "Boxer_Rebellion", "happenedIn", "China" ], [ "Brazil", "dealsWith", "China" ], [ "Brazil", "dealsWith", "United_States" ], [ "Burma_Campaign_1944", "happenedIn", "China" ], [ "Burundi", "dealsWith", "China" ], [ "Burundi", "dealsWith", "United_States" ], [ "Cambodia", "dealsWith", "China" ], [ "Cambodia", "dealsWith", "United_States" ], [ "Cameroon", "dealsWith", "China" ], [ "Cameroon", "dealsWith", "United_States" ], [ "Canada", "dealsWith", "China" ], [ "Canada", "dealsWith", "United_States" ], [ "Canada", "hasNeighbor", "United_States" ], [ "Cape_Verde", "dealsWith", "China" ], [ "Cape_Verde", "dealsWith", "United_States" ], [ "Carbonated_Games", "isLocatedIn", "China" ], [ "Carbonated_Games", "isLocatedIn", "United_States" ], [ "Chen-Ning_Yang", "isCitizenOf", "United_States" ], [ "Chen-Ning_Yang", "livesIn", "China" ], [ "Chia-Chiao_Lin", "isCitizenOf", "United_States" ], [ "Chia-Chiao_Lin", "livesIn", "China" ], [ "Chia-Chiao_Lin", "livesIn", "United_States" ], [ "Chien-Shiung_Wu", "isCitizenOf", "China" ], [ "Chien-Shiung_Wu", "isCitizenOf", "United_States" ], [ "Chile", "dealsWith", "China" ], [ "Chile", "dealsWith", "United_States" ], [ "China", "dealsWith", "Australia" ], [ "China", "dealsWith", "Germany" ], [ "China", "dealsWith", "Hong_Kong" ], [ "China", "dealsWith", "Japan" ], [ "China", "dealsWith", "South_Korea" ], [ "China", "dealsWith", "United_States" ], [ "China", "hasNeighbor", "Afghanistan" ], [ "China", "hasNeighbor", "India" ], [ "China", "hasNeighbor", "Mongolia" ], [ "China", "hasNeighbor", "Nepal" ], [ "China", "hasNeighbor", "Pakistan" ], [ "China", "hasNeighbor", "Vietnam" ], [ "China", "participatedIn", "1959_Tibetan_uprising" ], [ "China", "participatedIn", "Angolan_War_of_Independence" ], [ "China", "participatedIn", "Battle_of_Chosin_Reservoir" ], [ "China", "participatedIn", "Battle_of_Guilin–Liuzhou" ], [ "China", "participatedIn", "Battle_of_Heartbreak_Ridge" ], [ "China", "participatedIn", "Battle_of_Kapyong" ], [ "China", "participatedIn", "Battle_of_the_Imjin_River" ], [ "China", "participatedIn", "Cambodian–Vietnamese_War" ], [ "China", "participatedIn", "Civil_war_in_Afghanistan_(1989–92)" ], [ "China", "participatedIn", "Congo_Crisis" ], [ "China", "participatedIn", "Eritrean_War_of_Independence" ], [ "China", "participatedIn", "Ethio-Somali_War" ], [ "China", "participatedIn", "First_Indochina_War" ], [ "China", "participatedIn", "Indonesian_occupation_of_East_Timor" ], [ "China", "participatedIn", "Insurgency_in_Laos" ], [ "China", "participatedIn", "Internal_conflict_in_Burma" ], [ "China", "participatedIn", "Korean_War" ], [ "China", "participatedIn", "Laotian_Civil_War" ], [ "China", "participatedIn", "Operation_Enduring_Freedom" ], [ "China", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "China", "participatedIn", "Operation_Ripper" ], [ "China", "participatedIn", "Portuguese_Colonial_War" ], [ "China", "participatedIn", "Salvadoran_Civil_War" ], [ "China", "participatedIn", "Shaba_I" ], [ "China", "participatedIn", "Soviet_war_in_Afghanistan" ], [ "China", "participatedIn", "War_on_Terror" ], [ "Colombia", "dealsWith", "China" ], [ "Colombia", "dealsWith", "United_States" ], [ "Costa_Rica", "dealsWith", "China" ], [ "Costa_Rica", "dealsWith", "United_States" ], [ "Crouching_Tiger,_Hidden_Dragon", "isLocatedIn", "China" ], [ "Crouching_Tiger,_Hidden_Dragon", "isLocatedIn", "United_States" ], [ "Cuba", "dealsWith", "China" ], [ "Cuba", "dealsWith", "United_States" ], [ "Cuba", "hasNeighbor", "United_States" ], [ "Denmark", "dealsWith", "China" ], [ "Denmark", "dealsWith", "United_States" ], [ "Dominican_Republic", "dealsWith", "China" ], [ "Dominican_Republic", "dealsWith", "United_States" ], [ "Egypt", "dealsWith", "China" ], [ "Egypt", "dealsWith", "United_States" ], [ "El_Salvador", "dealsWith", "China" ], [ "El_Salvador", "dealsWith", "United_States" ], [ "Equatorial_Guinea", "dealsWith", "China" ], [ "Equatorial_Guinea", "dealsWith", "United_States" ], [ "Ethiopia", "dealsWith", "China" ], [ "Ethiopia", "dealsWith", "United_States" ], [ "Fearless_(2006_film)", "isLocatedIn", "China" ], [ "Fearless_(2006_film)", "isLocatedIn", "United_States" ], [ "Finland", "dealsWith", "China" ], [ "Finland", "dealsWith", "United_States" ], [ "Gabon", "dealsWith", "China" ], [ "Gabon", "dealsWith", "United_States" ], [ "Georgia_(country)", "dealsWith", "China" ], [ "Georgia_(country)", "dealsWith", "United_States" ], [ "Germany", "dealsWith", "China" ], [ "Germany", "dealsWith", "United_States" ], [ "Grenada", "dealsWith", "China" ], [ "Grenada", "dealsWith", "United_States" ], [ "Guatemala", "dealsWith", "China" ], [ "Guatemala", "dealsWith", "United_States" ], [ "Guinea-Bissau", "dealsWith", "China" ], [ "Guinea-Bissau", "dealsWith", "United_States" ], [ "Guyana", "dealsWith", "China" ], [ "Guyana", "dealsWith", "United_States" ], [ "Haiti", "dealsWith", "China" ], [ "Haiti", "dealsWith", "United_States" ], [ "Hong_Kong", "dealsWith", "China" ], [ "Hong_Kong", "dealsWith", "United_States" ], [ "Hong_Kong", "isLocatedIn", "China" ], [ "Iceland", "dealsWith", "China" ], [ "Iceland", "dealsWith", "United_States" ], [ "India", "dealsWith", "China" ], [ "India", "dealsWith", "United_States" ], [ "India", "hasNeighbor", "China" ], [ "Indonesia", "dealsWith", "China" ], [ "Indonesia", "dealsWith", "United_States" ], [ "Iraq", "dealsWith", "China" ], [ "Iraq", "dealsWith", "United_States" ], [ "Israel", "dealsWith", "China" ], [ "Israel", "dealsWith", "United_States" ], [ "Ivory_Coast", "dealsWith", "China" ], [ "Ivory_Coast", "dealsWith", "United_States" ], [ "Jamaica", "dealsWith", "China" ], [ "Jamaica", "dealsWith", "United_States" ], [ "Japan", "dealsWith", "China" ], [ "Japan", "dealsWith", "United_States" ], [ "Jordan", "dealsWith", "China" ], [ "Jordan", "dealsWith", "United_States" ], [ "Kuwait", "dealsWith", "China" ], [ "Kuwait", "dealsWith", "United_States" ], [ "Lebanon", "dealsWith", "China" ], [ "Lebanon", "dealsWith", "United_States" ], [ "Lenovo", "isLocatedIn", "China" ], [ "Lenovo", "isLocatedIn", "United_States" ], [ "Li_Fang-Kuei", "isCitizenOf", "United_States" ], [ "Li_Fang-Kuei", "livesIn", "China" ], [ "Li_Fang-Kuei", "livesIn", "United_States" ], [ "Liberia", "dealsWith", "China" ], [ "Liberia", "dealsWith", "United_States" ], [ "Libya", "dealsWith", "China" ], [ "Libya", "dealsWith", "United_States" ], [ "Little_Vietnam", "isLocatedIn", "China" ], [ "Little_Vietnam", "isLocatedIn", "United_States" ], [ "Macau", "dealsWith", "China" ], [ "Macau", "dealsWith", "United_States" ], [ "Macau", "isLocatedIn", "China" ], [ "Madagascar", "dealsWith", "China" ], [ "Madagascar", "dealsWith", "United_States" ], [ "Madame_Tussauds", "isLocatedIn", "China" ], [ "Madame_Tussauds", "isLocatedIn", "United_States" ], [ "Malaysia", "dealsWith", "China" ], [ "Malaysia", "dealsWith", "United_States" ], [ "Maldives", "dealsWith", "China" ], [ "Maldives", "dealsWith", "United_States" ], [ "Marco_Polo_(TV_miniseries)", "isLocatedIn", "China" ], [ "Marco_Polo_(TV_miniseries)", "isLocatedIn", "United_States" ], [ "Mauritania", "dealsWith", "China" ], [ "Mauritania", "dealsWith", "United_States" ], [ "Mauritius", "dealsWith", "China" ], [ "Mauritius", "dealsWith", "United_States" ], [ "Memoirs_of_a_Geisha_(film)", "isLocatedIn", "China" ], [ "Memoirs_of_a_Geisha_(film)", "isLocatedIn", "United_States" ], [ "Mongolia", "dealsWith", "China" ], [ "Mongolia", "dealsWith", "United_States" ], [ "Mongolia", "hasNeighbor", "China" ], [ "Morocco", "dealsWith", "China" ], [ "Morocco", "dealsWith", "United_States" ], [ "Mozambique", "dealsWith", "China" ], [ "Mozambique", "dealsWith", "United_States" ], [ "My_Blueberry_Nights", "isLocatedIn", "China" ], [ "My_Blueberry_Nights", "isLocatedIn", "United_States" ], [ "NCSOFT", "isLocatedIn", "China" ], [ "NCSOFT", "isLocatedIn", "United_States" ], [ "Nepal", "dealsWith", "China" ], [ "Nepal", "dealsWith", "United_States" ], [ "Nepal", "hasNeighbor", "China" ], [ "Netherlands", "dealsWith", "China" ], [ "Netherlands", "dealsWith", "United_States" ], [ "New_Zealand", "dealsWith", "China" ], [ "New_Zealand", "dealsWith", "United_States" ], [ "Nicaragua", "dealsWith", "China" ], [ "Nicaragua", "dealsWith", "United_States" ], [ "Niger", "dealsWith", "China" ], [ "Niger", "dealsWith", "United_States" ], [ "Nigeria", "dealsWith", "China" ], [ "Nigeria", "dealsWith", "United_States" ], [ "Norway", "dealsWith", "China" ], [ "Norway", "dealsWith", "United_States" ], [ "Oman", "dealsWith", "China" ], [ "Oman", "dealsWith", "United_States" ], [ "Pacific_War", "happenedIn", "China" ], [ "Pakistan", "dealsWith", "China" ], [ "Pakistan", "dealsWith", "United_States" ], [ "Pakistan", "hasNeighbor", "China" ], [ "Panama", "dealsWith", "China" ], [ "Panama", "dealsWith", "United_States" ], [ "Papua_New_Guinea", "dealsWith", "China" ], [ "Papua_New_Guinea", "dealsWith", "United_States" ], [ "Paraguay", "dealsWith", "China" ], [ "Paraguay", "dealsWith", "United_States" ], [ "Paul_H._Nitze_School_of_Advanced_International_Studies", "isLocatedIn", "China" ], [ "Paul_H._Nitze_School_of_Advanced_International_Studies", "isLocatedIn", "United_States" ], [ "Peru", "dealsWith", "China" ], [ "Peru", "dealsWith", "United_States" ], [ "Philippines", "dealsWith", "China" ], [ "Philippines", "dealsWith", "United_States" ], [ "Qatar", "dealsWith", "China" ], [ "Qatar", "dealsWith", "United_States" ], [ "Quebec", "dealsWith", "China" ], [ "Quebec", "dealsWith", "United_States" ], [ "Republic_of_Ireland", "dealsWith", "China" ], [ "Republic_of_Ireland", "dealsWith", "United_States" ], [ "Republic_of_the_Congo", "dealsWith", "China" ], [ "Republic_of_the_Congo", "dealsWith", "United_States" ], [ "RoboCop_2", "isLocatedIn", "United_States" ], [ "Rush_Hour_2", "isLocatedIn", "China" ], [ "Rush_Hour_2", "isLocatedIn", "United_States" ], [ "Rwanda", "dealsWith", "China" ], [ "Rwanda", "dealsWith", "United_States" ], [ "Saudi_Arabia", "dealsWith", "China" ], [ "Saudi_Arabia", "dealsWith", "United_States" ], [ "Second_Sino-Japanese_War", "happenedIn", "China" ], [ "Second_Sino-Japanese_War", "happenedIn", "United_States" ], [ "Sho-Chieh_Tsiang", "isCitizenOf", "United_States" ], [ "Sho-Chieh_Tsiang", "livesIn", "China" ], [ "Sierra_Leone", "dealsWith", "China" ], [ "Sierra_Leone", "dealsWith", "United_States" ], [ "Singapore", "dealsWith", "China" ], [ "Singapore", "dealsWith", "United_States" ], [ "South_Africa", "dealsWith", "China" ], [ "South_Africa", "dealsWith", "United_States" ], [ "South_Korea", "dealsWith", "China" ], [ "South_Korea", "dealsWith", "United_States" ], [ "Sri_Lanka", "dealsWith", "China" ], [ "Sri_Lanka", "dealsWith", "United_States" ], [ "Sun_Yat-sen", "isCitizenOf", "China" ], [ "Sun_Yat-sen", "isCitizenOf", "United_States" ], [ "Suriname", "dealsWith", "China" ], [ "Suriname", "dealsWith", "United_States" ], [ "Sweden", "dealsWith", "China" ], [ "Sweden", "dealsWith", "United_States" ], [ "Switzerland", "dealsWith", "China" ], [ "Switzerland", "dealsWith", "United_States" ], [ "Thailand", "dealsWith", "China" ], [ "Thailand", "dealsWith", "United_States" ], [ "The_Bahamas", "dealsWith", "China" ], [ "The_Bahamas", "dealsWith", "United_States" ], [ "The_Forbidden_Kingdom", "isLocatedIn", "China" ], [ "The_Forbidden_Kingdom", "isLocatedIn", "United_States" ], [ "The_Painted_Veil_(2006_film)", "isLocatedIn", "China" ], [ "The_Painted_Veil_(2006_film)", "isLocatedIn", "United_States" ], [ "The_Promise_(2005_film)", "isLocatedIn", "China" ], [ "The_Promise_(2005_film)", "isLocatedIn", "United_States" ], [ "The_White_Countess", "isLocatedIn", "China" ], [ "The_White_Countess", "isLocatedIn", "United_States" ], [ "Tunisia", "dealsWith", "China" ], [ "Tunisia", "dealsWith", "United_States" ], [ "Turkey", "dealsWith", "China" ], [ "Turkey", "dealsWith", "United_States" ], [ "United_Arab_Emirates", "dealsWith", "China" ], [ "United_Arab_Emirates", "dealsWith", "United_States" ], [ "United_Kingdom", "dealsWith", "China" ], [ "United_Kingdom", "dealsWith", "United_States" ], [ "United_States", "dealsWith", "Canada" ], [ "United_States", "dealsWith", "China" ], [ "United_States", "dealsWith", "Germany" ], [ "United_States", "dealsWith", "Japan" ], [ "United_States", "hasNeighbor", "Canada" ], [ "United_States", "hasNeighbor", "Cuba" ], [ "United_States", "participatedIn", "1959_Tibetan_uprising" ], [ "United_States", "participatedIn", "Angolan_War_of_Independence" ], [ "United_States", "participatedIn", "Battle_of_Chosin_Reservoir" ], [ "United_States", "participatedIn", "Battle_of_Guilin–Liuzhou" ], [ "United_States", "participatedIn", "Battle_of_Heartbreak_Ridge" ], [ "United_States", "participatedIn", "Battle_of_Kapyong" ], [ "United_States", "participatedIn", "Battle_of_the_Imjin_River" ], [ "United_States", "participatedIn", "Boxer_Rebellion" ], [ "United_States", "participatedIn", "Burma_Campaign_1944" ], [ "United_States", "participatedIn", "Cambodian–Vietnamese_War" ], [ "United_States", "participatedIn", "Civil_war_in_Afghanistan_(1989–92)" ], [ "United_States", "participatedIn", "Congo_Crisis" ], [ "United_States", "participatedIn", "Eritrean_War_of_Independence" ], [ "United_States", "participatedIn", "Ethio-Somali_War" ], [ "United_States", "participatedIn", "First_Indochina_War" ], [ "United_States", "participatedIn", "Indonesian_occupation_of_East_Timor" ], [ "United_States", "participatedIn", "Insurgency_in_Laos" ], [ "United_States", "participatedIn", "Internal_conflict_in_Burma" ], [ "United_States", "participatedIn", "Korean_War" ], [ "United_States", "participatedIn", "Laotian_Civil_War" ], [ "United_States", "participatedIn", "Operation_Enduring_Freedom" ], [ "United_States", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "United_States", "participatedIn", "Operation_Ripper" ], [ "United_States", "participatedIn", "Pacific_War" ], [ "United_States", "participatedIn", "Portuguese_Colonial_War" ], [ "United_States", "participatedIn", "Salvadoran_Civil_War" ], [ "United_States", "participatedIn", "Shaba_I" ], [ "United_States", "participatedIn", "Soviet_war_in_Afghanistan" ], [ "United_States", "participatedIn", "War_on_Terror" ], [ "Uruguay", "dealsWith", "China" ], [ "Uruguay", "dealsWith", "United_States" ], [ "Venezuela", "dealsWith", "China" ], [ "Venezuela", "dealsWith", "United_States" ], [ "Vietnam", "dealsWith", "China" ], [ "Vietnam", "dealsWith", "United_States" ], [ "Vietnam", "hasNeighbor", "China" ], [ "Wales", "dealsWith", "China" ], [ "Wales", "dealsWith", "United_States" ], [ "Yantai", "isLocatedIn", "China" ], [ "Yu-Chi_Ho", "isCitizenOf", "China" ], [ "Yu-Chi_Ho", "isCitizenOf", "United_States" ], [ "Yu-Chi_Ho", "livesIn", "United_States" ], [ "fr/Tijanisme", "isLocatedIn", "China" ], [ "fr/Tijanisme", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 103543, Fotis_Kafatos 4955, Little_Man_Tate_(band) 118104, male src, edge_attr, dst 103543, hasGender, 118104 4955, hasGender, 118104 Question: For what reason are Fotis_Kafatos and Little_Man_Tate_(band) associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Fotis_Kafatos", "Little_Man_Tate_(band)" ], "valid_edges": [ [ "Fotis_Kafatos", "hasGender", "male" ], [ "Little_Man_Tate_(band)", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 58124, Elizabeth_Bear 58667, Gautami_Tadimalla 89823, India 96988, Jayalalithaa 31360, Nilgiris_district 96498, Ooty 28469, Saritha 43659, Tamil_Nadu 34671, Western_Ghats 80384, female src, edge_attr, dst 58124, hasGender, 80384 58667, hasGender, 80384 58667, livesIn, 43659 96988, hasGender, 80384 96988, isLeaderOf, 43659 96988, isPoliticianOf, 43659 31360, isLocatedIn, 43659 96498, isLocatedIn, 89823 96498, isLocatedIn, 31360 96498, isLocatedIn, 43659 28469, hasGender, 80384 28469, livesIn, 43659 43659, isLocatedIn, 89823 34671, isLocatedIn, 96498 34671, isLocatedIn, 43659 Question: For what reason are Elizabeth_Bear and Nilgiris_district associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Elizabeth_Bear", "Nilgiris_district" ], "valid_edges": [ [ "Elizabeth_Bear", "hasGender", "female" ], [ "Gautami_Tadimalla", "hasGender", "female" ], [ "Gautami_Tadimalla", "livesIn", "Tamil_Nadu" ], [ "Jayalalithaa", "hasGender", "female" ], [ "Jayalalithaa", "isLeaderOf", "Tamil_Nadu" ], [ "Jayalalithaa", "isPoliticianOf", "Tamil_Nadu" ], [ "Nilgiris_district", "isLocatedIn", "Tamil_Nadu" ], [ "Ooty", "isLocatedIn", "India" ], [ "Ooty", "isLocatedIn", "Nilgiris_district" ], [ "Ooty", "isLocatedIn", "Tamil_Nadu" ], [ "Saritha", "hasGender", "female" ], [ "Saritha", "livesIn", "Tamil_Nadu" ], [ "Tamil_Nadu", "isLocatedIn", "India" ], [ "Western_Ghats", "isLocatedIn", "Ooty" ], [ "Western_Ghats", "isLocatedIn", "Tamil_Nadu" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 89812, Giuseppe_Signori 60109, Hammarby_IF 18968, Iraklis_Thessaloniki_F.C. 85974, José_Monteiro_de_Macedo 15404, Kennedy_Bakircioglü src, edge_attr, dst 89812, isAffiliatedTo, 18968 89812, playsFor, 18968 85974, isAffiliatedTo, 60109 85974, playsFor, 60109 15404, isAffiliatedTo, 60109 15404, isAffiliatedTo, 18968 15404, playsFor, 60109 15404, playsFor, 18968 Question: For what reason are Giuseppe_Signori and José_Monteiro_de_Macedo associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Giuseppe_Signori", "José_Monteiro_de_Macedo" ], "valid_edges": [ [ "Giuseppe_Signori", "isAffiliatedTo", "Iraklis_Thessaloniki_F.C." ], [ "Giuseppe_Signori", "playsFor", "Iraklis_Thessaloniki_F.C." ], [ "José_Monteiro_de_Macedo", "isAffiliatedTo", "Hammarby_IF" ], [ "José_Monteiro_de_Macedo", "playsFor", "Hammarby_IF" ], [ "Kennedy_Bakircioglü", "isAffiliatedTo", "Hammarby_IF" ], [ "Kennedy_Bakircioglü", "isAffiliatedTo", "Iraklis_Thessaloniki_F.C." ], [ "Kennedy_Bakircioglü", "playsFor", "Hammarby_IF" ], [ "Kennedy_Bakircioglü", "playsFor", "Iraklis_Thessaloniki_F.C." ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 84172, Agata_Tarczyńska 64664, Agnieszka_Holland 28459, Anatol_Stern 15308, Anna_Jagiellon 4371, Anne_of_Austria,_Queen_of_Poland 42478, Antoni_Malczewski 121651, Antoni_Zygmund 117130, Battle_of_Warsaw_(1656) 38872, Benoit_Mandelbrot 89853, Bolesław_Prus 25689, Camp_of_National_Unity 116575, Cezary_Trybański 87457, Civic_Platform 24623, College_of_Europe 93774, Constance_of_Austria 97146, Democratic_Left_Alliance 111744, Europe 103060, Francine_du_Plessix_Gray 110381, Gabriela_Zapolska 105910, Helene_Deutsch 19075, Henryk_Jabłoński 631, Jacek_Kuroń 111417, Jadwiga_Piłsudska 59494, Jarosław_Kaczyński 86342, John_Maurice_Hauke 88323, Joseph_Rotblat 81984, Józef_Cyrankiewicz 44134, Józef_Gosławski_(sculptor) 42501, Józef_Piłsudski 114633, Katarzyna_Skowrońska 117810, Katarzyna_Sobieska 89132, Kazimierz_Marcinkiewicz 6355, Lech_Kaczyński 48707, Legia_Warszawa_(ice_hockey) 21054, Leopold_Infeld 101350, MGM_HD 42064, Marian_Spychalski 46249, Marie_Curie 6263, Medical_University_of_Warsaw 69710, Mieczysław_Rakowski 87495, Mokotów 42871, National_Party_(Poland) 24126, Nonpartisan_Bloc_for_Cooperation_with_the_Government 67382, Paul_Erdős 41609, People's_Party_(Poland) 6049, Piotr_Jaroszewicz 59225, Poland 110959, Poland_Comes_First 106903, Polish_Academy_of_Sciences 35691, Polish_Christian_Democratic_Party 106470, Polish_People's_Party 55195, Polish_People's_Party_\u0022Piast\u0022 95979, Polish_Socialist_Party 96960, Popular_National_Union 3582, Royal_Castle,_Warsaw 1606, Stanisław_Mackiewicz 54829, Stanisław_Wojciechowski 107152, Stefan_Mazurkiewicz 38410, Tadeusz_Mazowiecki 50373, Telewizja_Polska 40890, Twinkle_Khanna 13116, University_of_Warsaw 115225, Viacom_International_Media_Networks_(Europe) 75579, Warsaw 28523, Warsaw_Ghetto_Uprising 101906, Warsaw_School_of_Economics 42639, Warsaw_University_of_Life_Sciences 62831, Warsaw_University_of_Technology 60054, Warsaw_Uprising 120174, Wojciech_Jaruzelski 106664, Wola 42847, World_Series_of_Snooker_2008/2009 105391, Włodzimierz_Cimoszewicz 120252, Xawery_Dunikowski 21301, Zbigniew_Herbert 79692, Zbigniew_Messner 98370, Zuzanna_Ginczanka 80384, female 77622, Śródmieście,_Warsaw src, edge_attr, dst 84172, hasGender, 80384 84172, wasBornIn, 75579 64664, hasGender, 80384 64664, wasBornIn, 75579 28459, diedIn, 75579 28459, isCitizenOf, 59225 28459, wasBornIn, 75579 15308, diedIn, 75579 15308, hasGender, 80384 4371, diedIn, 75579 4371, hasGender, 80384 42478, diedIn, 75579 42478, isCitizenOf, 59225 42478, wasBornIn, 75579 121651, isCitizenOf, 59225 121651, wasBornIn, 75579 117130, happenedIn, 59225 117130, happenedIn, 75579 117130, isLocatedIn, 59225 117130, isLocatedIn, 75579 38872, livesIn, 59225 38872, wasBornIn, 75579 89853, diedIn, 75579 89853, isCitizenOf, 59225 25689, isLocatedIn, 59225 25689, isLocatedIn, 75579 116575, isCitizenOf, 59225 116575, wasBornIn, 75579 87457, isLocatedIn, 59225 87457, isLocatedIn, 75579 24623, isLocatedIn, 59225 24623, isLocatedIn, 75579 93774, diedIn, 75579 93774, hasGender, 80384 97146, isLocatedIn, 59225 97146, isLocatedIn, 75579 103060, hasGender, 80384 103060, wasBornIn, 75579 110381, hasGender, 80384 110381, isCitizenOf, 59225 105910, hasGender, 80384 105910, isCitizenOf, 59225 19075, diedIn, 75579 19075, isCitizenOf, 59225 19075, isPoliticianOf, 59225 631, diedIn, 75579 631, isPoliticianOf, 59225 111417, hasGender, 80384 111417, wasBornIn, 75579 59494, isPoliticianOf, 59225 59494, wasBornIn, 75579 86342, diedIn, 75579 86342, isPoliticianOf, 59225 88323, isCitizenOf, 59225 88323, wasBornIn, 75579 81984, diedIn, 75579 81984, isPoliticianOf, 59225 44134, diedIn, 75579 44134, isCitizenOf, 59225 42501, diedIn, 75579 42501, isPoliticianOf, 59225 114633, hasGender, 80384 114633, wasBornIn, 75579 117810, diedIn, 75579 117810, hasGender, 80384 89132, isPoliticianOf, 59225 89132, isPoliticianOf, 75579 6355, isPoliticianOf, 59225 6355, isPoliticianOf, 75579 6355, wasBornIn, 75579 48707, isLocatedIn, 59225 48707, isLocatedIn, 75579 21054, diedIn, 75579 21054, isCitizenOf, 59225 21054, livesIn, 59225 101350, isLocatedIn, 59225 101350, isLocatedIn, 75579 42064, diedIn, 75579 42064, isPoliticianOf, 59225 42064, isPoliticianOf, 75579 46249, hasGender, 80384 46249, isCitizenOf, 59225 46249, wasBornIn, 75579 6263, isLocatedIn, 59225 6263, isLocatedIn, 75579 69710, diedIn, 75579 69710, isPoliticianOf, 59225 87495, isLocatedIn, 59225 87495, isLocatedIn, 75579 42871, isLocatedIn, 59225 42871, isLocatedIn, 75579 24126, isLocatedIn, 59225 24126, isLocatedIn, 75579 67382, diedIn, 75579 67382, isCitizenOf, 59225 41609, isLocatedIn, 59225 41609, isLocatedIn, 75579 6049, diedIn, 75579 6049, isPoliticianOf, 59225 59225, hasCapital, 75579 59225, isLocatedIn, 111744 110959, isLocatedIn, 59225 110959, isLocatedIn, 75579 106903, isLocatedIn, 59225 106903, isLocatedIn, 75579 35691, isLocatedIn, 59225 35691, isLocatedIn, 75579 106470, isLocatedIn, 59225 106470, isLocatedIn, 75579 55195, isLocatedIn, 59225 55195, isLocatedIn, 75579 95979, isLocatedIn, 59225 95979, isLocatedIn, 75579 96960, isLocatedIn, 59225 96960, isLocatedIn, 75579 3582, isLocatedIn, 59225 3582, isLocatedIn, 75579 1606, diedIn, 75579 1606, isPoliticianOf, 59225 54829, diedIn, 75579 54829, isPoliticianOf, 59225 107152, isCitizenOf, 59225 107152, wasBornIn, 75579 38410, diedIn, 75579 38410, isPoliticianOf, 59225 50373, isLocatedIn, 59225 50373, isLocatedIn, 75579 40890, hasGender, 80384 13116, isLocatedIn, 59225 13116, isLocatedIn, 75579 115225, isLocatedIn, 59225 115225, isLocatedIn, 75579 75579, isLocatedIn, 111744 75579, isLocatedIn, 59225 28523, happenedIn, 59225 28523, happenedIn, 75579 101906, isLocatedIn, 59225 101906, isLocatedIn, 75579 42639, isLocatedIn, 59225 42639, isLocatedIn, 75579 62831, isLocatedIn, 59225 62831, isLocatedIn, 75579 60054, happenedIn, 59225 60054, happenedIn, 75579 60054, isLocatedIn, 75579 120174, diedIn, 75579 120174, isPoliticianOf, 59225 106664, isLocatedIn, 59225 106664, isLocatedIn, 75579 42847, happenedIn, 75579 42847, isLocatedIn, 59225 42847, isLocatedIn, 75579 105391, isPoliticianOf, 59225 105391, wasBornIn, 75579 120252, diedIn, 75579 120252, isCitizenOf, 59225 21301, diedIn, 75579 21301, isCitizenOf, 59225 79692, diedIn, 75579 79692, isPoliticianOf, 59225 98370, hasGender, 80384 98370, isCitizenOf, 59225 77622, isLocatedIn, 59225 77622, isLocatedIn, 75579 Question: How are Piotr_Jaroszewicz and Twinkle_Khanna related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Piotr_Jaroszewicz", "Twinkle_Khanna" ], "valid_edges": [ [ "Agata_Tarczyńska", "hasGender", "female" ], [ "Agata_Tarczyńska", "wasBornIn", "Warsaw" ], [ "Agnieszka_Holland", "hasGender", "female" ], [ "Agnieszka_Holland", "wasBornIn", "Warsaw" ], [ "Anatol_Stern", "diedIn", "Warsaw" ], [ "Anatol_Stern", "isCitizenOf", "Poland" ], [ "Anatol_Stern", "wasBornIn", "Warsaw" ], [ "Anna_Jagiellon", "diedIn", "Warsaw" ], [ "Anna_Jagiellon", "hasGender", "female" ], [ "Anne_of_Austria,_Queen_of_Poland", "diedIn", "Warsaw" ], [ "Anne_of_Austria,_Queen_of_Poland", "hasGender", "female" ], [ "Antoni_Malczewski", "diedIn", "Warsaw" ], [ "Antoni_Malczewski", "isCitizenOf", "Poland" ], [ "Antoni_Malczewski", "wasBornIn", "Warsaw" ], [ "Antoni_Zygmund", "isCitizenOf", "Poland" ], [ "Antoni_Zygmund", "wasBornIn", "Warsaw" ], [ "Battle_of_Warsaw_(1656)", "happenedIn", "Poland" ], [ "Battle_of_Warsaw_(1656)", "happenedIn", "Warsaw" ], [ "Battle_of_Warsaw_(1656)", "isLocatedIn", "Poland" ], [ "Battle_of_Warsaw_(1656)", "isLocatedIn", "Warsaw" ], [ "Benoit_Mandelbrot", "livesIn", "Poland" ], [ "Benoit_Mandelbrot", "wasBornIn", "Warsaw" ], [ "Bolesław_Prus", "diedIn", "Warsaw" ], [ "Bolesław_Prus", "isCitizenOf", "Poland" ], [ "Camp_of_National_Unity", "isLocatedIn", "Poland" ], [ "Camp_of_National_Unity", "isLocatedIn", "Warsaw" ], [ "Cezary_Trybański", "isCitizenOf", "Poland" ], [ "Cezary_Trybański", "wasBornIn", "Warsaw" ], [ "Civic_Platform", "isLocatedIn", "Poland" ], [ "Civic_Platform", "isLocatedIn", "Warsaw" ], [ "College_of_Europe", "isLocatedIn", "Poland" ], [ "College_of_Europe", "isLocatedIn", "Warsaw" ], [ "Constance_of_Austria", "diedIn", "Warsaw" ], [ "Constance_of_Austria", "hasGender", "female" ], [ "Democratic_Left_Alliance", "isLocatedIn", "Poland" ], [ "Democratic_Left_Alliance", "isLocatedIn", "Warsaw" ], [ "Francine_du_Plessix_Gray", "hasGender", "female" ], [ "Francine_du_Plessix_Gray", "wasBornIn", "Warsaw" ], [ "Gabriela_Zapolska", "hasGender", "female" ], [ "Gabriela_Zapolska", "isCitizenOf", "Poland" ], [ "Helene_Deutsch", "hasGender", "female" ], [ "Helene_Deutsch", "isCitizenOf", "Poland" ], [ "Henryk_Jabłoński", "diedIn", "Warsaw" ], [ "Henryk_Jabłoński", "isCitizenOf", "Poland" ], [ "Henryk_Jabłoński", "isPoliticianOf", "Poland" ], [ "Jacek_Kuroń", "diedIn", "Warsaw" ], [ "Jacek_Kuroń", "isPoliticianOf", "Poland" ], [ "Jadwiga_Piłsudska", "hasGender", "female" ], [ "Jadwiga_Piłsudska", "wasBornIn", "Warsaw" ], [ "Jarosław_Kaczyński", "isPoliticianOf", "Poland" ], [ "Jarosław_Kaczyński", "wasBornIn", "Warsaw" ], [ "John_Maurice_Hauke", "diedIn", "Warsaw" ], [ "John_Maurice_Hauke", "isPoliticianOf", "Poland" ], [ "Joseph_Rotblat", "isCitizenOf", "Poland" ], [ "Joseph_Rotblat", "wasBornIn", "Warsaw" ], [ "Józef_Cyrankiewicz", "diedIn", "Warsaw" ], [ "Józef_Cyrankiewicz", "isPoliticianOf", "Poland" ], [ "Józef_Gosławski_(sculptor)", "diedIn", "Warsaw" ], [ "Józef_Gosławski_(sculptor)", "isCitizenOf", "Poland" ], [ "Józef_Piłsudski", "diedIn", "Warsaw" ], [ "Józef_Piłsudski", "isPoliticianOf", "Poland" ], [ "Katarzyna_Skowrońska", "hasGender", "female" ], [ "Katarzyna_Skowrońska", "wasBornIn", "Warsaw" ], [ "Katarzyna_Sobieska", "diedIn", "Warsaw" ], [ "Katarzyna_Sobieska", "hasGender", "female" ], [ "Kazimierz_Marcinkiewicz", "isPoliticianOf", "Poland" ], [ "Kazimierz_Marcinkiewicz", "isPoliticianOf", "Warsaw" ], [ "Lech_Kaczyński", "isPoliticianOf", "Poland" ], [ "Lech_Kaczyński", "isPoliticianOf", "Warsaw" ], [ "Lech_Kaczyński", "wasBornIn", "Warsaw" ], [ "Legia_Warszawa_(ice_hockey)", "isLocatedIn", "Poland" ], [ "Legia_Warszawa_(ice_hockey)", "isLocatedIn", "Warsaw" ], [ "Leopold_Infeld", "diedIn", "Warsaw" ], [ "Leopold_Infeld", "isCitizenOf", "Poland" ], [ "Leopold_Infeld", "livesIn", "Poland" ], [ "MGM_HD", "isLocatedIn", "Poland" ], [ "MGM_HD", "isLocatedIn", "Warsaw" ], [ "Marian_Spychalski", "diedIn", "Warsaw" ], [ "Marian_Spychalski", "isPoliticianOf", "Poland" ], [ "Marian_Spychalski", "isPoliticianOf", "Warsaw" ], [ "Marie_Curie", "hasGender", "female" ], [ "Marie_Curie", "isCitizenOf", "Poland" ], [ "Marie_Curie", "wasBornIn", "Warsaw" ], [ "Medical_University_of_Warsaw", "isLocatedIn", "Poland" ], [ "Medical_University_of_Warsaw", "isLocatedIn", "Warsaw" ], [ "Mieczysław_Rakowski", "diedIn", "Warsaw" ], [ "Mieczysław_Rakowski", "isPoliticianOf", "Poland" ], [ "Mokotów", "isLocatedIn", "Poland" ], [ "Mokotów", "isLocatedIn", "Warsaw" ], [ "National_Party_(Poland)", "isLocatedIn", "Poland" ], [ "National_Party_(Poland)", "isLocatedIn", "Warsaw" ], [ "Nonpartisan_Bloc_for_Cooperation_with_the_Government", "isLocatedIn", "Poland" ], [ "Nonpartisan_Bloc_for_Cooperation_with_the_Government", "isLocatedIn", "Warsaw" ], [ "Paul_Erdős", "diedIn", "Warsaw" ], [ "Paul_Erdős", "isCitizenOf", "Poland" ], [ "People's_Party_(Poland)", "isLocatedIn", "Poland" ], [ "People's_Party_(Poland)", "isLocatedIn", "Warsaw" ], [ "Piotr_Jaroszewicz", "diedIn", "Warsaw" ], [ "Piotr_Jaroszewicz", "isPoliticianOf", "Poland" ], [ "Poland", "hasCapital", "Warsaw" ], [ "Poland", "isLocatedIn", "Europe" ], [ "Poland_Comes_First", "isLocatedIn", "Poland" ], [ "Poland_Comes_First", "isLocatedIn", "Warsaw" ], [ "Polish_Academy_of_Sciences", "isLocatedIn", "Poland" ], [ "Polish_Academy_of_Sciences", "isLocatedIn", "Warsaw" ], [ "Polish_Christian_Democratic_Party", "isLocatedIn", "Poland" ], [ "Polish_Christian_Democratic_Party", "isLocatedIn", "Warsaw" ], [ "Polish_People's_Party", "isLocatedIn", "Poland" ], [ "Polish_People's_Party", "isLocatedIn", "Warsaw" ], [ "Polish_People's_Party_\\u0022Piast\\u0022", "isLocatedIn", "Poland" ], [ "Polish_People's_Party_\\u0022Piast\\u0022", "isLocatedIn", "Warsaw" ], [ "Polish_Socialist_Party", "isLocatedIn", "Poland" ], [ "Polish_Socialist_Party", "isLocatedIn", "Warsaw" ], [ "Popular_National_Union", "isLocatedIn", "Poland" ], [ "Popular_National_Union", "isLocatedIn", "Warsaw" ], [ "Royal_Castle,_Warsaw", "isLocatedIn", "Poland" ], [ "Royal_Castle,_Warsaw", "isLocatedIn", "Warsaw" ], [ "Stanisław_Mackiewicz", "diedIn", "Warsaw" ], [ "Stanisław_Mackiewicz", "isPoliticianOf", "Poland" ], [ "Stanisław_Wojciechowski", "diedIn", "Warsaw" ], [ "Stanisław_Wojciechowski", "isPoliticianOf", "Poland" ], [ "Stefan_Mazurkiewicz", "isCitizenOf", "Poland" ], [ "Stefan_Mazurkiewicz", "wasBornIn", "Warsaw" ], [ "Tadeusz_Mazowiecki", "diedIn", "Warsaw" ], [ "Tadeusz_Mazowiecki", "isPoliticianOf", "Poland" ], [ "Telewizja_Polska", "isLocatedIn", "Poland" ], [ "Telewizja_Polska", "isLocatedIn", "Warsaw" ], [ "Twinkle_Khanna", "hasGender", "female" ], [ "University_of_Warsaw", "isLocatedIn", "Poland" ], [ "University_of_Warsaw", "isLocatedIn", "Warsaw" ], [ "Viacom_International_Media_Networks_(Europe)", "isLocatedIn", "Poland" ], [ "Viacom_International_Media_Networks_(Europe)", "isLocatedIn", "Warsaw" ], [ "Warsaw", "isLocatedIn", "Europe" ], [ "Warsaw", "isLocatedIn", "Poland" ], [ "Warsaw_Ghetto_Uprising", "happenedIn", "Poland" ], [ "Warsaw_Ghetto_Uprising", "happenedIn", "Warsaw" ], [ "Warsaw_School_of_Economics", "isLocatedIn", "Poland" ], [ "Warsaw_School_of_Economics", "isLocatedIn", "Warsaw" ], [ "Warsaw_University_of_Life_Sciences", "isLocatedIn", "Poland" ], [ "Warsaw_University_of_Life_Sciences", "isLocatedIn", "Warsaw" ], [ "Warsaw_University_of_Technology", "isLocatedIn", "Poland" ], [ "Warsaw_University_of_Technology", "isLocatedIn", "Warsaw" ], [ "Warsaw_Uprising", "happenedIn", "Poland" ], [ "Warsaw_Uprising", "happenedIn", "Warsaw" ], [ "Warsaw_Uprising", "isLocatedIn", "Warsaw" ], [ "Wojciech_Jaruzelski", "diedIn", "Warsaw" ], [ "Wojciech_Jaruzelski", "isPoliticianOf", "Poland" ], [ "Wola", "isLocatedIn", "Poland" ], [ "Wola", "isLocatedIn", "Warsaw" ], [ "World_Series_of_Snooker_2008/2009", "happenedIn", "Warsaw" ], [ "World_Series_of_Snooker_2008/2009", "isLocatedIn", "Poland" ], [ "World_Series_of_Snooker_2008/2009", "isLocatedIn", "Warsaw" ], [ "Włodzimierz_Cimoszewicz", "isPoliticianOf", "Poland" ], [ "Włodzimierz_Cimoszewicz", "wasBornIn", "Warsaw" ], [ "Xawery_Dunikowski", "diedIn", "Warsaw" ], [ "Xawery_Dunikowski", "isCitizenOf", "Poland" ], [ "Zbigniew_Herbert", "diedIn", "Warsaw" ], [ "Zbigniew_Herbert", "isCitizenOf", "Poland" ], [ "Zbigniew_Messner", "diedIn", "Warsaw" ], [ "Zbigniew_Messner", "isPoliticianOf", "Poland" ], [ "Zuzanna_Ginczanka", "hasGender", "female" ], [ "Zuzanna_Ginczanka", "isCitizenOf", "Poland" ], [ "Śródmieście,_Warsaw", "isLocatedIn", "Poland" ], [ "Śródmieście,_Warsaw", "isLocatedIn", "Warsaw" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 113527, Chris_McAlpine 11987, Fail-Safe_(film) 115301, Henry_Fonda 29541, Larry_Hagman 75397, University_of_Minnesota src, edge_attr, dst 113527, isAffiliatedTo, 75397 115301, actedIn, 11987 115301, graduatedFrom, 75397 29541, actedIn, 11987 Question: For what reason are Chris_McAlpine and Larry_Hagman associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Chris_McAlpine", "Larry_Hagman" ], "valid_edges": [ [ "Chris_McAlpine", "isAffiliatedTo", "University_of_Minnesota" ], [ "Henry_Fonda", "actedIn", "Fail-Safe_(film)" ], [ "Henry_Fonda", "graduatedFrom", "University_of_Minnesota" ], [ "Larry_Hagman", "actedIn", "Fail-Safe_(film)" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 105063, Ezequiel_Maggiolo 79145, Sabyasachi_Chakrabarty 118104, male src, edge_attr, dst 105063, hasGender, 118104 79145, hasGender, 118104 Question: In what context are Ezequiel_Maggiolo and Sabyasachi_Chakrabarty connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Ezequiel_Maggiolo", "Sabyasachi_Chakrabarty" ], "valid_edges": [ [ "Ezequiel_Maggiolo", "hasGender", "male" ], [ "Sabyasachi_Chakrabarty", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 103782, Hancock_(film) 58225, Scottrade_Center 29157, United_States src, edge_attr, dst 103782, isLocatedIn, 29157 58225, isLocatedIn, 29157 Question: For what reason are Hancock_(film) and Scottrade_Center associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Hancock_(film)", "Scottrade_Center" ], "valid_edges": [ [ "Hancock_(film)", "isLocatedIn", "United_States" ], [ "Scottrade_Center", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 61076, Captain_Corelli's_Mandolin_(film) 111744, Europe 26467, Franco_Frattini 11747, Gianfranco_Fini 54393, Harry_Potter_(film_series) 39377, History_(European_TV_channel) 85048, Italian_Communist_Party 28726, Italy 45345, London 115181, MBDA 29123, Massimo_D'Alema 63273, Mick_Audsley 7578, Rome 100654, United_Kingdom src, edge_attr, dst 61076, isLocatedIn, 100654 26467, wasBornIn, 7578 11747, hasChild, 29123 11747, livesIn, 7578 54393, isLocatedIn, 100654 39377, isLocatedIn, 7578 39377, isLocatedIn, 100654 85048, isLocatedIn, 7578 28726, hasCapital, 7578 45345, isLocatedIn, 100654 115181, isLocatedIn, 7578 115181, isLocatedIn, 100654 29123, hasChild, 26467 29123, isAffiliatedTo, 85048 29123, isPoliticianOf, 28726 29123, wasBornIn, 7578 63273, edited, 61076 63273, edited, 54393 63273, isCitizenOf, 100654 63273, wasBornIn, 45345 7578, isLocatedIn, 111744 7578, isLocatedIn, 28726 100654, hasCapital, 45345 100654, isLocatedIn, 111744 Question: For what reason are Harry_Potter_(film_series) and Italian_Communist_Party associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Harry_Potter_(film_series)", "Italian_Communist_Party" ], "valid_edges": [ [ "Captain_Corelli's_Mandolin_(film)", "isLocatedIn", "United_Kingdom" ], [ "Franco_Frattini", "wasBornIn", "Rome" ], [ "Gianfranco_Fini", "hasChild", "Massimo_D'Alema" ], [ "Gianfranco_Fini", "livesIn", "Rome" ], [ "Harry_Potter_(film_series)", "isLocatedIn", "United_Kingdom" ], [ "History_(European_TV_channel)", "isLocatedIn", "Rome" ], [ "History_(European_TV_channel)", "isLocatedIn", "United_Kingdom" ], [ "Italian_Communist_Party", "isLocatedIn", "Rome" ], [ "Italy", "hasCapital", "Rome" ], [ "London", "isLocatedIn", "United_Kingdom" ], [ "MBDA", "isLocatedIn", "Rome" ], [ "MBDA", "isLocatedIn", "United_Kingdom" ], [ "Massimo_D'Alema", "hasChild", "Franco_Frattini" ], [ "Massimo_D'Alema", "isAffiliatedTo", "Italian_Communist_Party" ], [ "Massimo_D'Alema", "isPoliticianOf", "Italy" ], [ "Massimo_D'Alema", "wasBornIn", "Rome" ], [ "Mick_Audsley", "edited", "Captain_Corelli's_Mandolin_(film)" ], [ "Mick_Audsley", "edited", "Harry_Potter_(film_series)" ], [ "Mick_Audsley", "isCitizenOf", "United_Kingdom" ], [ "Mick_Audsley", "wasBornIn", "London" ], [ "Rome", "isLocatedIn", "Europe" ], [ "Rome", "isLocatedIn", "Italy" ], [ "United_Kingdom", "hasCapital", "London" ], [ "United_Kingdom", "isLocatedIn", "Europe" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 13058, Aidar_Kumisbekov 57968, Aleksandar_Vasiljević_(footballer) 76959, Aleksandr_Familtsev 103255, Aleksandr_Kuchma 60148, Ali_Aliyev_(footballer) 9453, Alier_Ashurmamadov 73013, Almir_Mukhutdinov 107317, Alyaksandr_Kulchy 47521, Anatolie_Doroș 67615, Andrei_Karpovich 739, Andrius_Velička 91472, Andriy_Annenkov 114345, Anton_Sakharov 11401, Bojan_Simić 60723, Darko_Maletić 38125, David_Loria 92789, Denis_Malinin 50433, Dias_Kamelov 47875, Didargylyç_Urazow 85531, Dimitar_Nakov 119002, Dmitri_Shomko 56496, Eduard_Ratnikov 49219, Eduard_Sergienko 9489, Egidijus_Juška 80851, FC_Alga_Bishkek 62376, FC_Astana 73697, FC_Dnipro_Dnipropetrovsk 117309, FC_Ekibastuzets 55569, FC_Gazovik_Orenburg 118772, FC_Irtysh_Pavlodar 21055, FC_Krasnodar 19605, FC_Lokomotiv_Moscow 111053, FC_Volgar_Astrakhan 36151, FC_Zhemchuzhina-Sochi 22504, FK_Leotar 40765, FK_Mladi_Radnik 18790, FK_Sevojno 3147, FK_Vėtra 4148, Farkhadbek_Irismetov 91048, Fevzi_Davletov 34998, Georgi_Daskalov 14120, Goran_Bošković_(footballer_born_1976) 41167, Goçguly_Goçgulyýew 8774, Igor_Burzanović 39031, Ihor_Chuchman 98921, Ihor_Chumachenko 41349, Kairat_Nurdauletov 103980, Kazakhstan_national_football_team 3703, Kazakhstan_national_under-21_football_team 97214, Konstantin_Yeryomenko 37649, Leonid_Kovel 2872, Maksat_Baizhanov 39762, Maksim_Zhalmagambetov 18455, Mamoutou_Coulibaly 50769, Miguel_Villalta 117425, Milan_Nikolić_(footballer_born_1983) 118045, Miodrag_Anđelković 77884, Murat_Tleshev 18739, Nilton_Pereira_Mendes 47280, Oleg_Veretennikov 79944, Orlin_Starokin 72557, Sabyrkhan_Ibraev 77641, Samat_Smakov 10693, Sergei_Ivanov_(footballer_born_1980) 29906, Sergei_Skorykh 6161, Sergei_Strukov 45623, Sergei_Volgin 45541, Sergey_Timofeev 11389, Serhiy_Skachenko 101187, Slavi_Kostenski 100874, Ulugbek_Bakayev 52485, Veaceslav_Sofroni 76072, Vladimir_Shevchuk 41686, Vladislav_Mirchev 25970, Vladislav_Ternavsky 118104, male src, edge_attr, dst 13058, hasGender, 118104 13058, isAffiliatedTo, 62376 13058, isAffiliatedTo, 118772 13058, isAffiliatedTo, 103980 13058, playsFor, 62376 13058, playsFor, 118772 13058, playsFor, 103980 57968, hasGender, 118104 57968, playsFor, 118772 57968, playsFor, 22504 57968, playsFor, 40765 57968, playsFor, 18790 76959, hasGender, 118104 76959, isAffiliatedTo, 118772 76959, isAffiliatedTo, 103980 76959, playsFor, 118772 76959, playsFor, 103980 103255, hasGender, 118104 103255, isAffiliatedTo, 62376 103255, isAffiliatedTo, 118772 103255, isAffiliatedTo, 103980 103255, playsFor, 62376 103255, playsFor, 118772 60148, hasGender, 118104 60148, isAffiliatedTo, 118772 60148, isAffiliatedTo, 103980 60148, playsFor, 118772 60148, playsFor, 103980 9453, hasGender, 118104 9453, isAffiliatedTo, 118772 9453, isAffiliatedTo, 19605 9453, playsFor, 118772 9453, playsFor, 19605 73013, hasGender, 118104 73013, playsFor, 55569 73013, playsFor, 118772 73013, playsFor, 21055 73013, playsFor, 111053 107317, hasGender, 118104 107317, isAffiliatedTo, 118772 107317, isAffiliatedTo, 21055 107317, playsFor, 118772 107317, playsFor, 21055 47521, isAffiliatedTo, 62376 47521, isAffiliatedTo, 118772 47521, playsFor, 62376 47521, playsFor, 118772 67615, hasGender, 118104 67615, isAffiliatedTo, 62376 67615, isAffiliatedTo, 118772 67615, isAffiliatedTo, 103980 67615, playsFor, 62376 67615, playsFor, 118772 67615, playsFor, 103980 739, hasGender, 118104 739, isAffiliatedTo, 118772 739, playsFor, 118772 91472, isAffiliatedTo, 118772 91472, playsFor, 73697 91472, playsFor, 118772 114345, hasGender, 118104 114345, isAffiliatedTo, 55569 114345, isAffiliatedTo, 118772 114345, playsFor, 55569 114345, playsFor, 118772 11401, hasGender, 118104 11401, playsFor, 118772 11401, playsFor, 22504 11401, playsFor, 40765 11401, playsFor, 18790 60723, hasGender, 118104 60723, isAffiliatedTo, 118772 60723, playsFor, 118772 38125, hasGender, 118104 38125, isAffiliatedTo, 62376 38125, isAffiliatedTo, 118772 38125, isAffiliatedTo, 103980 38125, playsFor, 62376 38125, playsFor, 118772 38125, playsFor, 103980 92789, hasGender, 118104 92789, playsFor, 118772 92789, playsFor, 19605 92789, playsFor, 36151 92789, playsFor, 3147 92789, playsFor, 103980 50433, hasGender, 118104 50433, isAffiliatedTo, 62376 50433, isAffiliatedTo, 118772 50433, isAffiliatedTo, 103980 50433, playsFor, 62376 50433, playsFor, 118772 50433, playsFor, 103980 47875, hasGender, 118104 47875, isAffiliatedTo, 118772 47875, playsFor, 118772 85531, hasGender, 118104 85531, isAffiliatedTo, 118772 85531, playsFor, 118772 119002, hasGender, 118104 119002, isAffiliatedTo, 118772 119002, isAffiliatedTo, 103980 119002, playsFor, 62376 119002, playsFor, 117309 119002, playsFor, 118772 119002, playsFor, 103980 119002, playsFor, 3703 56496, hasGender, 118104 56496, isAffiliatedTo, 118772 56496, playsFor, 118772 49219, hasGender, 118104 49219, isAffiliatedTo, 62376 49219, isAffiliatedTo, 118772 49219, isAffiliatedTo, 103980 49219, isAffiliatedTo, 3703 49219, playsFor, 62376 49219, playsFor, 118772 49219, playsFor, 103980 49219, playsFor, 3703 9489, hasGender, 118104 9489, isAffiliatedTo, 118772 9489, isAffiliatedTo, 3147 9489, playsFor, 118772 9489, playsFor, 3147 4148, hasGender, 118104 4148, isAffiliatedTo, 118772 4148, isAffiliatedTo, 103980 4148, playsFor, 118772 4148, playsFor, 103980 91048, hasGender, 118104 91048, isAffiliatedTo, 118772 34998, hasGender, 118104 34998, isAffiliatedTo, 118772 34998, playsFor, 118772 14120, hasGender, 118104 14120, playsFor, 118772 41167, hasGender, 118104 41167, isAffiliatedTo, 118772 41167, playsFor, 118772 8774, hasGender, 118104 8774, isAffiliatedTo, 118772 8774, playsFor, 118772 39031, hasGender, 118104 39031, isAffiliatedTo, 118772 39031, isAffiliatedTo, 103980 39031, playsFor, 118772 39031, playsFor, 103980 98921, hasGender, 118104 98921, playsFor, 118772 41349, isAffiliatedTo, 62376 41349, isAffiliatedTo, 118772 41349, isAffiliatedTo, 103980 41349, playsFor, 118772 41349, playsFor, 103980 97214, hasGender, 118104 97214, playsFor, 80851 97214, playsFor, 73697 97214, playsFor, 118772 37649, hasGender, 118104 37649, isAffiliatedTo, 118772 37649, playsFor, 118772 2872, hasGender, 118104 2872, isAffiliatedTo, 62376 2872, isAffiliatedTo, 118772 2872, isAffiliatedTo, 103980 2872, isAffiliatedTo, 3703 2872, playsFor, 62376 2872, playsFor, 118772 2872, playsFor, 103980 2872, playsFor, 3703 39762, hasGender, 118104 39762, isAffiliatedTo, 62376 39762, isAffiliatedTo, 117309 39762, isAffiliatedTo, 118772 39762, isAffiliatedTo, 103980 39762, playsFor, 62376 39762, playsFor, 117309 39762, playsFor, 118772 39762, playsFor, 103980 18455, hasGender, 118104 18455, isAffiliatedTo, 118772 18455, playsFor, 118772 50769, hasGender, 118104 117425, hasGender, 118104 117425, playsFor, 118772 118045, hasGender, 118104 118045, isAffiliatedTo, 118772 118045, playsFor, 118772 77884, hasGender, 118104 77884, isAffiliatedTo, 62376 77884, isAffiliatedTo, 118772 77884, isAffiliatedTo, 103980 77884, playsFor, 62376 77884, playsFor, 118772 77884, playsFor, 103980 18739, hasGender, 118104 18739, isAffiliatedTo, 36151 18739, playsFor, 118772 18739, playsFor, 36151 47280, hasGender, 118104 47280, isAffiliatedTo, 118772 47280, playsFor, 118772 79944, hasGender, 118104 79944, isAffiliatedTo, 118772 79944, playsFor, 118772 72557, hasGender, 118104 72557, isAffiliatedTo, 118772 72557, isAffiliatedTo, 103980 72557, playsFor, 118772 72557, playsFor, 103980 77641, hasGender, 118104 77641, isAffiliatedTo, 62376 77641, isAffiliatedTo, 118772 77641, isAffiliatedTo, 103980 77641, playsFor, 62376 77641, playsFor, 118772 77641, playsFor, 103980 10693, hasGender, 118104 10693, isAffiliatedTo, 80851 10693, isAffiliatedTo, 117309 10693, isAffiliatedTo, 118772 10693, playsFor, 80851 10693, playsFor, 117309 10693, playsFor, 118772 29906, hasGender, 118104 29906, isAffiliatedTo, 118772 29906, isAffiliatedTo, 103980 29906, playsFor, 118772 29906, playsFor, 103980 6161, hasGender, 118104 6161, isAffiliatedTo, 118772 6161, playsFor, 118772 45623, hasGender, 118104 45623, isAffiliatedTo, 118772 45541, hasGender, 118104 45541, isAffiliatedTo, 117309 45541, isAffiliatedTo, 118772 45541, isAffiliatedTo, 103980 45541, playsFor, 117309 45541, playsFor, 118772 45541, playsFor, 103980 11389, hasGender, 118104 11389, isAffiliatedTo, 118772 11389, playsFor, 118772 101187, hasGender, 118104 101187, isAffiliatedTo, 118772 101187, playsFor, 118772 100874, hasGender, 118104 100874, isAffiliatedTo, 118772 100874, playsFor, 118772 52485, hasGender, 118104 52485, isAffiliatedTo, 3147 52485, playsFor, 118772 52485, playsFor, 3147 76072, hasGender, 118104 76072, isAffiliatedTo, 19605 76072, playsFor, 73697 76072, playsFor, 118772 76072, playsFor, 19605 41686, hasGender, 118104 41686, isAffiliatedTo, 118772 41686, playsFor, 118772 25970, hasGender, 118104 25970, isAffiliatedTo, 118772 25970, isAffiliatedTo, 111053 25970, playsFor, 118772 25970, playsFor, 111053 Question: For what reason are FC_Irtysh_Pavlodar and Miguel_Villalta associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "FC_Irtysh_Pavlodar", "Miguel_Villalta" ], "valid_edges": [ [ "Aidar_Kumisbekov", "hasGender", "male" ], [ "Aidar_Kumisbekov", "isAffiliatedTo", "FC_Astana" ], [ "Aidar_Kumisbekov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Aidar_Kumisbekov", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Aidar_Kumisbekov", "playsFor", "FC_Astana" ], [ "Aidar_Kumisbekov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Aidar_Kumisbekov", "playsFor", "Kazakhstan_national_football_team" ], [ "Aleksandar_Vasiljević_(footballer)", "hasGender", "male" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Leotar" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Mladi_Radnik" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Sevojno" ], [ "Aleksandr_Familtsev", "hasGender", "male" ], [ "Aleksandr_Familtsev", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Aleksandr_Familtsev", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Aleksandr_Familtsev", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Aleksandr_Familtsev", "playsFor", "Kazakhstan_national_football_team" ], [ "Aleksandr_Kuchma", "hasGender", "male" ], [ "Aleksandr_Kuchma", "isAffiliatedTo", "FC_Astana" ], [ "Aleksandr_Kuchma", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Aleksandr_Kuchma", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Aleksandr_Kuchma", "playsFor", "FC_Astana" ], [ "Aleksandr_Kuchma", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Ali_Aliyev_(footballer)", "hasGender", "male" ], [ "Ali_Aliyev_(footballer)", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Ali_Aliyev_(footballer)", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Ali_Aliyev_(footballer)", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Ali_Aliyev_(footballer)", "playsFor", "Kazakhstan_national_football_team" ], [ "Alier_Ashurmamadov", "hasGender", "male" ], [ "Alier_Ashurmamadov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Alier_Ashurmamadov", "isAffiliatedTo", "FC_Lokomotiv_Moscow" ], [ "Alier_Ashurmamadov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Alier_Ashurmamadov", "playsFor", "FC_Lokomotiv_Moscow" ], [ "Almir_Mukhutdinov", "hasGender", "male" ], [ "Almir_Mukhutdinov", "playsFor", "FC_Gazovik_Orenburg" ], [ "Almir_Mukhutdinov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Almir_Mukhutdinov", "playsFor", "FC_Krasnodar" ], [ "Almir_Mukhutdinov", "playsFor", "FC_Volgar_Astrakhan" ], [ "Alyaksandr_Kulchy", "hasGender", "male" ], [ "Alyaksandr_Kulchy", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Alyaksandr_Kulchy", "isAffiliatedTo", "FC_Krasnodar" ], [ "Alyaksandr_Kulchy", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Alyaksandr_Kulchy", "playsFor", "FC_Krasnodar" ], [ "Anatolie_Doroș", "isAffiliatedTo", "FC_Astana" ], [ "Anatolie_Doroș", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Anatolie_Doroș", "playsFor", "FC_Astana" ], [ "Anatolie_Doroș", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Andrei_Karpovich", "hasGender", "male" ], [ "Andrei_Karpovich", "isAffiliatedTo", "FC_Astana" ], [ "Andrei_Karpovich", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Andrei_Karpovich", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Andrei_Karpovich", "playsFor", "FC_Astana" ], [ "Andrei_Karpovich", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Andrei_Karpovich", "playsFor", "Kazakhstan_national_football_team" ], [ "Andrius_Velička", "hasGender", "male" ], [ "Andrius_Velička", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Andrius_Velička", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Andriy_Annenkov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Andriy_Annenkov", "playsFor", "FC_Dnipro_Dnipropetrovsk" ], [ "Andriy_Annenkov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Anton_Sakharov", "hasGender", "male" ], [ "Anton_Sakharov", "isAffiliatedTo", "FC_Gazovik_Orenburg" ], [ "Anton_Sakharov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Anton_Sakharov", "playsFor", "FC_Gazovik_Orenburg" ], [ "Anton_Sakharov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Bojan_Simić", "hasGender", "male" ], [ "Bojan_Simić", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Bojan_Simić", "playsFor", "FK_Leotar" ], [ "Bojan_Simić", "playsFor", "FK_Mladi_Radnik" ], [ "Bojan_Simić", "playsFor", "FK_Sevojno" ], [ "Darko_Maletić", "hasGender", "male" ], [ "Darko_Maletić", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Darko_Maletić", "playsFor", "FC_Irtysh_Pavlodar" ], [ "David_Loria", "hasGender", "male" ], [ "David_Loria", "isAffiliatedTo", "FC_Astana" ], [ "David_Loria", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "David_Loria", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "David_Loria", "playsFor", "FC_Astana" ], [ "David_Loria", "playsFor", "FC_Irtysh_Pavlodar" ], [ "David_Loria", "playsFor", "Kazakhstan_national_football_team" ], [ "Denis_Malinin", "hasGender", "male" ], [ "Denis_Malinin", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Denis_Malinin", "playsFor", "FC_Lokomotiv_Moscow" ], [ "Denis_Malinin", "playsFor", "FC_Zhemchuzhina-Sochi" ], [ "Denis_Malinin", "playsFor", "FK_Vėtra" ], [ "Denis_Malinin", "playsFor", "Kazakhstan_national_football_team" ], [ "Dias_Kamelov", "hasGender", "male" ], [ "Dias_Kamelov", "isAffiliatedTo", "FC_Astana" ], [ "Dias_Kamelov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Dias_Kamelov", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Dias_Kamelov", "playsFor", "FC_Astana" ], [ "Dias_Kamelov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Dias_Kamelov", "playsFor", "Kazakhstan_national_football_team" ], [ "Didargylyç_Urazow", "hasGender", "male" ], [ "Didargylyç_Urazow", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Didargylyç_Urazow", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Dimitar_Nakov", "hasGender", "male" ], [ "Dimitar_Nakov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Dimitar_Nakov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Dmitri_Shomko", "hasGender", "male" ], [ "Dmitri_Shomko", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Dmitri_Shomko", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Dmitri_Shomko", "playsFor", "FC_Astana" ], [ "Dmitri_Shomko", "playsFor", "FC_Ekibastuzets" ], [ "Dmitri_Shomko", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Dmitri_Shomko", "playsFor", "Kazakhstan_national_football_team" ], [ "Dmitri_Shomko", "playsFor", "Kazakhstan_national_under-21_football_team" ], [ "Eduard_Ratnikov", "hasGender", "male" ], [ "Eduard_Ratnikov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Eduard_Ratnikov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Eduard_Sergienko", "hasGender", "male" ], [ "Eduard_Sergienko", "isAffiliatedTo", "FC_Astana" ], [ "Eduard_Sergienko", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Eduard_Sergienko", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Eduard_Sergienko", "isAffiliatedTo", "Kazakhstan_national_under-21_football_team" ], [ "Eduard_Sergienko", "playsFor", "FC_Astana" ], [ "Eduard_Sergienko", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Eduard_Sergienko", "playsFor", "Kazakhstan_national_football_team" ], [ "Eduard_Sergienko", "playsFor", "Kazakhstan_national_under-21_football_team" ], [ "Egidijus_Juška", "hasGender", "male" ], [ "Egidijus_Juška", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Egidijus_Juška", "isAffiliatedTo", "FK_Vėtra" ], [ "Egidijus_Juška", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Egidijus_Juška", "playsFor", "FK_Vėtra" ], [ "Farkhadbek_Irismetov", "hasGender", "male" ], [ "Farkhadbek_Irismetov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Farkhadbek_Irismetov", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Farkhadbek_Irismetov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Farkhadbek_Irismetov", "playsFor", "Kazakhstan_national_football_team" ], [ "Fevzi_Davletov", "hasGender", "male" ], [ "Fevzi_Davletov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Georgi_Daskalov", "hasGender", "male" ], [ "Georgi_Daskalov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Georgi_Daskalov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Goran_Bošković_(footballer_born_1976)", "hasGender", "male" ], [ "Goran_Bošković_(footballer_born_1976)", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Goçguly_Goçgulyýew", "hasGender", "male" ], [ "Goçguly_Goçgulyýew", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Goçguly_Goçgulyýew", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Igor_Burzanović", "hasGender", "male" ], [ "Igor_Burzanović", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Igor_Burzanović", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Ihor_Chuchman", "hasGender", "male" ], [ "Ihor_Chuchman", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Ihor_Chuchman", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Ihor_Chuchman", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Ihor_Chuchman", "playsFor", "Kazakhstan_national_football_team" ], [ "Ihor_Chumachenko", "hasGender", "male" ], [ "Ihor_Chumachenko", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Kairat_Nurdauletov", "isAffiliatedTo", "FC_Astana" ], [ "Kairat_Nurdauletov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Kairat_Nurdauletov", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Kairat_Nurdauletov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Kairat_Nurdauletov", "playsFor", "Kazakhstan_national_football_team" ], [ "Konstantin_Yeryomenko", "hasGender", "male" ], [ "Konstantin_Yeryomenko", "playsFor", "FC_Alga_Bishkek" ], [ "Konstantin_Yeryomenko", "playsFor", "FC_Dnipro_Dnipropetrovsk" ], [ "Konstantin_Yeryomenko", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Leonid_Kovel", "hasGender", "male" ], [ "Leonid_Kovel", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Leonid_Kovel", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Maksat_Baizhanov", "hasGender", "male" ], [ "Maksat_Baizhanov", "isAffiliatedTo", "FC_Astana" ], [ "Maksat_Baizhanov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Maksat_Baizhanov", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Maksat_Baizhanov", "isAffiliatedTo", "Kazakhstan_national_under-21_football_team" ], [ "Maksat_Baizhanov", "playsFor", "FC_Astana" ], [ "Maksat_Baizhanov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Maksat_Baizhanov", "playsFor", "Kazakhstan_national_football_team" ], [ "Maksat_Baizhanov", "playsFor", "Kazakhstan_national_under-21_football_team" ], [ "Maksim_Zhalmagambetov", "hasGender", "male" ], [ "Maksim_Zhalmagambetov", "isAffiliatedTo", "FC_Astana" ], [ "Maksim_Zhalmagambetov", "isAffiliatedTo", "FC_Ekibastuzets" ], [ "Maksim_Zhalmagambetov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Maksim_Zhalmagambetov", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Maksim_Zhalmagambetov", "playsFor", "FC_Astana" ], [ "Maksim_Zhalmagambetov", "playsFor", "FC_Ekibastuzets" ], [ "Maksim_Zhalmagambetov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Maksim_Zhalmagambetov", "playsFor", "Kazakhstan_national_football_team" ], [ "Mamoutou_Coulibaly", "hasGender", "male" ], [ "Mamoutou_Coulibaly", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Mamoutou_Coulibaly", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Miguel_Villalta", "hasGender", "male" ], [ "Milan_Nikolić_(footballer_born_1983)", "hasGender", "male" ], [ "Milan_Nikolić_(footballer_born_1983)", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Miodrag_Anđelković", "hasGender", "male" ], [ "Miodrag_Anđelković", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Miodrag_Anđelković", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Murat_Tleshev", "hasGender", "male" ], [ "Murat_Tleshev", "isAffiliatedTo", "FC_Astana" ], [ "Murat_Tleshev", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Murat_Tleshev", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Murat_Tleshev", "playsFor", "FC_Astana" ], [ "Murat_Tleshev", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Murat_Tleshev", "playsFor", "Kazakhstan_national_football_team" ], [ "Nilton_Pereira_Mendes", "hasGender", "male" ], [ "Nilton_Pereira_Mendes", "isAffiliatedTo", "FC_Zhemchuzhina-Sochi" ], [ "Nilton_Pereira_Mendes", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Nilton_Pereira_Mendes", "playsFor", "FC_Zhemchuzhina-Sochi" ], [ "Oleg_Veretennikov", "hasGender", "male" ], [ "Oleg_Veretennikov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Oleg_Veretennikov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Orlin_Starokin", "hasGender", "male" ], [ "Orlin_Starokin", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Orlin_Starokin", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Sabyrkhan_Ibraev", "hasGender", "male" ], [ "Sabyrkhan_Ibraev", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Sabyrkhan_Ibraev", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Sabyrkhan_Ibraev", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Sabyrkhan_Ibraev", "playsFor", "Kazakhstan_national_football_team" ], [ "Samat_Smakov", "hasGender", "male" ], [ "Samat_Smakov", "isAffiliatedTo", "FC_Astana" ], [ "Samat_Smakov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Samat_Smakov", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Samat_Smakov", "playsFor", "FC_Astana" ], [ "Samat_Smakov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Samat_Smakov", "playsFor", "Kazakhstan_national_football_team" ], [ "Sergei_Ivanov_(footballer_born_1980)", "hasGender", "male" ], [ "Sergei_Ivanov_(footballer_born_1980)", "isAffiliatedTo", "FC_Alga_Bishkek" ], [ "Sergei_Ivanov_(footballer_born_1980)", "isAffiliatedTo", "FC_Ekibastuzets" ], [ "Sergei_Ivanov_(footballer_born_1980)", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Sergei_Ivanov_(footballer_born_1980)", "playsFor", "FC_Alga_Bishkek" ], [ "Sergei_Ivanov_(footballer_born_1980)", "playsFor", "FC_Ekibastuzets" ], [ "Sergei_Ivanov_(footballer_born_1980)", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Sergei_Skorykh", "hasGender", "male" ], [ "Sergei_Skorykh", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Sergei_Skorykh", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Sergei_Skorykh", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Sergei_Skorykh", "playsFor", "Kazakhstan_national_football_team" ], [ "Sergei_Strukov", "hasGender", "male" ], [ "Sergei_Strukov", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Sergei_Strukov", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Sergei_Volgin", "hasGender", "male" ], [ "Sergei_Volgin", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Sergey_Timofeev", "hasGender", "male" ], [ "Sergey_Timofeev", "isAffiliatedTo", "FC_Ekibastuzets" ], [ "Sergey_Timofeev", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Sergey_Timofeev", "isAffiliatedTo", "Kazakhstan_national_football_team" ], [ "Sergey_Timofeev", "playsFor", "FC_Ekibastuzets" ], [ "Sergey_Timofeev", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Sergey_Timofeev", "playsFor", "Kazakhstan_national_football_team" ], [ "Serhiy_Skachenko", "hasGender", "male" ], [ "Serhiy_Skachenko", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Serhiy_Skachenko", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Slavi_Kostenski", "hasGender", "male" ], [ "Slavi_Kostenski", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Slavi_Kostenski", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Ulugbek_Bakayev", "hasGender", "male" ], [ "Ulugbek_Bakayev", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Ulugbek_Bakayev", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Veaceslav_Sofroni", "hasGender", "male" ], [ "Veaceslav_Sofroni", "isAffiliatedTo", "FK_Vėtra" ], [ "Veaceslav_Sofroni", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Veaceslav_Sofroni", "playsFor", "FK_Vėtra" ], [ "Vladimir_Shevchuk", "hasGender", "male" ], [ "Vladimir_Shevchuk", "isAffiliatedTo", "FC_Lokomotiv_Moscow" ], [ "Vladimir_Shevchuk", "playsFor", "FC_Dnipro_Dnipropetrovsk" ], [ "Vladimir_Shevchuk", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Vladimir_Shevchuk", "playsFor", "FC_Lokomotiv_Moscow" ], [ "Vladislav_Mirchev", "hasGender", "male" ], [ "Vladislav_Mirchev", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Vladislav_Mirchev", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Vladislav_Ternavsky", "hasGender", "male" ], [ "Vladislav_Ternavsky", "isAffiliatedTo", "FC_Irtysh_Pavlodar" ], [ "Vladislav_Ternavsky", "isAffiliatedTo", "FC_Volgar_Astrakhan" ], [ "Vladislav_Ternavsky", "playsFor", "FC_Irtysh_Pavlodar" ], [ "Vladislav_Ternavsky", "playsFor", "FC_Volgar_Astrakhan" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 110577, Caen 74118, Cédric_Duchesne 111744, Europe 64592, France 102711, Raiguer src, edge_attr, dst 110577, isLocatedIn, 64592 74118, wasBornIn, 110577 64592, hasCapital, 110577 64592, isLocatedIn, 111744 102711, isLocatedIn, 111744 Question: For what reason are Cédric_Duchesne and Raiguer associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Cédric_Duchesne", "Raiguer" ], "valid_edges": [ [ "Caen", "isLocatedIn", "France" ], [ "Cédric_Duchesne", "wasBornIn", "Caen" ], [ "France", "hasCapital", "Caen" ], [ "France", "isLocatedIn", "Europe" ], [ "Raiguer", "isLocatedIn", "Europe" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 105063, Ezequiel_Maggiolo 37045, Indios_de_Ciudad_Juárez 97210, Los_Andes_de_Lomas_de_Zamora 44483, Omar_Enrique_Mallea 34499, Óscar_Emilio_Rojas src, edge_attr, dst 105063, isAffiliatedTo, 37045 105063, isAffiliatedTo, 97210 105063, playsFor, 37045 105063, playsFor, 97210 44483, isAffiliatedTo, 97210 44483, playsFor, 97210 34499, isAffiliatedTo, 37045 34499, playsFor, 37045 Question: How are Omar_Enrique_Mallea and Óscar_Emilio_Rojas related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Omar_Enrique_Mallea", "Óscar_Emilio_Rojas" ], "valid_edges": [ [ "Ezequiel_Maggiolo", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Ezequiel_Maggiolo", "isAffiliatedTo", "Los_Andes_de_Lomas_de_Zamora" ], [ "Ezequiel_Maggiolo", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Ezequiel_Maggiolo", "playsFor", "Los_Andes_de_Lomas_de_Zamora" ], [ "Omar_Enrique_Mallea", "isAffiliatedTo", "Los_Andes_de_Lomas_de_Zamora" ], [ "Omar_Enrique_Mallea", "playsFor", "Los_Andes_de_Lomas_de_Zamora" ], [ "Óscar_Emilio_Rojas", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Óscar_Emilio_Rojas", "playsFor", "Indios_de_Ciudad_Juárez" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 115668, Aleksandar_Dragović 32490, Andreas_Dober 118014, Andreas_Tiffner 109548, Atdhe_Nuhiu 59637, Austria_national_football_team 111993, Austria_national_under-17_football_team 24733, Austria_national_under-19_football_team 108828, Austria_national_under-21_football_team 62079, Butrint_Vishaj 69789, Christoph_Knasmüllner 53038, Christoph_Kobleder 57788, Christopher_Dibon 52663, Daniel_Sikorski 105194, Daniel_Toth 66594, David_Alaba 114991, Dominic_Pürcher 113192, Dominik_Starkl 25544, Erwin_Hoffer 27207, F.C._Red_Bull_Salzburg 114433, FC_Red_Bull_Salzburg 10892, FK_Austria_Wien 7057, First_Vienna_FC 88181, Florian_Hart 83108, Georg_Margreitter 115219, Haris_Bukva 75180, Julius_Perstaller 39520, L.A.S.K._Linz 99421, LASK_Linz 9127, Marc_Sand 61840, Marco_Djuricin 50376, Marco_Meilinger 1900, Mark_Prettenthaler 112233, Marko_Arnautović 47002, Martin_Harnik 26, Martin_Pušić 48727, Michael_Stanislaw 17217, Raphael_Holzhauser 65992, Rubin_Okotie 38581, SK_Austria_Klagenfurt_(2007) 39265, SK_Rapid_Wien 15485, SV_Grödig 118207, SV_Ried 12543, Sebastian_Prödl 18245, Stefan_Ilsanker_(footballer) 5544, Stefan_Kulovits 122557, Stephan_Palla 52238, SønderjyskE 29262, Thomas_Prager 82691, Vienna 24863, Winston_DuBose 21438, Yasin_Pehlivan 31068, Zlatko_Junuzović 118104, male src, edge_attr, dst 115668, hasGender, 118104 115668, isAffiliatedTo, 59637 115668, isAffiliatedTo, 10892 115668, playsFor, 59637 115668, playsFor, 111993 115668, playsFor, 24733 115668, playsFor, 10892 115668, wasBornIn, 82691 32490, hasGender, 118104 32490, isAffiliatedTo, 59637 32490, isAffiliatedTo, 111993 32490, isAffiliatedTo, 24733 32490, isAffiliatedTo, 108828 32490, isAffiliatedTo, 7057 32490, isAffiliatedTo, 39265 32490, playsFor, 7057 32490, playsFor, 39265 32490, wasBornIn, 82691 118014, hasGender, 118104 118014, playsFor, 59637 118014, playsFor, 24733 118014, playsFor, 108828 118014, playsFor, 114433 118014, playsFor, 10892 118014, playsFor, 7057 118014, playsFor, 38581 109548, hasGender, 118104 109548, isAffiliatedTo, 24733 109548, isAffiliatedTo, 108828 109548, isAffiliatedTo, 39265 109548, isAffiliatedTo, 118207 109548, playsFor, 24733 109548, playsFor, 108828 109548, playsFor, 39265 109548, playsFor, 118207 62079, hasGender, 118104 62079, isAffiliatedTo, 108828 62079, playsFor, 24733 62079, playsFor, 108828 69789, hasGender, 118104 69789, isAffiliatedTo, 10892 69789, playsFor, 24733 69789, playsFor, 10892 69789, wasBornIn, 82691 53038, isAffiliatedTo, 27207 53038, isAffiliatedTo, 39520 53038, playsFor, 59637 53038, playsFor, 24733 53038, playsFor, 99421 57788, hasGender, 118104 57788, isAffiliatedTo, 59637 57788, isAffiliatedTo, 108828 57788, isAffiliatedTo, 27207 57788, playsFor, 59637 57788, playsFor, 24733 57788, playsFor, 108828 57788, playsFor, 114433 57788, playsFor, 39265 52663, hasGender, 118104 52663, isAffiliatedTo, 24733 52663, isAffiliatedTo, 108828 52663, playsFor, 24733 52663, playsFor, 108828 105194, hasGender, 118104 105194, isAffiliatedTo, 24733 105194, isAffiliatedTo, 108828 105194, isAffiliatedTo, 118207 105194, playsFor, 24733 105194, playsFor, 108828 105194, playsFor, 118207 105194, wasBornIn, 82691 66594, hasGender, 118104 66594, isAffiliatedTo, 59637 66594, isAffiliatedTo, 108828 66594, isAffiliatedTo, 10892 66594, playsFor, 111993 66594, playsFor, 24733 66594, playsFor, 108828 66594, playsFor, 10892 66594, wasBornIn, 82691 114991, isAffiliatedTo, 15485 114991, playsFor, 24733 114991, playsFor, 108828 114991, playsFor, 15485 113192, hasGender, 118104 113192, isAffiliatedTo, 39265 113192, playsFor, 24733 113192, playsFor, 108828 113192, playsFor, 39265 25544, hasGender, 118104 25544, isAffiliatedTo, 59637 25544, isAffiliatedTo, 111993 25544, isAffiliatedTo, 24733 25544, isAffiliatedTo, 108828 25544, isAffiliatedTo, 39265 25544, playsFor, 111993 25544, playsFor, 24733 25544, playsFor, 39265 88181, hasGender, 118104 88181, isAffiliatedTo, 108828 88181, isAffiliatedTo, 39520 88181, playsFor, 111993 88181, playsFor, 24733 88181, playsFor, 108828 88181, playsFor, 99421 88181, playsFor, 15485 88181, playsFor, 52238 83108, hasGender, 118104 83108, isAffiliatedTo, 24733 83108, isAffiliatedTo, 108828 83108, isAffiliatedTo, 10892 83108, isAffiliatedTo, 39520 83108, isAffiliatedTo, 99421 83108, playsFor, 10892 83108, playsFor, 99421 115219, hasGender, 118104 115219, isAffiliatedTo, 24733 115219, isAffiliatedTo, 108828 115219, isAffiliatedTo, 39520 115219, isAffiliatedTo, 99421 115219, playsFor, 108828 115219, playsFor, 99421 75180, hasGender, 118104 75180, isAffiliatedTo, 108828 75180, playsFor, 24733 75180, playsFor, 108828 75180, playsFor, 118207 9127, hasGender, 118104 9127, isAffiliatedTo, 24733 9127, isAffiliatedTo, 108828 9127, isAffiliatedTo, 10892 9127, isAffiliatedTo, 38581 9127, playsFor, 10892 9127, playsFor, 38581 61840, hasGender, 118104 61840, isAffiliatedTo, 10892 61840, isAffiliatedTo, 39265 61840, playsFor, 59637 61840, playsFor, 24733 61840, playsFor, 10892 61840, wasBornIn, 82691 50376, hasGender, 118104 50376, isAffiliatedTo, 27207 50376, isAffiliatedTo, 118207 50376, playsFor, 24733 50376, playsFor, 114433 50376, playsFor, 10892 50376, playsFor, 118207 1900, isAffiliatedTo, 24733 1900, isAffiliatedTo, 39520 1900, isAffiliatedTo, 99421 1900, isAffiliatedTo, 118207 1900, playsFor, 99421 1900, playsFor, 118207 112233, hasGender, 118104 112233, isAffiliatedTo, 59637 112233, isAffiliatedTo, 24733 112233, isAffiliatedTo, 108828 112233, isAffiliatedTo, 10892 112233, isAffiliatedTo, 7057 112233, isAffiliatedTo, 39265 112233, playsFor, 24733 112233, playsFor, 108828 112233, playsFor, 10892 112233, playsFor, 7057 112233, wasBornIn, 82691 47002, hasGender, 118104 47002, isAffiliatedTo, 59637 47002, isAffiliatedTo, 24733 47002, isAffiliatedTo, 108828 47002, playsFor, 24733 47002, playsFor, 108828 26, hasGender, 118104 26, playsFor, 24733 26, playsFor, 10892 26, playsFor, 7057 48727, playsFor, 24733 48727, playsFor, 108828 17217, hasGender, 118104 17217, isAffiliatedTo, 108828 17217, isAffiliatedTo, 39265 17217, playsFor, 59637 17217, playsFor, 111993 17217, playsFor, 24733 17217, playsFor, 39265 65992, hasGender, 118104 65992, isAffiliatedTo, 59637 65992, isAffiliatedTo, 24733 65992, isAffiliatedTo, 108828 65992, isAffiliatedTo, 10892 65992, isAffiliatedTo, 39265 65992, isAffiliatedTo, 52238 65992, playsFor, 24733 65992, playsFor, 108828 65992, playsFor, 10892 65992, playsFor, 39265 65992, playsFor, 52238 12543, hasGender, 118104 12543, isAffiliatedTo, 59637 12543, isAffiliatedTo, 24733 12543, playsFor, 59637 18245, hasGender, 118104 18245, isAffiliatedTo, 27207 18245, playsFor, 59637 18245, playsFor, 24733 18245, playsFor, 108828 18245, playsFor, 114433 5544, hasGender, 118104 5544, isAffiliatedTo, 59637 5544, isAffiliatedTo, 111993 5544, isAffiliatedTo, 24733 5544, isAffiliatedTo, 108828 5544, isAffiliatedTo, 39265 5544, playsFor, 39265 5544, wasBornIn, 82691 122557, hasGender, 118104 122557, isAffiliatedTo, 39265 122557, playsFor, 111993 122557, playsFor, 24733 122557, playsFor, 39265 29262, hasGender, 118104 29262, isAffiliatedTo, 59637 29262, isAffiliatedTo, 24733 29262, isAffiliatedTo, 108828 29262, isAffiliatedTo, 10892 29262, isAffiliatedTo, 39520 29262, isAffiliatedTo, 99421 29262, isAffiliatedTo, 39265 29262, playsFor, 99421 29262, playsFor, 39265 29262, wasBornIn, 82691 24863, hasGender, 118104 21438, hasGender, 118104 21438, isAffiliatedTo, 59637 21438, isAffiliatedTo, 108828 21438, isAffiliatedTo, 39265 21438, playsFor, 59637 21438, playsFor, 24733 21438, playsFor, 108828 21438, playsFor, 7057 21438, playsFor, 39265 21438, wasBornIn, 82691 31068, hasGender, 118104 31068, isAffiliatedTo, 59637 31068, isAffiliatedTo, 24733 31068, isAffiliatedTo, 108828 31068, isAffiliatedTo, 10892 31068, playsFor, 24733 31068, playsFor, 108828 31068, playsFor, 10892 Question: How are Austria_national_under-19_football_team and Winston_DuBose related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Austria_national_under-19_football_team", "Winston_DuBose" ], "valid_edges": [ [ "Aleksandar_Dragović", "hasGender", "male" ], [ "Aleksandar_Dragović", "isAffiliatedTo", "Austria_national_football_team" ], [ "Aleksandar_Dragović", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Aleksandar_Dragović", "playsFor", "Austria_national_football_team" ], [ "Aleksandar_Dragović", "playsFor", "Austria_national_under-17_football_team" ], [ "Aleksandar_Dragović", "playsFor", "Austria_national_under-19_football_team" ], [ "Aleksandar_Dragović", "playsFor", "FK_Austria_Wien" ], [ "Aleksandar_Dragović", "wasBornIn", "Vienna" ], [ "Andreas_Dober", "hasGender", "male" ], [ "Andreas_Dober", "isAffiliatedTo", "Austria_national_football_team" ], [ "Andreas_Dober", "isAffiliatedTo", "Austria_national_under-17_football_team" ], [ "Andreas_Dober", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Andreas_Dober", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Andreas_Dober", "isAffiliatedTo", "First_Vienna_FC" ], [ "Andreas_Dober", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Andreas_Dober", "playsFor", "First_Vienna_FC" ], [ "Andreas_Dober", "playsFor", "SK_Rapid_Wien" ], [ "Andreas_Dober", "wasBornIn", "Vienna" ], [ "Andreas_Tiffner", "hasGender", "male" ], [ "Andreas_Tiffner", "playsFor", "Austria_national_football_team" ], [ "Andreas_Tiffner", "playsFor", "Austria_national_under-19_football_team" ], [ "Andreas_Tiffner", "playsFor", "Austria_national_under-21_football_team" ], [ "Andreas_Tiffner", "playsFor", "FC_Red_Bull_Salzburg" ], [ "Andreas_Tiffner", "playsFor", "FK_Austria_Wien" ], [ "Andreas_Tiffner", "playsFor", "First_Vienna_FC" ], [ "Andreas_Tiffner", "playsFor", "SK_Austria_Klagenfurt_(2007)" ], [ "Atdhe_Nuhiu", "hasGender", "male" ], [ "Atdhe_Nuhiu", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Atdhe_Nuhiu", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Atdhe_Nuhiu", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Atdhe_Nuhiu", "isAffiliatedTo", "SV_Ried" ], [ "Atdhe_Nuhiu", "playsFor", "Austria_national_under-19_football_team" ], [ "Atdhe_Nuhiu", "playsFor", "Austria_national_under-21_football_team" ], [ "Atdhe_Nuhiu", "playsFor", "SK_Rapid_Wien" ], [ "Atdhe_Nuhiu", "playsFor", "SV_Ried" ], [ "Butrint_Vishaj", "hasGender", "male" ], [ "Butrint_Vishaj", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Butrint_Vishaj", "playsFor", "Austria_national_under-19_football_team" ], [ "Butrint_Vishaj", "playsFor", "Austria_national_under-21_football_team" ], [ "Christoph_Knasmüllner", "hasGender", "male" ], [ "Christoph_Knasmüllner", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Christoph_Knasmüllner", "playsFor", "Austria_national_under-19_football_team" ], [ "Christoph_Knasmüllner", "playsFor", "FK_Austria_Wien" ], [ "Christoph_Knasmüllner", "wasBornIn", "Vienna" ], [ "Christoph_Kobleder", "isAffiliatedTo", "F.C._Red_Bull_Salzburg" ], [ "Christoph_Kobleder", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Christoph_Kobleder", "playsFor", "Austria_national_football_team" ], [ "Christoph_Kobleder", "playsFor", "Austria_national_under-19_football_team" ], [ "Christoph_Kobleder", "playsFor", "LASK_Linz" ], [ "Christopher_Dibon", "hasGender", "male" ], [ "Christopher_Dibon", "isAffiliatedTo", "Austria_national_football_team" ], [ "Christopher_Dibon", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Christopher_Dibon", "isAffiliatedTo", "F.C._Red_Bull_Salzburg" ], [ "Christopher_Dibon", "playsFor", "Austria_national_football_team" ], [ "Christopher_Dibon", "playsFor", "Austria_national_under-19_football_team" ], [ "Christopher_Dibon", "playsFor", "Austria_national_under-21_football_team" ], [ "Christopher_Dibon", "playsFor", "FC_Red_Bull_Salzburg" ], [ "Christopher_Dibon", "playsFor", "SK_Rapid_Wien" ], [ "Daniel_Sikorski", "hasGender", "male" ], [ "Daniel_Sikorski", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Daniel_Sikorski", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Daniel_Sikorski", "playsFor", "Austria_national_under-19_football_team" ], [ "Daniel_Sikorski", "playsFor", "Austria_national_under-21_football_team" ], [ "Daniel_Toth", "hasGender", "male" ], [ "Daniel_Toth", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Daniel_Toth", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Daniel_Toth", "isAffiliatedTo", "SV_Ried" ], [ "Daniel_Toth", "playsFor", "Austria_national_under-19_football_team" ], [ "Daniel_Toth", "playsFor", "Austria_national_under-21_football_team" ], [ "Daniel_Toth", "playsFor", "SV_Ried" ], [ "Daniel_Toth", "wasBornIn", "Vienna" ], [ "David_Alaba", "hasGender", "male" ], [ "David_Alaba", "isAffiliatedTo", "Austria_national_football_team" ], [ "David_Alaba", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "David_Alaba", "isAffiliatedTo", "FK_Austria_Wien" ], [ "David_Alaba", "playsFor", "Austria_national_under-17_football_team" ], [ "David_Alaba", "playsFor", "Austria_national_under-19_football_team" ], [ "David_Alaba", "playsFor", "Austria_national_under-21_football_team" ], [ "David_Alaba", "playsFor", "FK_Austria_Wien" ], [ "David_Alaba", "wasBornIn", "Vienna" ], [ "Dominic_Pürcher", "isAffiliatedTo", "SV_Grödig" ], [ "Dominic_Pürcher", "playsFor", "Austria_national_under-19_football_team" ], [ "Dominic_Pürcher", "playsFor", "Austria_national_under-21_football_team" ], [ "Dominic_Pürcher", "playsFor", "SV_Grödig" ], [ "Dominik_Starkl", "hasGender", "male" ], [ "Dominik_Starkl", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Dominik_Starkl", "playsFor", "Austria_national_under-19_football_team" ], [ "Dominik_Starkl", "playsFor", "Austria_national_under-21_football_team" ], [ "Dominik_Starkl", "playsFor", "SK_Rapid_Wien" ], [ "Erwin_Hoffer", "hasGender", "male" ], [ "Erwin_Hoffer", "isAffiliatedTo", "Austria_national_football_team" ], [ "Erwin_Hoffer", "isAffiliatedTo", "Austria_national_under-17_football_team" ], [ "Erwin_Hoffer", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Erwin_Hoffer", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Erwin_Hoffer", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Erwin_Hoffer", "playsFor", "Austria_national_under-17_football_team" ], [ "Erwin_Hoffer", "playsFor", "Austria_national_under-19_football_team" ], [ "Erwin_Hoffer", "playsFor", "SK_Rapid_Wien" ], [ "Florian_Hart", "hasGender", "male" ], [ "Florian_Hart", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Florian_Hart", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Florian_Hart", "playsFor", "Austria_national_under-17_football_team" ], [ "Florian_Hart", "playsFor", "Austria_national_under-19_football_team" ], [ "Florian_Hart", "playsFor", "Austria_national_under-21_football_team" ], [ "Florian_Hart", "playsFor", "LASK_Linz" ], [ "Florian_Hart", "playsFor", "SV_Grödig" ], [ "Florian_Hart", "playsFor", "SønderjyskE" ], [ "Georg_Margreitter", "hasGender", "male" ], [ "Georg_Margreitter", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Georg_Margreitter", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Georg_Margreitter", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Georg_Margreitter", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Georg_Margreitter", "isAffiliatedTo", "LASK_Linz" ], [ "Georg_Margreitter", "playsFor", "FK_Austria_Wien" ], [ "Georg_Margreitter", "playsFor", "LASK_Linz" ], [ "Haris_Bukva", "hasGender", "male" ], [ "Haris_Bukva", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Haris_Bukva", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Haris_Bukva", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Haris_Bukva", "isAffiliatedTo", "LASK_Linz" ], [ "Haris_Bukva", "playsFor", "Austria_national_under-21_football_team" ], [ "Haris_Bukva", "playsFor", "LASK_Linz" ], [ "Julius_Perstaller", "hasGender", "male" ], [ "Julius_Perstaller", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Julius_Perstaller", "playsFor", "Austria_national_under-19_football_team" ], [ "Julius_Perstaller", "playsFor", "Austria_national_under-21_football_team" ], [ "Julius_Perstaller", "playsFor", "SV_Ried" ], [ "Marc_Sand", "hasGender", "male" ], [ "Marc_Sand", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Marc_Sand", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Marc_Sand", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Marc_Sand", "isAffiliatedTo", "SK_Austria_Klagenfurt_(2007)" ], [ "Marc_Sand", "playsFor", "FK_Austria_Wien" ], [ "Marc_Sand", "playsFor", "SK_Austria_Klagenfurt_(2007)" ], [ "Marco_Djuricin", "hasGender", "male" ], [ "Marco_Djuricin", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Marco_Djuricin", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Marco_Djuricin", "playsFor", "Austria_national_football_team" ], [ "Marco_Djuricin", "playsFor", "Austria_national_under-19_football_team" ], [ "Marco_Djuricin", "playsFor", "FK_Austria_Wien" ], [ "Marco_Djuricin", "wasBornIn", "Vienna" ], [ "Marco_Meilinger", "hasGender", "male" ], [ "Marco_Meilinger", "isAffiliatedTo", "F.C._Red_Bull_Salzburg" ], [ "Marco_Meilinger", "isAffiliatedTo", "SV_Ried" ], [ "Marco_Meilinger", "playsFor", "Austria_national_under-19_football_team" ], [ "Marco_Meilinger", "playsFor", "FC_Red_Bull_Salzburg" ], [ "Marco_Meilinger", "playsFor", "FK_Austria_Wien" ], [ "Marco_Meilinger", "playsFor", "SV_Ried" ], [ "Mark_Prettenthaler", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Mark_Prettenthaler", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Mark_Prettenthaler", "isAffiliatedTo", "LASK_Linz" ], [ "Mark_Prettenthaler", "isAffiliatedTo", "SV_Ried" ], [ "Mark_Prettenthaler", "playsFor", "LASK_Linz" ], [ "Mark_Prettenthaler", "playsFor", "SV_Ried" ], [ "Marko_Arnautović", "hasGender", "male" ], [ "Marko_Arnautović", "isAffiliatedTo", "Austria_national_football_team" ], [ "Marko_Arnautović", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Marko_Arnautović", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Marko_Arnautović", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Marko_Arnautović", "isAffiliatedTo", "First_Vienna_FC" ], [ "Marko_Arnautović", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Marko_Arnautović", "playsFor", "Austria_national_under-19_football_team" ], [ "Marko_Arnautović", "playsFor", "Austria_national_under-21_football_team" ], [ "Marko_Arnautović", "playsFor", "FK_Austria_Wien" ], [ "Marko_Arnautović", "playsFor", "First_Vienna_FC" ], [ "Marko_Arnautović", "wasBornIn", "Vienna" ], [ "Martin_Harnik", "hasGender", "male" ], [ "Martin_Harnik", "isAffiliatedTo", "Austria_national_football_team" ], [ "Martin_Harnik", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Martin_Harnik", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Martin_Harnik", "playsFor", "Austria_national_under-19_football_team" ], [ "Martin_Harnik", "playsFor", "Austria_national_under-21_football_team" ], [ "Martin_Pušić", "hasGender", "male" ], [ "Martin_Pušić", "playsFor", "Austria_national_under-19_football_team" ], [ "Martin_Pušić", "playsFor", "FK_Austria_Wien" ], [ "Martin_Pušić", "playsFor", "First_Vienna_FC" ], [ "Michael_Stanislaw", "playsFor", "Austria_national_under-19_football_team" ], [ "Michael_Stanislaw", "playsFor", "Austria_national_under-21_football_team" ], [ "Raphael_Holzhauser", "hasGender", "male" ], [ "Raphael_Holzhauser", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Raphael_Holzhauser", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Raphael_Holzhauser", "playsFor", "Austria_national_football_team" ], [ "Raphael_Holzhauser", "playsFor", "Austria_national_under-17_football_team" ], [ "Raphael_Holzhauser", "playsFor", "Austria_national_under-19_football_team" ], [ "Raphael_Holzhauser", "playsFor", "SK_Rapid_Wien" ], [ "Rubin_Okotie", "hasGender", "male" ], [ "Rubin_Okotie", "isAffiliatedTo", "Austria_national_football_team" ], [ "Rubin_Okotie", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Rubin_Okotie", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Rubin_Okotie", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Rubin_Okotie", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Rubin_Okotie", "isAffiliatedTo", "SønderjyskE" ], [ "Rubin_Okotie", "playsFor", "Austria_national_under-19_football_team" ], [ "Rubin_Okotie", "playsFor", "Austria_national_under-21_football_team" ], [ "Rubin_Okotie", "playsFor", "FK_Austria_Wien" ], [ "Rubin_Okotie", "playsFor", "SK_Rapid_Wien" ], [ "Rubin_Okotie", "playsFor", "SønderjyskE" ], [ "Sebastian_Prödl", "hasGender", "male" ], [ "Sebastian_Prödl", "isAffiliatedTo", "Austria_national_football_team" ], [ "Sebastian_Prödl", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Sebastian_Prödl", "playsFor", "Austria_national_football_team" ], [ "Stefan_Ilsanker_(footballer)", "hasGender", "male" ], [ "Stefan_Ilsanker_(footballer)", "isAffiliatedTo", "F.C._Red_Bull_Salzburg" ], [ "Stefan_Ilsanker_(footballer)", "playsFor", "Austria_national_football_team" ], [ "Stefan_Ilsanker_(footballer)", "playsFor", "Austria_national_under-19_football_team" ], [ "Stefan_Ilsanker_(footballer)", "playsFor", "Austria_national_under-21_football_team" ], [ "Stefan_Ilsanker_(footballer)", "playsFor", "FC_Red_Bull_Salzburg" ], [ "Stefan_Kulovits", "hasGender", "male" ], [ "Stefan_Kulovits", "isAffiliatedTo", "Austria_national_football_team" ], [ "Stefan_Kulovits", "isAffiliatedTo", "Austria_national_under-17_football_team" ], [ "Stefan_Kulovits", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Stefan_Kulovits", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Stefan_Kulovits", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Stefan_Kulovits", "playsFor", "SK_Rapid_Wien" ], [ "Stefan_Kulovits", "wasBornIn", "Vienna" ], [ "Stephan_Palla", "hasGender", "male" ], [ "Stephan_Palla", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Stephan_Palla", "playsFor", "Austria_national_under-17_football_team" ], [ "Stephan_Palla", "playsFor", "Austria_national_under-19_football_team" ], [ "Stephan_Palla", "playsFor", "SK_Rapid_Wien" ], [ "Thomas_Prager", "hasGender", "male" ], [ "Thomas_Prager", "isAffiliatedTo", "Austria_national_football_team" ], [ "Thomas_Prager", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Thomas_Prager", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Thomas_Prager", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Thomas_Prager", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Thomas_Prager", "isAffiliatedTo", "LASK_Linz" ], [ "Thomas_Prager", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Thomas_Prager", "playsFor", "LASK_Linz" ], [ "Thomas_Prager", "playsFor", "SK_Rapid_Wien" ], [ "Thomas_Prager", "wasBornIn", "Vienna" ], [ "Winston_DuBose", "hasGender", "male" ], [ "Yasin_Pehlivan", "hasGender", "male" ], [ "Yasin_Pehlivan", "isAffiliatedTo", "Austria_national_football_team" ], [ "Yasin_Pehlivan", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Yasin_Pehlivan", "isAffiliatedTo", "SK_Rapid_Wien" ], [ "Yasin_Pehlivan", "playsFor", "Austria_national_football_team" ], [ "Yasin_Pehlivan", "playsFor", "Austria_national_under-19_football_team" ], [ "Yasin_Pehlivan", "playsFor", "Austria_national_under-21_football_team" ], [ "Yasin_Pehlivan", "playsFor", "First_Vienna_FC" ], [ "Yasin_Pehlivan", "playsFor", "SK_Rapid_Wien" ], [ "Yasin_Pehlivan", "wasBornIn", "Vienna" ], [ "Zlatko_Junuzović", "hasGender", "male" ], [ "Zlatko_Junuzović", "isAffiliatedTo", "Austria_national_football_team" ], [ "Zlatko_Junuzović", "isAffiliatedTo", "Austria_national_under-19_football_team" ], [ "Zlatko_Junuzović", "isAffiliatedTo", "Austria_national_under-21_football_team" ], [ "Zlatko_Junuzović", "isAffiliatedTo", "FK_Austria_Wien" ], [ "Zlatko_Junuzović", "playsFor", "Austria_national_under-19_football_team" ], [ "Zlatko_Junuzović", "playsFor", "Austria_national_under-21_football_team" ], [ "Zlatko_Junuzović", "playsFor", "FK_Austria_Wien" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 92562, Amanda_Seyfried 118836, Bernardine_Dohrn 35069, Berwyn,_Illinois 60422, Chicago 17620, Chicago_metropolitan_area 79254, Cook_County,_Illinois 64657, Illinois 24838, Jane_Byrne 80384, female src, edge_attr, dst 92562, hasGender, 80384 118836, hasGender, 80384 118836, livesIn, 64657 35069, isLocatedIn, 79254 35069, isLocatedIn, 64657 60422, isLocatedIn, 79254 60422, isLocatedIn, 64657 17620, isLocatedIn, 35069 17620, isLocatedIn, 60422 17620, isLocatedIn, 64657 79254, isLocatedIn, 60422 79254, isLocatedIn, 17620 79254, isLocatedIn, 64657 64657, hasCapital, 60422 24838, hasGender, 80384 24838, livesIn, 64657 Question: In what context are Amanda_Seyfried and Berwyn,_Illinois connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Amanda_Seyfried", "Berwyn,_Illinois" ], "valid_edges": [ [ "Amanda_Seyfried", "hasGender", "female" ], [ "Bernardine_Dohrn", "hasGender", "female" ], [ "Bernardine_Dohrn", "livesIn", "Illinois" ], [ "Berwyn,_Illinois", "isLocatedIn", "Cook_County,_Illinois" ], [ "Berwyn,_Illinois", "isLocatedIn", "Illinois" ], [ "Chicago", "isLocatedIn", "Cook_County,_Illinois" ], [ "Chicago", "isLocatedIn", "Illinois" ], [ "Chicago_metropolitan_area", "isLocatedIn", "Berwyn,_Illinois" ], [ "Chicago_metropolitan_area", "isLocatedIn", "Chicago" ], [ "Chicago_metropolitan_area", "isLocatedIn", "Illinois" ], [ "Cook_County,_Illinois", "isLocatedIn", "Chicago" ], [ "Cook_County,_Illinois", "isLocatedIn", "Chicago_metropolitan_area" ], [ "Cook_County,_Illinois", "isLocatedIn", "Illinois" ], [ "Illinois", "hasCapital", "Chicago" ], [ "Jane_Byrne", "hasGender", "female" ], [ "Jane_Byrne", "livesIn", "Illinois" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 78993, Abigail_Adams 89911, Adlène_Guedioura 15379, Algeria_national_football_team 115008, Ali_Bouafia 16128, Ali_Boulebda 28684, Fathi_Chebal 35089, Fragrant_Concubine 21344, Gina_McKee 82604, Khaled_Kemas 86910, Maamar_Mamouni 63840, Otman_Djellilahine 15775, Sabri_Tabet 94494, US_Créteil-Lusitanos 80384, female src, edge_attr, dst 78993, hasGender, 80384 78993, playsFor, 15379 89911, isAffiliatedTo, 15379 89911, isAffiliatedTo, 94494 89911, playsFor, 15379 89911, playsFor, 94494 115008, isAffiliatedTo, 15379 115008, isAffiliatedTo, 94494 115008, playsFor, 94494 16128, isAffiliatedTo, 15379 16128, isAffiliatedTo, 94494 16128, playsFor, 15379 16128, playsFor, 94494 28684, isAffiliatedTo, 15379 28684, isAffiliatedTo, 94494 28684, playsFor, 15379 28684, playsFor, 94494 35089, hasGender, 80384 35089, playsFor, 15379 35089, playsFor, 94494 21344, hasGender, 80384 82604, playsFor, 15379 82604, playsFor, 94494 86910, isAffiliatedTo, 15379 86910, isAffiliatedTo, 94494 86910, playsFor, 94494 63840, isAffiliatedTo, 15379 63840, isAffiliatedTo, 94494 63840, playsFor, 15379 63840, playsFor, 94494 15775, isAffiliatedTo, 15379 15775, isAffiliatedTo, 94494 15775, playsFor, 15379 15775, playsFor, 94494 Question: For what reason are Gina_McKee and Otman_Djellilahine associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gina_McKee", "Otman_Djellilahine" ], "valid_edges": [ [ "Abigail_Adams", "hasGender", "female" ], [ "Abigail_Adams", "playsFor", "Algeria_national_football_team" ], [ "Adlène_Guedioura", "isAffiliatedTo", "Algeria_national_football_team" ], [ "Adlène_Guedioura", "isAffiliatedTo", "US_Créteil-Lusitanos" ], [ "Adlène_Guedioura", "playsFor", "Algeria_national_football_team" ], [ "Adlène_Guedioura", "playsFor", "US_Créteil-Lusitanos" ], [ "Ali_Bouafia", "isAffiliatedTo", "Algeria_national_football_team" ], [ "Ali_Bouafia", "isAffiliatedTo", "US_Créteil-Lusitanos" ], [ "Ali_Bouafia", "playsFor", "US_Créteil-Lusitanos" ], [ "Ali_Boulebda", "isAffiliatedTo", "Algeria_national_football_team" ], [ "Ali_Boulebda", "isAffiliatedTo", "US_Créteil-Lusitanos" ], [ "Ali_Boulebda", "playsFor", "Algeria_national_football_team" ], [ "Ali_Boulebda", "playsFor", "US_Créteil-Lusitanos" ], [ "Fathi_Chebal", "isAffiliatedTo", "Algeria_national_football_team" ], [ "Fathi_Chebal", "isAffiliatedTo", "US_Créteil-Lusitanos" ], [ "Fathi_Chebal", "playsFor", "Algeria_national_football_team" ], [ "Fathi_Chebal", "playsFor", "US_Créteil-Lusitanos" ], [ "Fragrant_Concubine", "hasGender", "female" ], [ "Fragrant_Concubine", "playsFor", "Algeria_national_football_team" ], [ "Fragrant_Concubine", "playsFor", "US_Créteil-Lusitanos" ], [ "Gina_McKee", "hasGender", "female" ], [ "Khaled_Kemas", "playsFor", "Algeria_national_football_team" ], [ "Khaled_Kemas", "playsFor", "US_Créteil-Lusitanos" ], [ "Maamar_Mamouni", "isAffiliatedTo", "Algeria_national_football_team" ], [ "Maamar_Mamouni", "isAffiliatedTo", "US_Créteil-Lusitanos" ], [ "Maamar_Mamouni", "playsFor", "US_Créteil-Lusitanos" ], [ "Otman_Djellilahine", "isAffiliatedTo", "Algeria_national_football_team" ], [ "Otman_Djellilahine", "isAffiliatedTo", "US_Créteil-Lusitanos" ], [ "Otman_Djellilahine", "playsFor", "Algeria_national_football_team" ], [ "Otman_Djellilahine", "playsFor", "US_Créteil-Lusitanos" ], [ "Sabri_Tabet", "isAffiliatedTo", "Algeria_national_football_team" ], [ "Sabri_Tabet", "isAffiliatedTo", "US_Créteil-Lusitanos" ], [ "Sabri_Tabet", "playsFor", "Algeria_national_football_team" ], [ "Sabri_Tabet", "playsFor", "US_Créteil-Lusitanos" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 7851, 1._FC_Köln 12128, Alassane_Ouédraogo 117678, Andreas_Bergmann 22876, Andrzej_Kobylański 41515, Bjarne_Goldbæk 4581, Christopher_Buchtmann 9381, Daniel_Chitsulo 48965, Danijel_Štefulj 98120, Denis_Epstein 19168, Diethelm_Ferner 19331, Dimitrios_Grammozis 118200, Ferhat_Kıskanç 104857, Francis_Kioyo 26328, Fritz_Herkenrath 28005, Hanno_Balitsch 32215, Hannover_96 10725, Heiner_Backhaus 21838, Heinz_Hornig 56659, Heinz_Simmet 62094, Helmut_Rahn 17357, Holger_Willmer 122740, Jörg_Schmadtke 85380, Jürgen_Rynio 80205, Karl-Heinz_Geils 5523, Karl-Heinz_Spikofski 32836, Kostas_Konstantinidis 79353, Kuno_Klötzer 24947, Lewis_Taylor 45345, London 28826, Markus_Kreuz 121974, Markus_Kurth 19661, Mike_Wunderlich 32412, Mitja_Schäfer 20422, Moritz_Stoppelkamp 1532, Olaf_Janßen 61418, Peter_Hobday_(footballer) 80854, Peter_Neururer 8530, Princess_Amelia_of_Great_Britain 75759, Ralf_Außem 94306, Reinhard_Stumpf 95146, Reinhold_Daschner 26968, Rolf-Christel_Guié-Mien 66438, Ron-Robert_Zieler 95097, Rot-Weiss_Essen 36164, Sebastian_Stachnik 46194, Silvio_Pagano 96568, Stefan_Kohn 37989, Sven_Fischer_(footballer) 28269, Tomasz_Zdebel 101476, Valdet_Rama 87929, Volkan_Arslan 56643, Werner_Lorant 18308, Wolfgang_Rausch 59699, Zlatko_Čajkovski src, edge_attr, dst 12128, isAffiliatedTo, 7851 12128, isAffiliatedTo, 95097 12128, playsFor, 7851 12128, playsFor, 95097 117678, isAffiliatedTo, 32215 117678, playsFor, 7851 22876, isAffiliatedTo, 7851 22876, isAffiliatedTo, 32215 22876, playsFor, 7851 22876, playsFor, 32215 41515, isAffiliatedTo, 7851 41515, isAffiliatedTo, 95097 41515, playsFor, 7851 41515, playsFor, 95097 4581, isAffiliatedTo, 32215 4581, playsFor, 7851 4581, playsFor, 32215 9381, isAffiliatedTo, 7851 9381, isAffiliatedTo, 95097 9381, playsFor, 7851 9381, playsFor, 95097 48965, isAffiliatedTo, 32215 48965, isAffiliatedTo, 95097 48965, playsFor, 32215 48965, playsFor, 95097 98120, isAffiliatedTo, 7851 98120, isAffiliatedTo, 95097 98120, playsFor, 7851 98120, playsFor, 95097 19168, isAffiliatedTo, 32215 19168, isAffiliatedTo, 95097 19168, playsFor, 95097 19331, isAffiliatedTo, 7851 19331, isAffiliatedTo, 95097 19331, playsFor, 7851 19331, playsFor, 95097 118200, isAffiliatedTo, 7851 118200, isAffiliatedTo, 95097 118200, playsFor, 7851 118200, playsFor, 95097 104857, isAffiliatedTo, 7851 104857, isAffiliatedTo, 95097 104857, playsFor, 7851 104857, playsFor, 95097 26328, isAffiliatedTo, 7851 26328, isAffiliatedTo, 95097 26328, playsFor, 7851 26328, playsFor, 95097 28005, isAffiliatedTo, 7851 28005, isAffiliatedTo, 32215 28005, playsFor, 7851 28005, playsFor, 32215 10725, isAffiliatedTo, 32215 10725, isAffiliatedTo, 95097 10725, playsFor, 32215 10725, playsFor, 95097 21838, isAffiliatedTo, 7851 21838, isAffiliatedTo, 95097 21838, playsFor, 7851 21838, playsFor, 95097 56659, isAffiliatedTo, 7851 56659, isAffiliatedTo, 95097 56659, playsFor, 7851 56659, playsFor, 95097 62094, isAffiliatedTo, 7851 62094, isAffiliatedTo, 95097 62094, playsFor, 7851 62094, playsFor, 95097 17357, isAffiliatedTo, 7851 17357, isAffiliatedTo, 32215 17357, playsFor, 7851 17357, playsFor, 32215 122740, isAffiliatedTo, 7851 122740, isAffiliatedTo, 32215 85380, isAffiliatedTo, 32215 85380, isAffiliatedTo, 95097 85380, playsFor, 32215 85380, playsFor, 95097 80205, isAffiliatedTo, 7851 80205, isAffiliatedTo, 32215 80205, playsFor, 7851 80205, playsFor, 32215 5523, isAffiliatedTo, 7851 5523, isAffiliatedTo, 95097 5523, playsFor, 7851 5523, playsFor, 95097 32836, isAffiliatedTo, 7851 32836, isAffiliatedTo, 32215 32836, playsFor, 7851 32836, playsFor, 32215 79353, isAffiliatedTo, 32215 79353, isAffiliatedTo, 95097 24947, wasBornIn, 45345 28826, isAffiliatedTo, 7851 28826, isAffiliatedTo, 32215 28826, playsFor, 7851 28826, playsFor, 32215 121974, isAffiliatedTo, 7851 121974, isAffiliatedTo, 95097 121974, playsFor, 7851 121974, playsFor, 95097 19661, isAffiliatedTo, 95097 19661, playsFor, 7851 19661, playsFor, 95097 32412, isAffiliatedTo, 95097 32412, playsFor, 7851 32412, playsFor, 95097 20422, isAffiliatedTo, 32215 20422, isAffiliatedTo, 95097 20422, playsFor, 32215 20422, playsFor, 95097 1532, isAffiliatedTo, 7851 1532, isAffiliatedTo, 95097 1532, playsFor, 7851 61418, isAffiliatedTo, 32215 61418, isAffiliatedTo, 95097 61418, playsFor, 32215 61418, playsFor, 95097 61418, wasBornIn, 45345 80854, isAffiliatedTo, 32215 80854, isAffiliatedTo, 95097 8530, diedIn, 45345 8530, playsFor, 7851 75759, isAffiliatedTo, 7851 75759, isAffiliatedTo, 32215 75759, playsFor, 7851 75759, playsFor, 32215 94306, isAffiliatedTo, 7851 94306, isAffiliatedTo, 32215 94306, playsFor, 7851 94306, playsFor, 32215 95146, isAffiliatedTo, 32215 95146, playsFor, 7851 95146, playsFor, 32215 26968, isAffiliatedTo, 7851 26968, isAffiliatedTo, 95097 26968, playsFor, 7851 26968, playsFor, 95097 66438, isAffiliatedTo, 7851 66438, isAffiliatedTo, 32215 66438, playsFor, 7851 66438, playsFor, 32215 36164, isAffiliatedTo, 32215 36164, isAffiliatedTo, 95097 36164, playsFor, 95097 46194, isAffiliatedTo, 95097 46194, playsFor, 7851 46194, playsFor, 95097 96568, isAffiliatedTo, 7851 96568, isAffiliatedTo, 32215 96568, playsFor, 7851 96568, playsFor, 32215 37989, isAffiliatedTo, 7851 37989, isAffiliatedTo, 32215 37989, isAffiliatedTo, 95097 37989, playsFor, 7851 37989, playsFor, 32215 37989, playsFor, 95097 28269, isAffiliatedTo, 7851 28269, isAffiliatedTo, 95097 28269, playsFor, 7851 28269, playsFor, 95097 101476, isAffiliatedTo, 32215 101476, isAffiliatedTo, 95097 101476, playsFor, 32215 87929, isAffiliatedTo, 32215 87929, isAffiliatedTo, 95097 87929, playsFor, 32215 87929, playsFor, 95097 56643, isAffiliatedTo, 32215 56643, isAffiliatedTo, 95097 56643, playsFor, 32215 56643, playsFor, 95097 18308, isAffiliatedTo, 95097 18308, playsFor, 7851 18308, playsFor, 95097 59699, isAffiliatedTo, 7851 59699, isAffiliatedTo, 32215 59699, playsFor, 7851 Question: For what reason are Lewis_Taylor and Sven_Fischer_(footballer) associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Lewis_Taylor", "Sven_Fischer_(footballer)" ], "valid_edges": [ [ "Alassane_Ouédraogo", "isAffiliatedTo", "1._FC_Köln" ], [ "Alassane_Ouédraogo", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Alassane_Ouédraogo", "playsFor", "1._FC_Köln" ], [ "Alassane_Ouédraogo", "playsFor", "Rot-Weiss_Essen" ], [ "Andreas_Bergmann", "isAffiliatedTo", "Hannover_96" ], [ "Andreas_Bergmann", "playsFor", "1._FC_Köln" ], [ "Andrzej_Kobylański", "isAffiliatedTo", "1._FC_Köln" ], [ "Andrzej_Kobylański", "isAffiliatedTo", "Hannover_96" ], [ "Andrzej_Kobylański", "playsFor", "1._FC_Köln" ], [ "Andrzej_Kobylański", "playsFor", "Hannover_96" ], [ "Bjarne_Goldbæk", "isAffiliatedTo", "1._FC_Köln" ], [ "Bjarne_Goldbæk", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Bjarne_Goldbæk", "playsFor", "1._FC_Köln" ], [ "Bjarne_Goldbæk", "playsFor", "Rot-Weiss_Essen" ], [ "Christopher_Buchtmann", "isAffiliatedTo", "Hannover_96" ], [ "Christopher_Buchtmann", "playsFor", "1._FC_Köln" ], [ "Christopher_Buchtmann", "playsFor", "Hannover_96" ], [ "Daniel_Chitsulo", "isAffiliatedTo", "1._FC_Köln" ], [ "Daniel_Chitsulo", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Daniel_Chitsulo", "playsFor", "1._FC_Köln" ], [ "Daniel_Chitsulo", "playsFor", "Rot-Weiss_Essen" ], [ "Danijel_Štefulj", "isAffiliatedTo", "Hannover_96" ], [ "Danijel_Štefulj", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Danijel_Štefulj", "playsFor", "Hannover_96" ], [ "Danijel_Štefulj", "playsFor", "Rot-Weiss_Essen" ], [ "Denis_Epstein", "isAffiliatedTo", "1._FC_Köln" ], [ "Denis_Epstein", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Denis_Epstein", "playsFor", "1._FC_Köln" ], [ "Denis_Epstein", "playsFor", "Rot-Weiss_Essen" ], [ "Diethelm_Ferner", "isAffiliatedTo", "Hannover_96" ], [ "Diethelm_Ferner", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Diethelm_Ferner", "playsFor", "Rot-Weiss_Essen" ], [ "Dimitrios_Grammozis", "isAffiliatedTo", "1._FC_Köln" ], [ "Dimitrios_Grammozis", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Dimitrios_Grammozis", "playsFor", "1._FC_Köln" ], [ "Dimitrios_Grammozis", "playsFor", "Rot-Weiss_Essen" ], [ "Ferhat_Kıskanç", "isAffiliatedTo", "1._FC_Köln" ], [ "Ferhat_Kıskanç", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Ferhat_Kıskanç", "playsFor", "1._FC_Köln" ], [ "Ferhat_Kıskanç", "playsFor", "Rot-Weiss_Essen" ], [ "Francis_Kioyo", "isAffiliatedTo", "1._FC_Köln" ], [ "Francis_Kioyo", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Francis_Kioyo", "playsFor", "1._FC_Köln" ], [ "Francis_Kioyo", "playsFor", "Rot-Weiss_Essen" ], [ "Fritz_Herkenrath", "isAffiliatedTo", "1._FC_Köln" ], [ "Fritz_Herkenrath", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Fritz_Herkenrath", "playsFor", "1._FC_Köln" ], [ "Fritz_Herkenrath", "playsFor", "Rot-Weiss_Essen" ], [ "Hanno_Balitsch", "isAffiliatedTo", "1._FC_Köln" ], [ "Hanno_Balitsch", "isAffiliatedTo", "Hannover_96" ], [ "Hanno_Balitsch", "playsFor", "1._FC_Köln" ], [ "Hanno_Balitsch", "playsFor", "Hannover_96" ], [ "Heiner_Backhaus", "isAffiliatedTo", "Hannover_96" ], [ "Heiner_Backhaus", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Heiner_Backhaus", "playsFor", "Hannover_96" ], [ "Heiner_Backhaus", "playsFor", "Rot-Weiss_Essen" ], [ "Heinz_Hornig", "isAffiliatedTo", "1._FC_Köln" ], [ "Heinz_Hornig", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Heinz_Hornig", "playsFor", "1._FC_Köln" ], [ "Heinz_Hornig", "playsFor", "Rot-Weiss_Essen" ], [ "Heinz_Simmet", "isAffiliatedTo", "1._FC_Köln" ], [ "Heinz_Simmet", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Heinz_Simmet", "playsFor", "1._FC_Köln" ], [ "Heinz_Simmet", "playsFor", "Rot-Weiss_Essen" ], [ "Helmut_Rahn", "isAffiliatedTo", "1._FC_Köln" ], [ "Helmut_Rahn", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Helmut_Rahn", "playsFor", "1._FC_Köln" ], [ "Helmut_Rahn", "playsFor", "Rot-Weiss_Essen" ], [ "Holger_Willmer", "isAffiliatedTo", "1._FC_Köln" ], [ "Holger_Willmer", "isAffiliatedTo", "Hannover_96" ], [ "Holger_Willmer", "playsFor", "1._FC_Köln" ], [ "Holger_Willmer", "playsFor", "Hannover_96" ], [ "Jörg_Schmadtke", "isAffiliatedTo", "1._FC_Köln" ], [ "Jörg_Schmadtke", "isAffiliatedTo", "Hannover_96" ], [ "Jürgen_Rynio", "isAffiliatedTo", "Hannover_96" ], [ "Jürgen_Rynio", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Jürgen_Rynio", "playsFor", "Hannover_96" ], [ "Jürgen_Rynio", "playsFor", "Rot-Weiss_Essen" ], [ "Karl-Heinz_Geils", "isAffiliatedTo", "1._FC_Köln" ], [ "Karl-Heinz_Geils", "isAffiliatedTo", "Hannover_96" ], [ "Karl-Heinz_Geils", "playsFor", "1._FC_Köln" ], [ "Karl-Heinz_Geils", "playsFor", "Hannover_96" ], [ "Karl-Heinz_Spikofski", "isAffiliatedTo", "1._FC_Köln" ], [ "Karl-Heinz_Spikofski", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Karl-Heinz_Spikofski", "playsFor", "1._FC_Köln" ], [ "Karl-Heinz_Spikofski", "playsFor", "Rot-Weiss_Essen" ], [ "Kostas_Konstantinidis", "isAffiliatedTo", "1._FC_Köln" ], [ "Kostas_Konstantinidis", "isAffiliatedTo", "Hannover_96" ], [ "Kostas_Konstantinidis", "playsFor", "1._FC_Köln" ], [ "Kostas_Konstantinidis", "playsFor", "Hannover_96" ], [ "Kuno_Klötzer", "isAffiliatedTo", "Hannover_96" ], [ "Kuno_Klötzer", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Lewis_Taylor", "wasBornIn", "London" ], [ "Markus_Kreuz", "isAffiliatedTo", "1._FC_Köln" ], [ "Markus_Kreuz", "isAffiliatedTo", "Hannover_96" ], [ "Markus_Kreuz", "playsFor", "1._FC_Köln" ], [ "Markus_Kreuz", "playsFor", "Hannover_96" ], [ "Markus_Kurth", "isAffiliatedTo", "1._FC_Köln" ], [ "Markus_Kurth", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Markus_Kurth", "playsFor", "1._FC_Köln" ], [ "Markus_Kurth", "playsFor", "Rot-Weiss_Essen" ], [ "Mike_Wunderlich", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Mike_Wunderlich", "playsFor", "1._FC_Köln" ], [ "Mike_Wunderlich", "playsFor", "Rot-Weiss_Essen" ], [ "Mitja_Schäfer", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Mitja_Schäfer", "playsFor", "1._FC_Köln" ], [ "Mitja_Schäfer", "playsFor", "Rot-Weiss_Essen" ], [ "Moritz_Stoppelkamp", "isAffiliatedTo", "Hannover_96" ], [ "Moritz_Stoppelkamp", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Moritz_Stoppelkamp", "playsFor", "Hannover_96" ], [ "Moritz_Stoppelkamp", "playsFor", "Rot-Weiss_Essen" ], [ "Olaf_Janßen", "isAffiliatedTo", "1._FC_Köln" ], [ "Olaf_Janßen", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Olaf_Janßen", "playsFor", "1._FC_Köln" ], [ "Peter_Hobday_(footballer)", "isAffiliatedTo", "Hannover_96" ], [ "Peter_Hobday_(footballer)", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Peter_Hobday_(footballer)", "playsFor", "Hannover_96" ], [ "Peter_Hobday_(footballer)", "playsFor", "Rot-Weiss_Essen" ], [ "Peter_Hobday_(footballer)", "wasBornIn", "London" ], [ "Peter_Neururer", "isAffiliatedTo", "Hannover_96" ], [ "Peter_Neururer", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Princess_Amelia_of_Great_Britain", "diedIn", "London" ], [ "Princess_Amelia_of_Great_Britain", "playsFor", "1._FC_Köln" ], [ "Ralf_Außem", "isAffiliatedTo", "1._FC_Köln" ], [ "Ralf_Außem", "isAffiliatedTo", "Hannover_96" ], [ "Ralf_Außem", "playsFor", "1._FC_Köln" ], [ "Ralf_Außem", "playsFor", "Hannover_96" ], [ "Reinhard_Stumpf", "isAffiliatedTo", "1._FC_Köln" ], [ "Reinhard_Stumpf", "isAffiliatedTo", "Hannover_96" ], [ "Reinhard_Stumpf", "playsFor", "1._FC_Köln" ], [ "Reinhard_Stumpf", "playsFor", "Hannover_96" ], [ "Reinhold_Daschner", "isAffiliatedTo", "Hannover_96" ], [ "Reinhold_Daschner", "playsFor", "1._FC_Köln" ], [ "Reinhold_Daschner", "playsFor", "Hannover_96" ], [ "Rolf-Christel_Guié-Mien", "isAffiliatedTo", "1._FC_Köln" ], [ "Rolf-Christel_Guié-Mien", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Rolf-Christel_Guié-Mien", "playsFor", "1._FC_Köln" ], [ "Rolf-Christel_Guié-Mien", "playsFor", "Rot-Weiss_Essen" ], [ "Ron-Robert_Zieler", "isAffiliatedTo", "1._FC_Köln" ], [ "Ron-Robert_Zieler", "isAffiliatedTo", "Hannover_96" ], [ "Ron-Robert_Zieler", "playsFor", "1._FC_Köln" ], [ "Ron-Robert_Zieler", "playsFor", "Hannover_96" ], [ "Sebastian_Stachnik", "isAffiliatedTo", "Hannover_96" ], [ "Sebastian_Stachnik", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Sebastian_Stachnik", "playsFor", "Rot-Weiss_Essen" ], [ "Silvio_Pagano", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Silvio_Pagano", "playsFor", "1._FC_Köln" ], [ "Silvio_Pagano", "playsFor", "Rot-Weiss_Essen" ], [ "Stefan_Kohn", "isAffiliatedTo", "1._FC_Köln" ], [ "Stefan_Kohn", "isAffiliatedTo", "Hannover_96" ], [ "Stefan_Kohn", "playsFor", "1._FC_Köln" ], [ "Stefan_Kohn", "playsFor", "Hannover_96" ], [ "Sven_Fischer_(footballer)", "isAffiliatedTo", "1._FC_Köln" ], [ "Sven_Fischer_(footballer)", "isAffiliatedTo", "Hannover_96" ], [ "Sven_Fischer_(footballer)", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Sven_Fischer_(footballer)", "playsFor", "1._FC_Köln" ], [ "Sven_Fischer_(footballer)", "playsFor", "Hannover_96" ], [ "Sven_Fischer_(footballer)", "playsFor", "Rot-Weiss_Essen" ], [ "Tomasz_Zdebel", "isAffiliatedTo", "1._FC_Köln" ], [ "Tomasz_Zdebel", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Tomasz_Zdebel", "playsFor", "1._FC_Köln" ], [ "Tomasz_Zdebel", "playsFor", "Rot-Weiss_Essen" ], [ "Valdet_Rama", "isAffiliatedTo", "Hannover_96" ], [ "Valdet_Rama", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Valdet_Rama", "playsFor", "Hannover_96" ], [ "Volkan_Arslan", "isAffiliatedTo", "Hannover_96" ], [ "Volkan_Arslan", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Volkan_Arslan", "playsFor", "Hannover_96" ], [ "Volkan_Arslan", "playsFor", "Rot-Weiss_Essen" ], [ "Werner_Lorant", "isAffiliatedTo", "Hannover_96" ], [ "Werner_Lorant", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Werner_Lorant", "playsFor", "Hannover_96" ], [ "Werner_Lorant", "playsFor", "Rot-Weiss_Essen" ], [ "Wolfgang_Rausch", "isAffiliatedTo", "Rot-Weiss_Essen" ], [ "Wolfgang_Rausch", "playsFor", "1._FC_Köln" ], [ "Wolfgang_Rausch", "playsFor", "Rot-Weiss_Essen" ], [ "Zlatko_Čajkovski", "isAffiliatedTo", "1._FC_Köln" ], [ "Zlatko_Čajkovski", "isAffiliatedTo", "Hannover_96" ], [ "Zlatko_Čajkovski", "playsFor", "1._FC_Köln" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 110880, Copenhagen 110655, Hong_Kong 111574, Johnnie_To 39628, London_Heathrow_Terminal_3 42513, London_Heathrow_Terminal_5 92195, University_of_Southern_Denmark src, edge_attr, dst 111574, wasBornIn, 110655 39628, isConnectedTo, 110880 39628, isConnectedTo, 110655 42513, isConnectedTo, 110880 42513, isConnectedTo, 110655 92195, isLocatedIn, 110880 Question: In what context are Johnnie_To and University_of_Southern_Denmark connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Johnnie_To", "University_of_Southern_Denmark" ], "valid_edges": [ [ "Johnnie_To", "wasBornIn", "Hong_Kong" ], [ "London_Heathrow_Terminal_3", "isConnectedTo", "Copenhagen" ], [ "London_Heathrow_Terminal_3", "isConnectedTo", "Hong_Kong" ], [ "London_Heathrow_Terminal_5", "isConnectedTo", "Copenhagen" ], [ "London_Heathrow_Terminal_5", "isConnectedTo", "Hong_Kong" ], [ "University_of_Southern_Denmark", "isLocatedIn", "Copenhagen" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 18930, Edward_Rydz-Śmigły 63805, Gmina_Ostrów_Mazowiecka 93710, Ignacy_Mościcki 3079, Masovian_Voivodeship 69768, Mazowieckie 65611, Order_of_the_White_Eagle_(Poland) 32170, Order_of_the_White_Star 103423, Ostrów_Mazowiecka 61269, Ostrów_Mazowiecka_County 75579, Warsaw src, edge_attr, dst 18930, diedIn, 75579 18930, hasWonPrize, 65611 18930, hasWonPrize, 32170 63805, isLocatedIn, 3079 63805, isLocatedIn, 61269 93710, hasWonPrize, 65611 93710, hasWonPrize, 32170 103423, isLocatedIn, 63805 103423, isLocatedIn, 3079 103423, isLocatedIn, 69768 103423, isLocatedIn, 61269 61269, isLocatedIn, 3079 61269, isLocatedIn, 69768 75579, isLocatedIn, 3079 Question: For what reason are Gmina_Ostrów_Mazowiecka and Order_of_the_White_Star associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gmina_Ostrów_Mazowiecka", "Order_of_the_White_Star" ], "valid_edges": [ [ "Edward_Rydz-Śmigły", "diedIn", "Warsaw" ], [ "Edward_Rydz-Śmigły", "hasWonPrize", "Order_of_the_White_Eagle_(Poland)" ], [ "Edward_Rydz-Śmigły", "hasWonPrize", "Order_of_the_White_Star" ], [ "Gmina_Ostrów_Mazowiecka", "isLocatedIn", "Masovian_Voivodeship" ], [ "Gmina_Ostrów_Mazowiecka", "isLocatedIn", "Ostrów_Mazowiecka_County" ], [ "Ignacy_Mościcki", "hasWonPrize", "Order_of_the_White_Eagle_(Poland)" ], [ "Ignacy_Mościcki", "hasWonPrize", "Order_of_the_White_Star" ], [ "Ostrów_Mazowiecka", "isLocatedIn", "Gmina_Ostrów_Mazowiecka" ], [ "Ostrów_Mazowiecka", "isLocatedIn", "Masovian_Voivodeship" ], [ "Ostrów_Mazowiecka", "isLocatedIn", "Mazowieckie" ], [ "Ostrów_Mazowiecka", "isLocatedIn", "Ostrów_Mazowiecka_County" ], [ "Ostrów_Mazowiecka_County", "isLocatedIn", "Masovian_Voivodeship" ], [ "Ostrów_Mazowiecka_County", "isLocatedIn", "Mazowieckie" ], [ "Warsaw", "isLocatedIn", "Masovian_Voivodeship" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 8303, Attack_(film) 68936, Frank_De_Vol 34055, Hush…_Hush,_Sweet_Charlotte 48610, Hustle_(1975_film) 13636, Michael_Luciano 89543, P._J._Soles 6733, Stripes_(film) 82271, The_Big_Knife 107141, The_Dirty_Dozen 13014, The_Flight_of_the_Phoenix_(1965_film) 120257, The_Longest_Yard_(1974_film) src, edge_attr, dst 68936, wroteMusicFor, 8303 68936, wroteMusicFor, 34055 68936, wroteMusicFor, 48610 68936, wroteMusicFor, 82271 68936, wroteMusicFor, 107141 68936, wroteMusicFor, 13014 68936, wroteMusicFor, 120257 13636, edited, 8303 13636, edited, 34055 13636, edited, 48610 13636, edited, 6733 13636, edited, 82271 13636, edited, 107141 13636, edited, 13014 13636, edited, 120257 89543, actedIn, 6733 Question: How are P._J._Soles and The_Big_Knife related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "P._J._Soles", "The_Big_Knife" ], "valid_edges": [ [ "Frank_De_Vol", "wroteMusicFor", "Attack_(film)" ], [ "Frank_De_Vol", "wroteMusicFor", "Hush…_Hush,_Sweet_Charlotte" ], [ "Frank_De_Vol", "wroteMusicFor", "Hustle_(1975_film)" ], [ "Frank_De_Vol", "wroteMusicFor", "The_Big_Knife" ], [ "Frank_De_Vol", "wroteMusicFor", "The_Dirty_Dozen" ], [ "Frank_De_Vol", "wroteMusicFor", "The_Flight_of_the_Phoenix_(1965_film)" ], [ "Frank_De_Vol", "wroteMusicFor", "The_Longest_Yard_(1974_film)" ], [ "Michael_Luciano", "edited", "Attack_(film)" ], [ "Michael_Luciano", "edited", "Hush…_Hush,_Sweet_Charlotte" ], [ "Michael_Luciano", "edited", "Hustle_(1975_film)" ], [ "Michael_Luciano", "edited", "Stripes_(film)" ], [ "Michael_Luciano", "edited", "The_Big_Knife" ], [ "Michael_Luciano", "edited", "The_Dirty_Dozen" ], [ "Michael_Luciano", "edited", "The_Flight_of_the_Phoenix_(1965_film)" ], [ "Michael_Luciano", "edited", "The_Longest_Yard_(1974_film)" ], [ "P._J._Soles", "actedIn", "Stripes_(film)" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 121049, Dharwad_district 89823, India 28432, Karnataka 69494, Middleburgh,_New_York 29157, United_States src, edge_attr, dst 121049, isLocatedIn, 28432 89823, dealsWith, 29157 28432, isLocatedIn, 89823 69494, isLocatedIn, 29157 Question: For what reason are Dharwad_district and Middleburgh,_New_York associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Dharwad_district", "Middleburgh,_New_York" ], "valid_edges": [ [ "Dharwad_district", "isLocatedIn", "Karnataka" ], [ "India", "dealsWith", "United_States" ], [ "Karnataka", "isLocatedIn", "India" ], [ "Middleburgh,_New_York", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 89204, Anthony_Bonner 62863, BC_UNICS 78711, Kemerovo 87579, Kemerovo_Oblast 52185, Mezhdurechensk,_Kemerovo_Oblast 89224, Russia 104401, West_Siberian_economic_region src, edge_attr, dst 89204, isAffiliatedTo, 62863 62863, isLocatedIn, 89224 78711, isLocatedIn, 87579 78711, isLocatedIn, 104401 87579, hasCapital, 78711 87579, isLocatedIn, 104401 52185, isLocatedIn, 87579 52185, isLocatedIn, 104401 104401, isLocatedIn, 89224 Question: For what reason are Anthony_Bonner and Mezhdurechensk,_Kemerovo_Oblast associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Anthony_Bonner", "Mezhdurechensk,_Kemerovo_Oblast" ], "valid_edges": [ [ "Anthony_Bonner", "isAffiliatedTo", "BC_UNICS" ], [ "BC_UNICS", "isLocatedIn", "Russia" ], [ "Kemerovo", "isLocatedIn", "Kemerovo_Oblast" ], [ "Kemerovo", "isLocatedIn", "West_Siberian_economic_region" ], [ "Kemerovo_Oblast", "hasCapital", "Kemerovo" ], [ "Kemerovo_Oblast", "isLocatedIn", "West_Siberian_economic_region" ], [ "Mezhdurechensk,_Kemerovo_Oblast", "isLocatedIn", "Kemerovo_Oblast" ], [ "Mezhdurechensk,_Kemerovo_Oblast", "isLocatedIn", "West_Siberian_economic_region" ], [ "West_Siberian_economic_region", "isLocatedIn", "Russia" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 49921, Augustus,_Elector_of_Saxony 22854, Péter_Máté_(footballer) 118104, male src, edge_attr, dst 49921, hasGender, 118104 22854, hasGender, 118104 Question: For what reason are Augustus,_Elector_of_Saxony and Péter_Máté_(footballer) associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Augustus,_Elector_of_Saxony", "Péter_Máté_(footballer)" ], "valid_edges": [ [ "Augustus,_Elector_of_Saxony", "hasGender", "male" ], [ "Péter_Máté_(footballer)", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 11298, Abdul_Halim_of_Kedah 42091, Abdullah_Ahmad_Badawi 82112, Anwar_Ibrahim 28007, Hebert_Revetria 61317, Hussein_Onn 27056, Lim_Guan_Eng 115929, Mahathir_Mohamad 38985, Malacca_(state) 79493, Malaysia 64293, Najib_Razak 84910, Rais_Yatim 118039, Tunku_Abdul_Rahman 118104, male src, edge_attr, dst 11298, hasGender, 118104 11298, isLeaderOf, 79493 42091, hasGender, 118104 42091, isPoliticianOf, 79493 82112, hasGender, 118104 82112, isPoliticianOf, 79493 28007, hasGender, 118104 61317, hasGender, 118104 61317, isPoliticianOf, 79493 27056, hasGender, 118104 27056, isCitizenOf, 79493 115929, hasGender, 118104 115929, isPoliticianOf, 79493 38985, isLocatedIn, 79493 64293, hasGender, 118104 64293, isLeaderOf, 79493 64293, isPoliticianOf, 79493 84910, hasGender, 118104 84910, isPoliticianOf, 79493 118039, hasGender, 118104 118039, isPoliticianOf, 79493 Question: How are Hebert_Revetria and Malacca_(state) related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Hebert_Revetria", "Malacca_(state)" ], "valid_edges": [ [ "Abdul_Halim_of_Kedah", "hasGender", "male" ], [ "Abdul_Halim_of_Kedah", "isLeaderOf", "Malaysia" ], [ "Abdullah_Ahmad_Badawi", "hasGender", "male" ], [ "Abdullah_Ahmad_Badawi", "isPoliticianOf", "Malaysia" ], [ "Anwar_Ibrahim", "hasGender", "male" ], [ "Anwar_Ibrahim", "isPoliticianOf", "Malaysia" ], [ "Hebert_Revetria", "hasGender", "male" ], [ "Hussein_Onn", "hasGender", "male" ], [ "Hussein_Onn", "isPoliticianOf", "Malaysia" ], [ "Lim_Guan_Eng", "hasGender", "male" ], [ "Lim_Guan_Eng", "isCitizenOf", "Malaysia" ], [ "Mahathir_Mohamad", "hasGender", "male" ], [ "Mahathir_Mohamad", "isPoliticianOf", "Malaysia" ], [ "Malacca_(state)", "isLocatedIn", "Malaysia" ], [ "Najib_Razak", "hasGender", "male" ], [ "Najib_Razak", "isLeaderOf", "Malaysia" ], [ "Najib_Razak", "isPoliticianOf", "Malaysia" ], [ "Rais_Yatim", "hasGender", "male" ], [ "Rais_Yatim", "isPoliticianOf", "Malaysia" ], [ "Tunku_Abdul_Rahman", "hasGender", "male" ], [ "Tunku_Abdul_Rahman", "isPoliticianOf", "Malaysia" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 87816, Almtuna_IS 88206, Anders_Johan_Lexell 10833, Antouman_Jallow 85891, Arne_Tiselius 71321, Bertil_Ohlin 105417, Carl-Gustaf_Rossby 71223, Carl_Bildt 103667, Carl_Linnaeus 86477, Carl_XVI_Gustaf_of_Sweden 2934, Charles_VIII_of_Sweden 69270, Donald_Hamilton 107943, E-Type_(musician) 110499, Fredrik_Reinfeldt 15323, Fritz_Carlson 88519, George_Kellgren 38549, Gunnar_Myrdal 28319, Gustav_Cassel 75814, Göran_Persson 58753, Harald_Cramér 64305, Helgi_Daníelsson 7019, Henning_Mankell 70715, Hjalmar_Branting 62273, IK_Sirius 109280, Ingmar_Bergman 112680, Ingvar_Carlsson 106685, Jackie_Whitehouse 107766, Jan-Åke_Gustafsson 92795, Jan_Guillou 101149, Jens_Eisert 1304, John_Bauer_(illustrator) 79675, Karl_Gustav_Jöreskog 87850, Klebér_Saarenpää 78872, Leif_G._W._Persson 122898, Lennart_Ljung 42045, Ola_Ullsten 14552, Olle_Kullinger 40786, Olof_Palme 87146, Oskar_Klein 27513, Pehr_Victor_Edman 108054, Per_Olov_Enquist 110102, Robert_Åhman_Persson 72778, Stieg_Larsson 89589, Svante_Arrhenius 17792, Svante_Pääbo 6827, Sweden 118021, Tage_Erlander 18716, Torsten_Wiesel 45112, Uppland 43179, Uppsala 87779, Uppsala_County 94334, Uppsala_University 61796, Vladimir_Mazya 118104, male src, edge_attr, dst 87816, isLocatedIn, 6827 87816, isLocatedIn, 43179 88206, hasGender, 118104 88206, livesIn, 6827 10833, hasGender, 118104 10833, wasBornIn, 43179 85891, diedIn, 43179 85891, hasGender, 118104 85891, isCitizenOf, 6827 85891, livesIn, 6827 71321, hasGender, 118104 71321, isCitizenOf, 6827 105417, hasGender, 118104 105417, isCitizenOf, 6827 71223, hasGender, 118104 71223, isPoliticianOf, 6827 103667, hasGender, 118104 103667, livesIn, 6827 86477, hasGender, 118104 86477, isLeaderOf, 6827 2934, hasGender, 118104 2934, wasBornIn, 43179 69270, hasGender, 118104 69270, wasBornIn, 43179 107943, hasGender, 118104 107943, wasBornIn, 43179 110499, hasGender, 118104 110499, isLeaderOf, 6827 110499, isPoliticianOf, 6827 15323, hasGender, 118104 15323, isCitizenOf, 6827 88519, hasGender, 118104 88519, isCitizenOf, 6827 38549, hasGender, 118104 38549, isCitizenOf, 6827 28319, hasGender, 118104 28319, isCitizenOf, 6827 75814, hasGender, 118104 75814, isPoliticianOf, 6827 58753, hasGender, 118104 58753, isCitizenOf, 6827 58753, livesIn, 6827 64305, hasGender, 118104 64305, wasBornIn, 43179 7019, hasGender, 118104 7019, isCitizenOf, 6827 70715, hasGender, 118104 70715, isPoliticianOf, 6827 62273, isLocatedIn, 6827 62273, isLocatedIn, 43179 109280, hasGender, 118104 109280, wasBornIn, 43179 112680, hasGender, 118104 112680, isPoliticianOf, 6827 106685, hasGender, 118104 107766, hasGender, 118104 107766, isCitizenOf, 6827 92795, hasGender, 118104 92795, isCitizenOf, 6827 101149, hasGender, 118104 101149, isCitizenOf, 6827 1304, hasGender, 118104 1304, isCitizenOf, 6827 79675, hasGender, 118104 79675, isCitizenOf, 6827 79675, livesIn, 6827 79675, livesIn, 43179 87850, hasGender, 118104 87850, wasBornIn, 43179 78872, hasGender, 118104 78872, isCitizenOf, 6827 122898, hasGender, 118104 122898, isCitizenOf, 6827 122898, livesIn, 6827 42045, hasGender, 118104 42045, isPoliticianOf, 6827 14552, hasGender, 118104 14552, wasBornIn, 43179 40786, hasGender, 118104 40786, isPoliticianOf, 6827 87146, hasGender, 118104 87146, isCitizenOf, 6827 27513, hasGender, 118104 27513, isCitizenOf, 6827 27513, livesIn, 6827 108054, hasGender, 118104 108054, isCitizenOf, 6827 110102, hasGender, 118104 110102, wasBornIn, 43179 72778, hasGender, 118104 72778, isCitizenOf, 6827 89589, hasGender, 118104 89589, wasBornIn, 43179 17792, hasGender, 118104 17792, isCitizenOf, 6827 118021, hasGender, 118104 118021, isPoliticianOf, 6827 18716, hasGender, 118104 18716, wasBornIn, 43179 45112, hasCapital, 43179 45112, isLocatedIn, 6827 43179, isLocatedIn, 6827 43179, isLocatedIn, 45112 43179, isLocatedIn, 87779 87779, hasCapital, 43179 87779, isLocatedIn, 6827 87779, isLocatedIn, 43179 94334, isLocatedIn, 6827 94334, isLocatedIn, 43179 61796, hasGender, 118104 61796, isCitizenOf, 6827 Question: How are Almtuna_IS and Jackie_Whitehouse related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Almtuna_IS", "Jackie_Whitehouse" ], "valid_edges": [ [ "Almtuna_IS", "isLocatedIn", "Sweden" ], [ "Almtuna_IS", "isLocatedIn", "Uppsala" ], [ "Anders_Johan_Lexell", "hasGender", "male" ], [ "Anders_Johan_Lexell", "livesIn", "Sweden" ], [ "Antouman_Jallow", "hasGender", "male" ], [ "Antouman_Jallow", "wasBornIn", "Uppsala" ], [ "Arne_Tiselius", "diedIn", "Uppsala" ], [ "Arne_Tiselius", "hasGender", "male" ], [ "Arne_Tiselius", "isCitizenOf", "Sweden" ], [ "Arne_Tiselius", "livesIn", "Sweden" ], [ "Bertil_Ohlin", "hasGender", "male" ], [ "Bertil_Ohlin", "isCitizenOf", "Sweden" ], [ "Carl-Gustaf_Rossby", "hasGender", "male" ], [ "Carl-Gustaf_Rossby", "isCitizenOf", "Sweden" ], [ "Carl_Bildt", "hasGender", "male" ], [ "Carl_Bildt", "isPoliticianOf", "Sweden" ], [ "Carl_Linnaeus", "hasGender", "male" ], [ "Carl_Linnaeus", "livesIn", "Sweden" ], [ "Carl_XVI_Gustaf_of_Sweden", "hasGender", "male" ], [ "Carl_XVI_Gustaf_of_Sweden", "isLeaderOf", "Sweden" ], [ "Charles_VIII_of_Sweden", "hasGender", "male" ], [ "Charles_VIII_of_Sweden", "wasBornIn", "Uppsala" ], [ "Donald_Hamilton", "hasGender", "male" ], [ "Donald_Hamilton", "wasBornIn", "Uppsala" ], [ "E-Type_(musician)", "hasGender", "male" ], [ "E-Type_(musician)", "wasBornIn", "Uppsala" ], [ "Fredrik_Reinfeldt", "hasGender", "male" ], [ "Fredrik_Reinfeldt", "isLeaderOf", "Sweden" ], [ "Fredrik_Reinfeldt", "isPoliticianOf", "Sweden" ], [ "Fritz_Carlson", "hasGender", "male" ], [ "Fritz_Carlson", "isCitizenOf", "Sweden" ], [ "George_Kellgren", "hasGender", "male" ], [ "George_Kellgren", "isCitizenOf", "Sweden" ], [ "Gunnar_Myrdal", "hasGender", "male" ], [ "Gunnar_Myrdal", "isCitizenOf", "Sweden" ], [ "Gustav_Cassel", "hasGender", "male" ], [ "Gustav_Cassel", "isCitizenOf", "Sweden" ], [ "Göran_Persson", "hasGender", "male" ], [ "Göran_Persson", "isPoliticianOf", "Sweden" ], [ "Harald_Cramér", "hasGender", "male" ], [ "Harald_Cramér", "isCitizenOf", "Sweden" ], [ "Harald_Cramér", "livesIn", "Sweden" ], [ "Helgi_Daníelsson", "hasGender", "male" ], [ "Helgi_Daníelsson", "wasBornIn", "Uppsala" ], [ "Henning_Mankell", "hasGender", "male" ], [ "Henning_Mankell", "isCitizenOf", "Sweden" ], [ "Hjalmar_Branting", "hasGender", "male" ], [ "Hjalmar_Branting", "isPoliticianOf", "Sweden" ], [ "IK_Sirius", "isLocatedIn", "Sweden" ], [ "IK_Sirius", "isLocatedIn", "Uppsala" ], [ "Ingmar_Bergman", "hasGender", "male" ], [ "Ingmar_Bergman", "wasBornIn", "Uppsala" ], [ "Ingvar_Carlsson", "hasGender", "male" ], [ "Ingvar_Carlsson", "isPoliticianOf", "Sweden" ], [ "Jackie_Whitehouse", "hasGender", "male" ], [ "Jan-Åke_Gustafsson", "hasGender", "male" ], [ "Jan-Åke_Gustafsson", "isCitizenOf", "Sweden" ], [ "Jan_Guillou", "hasGender", "male" ], [ "Jan_Guillou", "isCitizenOf", "Sweden" ], [ "Jens_Eisert", "hasGender", "male" ], [ "Jens_Eisert", "isCitizenOf", "Sweden" ], [ "John_Bauer_(illustrator)", "hasGender", "male" ], [ "John_Bauer_(illustrator)", "isCitizenOf", "Sweden" ], [ "Karl_Gustav_Jöreskog", "hasGender", "male" ], [ "Karl_Gustav_Jöreskog", "isCitizenOf", "Sweden" ], [ "Karl_Gustav_Jöreskog", "livesIn", "Sweden" ], [ "Karl_Gustav_Jöreskog", "livesIn", "Uppsala" ], [ "Klebér_Saarenpää", "hasGender", "male" ], [ "Klebér_Saarenpää", "wasBornIn", "Uppsala" ], [ "Leif_G._W._Persson", "hasGender", "male" ], [ "Leif_G._W._Persson", "isCitizenOf", "Sweden" ], [ "Lennart_Ljung", "hasGender", "male" ], [ "Lennart_Ljung", "isCitizenOf", "Sweden" ], [ "Lennart_Ljung", "livesIn", "Sweden" ], [ "Ola_Ullsten", "hasGender", "male" ], [ "Ola_Ullsten", "isPoliticianOf", "Sweden" ], [ "Olle_Kullinger", "hasGender", "male" ], [ "Olle_Kullinger", "wasBornIn", "Uppsala" ], [ "Olof_Palme", "hasGender", "male" ], [ "Olof_Palme", "isPoliticianOf", "Sweden" ], [ "Oskar_Klein", "hasGender", "male" ], [ "Oskar_Klein", "isCitizenOf", "Sweden" ], [ "Pehr_Victor_Edman", "hasGender", "male" ], [ "Pehr_Victor_Edman", "isCitizenOf", "Sweden" ], [ "Pehr_Victor_Edman", "livesIn", "Sweden" ], [ "Per_Olov_Enquist", "hasGender", "male" ], [ "Per_Olov_Enquist", "isCitizenOf", "Sweden" ], [ "Robert_Åhman_Persson", "hasGender", "male" ], [ "Robert_Åhman_Persson", "wasBornIn", "Uppsala" ], [ "Stieg_Larsson", "hasGender", "male" ], [ "Stieg_Larsson", "isCitizenOf", "Sweden" ], [ "Svante_Arrhenius", "hasGender", "male" ], [ "Svante_Arrhenius", "wasBornIn", "Uppsala" ], [ "Svante_Pääbo", "hasGender", "male" ], [ "Svante_Pääbo", "isCitizenOf", "Sweden" ], [ "Tage_Erlander", "hasGender", "male" ], [ "Tage_Erlander", "isPoliticianOf", "Sweden" ], [ "Torsten_Wiesel", "hasGender", "male" ], [ "Torsten_Wiesel", "wasBornIn", "Uppsala" ], [ "Uppland", "hasCapital", "Uppsala" ], [ "Uppland", "isLocatedIn", "Sweden" ], [ "Uppsala", "isLocatedIn", "Sweden" ], [ "Uppsala", "isLocatedIn", "Uppland" ], [ "Uppsala", "isLocatedIn", "Uppsala_County" ], [ "Uppsala_County", "hasCapital", "Uppsala" ], [ "Uppsala_County", "isLocatedIn", "Sweden" ], [ "Uppsala_County", "isLocatedIn", "Uppsala" ], [ "Uppsala_University", "isLocatedIn", "Sweden" ], [ "Uppsala_University", "isLocatedIn", "Uppsala" ], [ "Vladimir_Mazya", "hasGender", "male" ], [ "Vladimir_Mazya", "isCitizenOf", "Sweden" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 31493, Agustín_García_Calvo 71012, Alain_Badiou 48729, Albert_Camus 98267, Alexander_Herzen 4328, Alexandre_Kojève 80682, Alexis_de_Tocqueville 77023, Amina_Mama 83667, Antonio_Negri 100197, Aristotle 89732, Arthur_Danto 57245, Ask_a_Policeman 9232, Axel_Honneth 36634, Boris_Groys 60760, Catherine_Malabou 6053, Charles_Taylor_(philosopher) 104985, Claude_Lévi-Strauss 118029, Edmund_Husserl 95594, Edvard_Kocbek 52427, Edward_Said 119636, Emmanuel_Levinas 44651, Franco_Basaglia 26804, Fredric_Jameson 77535, Friedrich_Engels 48968, Friedrich_Hölderlin 110584, Friedrich_Nietzsche 40850, Friedrich_Wilhelm_Joseph_Schelling 6947, Gaston_Bachelard 35936, Georg_Wilhelm_Friedrich_Hegel 101511, Georges_Bataille 3402, Gilles_Deleuze 69700, Giorgio_Agamben 9396, Gottfried_Wilhelm_Leibniz 18023, Gustave_Flaubert 108704, Hamid_Dabashi 42381, Hannah_Arendt 17973, Henri_Bergson 63292, Henri_Lefebvre 110822, Heraclitus 5332, Hubert_Dreyfus 27950, Immanuel_Kant 23680, Jacques_Derrida 57616, Jacques_Lacan 63234, Jean-François_Lyotard 92392, Jean-Jacques_Rousseau 91812, Jean-Paul_Sartre 11797, Judith_Butler 78162, Karl_Jaspers 78712, Karl_Marx 68994, Kostas_Axelos 45516, Luce_Irigaray 101991, Marcel_Varnel 38135, Martin_Heidegger 72195, Maurice_Blanchot 6668, Maurice_Merleau-Ponty 47830, Michel_Foucault 98852, Montesquieu 2123, Paris 59972, Paul_Feyerabend 120416, Paul_Ricœur 116052, Peter_Rollins 15517, Peter_Sloterdijk 106193, Pierre_Bourdieu 38373, Plato 45786, Political_philosophy 59386, René_Descartes 23471, Richard_Rorty 92940, Roberto_Mangabeira_Unger 36997, Roland_Barthes 74062, Sigmund_Freud 8172, Simon_Critchley 16955, Simone_de_Beauvoir 61969, Slavoj_Žižek 49071, Søren_Kierkegaard src, edge_attr, dst 31493, influences, 91812 31493, influences, 38135 31493, influences, 47830 48729, influences, 91812 98267, influences, 91812 4328, influences, 91812 4328, influences, 47830 80682, influences, 6053 80682, isInterestedIn, 45786 83667, isInterestedIn, 45786 100197, influences, 6053 100197, influences, 35936 100197, influences, 38135 9232, isInterestedIn, 45786 36634, isInterestedIn, 45786 6053, influences, 9232 6053, isInterestedIn, 45786 104985, influences, 47830 118029, influences, 91812 118029, influences, 38135 118029, influences, 47830 119636, influences, 91812 77535, influences, 91812 77535, isInterestedIn, 45786 48968, influences, 35936 48968, influences, 38135 48968, influences, 47830 110584, influences, 91812 110584, influences, 38135 110584, influences, 47830 40850, influences, 35936 40850, influences, 38135 6947, influences, 91812 6947, influences, 47830 35936, influences, 71012 35936, influences, 48729 35936, influences, 98267 35936, influences, 4328 35936, influences, 89732 35936, influences, 9232 35936, influences, 36634 35936, influences, 60760 35936, influences, 6053 35936, influences, 104985 35936, influences, 26804 35936, influences, 77535 35936, influences, 110584 35936, influences, 101511 35936, influences, 3402 35936, influences, 23680 35936, influences, 57616 35936, influences, 63234 35936, influences, 91812 35936, influences, 11797 35936, influences, 78162 35936, influences, 78712 35936, influences, 68994 35936, influences, 38135 35936, influences, 6668 35936, influences, 47830 35936, influences, 116052 35936, influences, 92940 35936, influences, 8172 35936, influences, 16955 35936, influences, 61969 35936, influences, 49071 35936, isInterestedIn, 45786 101511, influences, 47830 3402, influences, 47830 69700, isInterestedIn, 45786 9396, influences, 35936 9396, influences, 38135 18023, influences, 91812 18023, influences, 47830 42381, influences, 6053 42381, influences, 47830 42381, isInterestedIn, 45786 17973, influences, 91812 17973, influences, 38135 63292, hasChild, 35936 63292, hasChild, 91812 63292, hasChild, 38135 110822, influences, 35936 110822, influences, 38135 5332, influences, 6053 27950, influences, 35936 27950, influences, 38135 27950, influences, 47830 92392, influences, 35936 92392, influences, 91812 92392, isInterestedIn, 45786 91812, diedIn, 2123 91812, influences, 71012 91812, influences, 48729 91812, influences, 77023 91812, influences, 89732 91812, influences, 9232 91812, influences, 95594 91812, influences, 52427 91812, influences, 119636 91812, influences, 44651 91812, influences, 26804 91812, influences, 6668 91812, influences, 47830 91812, influences, 106193 91812, influences, 36997 91812, influences, 16955 91812, wasBornIn, 2123 11797, isInterestedIn, 45786 78162, influences, 38135 78712, influences, 6053 78712, influences, 91812 78712, influences, 47830 101991, directed, 57245 101991, wasBornIn, 2123 38135, influences, 4328 38135, influences, 9232 38135, influences, 36634 38135, influences, 60760 38135, influences, 6053 38135, influences, 95594 38135, influences, 119636 38135, influences, 44651 38135, influences, 69700 38135, influences, 108704 38135, influences, 42381 38135, influences, 5332 38135, influences, 23680 38135, influences, 57616 38135, influences, 63234 38135, influences, 91812 38135, influences, 68994 38135, influences, 45516 38135, influences, 72195 38135, influences, 6668 38135, influences, 47830 38135, influences, 120416 38135, influences, 116052 38135, influences, 15517 38135, influences, 23471 38135, influences, 8172 38135, influences, 16955 38135, influences, 61969 72195, influences, 47830 72195, isInterestedIn, 45786 6668, influences, 6053 6668, influences, 91812 6668, influences, 47830 47830, diedIn, 2123 47830, influences, 77023 47830, influences, 83667 47830, influences, 9232 47830, influences, 60760 47830, influences, 52427 47830, influences, 44651 47830, influences, 3402 47830, influences, 69700 47830, influences, 108704 47830, influences, 5332 47830, influences, 11797 47830, influences, 45516 47830, influences, 15517 47830, influences, 106193 47830, influences, 23471 98852, influences, 35936 98852, isInterestedIn, 45786 59972, influences, 47830 59972, isInterestedIn, 45786 120416, influences, 6053 120416, isInterestedIn, 45786 38373, influences, 6053 38373, influences, 35936 38373, influences, 38135 59386, influences, 35936 59386, influences, 91812 92940, isInterestedIn, 45786 36997, influences, 47830 74062, influences, 91812 74062, influences, 47830 16955, influences, 91812 16955, isInterestedIn, 45786 61969, isInterestedIn, 45786 49071, influences, 91812 49071, influences, 38135 Question: How are Ask_a_Policeman and Axel_Honneth related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Ask_a_Policeman", "Axel_Honneth" ], "valid_edges": [ [ "Agustín_García_Calvo", "influences", "Jean-Paul_Sartre" ], [ "Agustín_García_Calvo", "influences", "Martin_Heidegger" ], [ "Agustín_García_Calvo", "influences", "Michel_Foucault" ], [ "Albert_Camus", "influences", "Jean-Paul_Sartre" ], [ "Alexander_Herzen", "influences", "Jean-Paul_Sartre" ], [ "Alexandre_Kojève", "influences", "Jean-Paul_Sartre" ], [ "Alexandre_Kojève", "influences", "Michel_Foucault" ], [ "Alexis_de_Tocqueville", "influences", "Charles_Taylor_(philosopher)" ], [ "Alexis_de_Tocqueville", "isInterestedIn", "Political_philosophy" ], [ "Antonio_Negri", "isInterestedIn", "Political_philosophy" ], [ "Aristotle", "influences", "Charles_Taylor_(philosopher)" ], [ "Aristotle", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Aristotle", "influences", "Martin_Heidegger" ], [ "Axel_Honneth", "isInterestedIn", "Political_philosophy" ], [ "Boris_Groys", "isInterestedIn", "Political_philosophy" ], [ "Charles_Taylor_(philosopher)", "influences", "Axel_Honneth" ], [ "Charles_Taylor_(philosopher)", "isInterestedIn", "Political_philosophy" ], [ "Claude_Lévi-Strauss", "influences", "Michel_Foucault" ], [ "Edmund_Husserl", "influences", "Jean-Paul_Sartre" ], [ "Edmund_Husserl", "influences", "Martin_Heidegger" ], [ "Edmund_Husserl", "influences", "Michel_Foucault" ], [ "Emmanuel_Levinas", "influences", "Jean-Paul_Sartre" ], [ "Friedrich_Engels", "influences", "Jean-Paul_Sartre" ], [ "Friedrich_Engels", "isInterestedIn", "Political_philosophy" ], [ "Friedrich_Hölderlin", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Friedrich_Hölderlin", "influences", "Martin_Heidegger" ], [ "Friedrich_Hölderlin", "influences", "Michel_Foucault" ], [ "Friedrich_Nietzsche", "influences", "Jean-Paul_Sartre" ], [ "Friedrich_Nietzsche", "influences", "Martin_Heidegger" ], [ "Friedrich_Nietzsche", "influences", "Michel_Foucault" ], [ "Friedrich_Wilhelm_Joseph_Schelling", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Friedrich_Wilhelm_Joseph_Schelling", "influences", "Martin_Heidegger" ], [ "Gaston_Bachelard", "influences", "Jean-Paul_Sartre" ], [ "Gaston_Bachelard", "influences", "Michel_Foucault" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Alain_Badiou" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Albert_Camus" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Alexander_Herzen" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Alexandre_Kojève" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Arthur_Danto" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Axel_Honneth" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Boris_Groys" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Catherine_Malabou" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Charles_Taylor_(philosopher)" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Claude_Lévi-Strauss" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Fredric_Jameson" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Friedrich_Engels" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Friedrich_Nietzsche" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Georges_Bataille" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Gilles_Deleuze" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Jacques_Derrida" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Jacques_Lacan" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Jean-François_Lyotard" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Jean-Paul_Sartre" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Judith_Butler" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Karl_Jaspers" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Karl_Marx" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Kostas_Axelos" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Martin_Heidegger" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Maurice_Merleau-Ponty" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Michel_Foucault" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Peter_Rollins" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Roberto_Mangabeira_Unger" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Simon_Critchley" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Simone_de_Beauvoir" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Slavoj_Žižek" ], [ "Georg_Wilhelm_Friedrich_Hegel", "influences", "Søren_Kierkegaard" ], [ "Georg_Wilhelm_Friedrich_Hegel", "isInterestedIn", "Political_philosophy" ], [ "Georges_Bataille", "influences", "Michel_Foucault" ], [ "Gilles_Deleuze", "influences", "Michel_Foucault" ], [ "Giorgio_Agamben", "isInterestedIn", "Political_philosophy" ], [ "Gottfried_Wilhelm_Leibniz", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Gottfried_Wilhelm_Leibniz", "influences", "Martin_Heidegger" ], [ "Gustave_Flaubert", "influences", "Jean-Paul_Sartre" ], [ "Gustave_Flaubert", "influences", "Michel_Foucault" ], [ "Hannah_Arendt", "influences", "Charles_Taylor_(philosopher)" ], [ "Hannah_Arendt", "influences", "Michel_Foucault" ], [ "Hannah_Arendt", "isInterestedIn", "Political_philosophy" ], [ "Henri_Bergson", "influences", "Jean-Paul_Sartre" ], [ "Henri_Bergson", "influences", "Martin_Heidegger" ], [ "Henri_Lefebvre", "hasChild", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Henri_Lefebvre", "hasChild", "Jean-Paul_Sartre" ], [ "Henri_Lefebvre", "hasChild", "Martin_Heidegger" ], [ "Heraclitus", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Heraclitus", "influences", "Martin_Heidegger" ], [ "Hubert_Dreyfus", "influences", "Charles_Taylor_(philosopher)" ], [ "Immanuel_Kant", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Immanuel_Kant", "influences", "Martin_Heidegger" ], [ "Immanuel_Kant", "influences", "Michel_Foucault" ], [ "Jean-Jacques_Rousseau", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Jean-Jacques_Rousseau", "influences", "Jean-Paul_Sartre" ], [ "Jean-Jacques_Rousseau", "isInterestedIn", "Political_philosophy" ], [ "Jean-Paul_Sartre", "diedIn", "Paris" ], [ "Jean-Paul_Sartre", "influences", "Alain_Badiou" ], [ "Jean-Paul_Sartre", "influences", "Albert_Camus" ], [ "Jean-Paul_Sartre", "influences", "Amina_Mama" ], [ "Jean-Paul_Sartre", "influences", "Arthur_Danto" ], [ "Jean-Paul_Sartre", "influences", "Axel_Honneth" ], [ "Jean-Paul_Sartre", "influences", "Edvard_Kocbek" ], [ "Jean-Paul_Sartre", "influences", "Edward_Said" ], [ "Jean-Paul_Sartre", "influences", "Emmanuel_Levinas" ], [ "Jean-Paul_Sartre", "influences", "Franco_Basaglia" ], [ "Jean-Paul_Sartre", "influences", "Fredric_Jameson" ], [ "Jean-Paul_Sartre", "influences", "Maurice_Merleau-Ponty" ], [ "Jean-Paul_Sartre", "influences", "Michel_Foucault" ], [ "Jean-Paul_Sartre", "influences", "Pierre_Bourdieu" ], [ "Jean-Paul_Sartre", "influences", "Roland_Barthes" ], [ "Jean-Paul_Sartre", "influences", "Simone_de_Beauvoir" ], [ "Jean-Paul_Sartre", "wasBornIn", "Paris" ], [ "Judith_Butler", "isInterestedIn", "Political_philosophy" ], [ "Karl_Jaspers", "influences", "Martin_Heidegger" ], [ "Karl_Marx", "influences", "Charles_Taylor_(philosopher)" ], [ "Karl_Marx", "influences", "Jean-Paul_Sartre" ], [ "Karl_Marx", "influences", "Michel_Foucault" ], [ "Marcel_Varnel", "directed", "Ask_a_Policeman" ], [ "Marcel_Varnel", "wasBornIn", "Paris" ], [ "Martin_Heidegger", "influences", "Alexandre_Kojève" ], [ "Martin_Heidegger", "influences", "Axel_Honneth" ], [ "Martin_Heidegger", "influences", "Boris_Groys" ], [ "Martin_Heidegger", "influences", "Catherine_Malabou" ], [ "Martin_Heidegger", "influences", "Charles_Taylor_(philosopher)" ], [ "Martin_Heidegger", "influences", "Edvard_Kocbek" ], [ "Martin_Heidegger", "influences", "Emmanuel_Levinas" ], [ "Martin_Heidegger", "influences", "Franco_Basaglia" ], [ "Martin_Heidegger", "influences", "Giorgio_Agamben" ], [ "Martin_Heidegger", "influences", "Hamid_Dabashi" ], [ "Martin_Heidegger", "influences", "Hannah_Arendt" ], [ "Martin_Heidegger", "influences", "Hubert_Dreyfus" ], [ "Martin_Heidegger", "influences", "Jacques_Derrida" ], [ "Martin_Heidegger", "influences", "Jacques_Lacan" ], [ "Martin_Heidegger", "influences", "Jean-François_Lyotard" ], [ "Martin_Heidegger", "influences", "Jean-Paul_Sartre" ], [ "Martin_Heidegger", "influences", "Kostas_Axelos" ], [ "Martin_Heidegger", "influences", "Luce_Irigaray" ], [ "Martin_Heidegger", "influences", "Maurice_Blanchot" ], [ "Martin_Heidegger", "influences", "Maurice_Merleau-Ponty" ], [ "Martin_Heidegger", "influences", "Michel_Foucault" ], [ "Martin_Heidegger", "influences", "Paul_Ricœur" ], [ "Martin_Heidegger", "influences", "Peter_Rollins" ], [ "Martin_Heidegger", "influences", "Peter_Sloterdijk" ], [ "Martin_Heidegger", "influences", "Richard_Rorty" ], [ "Martin_Heidegger", "influences", "Simon_Critchley" ], [ "Martin_Heidegger", "influences", "Simone_de_Beauvoir" ], [ "Martin_Heidegger", "influences", "Slavoj_Žižek" ], [ "Maurice_Blanchot", "influences", "Michel_Foucault" ], [ "Maurice_Blanchot", "isInterestedIn", "Political_philosophy" ], [ "Maurice_Merleau-Ponty", "influences", "Charles_Taylor_(philosopher)" ], [ "Maurice_Merleau-Ponty", "influences", "Jean-Paul_Sartre" ], [ "Maurice_Merleau-Ponty", "influences", "Michel_Foucault" ], [ "Michel_Foucault", "diedIn", "Paris" ], [ "Michel_Foucault", "influences", "Amina_Mama" ], [ "Michel_Foucault", "influences", "Antonio_Negri" ], [ "Michel_Foucault", "influences", "Axel_Honneth" ], [ "Michel_Foucault", "influences", "Catherine_Malabou" ], [ "Michel_Foucault", "influences", "Edward_Said" ], [ "Michel_Foucault", "influences", "Franco_Basaglia" ], [ "Michel_Foucault", "influences", "Gilles_Deleuze" ], [ "Michel_Foucault", "influences", "Giorgio_Agamben" ], [ "Michel_Foucault", "influences", "Hamid_Dabashi" ], [ "Michel_Foucault", "influences", "Hubert_Dreyfus" ], [ "Michel_Foucault", "influences", "Judith_Butler" ], [ "Michel_Foucault", "influences", "Luce_Irigaray" ], [ "Michel_Foucault", "influences", "Peter_Sloterdijk" ], [ "Michel_Foucault", "influences", "Pierre_Bourdieu" ], [ "Michel_Foucault", "influences", "Richard_Rorty" ], [ "Montesquieu", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Montesquieu", "isInterestedIn", "Political_philosophy" ], [ "Paul_Feyerabend", "influences", "Michel_Foucault" ], [ "Paul_Feyerabend", "isInterestedIn", "Political_philosophy" ], [ "Paul_Ricœur", "influences", "Charles_Taylor_(philosopher)" ], [ "Paul_Ricœur", "isInterestedIn", "Political_philosophy" ], [ "Plato", "influences", "Charles_Taylor_(philosopher)" ], [ "Plato", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "Plato", "influences", "Martin_Heidegger" ], [ "René_Descartes", "influences", "Georg_Wilhelm_Friedrich_Hegel" ], [ "René_Descartes", "influences", "Jean-Paul_Sartre" ], [ "Roberto_Mangabeira_Unger", "isInterestedIn", "Political_philosophy" ], [ "Roland_Barthes", "influences", "Michel_Foucault" ], [ "Sigmund_Freud", "influences", "Jean-Paul_Sartre" ], [ "Sigmund_Freud", "influences", "Michel_Foucault" ], [ "Simone_de_Beauvoir", "influences", "Jean-Paul_Sartre" ], [ "Simone_de_Beauvoir", "isInterestedIn", "Political_philosophy" ], [ "Slavoj_Žižek", "isInterestedIn", "Political_philosophy" ], [ "Søren_Kierkegaard", "influences", "Jean-Paul_Sartre" ], [ "Søren_Kierkegaard", "influences", "Martin_Heidegger" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 91386, Adrian_Trinidad 100702, Arema_Cronus_F.C. 83693, Boakay_Eddie_Foday 65831, Boaz_Solossa 37879, Christian_Lenglolo 30827, Elie_Aiboy 109019, Erol_Iba 17131, Fernando_Gaston_Soler 37562, Gresik_United_F.C. 1130, Hamka_Hamzah 112237, Hendra_Ridwan 116893, Heru_Nerly 23258, Indonesia_national_football_team 95427, Indonesia_national_under-23_football_team 88869, Kim_Jong-kyung 1180, Korintus_Koliopas_Fingkreuw 103878, Mitra_Kukar_F.C. 120534, Ortizan_Solossa 122405, PSM_Makassar 64486, PSPS_Pekanbaru 111256, Pelita_Bandung_Raya 16940, Persib_Bandung 100322, Persija_Jakarta 34269, Persikota_Tangerang 53688, Persipura_Jayapura 114247, Persitara_North_Jakarta 50609, Persma_Manado 15040, Persmin_Minahasa 70220, Putra_Samarinda_F.C. 90280, Ricardo_Salampessy 92639, Ritham_Madubun 79761, Robertino_Pugliara 86743, Semen_Padang_F.C. 52798, Yandri_Pitoy 111612, Zah_Rahan_Krangar 118104, male 22653, Ángel_Cuéllar src, edge_attr, dst 91386, hasGender, 118104 91386, isAffiliatedTo, 53688 91386, playsFor, 53688 83693, hasGender, 118104 83693, isAffiliatedTo, 100322 83693, isAffiliatedTo, 53688 83693, playsFor, 100322 83693, playsFor, 53688 65831, hasGender, 118104 65831, isAffiliatedTo, 23258 65831, isAffiliatedTo, 95427 65831, isAffiliatedTo, 53688 65831, playsFor, 95427 65831, playsFor, 53688 37879, playsFor, 34269 37879, playsFor, 53688 30827, hasGender, 118104 30827, isAffiliatedTo, 100702 30827, isAffiliatedTo, 23258 30827, isAffiliatedTo, 95427 30827, isAffiliatedTo, 100322 30827, isAffiliatedTo, 53688 30827, isAffiliatedTo, 86743 30827, playsFor, 100702 30827, playsFor, 100322 30827, playsFor, 53688 30827, playsFor, 86743 109019, hasGender, 118104 109019, isAffiliatedTo, 100702 109019, isAffiliatedTo, 37562 109019, isAffiliatedTo, 23258 109019, isAffiliatedTo, 95427 109019, isAffiliatedTo, 64486 109019, isAffiliatedTo, 111256 109019, isAffiliatedTo, 53688 109019, isAffiliatedTo, 86743 109019, playsFor, 100702 109019, playsFor, 37562 109019, playsFor, 23258 109019, playsFor, 95427 109019, playsFor, 64486 109019, playsFor, 111256 109019, playsFor, 53688 109019, playsFor, 86743 17131, hasGender, 118104 17131, playsFor, 53688 1130, isAffiliatedTo, 23258 1130, isAffiliatedTo, 103878 1130, isAffiliatedTo, 122405 1130, isAffiliatedTo, 100322 1130, isAffiliatedTo, 53688 1130, isAffiliatedTo, 70220 1130, playsFor, 23258 1130, playsFor, 103878 1130, playsFor, 122405 1130, playsFor, 100322 1130, playsFor, 53688 1130, playsFor, 70220 112237, hasGender, 118104 112237, playsFor, 100702 112237, playsFor, 95427 112237, playsFor, 103878 112237, playsFor, 122405 112237, playsFor, 16940 112237, playsFor, 53688 112237, playsFor, 15040 116893, hasGender, 118104 116893, playsFor, 37562 116893, playsFor, 23258 116893, playsFor, 122405 116893, playsFor, 100322 116893, playsFor, 53688 116893, playsFor, 70220 116893, playsFor, 86743 88869, hasGender, 118104 88869, isAffiliatedTo, 53688 88869, isAffiliatedTo, 114247 88869, playsFor, 53688 88869, playsFor, 114247 1180, hasGender, 118104 1180, isAffiliatedTo, 95427 1180, isAffiliatedTo, 122405 1180, isAffiliatedTo, 53688 1180, playsFor, 95427 1180, playsFor, 122405 1180, playsFor, 53688 120534, hasGender, 118104 120534, isAffiliatedTo, 100702 120534, isAffiliatedTo, 23258 120534, isAffiliatedTo, 122405 120534, isAffiliatedTo, 100322 120534, isAffiliatedTo, 53688 120534, playsFor, 100702 120534, playsFor, 23258 120534, playsFor, 122405 120534, playsFor, 100322 120534, playsFor, 53688 90280, hasGender, 118104 90280, isAffiliatedTo, 23258 90280, isAffiliatedTo, 95427 90280, isAffiliatedTo, 53688 90280, playsFor, 23258 90280, playsFor, 95427 90280, playsFor, 53688 92639, hasGender, 118104 92639, playsFor, 23258 92639, playsFor, 122405 92639, playsFor, 64486 92639, playsFor, 111256 92639, playsFor, 100322 92639, playsFor, 34269 92639, playsFor, 53688 92639, playsFor, 114247 92639, playsFor, 50609 79761, isAffiliatedTo, 122405 79761, isAffiliatedTo, 100322 79761, isAffiliatedTo, 53688 79761, playsFor, 122405 79761, playsFor, 100322 79761, playsFor, 53688 52798, hasGender, 118104 52798, isAffiliatedTo, 23258 52798, isAffiliatedTo, 95427 52798, isAffiliatedTo, 16940 52798, isAffiliatedTo, 100322 52798, isAffiliatedTo, 34269 52798, isAffiliatedTo, 53688 52798, isAffiliatedTo, 50609 52798, isAffiliatedTo, 15040 52798, playsFor, 23258 52798, playsFor, 95427 52798, playsFor, 16940 52798, playsFor, 100322 52798, playsFor, 34269 52798, playsFor, 53688 52798, playsFor, 50609 52798, playsFor, 15040 111612, hasGender, 118104 111612, isAffiliatedTo, 53688 111612, playsFor, 53688 22653, hasGender, 118104 Question: For what reason are Persipura_Jayapura and Ángel_Cuéllar associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Persipura_Jayapura", "Ángel_Cuéllar" ], "valid_edges": [ [ "Adrian_Trinidad", "hasGender", "male" ], [ "Adrian_Trinidad", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Adrian_Trinidad", "playsFor", "Persipura_Jayapura" ], [ "Boakay_Eddie_Foday", "hasGender", "male" ], [ "Boakay_Eddie_Foday", "isAffiliatedTo", "Persija_Jakarta" ], [ "Boakay_Eddie_Foday", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Boakay_Eddie_Foday", "playsFor", "Persija_Jakarta" ], [ "Boakay_Eddie_Foday", "playsFor", "Persipura_Jayapura" ], [ "Boaz_Solossa", "hasGender", "male" ], [ "Boaz_Solossa", "isAffiliatedTo", "Indonesia_national_football_team" ], [ "Boaz_Solossa", "isAffiliatedTo", "Indonesia_national_under-23_football_team" ], [ "Boaz_Solossa", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Boaz_Solossa", "playsFor", "Indonesia_national_under-23_football_team" ], [ "Boaz_Solossa", "playsFor", "Persipura_Jayapura" ], [ "Christian_Lenglolo", "playsFor", "Persikota_Tangerang" ], [ "Christian_Lenglolo", "playsFor", "Persipura_Jayapura" ], [ "Elie_Aiboy", "hasGender", "male" ], [ "Elie_Aiboy", "isAffiliatedTo", "Arema_Cronus_F.C." ], [ "Elie_Aiboy", "isAffiliatedTo", "Indonesia_national_football_team" ], [ "Elie_Aiboy", "isAffiliatedTo", "Indonesia_national_under-23_football_team" ], [ "Elie_Aiboy", "isAffiliatedTo", "Persija_Jakarta" ], [ "Elie_Aiboy", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Elie_Aiboy", "isAffiliatedTo", "Semen_Padang_F.C." ], [ "Elie_Aiboy", "playsFor", "Arema_Cronus_F.C." ], [ "Elie_Aiboy", "playsFor", "Persija_Jakarta" ], [ "Elie_Aiboy", "playsFor", "Persipura_Jayapura" ], [ "Elie_Aiboy", "playsFor", "Semen_Padang_F.C." ], [ "Erol_Iba", "hasGender", "male" ], [ "Erol_Iba", "isAffiliatedTo", "Arema_Cronus_F.C." ], [ "Erol_Iba", "isAffiliatedTo", "Gresik_United_F.C." ], [ "Erol_Iba", "isAffiliatedTo", "Indonesia_national_football_team" ], [ "Erol_Iba", "isAffiliatedTo", "Indonesia_national_under-23_football_team" ], [ "Erol_Iba", "isAffiliatedTo", "PSPS_Pekanbaru" ], [ "Erol_Iba", "isAffiliatedTo", "Pelita_Bandung_Raya" ], [ "Erol_Iba", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Erol_Iba", "isAffiliatedTo", "Semen_Padang_F.C." ], [ "Erol_Iba", "playsFor", "Arema_Cronus_F.C." ], [ "Erol_Iba", "playsFor", "Gresik_United_F.C." ], [ "Erol_Iba", "playsFor", "Indonesia_national_football_team" ], [ "Erol_Iba", "playsFor", "Indonesia_national_under-23_football_team" ], [ "Erol_Iba", "playsFor", "PSPS_Pekanbaru" ], [ "Erol_Iba", "playsFor", "Pelita_Bandung_Raya" ], [ "Erol_Iba", "playsFor", "Persipura_Jayapura" ], [ "Erol_Iba", "playsFor", "Semen_Padang_F.C." ], [ "Fernando_Gaston_Soler", "hasGender", "male" ], [ "Fernando_Gaston_Soler", "playsFor", "Persipura_Jayapura" ], [ "Hamka_Hamzah", "isAffiliatedTo", "Indonesia_national_football_team" ], [ "Hamka_Hamzah", "isAffiliatedTo", "Mitra_Kukar_F.C." ], [ "Hamka_Hamzah", "isAffiliatedTo", "PSM_Makassar" ], [ "Hamka_Hamzah", "isAffiliatedTo", "Persija_Jakarta" ], [ "Hamka_Hamzah", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Hamka_Hamzah", "isAffiliatedTo", "Putra_Samarinda_F.C." ], [ "Hamka_Hamzah", "playsFor", "Indonesia_national_football_team" ], [ "Hamka_Hamzah", "playsFor", "Mitra_Kukar_F.C." ], [ "Hamka_Hamzah", "playsFor", "PSM_Makassar" ], [ "Hamka_Hamzah", "playsFor", "Persija_Jakarta" ], [ "Hamka_Hamzah", "playsFor", "Persipura_Jayapura" ], [ "Hamka_Hamzah", "playsFor", "Putra_Samarinda_F.C." ], [ "Hendra_Ridwan", "hasGender", "male" ], [ "Hendra_Ridwan", "playsFor", "Arema_Cronus_F.C." ], [ "Hendra_Ridwan", "playsFor", "Indonesia_national_under-23_football_team" ], [ "Hendra_Ridwan", "playsFor", "Mitra_Kukar_F.C." ], [ "Hendra_Ridwan", "playsFor", "PSM_Makassar" ], [ "Hendra_Ridwan", "playsFor", "Persib_Bandung" ], [ "Hendra_Ridwan", "playsFor", "Persipura_Jayapura" ], [ "Hendra_Ridwan", "playsFor", "Persmin_Minahasa" ], [ "Heru_Nerly", "hasGender", "male" ], [ "Heru_Nerly", "playsFor", "Gresik_United_F.C." ], [ "Heru_Nerly", "playsFor", "Indonesia_national_football_team" ], [ "Heru_Nerly", "playsFor", "PSM_Makassar" ], [ "Heru_Nerly", "playsFor", "Persija_Jakarta" ], [ "Heru_Nerly", "playsFor", "Persipura_Jayapura" ], [ "Heru_Nerly", "playsFor", "Putra_Samarinda_F.C." ], [ "Heru_Nerly", "playsFor", "Semen_Padang_F.C." ], [ "Kim_Jong-kyung", "hasGender", "male" ], [ "Kim_Jong-kyung", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Kim_Jong-kyung", "isAffiliatedTo", "Persitara_North_Jakarta" ], [ "Kim_Jong-kyung", "playsFor", "Persipura_Jayapura" ], [ "Kim_Jong-kyung", "playsFor", "Persitara_North_Jakarta" ], [ "Korintus_Koliopas_Fingkreuw", "hasGender", "male" ], [ "Korintus_Koliopas_Fingkreuw", "isAffiliatedTo", "Indonesia_national_under-23_football_team" ], [ "Korintus_Koliopas_Fingkreuw", "isAffiliatedTo", "PSM_Makassar" ], [ "Korintus_Koliopas_Fingkreuw", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Korintus_Koliopas_Fingkreuw", "playsFor", "Indonesia_national_under-23_football_team" ], [ "Korintus_Koliopas_Fingkreuw", "playsFor", "PSM_Makassar" ], [ "Korintus_Koliopas_Fingkreuw", "playsFor", "Persipura_Jayapura" ], [ "Ortizan_Solossa", "hasGender", "male" ], [ "Ortizan_Solossa", "isAffiliatedTo", "Arema_Cronus_F.C." ], [ "Ortizan_Solossa", "isAffiliatedTo", "Indonesia_national_football_team" ], [ "Ortizan_Solossa", "isAffiliatedTo", "PSM_Makassar" ], [ "Ortizan_Solossa", "isAffiliatedTo", "Persija_Jakarta" ], [ "Ortizan_Solossa", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Ortizan_Solossa", "playsFor", "Arema_Cronus_F.C." ], [ "Ortizan_Solossa", "playsFor", "Indonesia_national_football_team" ], [ "Ortizan_Solossa", "playsFor", "PSM_Makassar" ], [ "Ortizan_Solossa", "playsFor", "Persija_Jakarta" ], [ "Ortizan_Solossa", "playsFor", "Persipura_Jayapura" ], [ "Ricardo_Salampessy", "hasGender", "male" ], [ "Ricardo_Salampessy", "isAffiliatedTo", "Indonesia_national_football_team" ], [ "Ricardo_Salampessy", "isAffiliatedTo", "Indonesia_national_under-23_football_team" ], [ "Ricardo_Salampessy", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Ricardo_Salampessy", "playsFor", "Indonesia_national_football_team" ], [ "Ricardo_Salampessy", "playsFor", "Indonesia_national_under-23_football_team" ], [ "Ricardo_Salampessy", "playsFor", "Persipura_Jayapura" ], [ "Ritham_Madubun", "hasGender", "male" ], [ "Ritham_Madubun", "playsFor", "Indonesia_national_football_team" ], [ "Ritham_Madubun", "playsFor", "PSM_Makassar" ], [ "Ritham_Madubun", "playsFor", "PSPS_Pekanbaru" ], [ "Ritham_Madubun", "playsFor", "Pelita_Bandung_Raya" ], [ "Ritham_Madubun", "playsFor", "Persija_Jakarta" ], [ "Ritham_Madubun", "playsFor", "Persikota_Tangerang" ], [ "Ritham_Madubun", "playsFor", "Persipura_Jayapura" ], [ "Ritham_Madubun", "playsFor", "Persitara_North_Jakarta" ], [ "Ritham_Madubun", "playsFor", "Persma_Manado" ], [ "Robertino_Pugliara", "isAffiliatedTo", "PSM_Makassar" ], [ "Robertino_Pugliara", "isAffiliatedTo", "Persija_Jakarta" ], [ "Robertino_Pugliara", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Robertino_Pugliara", "playsFor", "PSM_Makassar" ], [ "Robertino_Pugliara", "playsFor", "Persija_Jakarta" ], [ "Robertino_Pugliara", "playsFor", "Persipura_Jayapura" ], [ "Yandri_Pitoy", "hasGender", "male" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Indonesia_national_football_team" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Indonesia_national_under-23_football_team" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Persib_Bandung" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Persija_Jakarta" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Persikota_Tangerang" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Persma_Manado" ], [ "Yandri_Pitoy", "isAffiliatedTo", "Persmin_Minahasa" ], [ "Yandri_Pitoy", "playsFor", "Indonesia_national_football_team" ], [ "Yandri_Pitoy", "playsFor", "Indonesia_national_under-23_football_team" ], [ "Yandri_Pitoy", "playsFor", "Persib_Bandung" ], [ "Yandri_Pitoy", "playsFor", "Persija_Jakarta" ], [ "Yandri_Pitoy", "playsFor", "Persikota_Tangerang" ], [ "Yandri_Pitoy", "playsFor", "Persipura_Jayapura" ], [ "Yandri_Pitoy", "playsFor", "Persma_Manado" ], [ "Yandri_Pitoy", "playsFor", "Persmin_Minahasa" ], [ "Zah_Rahan_Krangar", "hasGender", "male" ], [ "Zah_Rahan_Krangar", "isAffiliatedTo", "Persipura_Jayapura" ], [ "Zah_Rahan_Krangar", "playsFor", "Persipura_Jayapura" ], [ "Ángel_Cuéllar", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 18438, Azerbaijan 34650, Grey_Gardens_(2009_film) 115897, Isaac_Pupo 55674, Liberia 3709, Monrovia 32907, Qarabağ_FK 29157, United_States src, edge_attr, dst 18438, dealsWith, 29157 34650, isLocatedIn, 29157 115897, isAffiliatedTo, 32907 115897, playsFor, 32907 115897, wasBornIn, 3709 55674, dealsWith, 29157 55674, hasCapital, 3709 3709, isLocatedIn, 55674 32907, owns, 18438 Question: In what context are Grey_Gardens_(2009_film) and Isaac_Pupo connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Grey_Gardens_(2009_film)", "Isaac_Pupo" ], "valid_edges": [ [ "Azerbaijan", "dealsWith", "United_States" ], [ "Grey_Gardens_(2009_film)", "isLocatedIn", "United_States" ], [ "Isaac_Pupo", "isAffiliatedTo", "Qarabağ_FK" ], [ "Isaac_Pupo", "playsFor", "Qarabağ_FK" ], [ "Isaac_Pupo", "wasBornIn", "Monrovia" ], [ "Liberia", "dealsWith", "United_States" ], [ "Liberia", "hasCapital", "Monrovia" ], [ "Monrovia", "isLocatedIn", "Liberia" ], [ "Qarabağ_FK", "owns", "Azerbaijan" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 49808, David_Sedaris 29157, United_States 16999, Webster_University src, edge_attr, dst 49808, isCitizenOf, 29157 16999, isLocatedIn, 29157 Question: In what context are David_Sedaris and Webster_University connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "David_Sedaris", "Webster_University" ], "valid_edges": [ [ "David_Sedaris", "isCitizenOf", "United_States" ], [ "Webster_University", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 31522, Andrew_Sousa 97389, Denys_Sokolovskyi 32207, Omar_Jarun 90340, Ottawa_Fury_FC 38498, Pogoń_Szczecin src, edge_attr, dst 31522, playsFor, 90340 97389, isAffiliatedTo, 38498 97389, playsFor, 38498 32207, isAffiliatedTo, 90340 32207, isAffiliatedTo, 38498 32207, playsFor, 90340 32207, playsFor, 38498 Question: For what reason are Andrew_Sousa and Denys_Sokolovskyi associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Andrew_Sousa", "Denys_Sokolovskyi" ], "valid_edges": [ [ "Andrew_Sousa", "playsFor", "Ottawa_Fury_FC" ], [ "Denys_Sokolovskyi", "isAffiliatedTo", "Pogoń_Szczecin" ], [ "Denys_Sokolovskyi", "playsFor", "Pogoń_Szczecin" ], [ "Omar_Jarun", "isAffiliatedTo", "Ottawa_Fury_FC" ], [ "Omar_Jarun", "isAffiliatedTo", "Pogoń_Szczecin" ], [ "Omar_Jarun", "playsFor", "Ottawa_Fury_FC" ], [ "Omar_Jarun", "playsFor", "Pogoń_Szczecin" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 29125, 3_Dumb_Clucks 117012, Anja_Andersen 64438, Denmark 40968, FC_Midtjylland_Håndbold 87566, Gro_Hammerseng 62156, Katja_Nyberg 1434, Larvik_HK 59688, Norway 33770, Norway_women's_national_handball_team 29157, United_States 80384, female src, edge_attr, dst 29125, isLocatedIn, 29157 117012, hasGender, 80384 117012, isAffiliatedTo, 40968 117012, isCitizenOf, 64438 117012, playsFor, 40968 64438, dealsWith, 29157 87566, hasGender, 80384 87566, isAffiliatedTo, 40968 87566, isAffiliatedTo, 1434 87566, isAffiliatedTo, 33770 87566, isCitizenOf, 59688 87566, playsFor, 40968 87566, playsFor, 1434 87566, playsFor, 33770 62156, hasGender, 80384 62156, isAffiliatedTo, 40968 62156, isAffiliatedTo, 1434 62156, isAffiliatedTo, 33770 62156, isCitizenOf, 59688 62156, playsFor, 40968 62156, playsFor, 1434 62156, playsFor, 33770 59688, dealsWith, 29157 Question: For what reason are 3_Dumb_Clucks and FC_Midtjylland_Håndbold associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "3_Dumb_Clucks", "FC_Midtjylland_Håndbold" ], "valid_edges": [ [ "3_Dumb_Clucks", "isLocatedIn", "United_States" ], [ "Anja_Andersen", "hasGender", "female" ], [ "Anja_Andersen", "isAffiliatedTo", "FC_Midtjylland_Håndbold" ], [ "Anja_Andersen", "isCitizenOf", "Denmark" ], [ "Anja_Andersen", "playsFor", "FC_Midtjylland_Håndbold" ], [ "Denmark", "dealsWith", "United_States" ], [ "Gro_Hammerseng", "hasGender", "female" ], [ "Gro_Hammerseng", "isAffiliatedTo", "FC_Midtjylland_Håndbold" ], [ "Gro_Hammerseng", "isAffiliatedTo", "Larvik_HK" ], [ "Gro_Hammerseng", "isAffiliatedTo", "Norway_women's_national_handball_team" ], [ "Gro_Hammerseng", "isCitizenOf", "Norway" ], [ "Gro_Hammerseng", "playsFor", "FC_Midtjylland_Håndbold" ], [ "Gro_Hammerseng", "playsFor", "Larvik_HK" ], [ "Gro_Hammerseng", "playsFor", "Norway_women's_national_handball_team" ], [ "Katja_Nyberg", "hasGender", "female" ], [ "Katja_Nyberg", "isAffiliatedTo", "FC_Midtjylland_Håndbold" ], [ "Katja_Nyberg", "isAffiliatedTo", "Larvik_HK" ], [ "Katja_Nyberg", "isAffiliatedTo", "Norway_women's_national_handball_team" ], [ "Katja_Nyberg", "isCitizenOf", "Norway" ], [ "Katja_Nyberg", "playsFor", "FC_Midtjylland_Håndbold" ], [ "Katja_Nyberg", "playsFor", "Larvik_HK" ], [ "Katja_Nyberg", "playsFor", "Norway_women's_national_handball_team" ], [ "Norway", "dealsWith", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 10533, Aldo_Olcese 106410, Alexander_Sánchez 37183, Carlos_Lobatón 43699, Carlos_Orejuela 5344, Carlos_Solis_(footballer) 90493, Cienciano 1663, César_Charún 77289, Damián_Ísmodes 87886, Darío_Muchotrigo 111616, Diego_Bustamante 116300, Edgar_Villamarín 19016, Eduardo_Uribe 87099, Eladio_Reyes 97383, Ernesto_Arakaki 77829, Exar_Rosales 60371, Francisco_De_Paula_Bazán 53439, Franco_Navarro 44383, Freddy_Ternero 71955, GKS_Bełchatów 19062, Gary_Correa 106830, Germán_Carty 99748, Giuliano_Portilla 59221, Javier_Soria 74794, Jhoel_Herrera 39948, Johan_Sotil 24303, Johan_Vásquez 79110, Johnny_Vegas_Fernández 97698, Jorge_Araujo 60802, José_Pereda 26266, Juan_Carlos_Bazalar 85147, Juan_Carlos_Mariño 40047, Juan_Diego_González-Vigil 108240, Juan_Flores_(footballer_born_1976) 5386, Juan_Francisco_Hernández 17625, Juan_Velásquez 79911, Julio_César_Uribe 71421, Lima 3798, Luis_Alberto_Ramírez 48555, Luis_Daniel_Hernández 44490, Manuel_Heredia 102989, Manuel_Marengo 6359, Marcin_Sobczak 107191, Martín_Hidalgo 99741, Martín_Rodríguez_(footballer_born_1968) 126, Michael_Guevara 37883, Miguel_Angel_Torres 122548, Paolo_de_la_Haza 59245, Paul_Cominges 61815, Piero_Alva 102524, Roberto_Mosquera 120576, Roberto_Silva 33280, Román_Ojeda 12044, Ryan_Salazar 106462, Sergio_Ibarra 49705, Unión_Huaral 114748, Víctor_Rossel 4924, Yancarlo_Casas 96990, Édson_Uribe src, edge_attr, dst 10533, isAffiliatedTo, 90493 10533, playsFor, 90493 10533, wasBornIn, 71421 106410, isAffiliatedTo, 71955 106410, playsFor, 71955 106410, wasBornIn, 71421 37183, isAffiliatedTo, 90493 37183, isAffiliatedTo, 49705 37183, playsFor, 90493 37183, playsFor, 49705 37183, wasBornIn, 71421 43699, isAffiliatedTo, 90493 43699, playsFor, 90493 43699, wasBornIn, 71421 5344, isAffiliatedTo, 90493 5344, playsFor, 90493 5344, wasBornIn, 71421 1663, isAffiliatedTo, 90493 1663, isAffiliatedTo, 49705 1663, playsFor, 90493 1663, playsFor, 49705 1663, wasBornIn, 71421 77289, isAffiliatedTo, 90493 77289, playsFor, 90493 77289, wasBornIn, 71421 87886, isAffiliatedTo, 49705 87886, playsFor, 49705 87886, wasBornIn, 71421 111616, isAffiliatedTo, 90493 111616, playsFor, 90493 111616, wasBornIn, 71421 116300, isAffiliatedTo, 90493 116300, isAffiliatedTo, 49705 116300, playsFor, 90493 116300, playsFor, 49705 116300, wasBornIn, 71421 19016, isAffiliatedTo, 49705 19016, playsFor, 49705 19016, wasBornIn, 71421 87099, isAffiliatedTo, 90493 87099, isAffiliatedTo, 49705 97383, isAffiliatedTo, 90493 97383, playsFor, 90493 97383, wasBornIn, 71421 77829, isAffiliatedTo, 90493 77829, isAffiliatedTo, 49705 77829, playsFor, 90493 77829, playsFor, 49705 77829, wasBornIn, 71421 60371, isAffiliatedTo, 90493 60371, playsFor, 90493 60371, wasBornIn, 71421 53439, isAffiliatedTo, 90493 53439, wasBornIn, 71421 44383, isAffiliatedTo, 90493 44383, playsFor, 90493 44383, wasBornIn, 71421 19062, isAffiliatedTo, 90493 19062, playsFor, 90493 19062, wasBornIn, 71421 106830, isAffiliatedTo, 90493 106830, isAffiliatedTo, 49705 106830, playsFor, 90493 106830, playsFor, 49705 99748, isAffiliatedTo, 90493 99748, playsFor, 90493 99748, wasBornIn, 71421 59221, isAffiliatedTo, 90493 59221, playsFor, 90493 59221, wasBornIn, 71421 74794, isAffiliatedTo, 90493 74794, isAffiliatedTo, 71955 74794, isAffiliatedTo, 49705 74794, playsFor, 90493 74794, playsFor, 71955 74794, playsFor, 49705 74794, wasBornIn, 71421 39948, isAffiliatedTo, 49705 39948, playsFor, 49705 39948, wasBornIn, 71421 24303, isAffiliatedTo, 90493 24303, playsFor, 90493 24303, wasBornIn, 71421 79110, isAffiliatedTo, 90493 79110, isAffiliatedTo, 49705 79110, playsFor, 90493 79110, playsFor, 49705 97698, isAffiliatedTo, 90493 97698, playsFor, 90493 97698, wasBornIn, 71421 60802, isAffiliatedTo, 90493 60802, playsFor, 90493 60802, wasBornIn, 71421 26266, isAffiliatedTo, 90493 26266, playsFor, 90493 26266, wasBornIn, 71421 85147, isAffiliatedTo, 90493 85147, playsFor, 90493 85147, wasBornIn, 71421 40047, isAffiliatedTo, 90493 40047, playsFor, 90493 40047, wasBornIn, 71421 108240, isAffiliatedTo, 90493 108240, playsFor, 90493 108240, wasBornIn, 71421 5386, playsFor, 90493 5386, playsFor, 49705 17625, isAffiliatedTo, 90493 17625, isAffiliatedTo, 49705 17625, playsFor, 90493 17625, playsFor, 49705 17625, wasBornIn, 71421 79911, isAffiliatedTo, 90493 79911, wasBornIn, 71421 3798, isAffiliatedTo, 90493 3798, playsFor, 90493 3798, wasBornIn, 71421 48555, isAffiliatedTo, 49705 48555, playsFor, 49705 48555, wasBornIn, 71421 44490, isAffiliatedTo, 90493 44490, playsFor, 90493 44490, wasBornIn, 71421 102989, isAffiliatedTo, 90493 102989, playsFor, 90493 102989, wasBornIn, 71421 6359, isAffiliatedTo, 71955 6359, playsFor, 71955 107191, isAffiliatedTo, 90493 107191, playsFor, 90493 107191, wasBornIn, 71421 99741, isAffiliatedTo, 90493 99741, playsFor, 90493 99741, wasBornIn, 71421 126, isAffiliatedTo, 49705 126, playsFor, 49705 126, wasBornIn, 71421 37883, isAffiliatedTo, 90493 37883, playsFor, 90493 37883, wasBornIn, 71421 122548, isAffiliatedTo, 90493 122548, playsFor, 90493 122548, wasBornIn, 71421 59245, isAffiliatedTo, 90493 59245, playsFor, 90493 59245, wasBornIn, 71421 61815, isAffiliatedTo, 90493 61815, playsFor, 90493 61815, wasBornIn, 71421 102524, isAffiliatedTo, 49705 102524, wasBornIn, 71421 120576, isAffiliatedTo, 90493 120576, playsFor, 90493 120576, wasBornIn, 71421 33280, isAffiliatedTo, 90493 33280, isAffiliatedTo, 49705 33280, playsFor, 90493 33280, playsFor, 49705 12044, isAffiliatedTo, 90493 12044, isAffiliatedTo, 49705 12044, playsFor, 90493 12044, playsFor, 49705 12044, wasBornIn, 71421 106462, isAffiliatedTo, 90493 106462, isAffiliatedTo, 49705 106462, playsFor, 90493 106462, playsFor, 49705 114748, isAffiliatedTo, 90493 114748, playsFor, 90493 114748, wasBornIn, 71421 4924, isAffiliatedTo, 90493 4924, playsFor, 90493 4924, wasBornIn, 71421 96990, playsFor, 90493 96990, playsFor, 49705 Question: For what reason are Edgar_Villamarín and Marcin_Sobczak associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Edgar_Villamarín", "Marcin_Sobczak" ], "valid_edges": [ [ "Aldo_Olcese", "isAffiliatedTo", "Cienciano" ], [ "Aldo_Olcese", "playsFor", "Cienciano" ], [ "Aldo_Olcese", "wasBornIn", "Lima" ], [ "Alexander_Sánchez", "isAffiliatedTo", "GKS_Bełchatów" ], [ "Alexander_Sánchez", "playsFor", "GKS_Bełchatów" ], [ "Alexander_Sánchez", "wasBornIn", "Lima" ], [ "Carlos_Lobatón", "isAffiliatedTo", "Cienciano" ], [ "Carlos_Lobatón", "isAffiliatedTo", "Unión_Huaral" ], [ "Carlos_Lobatón", "playsFor", "Cienciano" ], [ "Carlos_Lobatón", "playsFor", "Unión_Huaral" ], [ "Carlos_Lobatón", "wasBornIn", "Lima" ], [ "Carlos_Orejuela", "isAffiliatedTo", "Cienciano" ], [ "Carlos_Orejuela", "playsFor", "Cienciano" ], [ "Carlos_Orejuela", "wasBornIn", "Lima" ], [ "Carlos_Solis_(footballer)", "isAffiliatedTo", "Cienciano" ], [ "Carlos_Solis_(footballer)", "playsFor", "Cienciano" ], [ "Carlos_Solis_(footballer)", "wasBornIn", "Lima" ], [ "César_Charún", "isAffiliatedTo", "Cienciano" ], [ "César_Charún", "isAffiliatedTo", "Unión_Huaral" ], [ "César_Charún", "playsFor", "Cienciano" ], [ "César_Charún", "playsFor", "Unión_Huaral" ], [ "César_Charún", "wasBornIn", "Lima" ], [ "Damián_Ísmodes", "isAffiliatedTo", "Cienciano" ], [ "Damián_Ísmodes", "playsFor", "Cienciano" ], [ "Damián_Ísmodes", "wasBornIn", "Lima" ], [ "Darío_Muchotrigo", "isAffiliatedTo", "Unión_Huaral" ], [ "Darío_Muchotrigo", "playsFor", "Unión_Huaral" ], [ "Darío_Muchotrigo", "wasBornIn", "Lima" ], [ "Diego_Bustamante", "isAffiliatedTo", "Cienciano" ], [ "Diego_Bustamante", "playsFor", "Cienciano" ], [ "Diego_Bustamante", "wasBornIn", "Lima" ], [ "Edgar_Villamarín", "isAffiliatedTo", "Cienciano" ], [ "Edgar_Villamarín", "isAffiliatedTo", "Unión_Huaral" ], [ "Edgar_Villamarín", "playsFor", "Cienciano" ], [ "Edgar_Villamarín", "playsFor", "Unión_Huaral" ], [ "Edgar_Villamarín", "wasBornIn", "Lima" ], [ "Eduardo_Uribe", "isAffiliatedTo", "Unión_Huaral" ], [ "Eduardo_Uribe", "playsFor", "Unión_Huaral" ], [ "Eduardo_Uribe", "wasBornIn", "Lima" ], [ "Eladio_Reyes", "isAffiliatedTo", "Cienciano" ], [ "Eladio_Reyes", "isAffiliatedTo", "Unión_Huaral" ], [ "Ernesto_Arakaki", "isAffiliatedTo", "Cienciano" ], [ "Ernesto_Arakaki", "playsFor", "Cienciano" ], [ "Ernesto_Arakaki", "wasBornIn", "Lima" ], [ "Exar_Rosales", "isAffiliatedTo", "Cienciano" ], [ "Exar_Rosales", "isAffiliatedTo", "Unión_Huaral" ], [ "Exar_Rosales", "playsFor", "Cienciano" ], [ "Exar_Rosales", "playsFor", "Unión_Huaral" ], [ "Exar_Rosales", "wasBornIn", "Lima" ], [ "Francisco_De_Paula_Bazán", "isAffiliatedTo", "Cienciano" ], [ "Francisco_De_Paula_Bazán", "playsFor", "Cienciano" ], [ "Francisco_De_Paula_Bazán", "wasBornIn", "Lima" ], [ "Franco_Navarro", "isAffiliatedTo", "Cienciano" ], [ "Franco_Navarro", "wasBornIn", "Lima" ], [ "Freddy_Ternero", "isAffiliatedTo", "Cienciano" ], [ "Freddy_Ternero", "playsFor", "Cienciano" ], [ "Freddy_Ternero", "wasBornIn", "Lima" ], [ "Gary_Correa", "isAffiliatedTo", "Cienciano" ], [ "Gary_Correa", "playsFor", "Cienciano" ], [ "Gary_Correa", "wasBornIn", "Lima" ], [ "Germán_Carty", "isAffiliatedTo", "Cienciano" ], [ "Germán_Carty", "isAffiliatedTo", "Unión_Huaral" ], [ "Germán_Carty", "playsFor", "Cienciano" ], [ "Germán_Carty", "playsFor", "Unión_Huaral" ], [ "Giuliano_Portilla", "isAffiliatedTo", "Cienciano" ], [ "Giuliano_Portilla", "playsFor", "Cienciano" ], [ "Giuliano_Portilla", "wasBornIn", "Lima" ], [ "Javier_Soria", "isAffiliatedTo", "Cienciano" ], [ "Javier_Soria", "playsFor", "Cienciano" ], [ "Javier_Soria", "wasBornIn", "Lima" ], [ "Jhoel_Herrera", "isAffiliatedTo", "Cienciano" ], [ "Jhoel_Herrera", "isAffiliatedTo", "GKS_Bełchatów" ], [ "Jhoel_Herrera", "isAffiliatedTo", "Unión_Huaral" ], [ "Jhoel_Herrera", "playsFor", "Cienciano" ], [ "Jhoel_Herrera", "playsFor", "GKS_Bełchatów" ], [ "Jhoel_Herrera", "playsFor", "Unión_Huaral" ], [ "Jhoel_Herrera", "wasBornIn", "Lima" ], [ "Johan_Sotil", "isAffiliatedTo", "Unión_Huaral" ], [ "Johan_Sotil", "playsFor", "Unión_Huaral" ], [ "Johan_Sotil", "wasBornIn", "Lima" ], [ "Johan_Vásquez", "isAffiliatedTo", "Cienciano" ], [ "Johan_Vásquez", "playsFor", "Cienciano" ], [ "Johan_Vásquez", "wasBornIn", "Lima" ], [ "Johnny_Vegas_Fernández", "isAffiliatedTo", "Cienciano" ], [ "Johnny_Vegas_Fernández", "isAffiliatedTo", "Unión_Huaral" ], [ "Johnny_Vegas_Fernández", "playsFor", "Cienciano" ], [ "Johnny_Vegas_Fernández", "playsFor", "Unión_Huaral" ], [ "Jorge_Araujo", "isAffiliatedTo", "Cienciano" ], [ "Jorge_Araujo", "playsFor", "Cienciano" ], [ "Jorge_Araujo", "wasBornIn", "Lima" ], [ "José_Pereda", "isAffiliatedTo", "Cienciano" ], [ "José_Pereda", "playsFor", "Cienciano" ], [ "José_Pereda", "wasBornIn", "Lima" ], [ "Juan_Carlos_Bazalar", "isAffiliatedTo", "Cienciano" ], [ "Juan_Carlos_Bazalar", "playsFor", "Cienciano" ], [ "Juan_Carlos_Bazalar", "wasBornIn", "Lima" ], [ "Juan_Carlos_Mariño", "isAffiliatedTo", "Cienciano" ], [ "Juan_Carlos_Mariño", "playsFor", "Cienciano" ], [ "Juan_Carlos_Mariño", "wasBornIn", "Lima" ], [ "Juan_Diego_González-Vigil", "isAffiliatedTo", "Cienciano" ], [ "Juan_Diego_González-Vigil", "playsFor", "Cienciano" ], [ "Juan_Diego_González-Vigil", "wasBornIn", "Lima" ], [ "Juan_Flores_(footballer_born_1976)", "isAffiliatedTo", "Cienciano" ], [ "Juan_Flores_(footballer_born_1976)", "playsFor", "Cienciano" ], [ "Juan_Flores_(footballer_born_1976)", "wasBornIn", "Lima" ], [ "Juan_Francisco_Hernández", "playsFor", "Cienciano" ], [ "Juan_Francisco_Hernández", "playsFor", "Unión_Huaral" ], [ "Juan_Velásquez", "isAffiliatedTo", "Cienciano" ], [ "Juan_Velásquez", "isAffiliatedTo", "Unión_Huaral" ], [ "Juan_Velásquez", "playsFor", "Cienciano" ], [ "Juan_Velásquez", "playsFor", "Unión_Huaral" ], [ "Juan_Velásquez", "wasBornIn", "Lima" ], [ "Julio_César_Uribe", "isAffiliatedTo", "Cienciano" ], [ "Julio_César_Uribe", "wasBornIn", "Lima" ], [ "Luis_Alberto_Ramírez", "isAffiliatedTo", "Cienciano" ], [ "Luis_Alberto_Ramírez", "playsFor", "Cienciano" ], [ "Luis_Alberto_Ramírez", "wasBornIn", "Lima" ], [ "Luis_Daniel_Hernández", "isAffiliatedTo", "Unión_Huaral" ], [ "Luis_Daniel_Hernández", "playsFor", "Unión_Huaral" ], [ "Luis_Daniel_Hernández", "wasBornIn", "Lima" ], [ "Manuel_Heredia", "isAffiliatedTo", "Cienciano" ], [ "Manuel_Heredia", "playsFor", "Cienciano" ], [ "Manuel_Heredia", "wasBornIn", "Lima" ], [ "Manuel_Marengo", "isAffiliatedTo", "Cienciano" ], [ "Manuel_Marengo", "playsFor", "Cienciano" ], [ "Manuel_Marengo", "wasBornIn", "Lima" ], [ "Marcin_Sobczak", "isAffiliatedTo", "GKS_Bełchatów" ], [ "Marcin_Sobczak", "playsFor", "GKS_Bełchatów" ], [ "Martín_Hidalgo", "isAffiliatedTo", "Cienciano" ], [ "Martín_Hidalgo", "playsFor", "Cienciano" ], [ "Martín_Hidalgo", "wasBornIn", "Lima" ], [ "Martín_Rodríguez_(footballer_born_1968)", "isAffiliatedTo", "Cienciano" ], [ "Martín_Rodríguez_(footballer_born_1968)", "playsFor", "Cienciano" ], [ "Martín_Rodríguez_(footballer_born_1968)", "wasBornIn", "Lima" ], [ "Michael_Guevara", "isAffiliatedTo", "Unión_Huaral" ], [ "Michael_Guevara", "playsFor", "Unión_Huaral" ], [ "Michael_Guevara", "wasBornIn", "Lima" ], [ "Miguel_Angel_Torres", "isAffiliatedTo", "Cienciano" ], [ "Miguel_Angel_Torres", "playsFor", "Cienciano" ], [ "Miguel_Angel_Torres", "wasBornIn", "Lima" ], [ "Paolo_de_la_Haza", "isAffiliatedTo", "Cienciano" ], [ "Paolo_de_la_Haza", "playsFor", "Cienciano" ], [ "Paolo_de_la_Haza", "wasBornIn", "Lima" ], [ "Paul_Cominges", "isAffiliatedTo", "Cienciano" ], [ "Paul_Cominges", "playsFor", "Cienciano" ], [ "Paul_Cominges", "wasBornIn", "Lima" ], [ "Piero_Alva", "isAffiliatedTo", "Cienciano" ], [ "Piero_Alva", "playsFor", "Cienciano" ], [ "Piero_Alva", "wasBornIn", "Lima" ], [ "Roberto_Mosquera", "isAffiliatedTo", "Unión_Huaral" ], [ "Roberto_Mosquera", "wasBornIn", "Lima" ], [ "Roberto_Silva", "isAffiliatedTo", "Cienciano" ], [ "Roberto_Silva", "playsFor", "Cienciano" ], [ "Roberto_Silva", "wasBornIn", "Lima" ], [ "Román_Ojeda", "isAffiliatedTo", "Cienciano" ], [ "Román_Ojeda", "isAffiliatedTo", "Unión_Huaral" ], [ "Román_Ojeda", "playsFor", "Cienciano" ], [ "Román_Ojeda", "playsFor", "Unión_Huaral" ], [ "Ryan_Salazar", "isAffiliatedTo", "Cienciano" ], [ "Ryan_Salazar", "isAffiliatedTo", "Unión_Huaral" ], [ "Ryan_Salazar", "playsFor", "Cienciano" ], [ "Ryan_Salazar", "playsFor", "Unión_Huaral" ], [ "Ryan_Salazar", "wasBornIn", "Lima" ], [ "Sergio_Ibarra", "isAffiliatedTo", "Cienciano" ], [ "Sergio_Ibarra", "isAffiliatedTo", "Unión_Huaral" ], [ "Sergio_Ibarra", "playsFor", "Cienciano" ], [ "Sergio_Ibarra", "playsFor", "Unión_Huaral" ], [ "Víctor_Rossel", "isAffiliatedTo", "Cienciano" ], [ "Víctor_Rossel", "playsFor", "Cienciano" ], [ "Víctor_Rossel", "wasBornIn", "Lima" ], [ "Yancarlo_Casas", "isAffiliatedTo", "Cienciano" ], [ "Yancarlo_Casas", "playsFor", "Cienciano" ], [ "Yancarlo_Casas", "wasBornIn", "Lima" ], [ "Édson_Uribe", "playsFor", "Cienciano" ], [ "Édson_Uribe", "playsFor", "Unión_Huaral" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 61411, Agil_Nabiyev 115055, Aleksandr_Chertoganov 28693, Andrey_Popoviç 104632, Ashoka 55084, Aslan_Kerimov 18438, Azerbaijan 35559, Bakhtiyar_Musayev 12998, Baku_FC 45628, Cliffhanger_(film) 88144, Dmitriy_Kramarenko 75828, Elshan_Gambarov 2396, Emin_Imamaliev 42293, Emin_Quliyev 86865, Farid_Guliyev 86409, Ilgar_Abdurahmanov 67735, Jamshid_Maharramov 52507, Jeyhun_Sultanov 107931, Juninho_Petrolina 92839, Kamran_Agayev 6102, Kapaz_PFK 84671, Khazar_Lankaran_FK 41266, Mahmud_Qurbanov 110006, Osvaldo_José_Martins_Júnior 56357, Radomir_Todorov 108582, Ramazan_Abbasov 69637, Ramiz_Mammadov 109483, Rashad_Abdullayev 87317, Ruslan_Majidov 50690, Samir_Aliyev 48765, Saşa_Yunisoğlu 4887, Shahin_Diniyev 2407, Stevan_Bates 118090, Sumgayit_FK 29157, United_States 90816, Uğur_Pamuk 19388, Vyacheslav_Lychkin 52629, Winston_Parks 460, Zaur_Ramazanov src, edge_attr, dst 61411, isAffiliatedTo, 12998 61411, isAffiliatedTo, 118090 61411, playsFor, 12998 61411, playsFor, 118090 115055, isAffiliatedTo, 12998 115055, isAffiliatedTo, 118090 115055, playsFor, 12998 115055, playsFor, 118090 28693, isAffiliatedTo, 12998 28693, isAffiliatedTo, 118090 28693, playsFor, 12998 28693, playsFor, 118090 104632, playsFor, 12998 104632, playsFor, 6102 104632, playsFor, 84671 55084, isAffiliatedTo, 12998 55084, isAffiliatedTo, 6102 55084, playsFor, 12998 55084, playsFor, 6102 18438, dealsWith, 29157 35559, playsFor, 12998 35559, playsFor, 84671 12998, owns, 18438 45628, isLocatedIn, 29157 88144, isAffiliatedTo, 12998 88144, isAffiliatedTo, 84671 88144, playsFor, 12998 88144, playsFor, 84671 75828, isAffiliatedTo, 12998 75828, isAffiliatedTo, 6102 75828, playsFor, 12998 75828, playsFor, 6102 2396, isAffiliatedTo, 12998 2396, isAffiliatedTo, 6102 2396, playsFor, 12998 2396, playsFor, 6102 42293, isAffiliatedTo, 12998 42293, isAffiliatedTo, 6102 42293, isAffiliatedTo, 84671 42293, playsFor, 12998 42293, playsFor, 6102 42293, playsFor, 84671 86865, isAffiliatedTo, 12998 86865, isAffiliatedTo, 6102 86865, isAffiliatedTo, 118090 86865, playsFor, 12998 86865, playsFor, 6102 86865, playsFor, 118090 86409, playsFor, 12998 86409, playsFor, 84671 67735, isAffiliatedTo, 12998 67735, isAffiliatedTo, 6102 67735, playsFor, 12998 67735, playsFor, 6102 52507, isAffiliatedTo, 12998 52507, isAffiliatedTo, 6102 52507, isAffiliatedTo, 84671 52507, isAffiliatedTo, 118090 52507, playsFor, 12998 52507, playsFor, 6102 52507, playsFor, 84671 52507, playsFor, 118090 107931, isAffiliatedTo, 6102 107931, isAffiliatedTo, 84671 107931, playsFor, 6102 107931, playsFor, 84671 92839, isAffiliatedTo, 12998 92839, isAffiliatedTo, 84671 92839, playsFor, 12998 92839, playsFor, 84671 6102, owns, 18438 84671, owns, 18438 41266, isAffiliatedTo, 12998 41266, isAffiliatedTo, 6102 41266, isAffiliatedTo, 84671 41266, isAffiliatedTo, 118090 41266, playsFor, 12998 41266, playsFor, 6102 41266, playsFor, 84671 41266, playsFor, 118090 110006, isAffiliatedTo, 12998 110006, isAffiliatedTo, 84671 110006, playsFor, 12998 110006, playsFor, 84671 56357, isAffiliatedTo, 12998 56357, isAffiliatedTo, 84671 56357, playsFor, 12998 56357, playsFor, 84671 108582, isAffiliatedTo, 12998 108582, isAffiliatedTo, 6102 108582, isAffiliatedTo, 84671 108582, isAffiliatedTo, 118090 108582, playsFor, 12998 108582, playsFor, 6102 108582, playsFor, 84671 108582, playsFor, 118090 69637, isAffiliatedTo, 12998 69637, isAffiliatedTo, 6102 69637, playsFor, 12998 69637, playsFor, 6102 109483, isAffiliatedTo, 12998 109483, isAffiliatedTo, 84671 109483, playsFor, 12998 109483, playsFor, 84671 87317, isAffiliatedTo, 6102 87317, isAffiliatedTo, 118090 87317, playsFor, 6102 87317, playsFor, 118090 50690, isAffiliatedTo, 12998 50690, isAffiliatedTo, 6102 50690, isAffiliatedTo, 84671 50690, playsFor, 12998 50690, playsFor, 6102 50690, playsFor, 84671 48765, isAffiliatedTo, 12998 48765, isAffiliatedTo, 118090 48765, playsFor, 12998 48765, playsFor, 118090 4887, isAffiliatedTo, 12998 4887, isAffiliatedTo, 6102 4887, playsFor, 12998 4887, playsFor, 6102 2407, isAffiliatedTo, 12998 2407, isAffiliatedTo, 84671 2407, playsFor, 12998 2407, playsFor, 84671 118090, owns, 18438 90816, isAffiliatedTo, 84671 90816, isAffiliatedTo, 118090 90816, playsFor, 84671 90816, playsFor, 118090 19388, playsFor, 12998 19388, playsFor, 6102 52629, isAffiliatedTo, 12998 52629, isAffiliatedTo, 84671 52629, playsFor, 12998 52629, playsFor, 84671 460, isAffiliatedTo, 12998 460, isAffiliatedTo, 84671 460, playsFor, 12998 460, playsFor, 84671 Question: For what reason are Cliffhanger_(film) and Ramazan_Abbasov associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Cliffhanger_(film)", "Ramazan_Abbasov" ], "valid_edges": [ [ "Agil_Nabiyev", "isAffiliatedTo", "Baku_FC" ], [ "Agil_Nabiyev", "isAffiliatedTo", "Sumgayit_FK" ], [ "Agil_Nabiyev", "playsFor", "Baku_FC" ], [ "Agil_Nabiyev", "playsFor", "Sumgayit_FK" ], [ "Aleksandr_Chertoganov", "isAffiliatedTo", "Baku_FC" ], [ "Aleksandr_Chertoganov", "isAffiliatedTo", "Sumgayit_FK" ], [ "Aleksandr_Chertoganov", "playsFor", "Baku_FC" ], [ "Aleksandr_Chertoganov", "playsFor", "Sumgayit_FK" ], [ "Andrey_Popoviç", "isAffiliatedTo", "Baku_FC" ], [ "Andrey_Popoviç", "isAffiliatedTo", "Sumgayit_FK" ], [ "Andrey_Popoviç", "playsFor", "Baku_FC" ], [ "Andrey_Popoviç", "playsFor", "Sumgayit_FK" ], [ "Ashoka", "playsFor", "Baku_FC" ], [ "Ashoka", "playsFor", "Kapaz_PFK" ], [ "Ashoka", "playsFor", "Khazar_Lankaran_FK" ], [ "Aslan_Kerimov", "isAffiliatedTo", "Baku_FC" ], [ "Aslan_Kerimov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Aslan_Kerimov", "playsFor", "Baku_FC" ], [ "Aslan_Kerimov", "playsFor", "Kapaz_PFK" ], [ "Azerbaijan", "dealsWith", "United_States" ], [ "Bakhtiyar_Musayev", "playsFor", "Baku_FC" ], [ "Bakhtiyar_Musayev", "playsFor", "Khazar_Lankaran_FK" ], [ "Baku_FC", "owns", "Azerbaijan" ], [ "Cliffhanger_(film)", "isLocatedIn", "United_States" ], [ "Dmitriy_Kramarenko", "isAffiliatedTo", "Baku_FC" ], [ "Dmitriy_Kramarenko", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Dmitriy_Kramarenko", "playsFor", "Baku_FC" ], [ "Dmitriy_Kramarenko", "playsFor", "Khazar_Lankaran_FK" ], [ "Elshan_Gambarov", "isAffiliatedTo", "Baku_FC" ], [ "Elshan_Gambarov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Elshan_Gambarov", "playsFor", "Baku_FC" ], [ "Elshan_Gambarov", "playsFor", "Kapaz_PFK" ], [ "Emin_Imamaliev", "isAffiliatedTo", "Baku_FC" ], [ "Emin_Imamaliev", "isAffiliatedTo", "Kapaz_PFK" ], [ "Emin_Imamaliev", "playsFor", "Baku_FC" ], [ "Emin_Imamaliev", "playsFor", "Kapaz_PFK" ], [ "Emin_Quliyev", "isAffiliatedTo", "Baku_FC" ], [ "Emin_Quliyev", "isAffiliatedTo", "Kapaz_PFK" ], [ "Emin_Quliyev", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Emin_Quliyev", "playsFor", "Baku_FC" ], [ "Emin_Quliyev", "playsFor", "Kapaz_PFK" ], [ "Emin_Quliyev", "playsFor", "Khazar_Lankaran_FK" ], [ "Farid_Guliyev", "isAffiliatedTo", "Baku_FC" ], [ "Farid_Guliyev", "isAffiliatedTo", "Kapaz_PFK" ], [ "Farid_Guliyev", "isAffiliatedTo", "Sumgayit_FK" ], [ "Farid_Guliyev", "playsFor", "Baku_FC" ], [ "Farid_Guliyev", "playsFor", "Kapaz_PFK" ], [ "Farid_Guliyev", "playsFor", "Sumgayit_FK" ], [ "Ilgar_Abdurahmanov", "playsFor", "Baku_FC" ], [ "Ilgar_Abdurahmanov", "playsFor", "Khazar_Lankaran_FK" ], [ "Jamshid_Maharramov", "isAffiliatedTo", "Baku_FC" ], [ "Jamshid_Maharramov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Jamshid_Maharramov", "playsFor", "Baku_FC" ], [ "Jamshid_Maharramov", "playsFor", "Kapaz_PFK" ], [ "Jeyhun_Sultanov", "isAffiliatedTo", "Baku_FC" ], [ "Jeyhun_Sultanov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Jeyhun_Sultanov", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Jeyhun_Sultanov", "isAffiliatedTo", "Sumgayit_FK" ], [ "Jeyhun_Sultanov", "playsFor", "Baku_FC" ], [ "Jeyhun_Sultanov", "playsFor", "Kapaz_PFK" ], [ "Jeyhun_Sultanov", "playsFor", "Khazar_Lankaran_FK" ], [ "Jeyhun_Sultanov", "playsFor", "Sumgayit_FK" ], [ "Juninho_Petrolina", "isAffiliatedTo", "Kapaz_PFK" ], [ "Juninho_Petrolina", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Juninho_Petrolina", "playsFor", "Kapaz_PFK" ], [ "Juninho_Petrolina", "playsFor", "Khazar_Lankaran_FK" ], [ "Kamran_Agayev", "isAffiliatedTo", "Baku_FC" ], [ "Kamran_Agayev", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Kamran_Agayev", "playsFor", "Baku_FC" ], [ "Kamran_Agayev", "playsFor", "Khazar_Lankaran_FK" ], [ "Kapaz_PFK", "owns", "Azerbaijan" ], [ "Khazar_Lankaran_FK", "owns", "Azerbaijan" ], [ "Mahmud_Qurbanov", "isAffiliatedTo", "Baku_FC" ], [ "Mahmud_Qurbanov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Mahmud_Qurbanov", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Mahmud_Qurbanov", "isAffiliatedTo", "Sumgayit_FK" ], [ "Mahmud_Qurbanov", "playsFor", "Baku_FC" ], [ "Mahmud_Qurbanov", "playsFor", "Kapaz_PFK" ], [ "Mahmud_Qurbanov", "playsFor", "Khazar_Lankaran_FK" ], [ "Mahmud_Qurbanov", "playsFor", "Sumgayit_FK" ], [ "Osvaldo_José_Martins_Júnior", "isAffiliatedTo", "Baku_FC" ], [ "Osvaldo_José_Martins_Júnior", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Osvaldo_José_Martins_Júnior", "playsFor", "Baku_FC" ], [ "Osvaldo_José_Martins_Júnior", "playsFor", "Khazar_Lankaran_FK" ], [ "Radomir_Todorov", "isAffiliatedTo", "Baku_FC" ], [ "Radomir_Todorov", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Radomir_Todorov", "playsFor", "Baku_FC" ], [ "Radomir_Todorov", "playsFor", "Khazar_Lankaran_FK" ], [ "Ramazan_Abbasov", "isAffiliatedTo", "Baku_FC" ], [ "Ramazan_Abbasov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Ramazan_Abbasov", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Ramazan_Abbasov", "isAffiliatedTo", "Sumgayit_FK" ], [ "Ramazan_Abbasov", "playsFor", "Baku_FC" ], [ "Ramazan_Abbasov", "playsFor", "Kapaz_PFK" ], [ "Ramazan_Abbasov", "playsFor", "Khazar_Lankaran_FK" ], [ "Ramazan_Abbasov", "playsFor", "Sumgayit_FK" ], [ "Ramiz_Mammadov", "isAffiliatedTo", "Baku_FC" ], [ "Ramiz_Mammadov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Ramiz_Mammadov", "playsFor", "Baku_FC" ], [ "Ramiz_Mammadov", "playsFor", "Kapaz_PFK" ], [ "Rashad_Abdullayev", "isAffiliatedTo", "Baku_FC" ], [ "Rashad_Abdullayev", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Rashad_Abdullayev", "playsFor", "Baku_FC" ], [ "Rashad_Abdullayev", "playsFor", "Khazar_Lankaran_FK" ], [ "Ruslan_Majidov", "isAffiliatedTo", "Kapaz_PFK" ], [ "Ruslan_Majidov", "isAffiliatedTo", "Sumgayit_FK" ], [ "Ruslan_Majidov", "playsFor", "Kapaz_PFK" ], [ "Ruslan_Majidov", "playsFor", "Sumgayit_FK" ], [ "Samir_Aliyev", "isAffiliatedTo", "Baku_FC" ], [ "Samir_Aliyev", "isAffiliatedTo", "Kapaz_PFK" ], [ "Samir_Aliyev", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Samir_Aliyev", "playsFor", "Baku_FC" ], [ "Samir_Aliyev", "playsFor", "Kapaz_PFK" ], [ "Samir_Aliyev", "playsFor", "Khazar_Lankaran_FK" ], [ "Saşa_Yunisoğlu", "isAffiliatedTo", "Baku_FC" ], [ "Saşa_Yunisoğlu", "isAffiliatedTo", "Sumgayit_FK" ], [ "Saşa_Yunisoğlu", "playsFor", "Baku_FC" ], [ "Saşa_Yunisoğlu", "playsFor", "Sumgayit_FK" ], [ "Shahin_Diniyev", "isAffiliatedTo", "Baku_FC" ], [ "Shahin_Diniyev", "isAffiliatedTo", "Kapaz_PFK" ], [ "Shahin_Diniyev", "playsFor", "Baku_FC" ], [ "Shahin_Diniyev", "playsFor", "Kapaz_PFK" ], [ "Stevan_Bates", "isAffiliatedTo", "Baku_FC" ], [ "Stevan_Bates", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Stevan_Bates", "playsFor", "Baku_FC" ], [ "Stevan_Bates", "playsFor", "Khazar_Lankaran_FK" ], [ "Sumgayit_FK", "owns", "Azerbaijan" ], [ "Uğur_Pamuk", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Uğur_Pamuk", "isAffiliatedTo", "Sumgayit_FK" ], [ "Uğur_Pamuk", "playsFor", "Khazar_Lankaran_FK" ], [ "Uğur_Pamuk", "playsFor", "Sumgayit_FK" ], [ "Vyacheslav_Lychkin", "playsFor", "Baku_FC" ], [ "Vyacheslav_Lychkin", "playsFor", "Kapaz_PFK" ], [ "Winston_Parks", "isAffiliatedTo", "Baku_FC" ], [ "Winston_Parks", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Winston_Parks", "playsFor", "Baku_FC" ], [ "Winston_Parks", "playsFor", "Khazar_Lankaran_FK" ], [ "Zaur_Ramazanov", "isAffiliatedTo", "Baku_FC" ], [ "Zaur_Ramazanov", "isAffiliatedTo", "Khazar_Lankaran_FK" ], [ "Zaur_Ramazanov", "playsFor", "Baku_FC" ], [ "Zaur_Ramazanov", "playsFor", "Khazar_Lankaran_FK" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 95052, BK_Astrio 3129, Charles_the_Bald 95024, Charles_the_Fat 13052, Charles_the_Simple 3993, Compiègne 43336, Erik_Wahlstedt 75846, Guy,_Count_of_Flanders 101640, IFK_Göteborg 64639, John,_Dauphin_of_France,_Duke_of_Touraine 20762, Lee_Baxter 6080, Louis_the_Pious 102794, Louis_the_Stammerer 63926, Nolan_Roux 118104, male src, edge_attr, dst 3129, hasChild, 95024 3129, hasChild, 102794 3129, hasGender, 118104 95024, hasChild, 13052 95024, hasGender, 118104 13052, hasGender, 118104 43336, hasGender, 118104 43336, isAffiliatedTo, 95052 43336, isAffiliatedTo, 101640 43336, playsFor, 95052 43336, playsFor, 101640 75846, diedIn, 3993 75846, hasGender, 118104 64639, diedIn, 3993 64639, hasGender, 118104 20762, hasGender, 118104 20762, isAffiliatedTo, 95052 20762, isAffiliatedTo, 101640 20762, playsFor, 95052 20762, playsFor, 101640 6080, hasChild, 3129 6080, hasGender, 118104 102794, diedIn, 3993 102794, hasChild, 13052 102794, hasGender, 118104 63926, hasGender, 118104 63926, wasBornIn, 3993 Question: For what reason are BK_Astrio and Louis_the_Stammerer associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "BK_Astrio", "Louis_the_Stammerer" ], "valid_edges": [ [ "Charles_the_Bald", "hasChild", "Charles_the_Fat" ], [ "Charles_the_Bald", "hasChild", "Louis_the_Stammerer" ], [ "Charles_the_Bald", "hasGender", "male" ], [ "Charles_the_Fat", "hasChild", "Charles_the_Simple" ], [ "Charles_the_Fat", "hasGender", "male" ], [ "Charles_the_Simple", "hasGender", "male" ], [ "Erik_Wahlstedt", "hasGender", "male" ], [ "Erik_Wahlstedt", "isAffiliatedTo", "BK_Astrio" ], [ "Erik_Wahlstedt", "isAffiliatedTo", "IFK_Göteborg" ], [ "Erik_Wahlstedt", "playsFor", "BK_Astrio" ], [ "Erik_Wahlstedt", "playsFor", "IFK_Göteborg" ], [ "Guy,_Count_of_Flanders", "diedIn", "Compiègne" ], [ "Guy,_Count_of_Flanders", "hasGender", "male" ], [ "John,_Dauphin_of_France,_Duke_of_Touraine", "diedIn", "Compiègne" ], [ "John,_Dauphin_of_France,_Duke_of_Touraine", "hasGender", "male" ], [ "Lee_Baxter", "hasGender", "male" ], [ "Lee_Baxter", "isAffiliatedTo", "BK_Astrio" ], [ "Lee_Baxter", "isAffiliatedTo", "IFK_Göteborg" ], [ "Lee_Baxter", "playsFor", "BK_Astrio" ], [ "Lee_Baxter", "playsFor", "IFK_Göteborg" ], [ "Louis_the_Pious", "hasChild", "Charles_the_Bald" ], [ "Louis_the_Pious", "hasGender", "male" ], [ "Louis_the_Stammerer", "diedIn", "Compiègne" ], [ "Louis_the_Stammerer", "hasChild", "Charles_the_Simple" ], [ "Louis_the_Stammerer", "hasGender", "male" ], [ "Nolan_Roux", "hasGender", "male" ], [ "Nolan_Roux", "wasBornIn", "Compiègne" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 83615, Alex_Revell 105600, Amara_Simba 78329, Andy_Brownrigg 51585, Andy_Turner_(footballer) 40044, Barnet_F.C. 69105, Bob_Mayer 18534, Chris_Swailes 108725, Claude_Stephane_Seanla 113291, Craig_Dobson 117277, Craig_McAllister 7304, David_Watson_(footballer_born_1946) 51103, Doris_Angleton 43240, Dwane_Lee 3472, Elliott_Charles 119878, Exodus_Geohaghon 96122, Freddie_Warren_(footballer_born_1992) 48929, Guy_Branston 34945, Jamie_Waite 117769, John_Canning,_Jr. 91109, Junior_McDougald 108817, Keith_Alexander_(footballer) 88550, Kettering_Town_F.C. 84801, Kevin_Watson 103370, Kieron_St_Aimie 49058, Mark_Schiavi 42891, Paolo_Vernazza 16268, Paul_Furlong 184, Paul_Pettinger 90571, Paul_Warne 17825, Richard_Graham_(Northern_Ireland_footballer) 22579, Richie_Partridge 104930, Robert_Mutchell 28228, Roger_Willis 103706, Rossi_Jarvis 29264, Rotherham_United_F.C. 57821, Roy_Essandoh 66975, Scott_Smith_(footballer_born_1975) 6255, Stanley_O'Neal 92582, Tarkan_Mustafa 28593, The_Poseidon_Adventure_(1972_film) 85104, Trevor_Slack 29157, United_States src, edge_attr, dst 83615, isAffiliatedTo, 88550 83615, isAffiliatedTo, 29264 83615, playsFor, 88550 83615, playsFor, 29264 105600, isAffiliatedTo, 40044 105600, isAffiliatedTo, 88550 105600, playsFor, 40044 105600, playsFor, 88550 78329, isAffiliatedTo, 88550 78329, isAffiliatedTo, 29264 78329, playsFor, 88550 78329, playsFor, 29264 51585, isAffiliatedTo, 88550 51585, isAffiliatedTo, 29264 51585, playsFor, 88550 51585, playsFor, 29264 69105, isCitizenOf, 29157 69105, playsFor, 88550 18534, isAffiliatedTo, 88550 18534, isAffiliatedTo, 29264 18534, playsFor, 88550 18534, playsFor, 29264 108725, isAffiliatedTo, 40044 108725, isAffiliatedTo, 88550 108725, playsFor, 40044 108725, playsFor, 88550 113291, isAffiliatedTo, 40044 113291, isAffiliatedTo, 88550 113291, playsFor, 40044 113291, playsFor, 88550 117277, isAffiliatedTo, 40044 117277, isAffiliatedTo, 29264 117277, playsFor, 40044 117277, playsFor, 29264 7304, isAffiliatedTo, 88550 7304, isAffiliatedTo, 29264 7304, playsFor, 88550 7304, playsFor, 29264 51103, isCitizenOf, 29157 51103, playsFor, 40044 43240, isAffiliatedTo, 40044 43240, isAffiliatedTo, 88550 43240, playsFor, 40044 43240, playsFor, 88550 3472, isAffiliatedTo, 40044 3472, isAffiliatedTo, 88550 3472, playsFor, 40044 3472, playsFor, 88550 119878, isAffiliatedTo, 40044 119878, isAffiliatedTo, 88550 119878, isAffiliatedTo, 29264 119878, playsFor, 40044 119878, playsFor, 88550 119878, playsFor, 29264 96122, playsFor, 40044 96122, playsFor, 88550 48929, isAffiliatedTo, 88550 48929, isAffiliatedTo, 29264 48929, playsFor, 88550 48929, playsFor, 29264 34945, isAffiliatedTo, 88550 34945, isAffiliatedTo, 29264 34945, playsFor, 88550 34945, playsFor, 29264 117769, isCitizenOf, 29157 117769, playsFor, 29264 91109, isAffiliatedTo, 88550 91109, isAffiliatedTo, 29264 91109, playsFor, 88550 91109, playsFor, 29264 108817, isAffiliatedTo, 40044 108817, isAffiliatedTo, 88550 108817, playsFor, 40044 108817, playsFor, 88550 84801, isAffiliatedTo, 40044 84801, isAffiliatedTo, 29264 84801, playsFor, 40044 84801, playsFor, 29264 103370, isAffiliatedTo, 40044 103370, isAffiliatedTo, 88550 103370, playsFor, 40044 103370, playsFor, 88550 49058, playsFor, 40044 49058, playsFor, 88550 42891, isAffiliatedTo, 40044 42891, isAffiliatedTo, 29264 42891, playsFor, 40044 42891, playsFor, 29264 16268, isAffiliatedTo, 40044 16268, isAffiliatedTo, 88550 16268, playsFor, 40044 16268, playsFor, 88550 184, isAffiliatedTo, 88550 184, isAffiliatedTo, 29264 184, playsFor, 88550 184, playsFor, 29264 90571, isAffiliatedTo, 88550 90571, isAffiliatedTo, 29264 90571, playsFor, 88550 90571, playsFor, 29264 17825, isAffiliatedTo, 40044 17825, isAffiliatedTo, 88550 17825, playsFor, 40044 17825, playsFor, 88550 22579, isAffiliatedTo, 29264 22579, playsFor, 88550 22579, playsFor, 29264 104930, isAffiliatedTo, 40044 104930, isAffiliatedTo, 88550 104930, playsFor, 40044 104930, playsFor, 88550 28228, isAffiliatedTo, 40044 28228, isAffiliatedTo, 88550 28228, playsFor, 40044 28228, playsFor, 88550 103706, isAffiliatedTo, 40044 103706, isAffiliatedTo, 29264 103706, playsFor, 40044 103706, playsFor, 29264 57821, isAffiliatedTo, 40044 57821, isAffiliatedTo, 88550 57821, playsFor, 40044 57821, playsFor, 88550 66975, isAffiliatedTo, 88550 66975, isAffiliatedTo, 29264 66975, playsFor, 88550 66975, playsFor, 29264 6255, isCitizenOf, 29157 6255, playsFor, 40044 6255, playsFor, 88550 92582, isAffiliatedTo, 40044 92582, isAffiliatedTo, 88550 92582, playsFor, 40044 92582, playsFor, 88550 28593, isLocatedIn, 29157 85104, playsFor, 40044 85104, playsFor, 88550 85104, playsFor, 29264 Question: How are The_Poseidon_Adventure_(1972_film) and Trevor_Slack related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "The_Poseidon_Adventure_(1972_film)", "Trevor_Slack" ], "valid_edges": [ [ "Alex_Revell", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Alex_Revell", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Alex_Revell", "playsFor", "Kettering_Town_F.C." ], [ "Alex_Revell", "playsFor", "Rotherham_United_F.C." ], [ "Amara_Simba", "isAffiliatedTo", "Barnet_F.C." ], [ "Amara_Simba", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Amara_Simba", "playsFor", "Barnet_F.C." ], [ "Amara_Simba", "playsFor", "Kettering_Town_F.C." ], [ "Andy_Brownrigg", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Andy_Brownrigg", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Andy_Brownrigg", "playsFor", "Kettering_Town_F.C." ], [ "Andy_Brownrigg", "playsFor", "Rotherham_United_F.C." ], [ "Andy_Turner_(footballer)", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Andy_Turner_(footballer)", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Andy_Turner_(footballer)", "playsFor", "Kettering_Town_F.C." ], [ "Andy_Turner_(footballer)", "playsFor", "Rotherham_United_F.C." ], [ "Bob_Mayer", "isCitizenOf", "United_States" ], [ "Bob_Mayer", "playsFor", "Kettering_Town_F.C." ], [ "Chris_Swailes", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Chris_Swailes", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Chris_Swailes", "playsFor", "Kettering_Town_F.C." ], [ "Chris_Swailes", "playsFor", "Rotherham_United_F.C." ], [ "Claude_Stephane_Seanla", "isAffiliatedTo", "Barnet_F.C." ], [ "Claude_Stephane_Seanla", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Claude_Stephane_Seanla", "playsFor", "Barnet_F.C." ], [ "Claude_Stephane_Seanla", "playsFor", "Kettering_Town_F.C." ], [ "Craig_Dobson", "isAffiliatedTo", "Barnet_F.C." ], [ "Craig_Dobson", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Craig_Dobson", "playsFor", "Barnet_F.C." ], [ "Craig_Dobson", "playsFor", "Kettering_Town_F.C." ], [ "Craig_McAllister", "isAffiliatedTo", "Barnet_F.C." ], [ "Craig_McAllister", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Craig_McAllister", "playsFor", "Barnet_F.C." ], [ "Craig_McAllister", "playsFor", "Rotherham_United_F.C." ], [ "David_Watson_(footballer_born_1946)", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "David_Watson_(footballer_born_1946)", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "David_Watson_(footballer_born_1946)", "playsFor", "Kettering_Town_F.C." ], [ "David_Watson_(footballer_born_1946)", "playsFor", "Rotherham_United_F.C." ], [ "Doris_Angleton", "isCitizenOf", "United_States" ], [ "Doris_Angleton", "playsFor", "Barnet_F.C." ], [ "Dwane_Lee", "isAffiliatedTo", "Barnet_F.C." ], [ "Dwane_Lee", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Dwane_Lee", "playsFor", "Barnet_F.C." ], [ "Dwane_Lee", "playsFor", "Kettering_Town_F.C." ], [ "Elliott_Charles", "isAffiliatedTo", "Barnet_F.C." ], [ "Elliott_Charles", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Elliott_Charles", "playsFor", "Barnet_F.C." ], [ "Elliott_Charles", "playsFor", "Kettering_Town_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Barnet_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Barnet_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Kettering_Town_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Rotherham_United_F.C." ], [ "Freddie_Warren_(footballer_born_1992)", "playsFor", "Barnet_F.C." ], [ "Freddie_Warren_(footballer_born_1992)", "playsFor", "Kettering_Town_F.C." ], [ "Guy_Branston", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Guy_Branston", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Guy_Branston", "playsFor", "Kettering_Town_F.C." ], [ "Guy_Branston", "playsFor", "Rotherham_United_F.C." ], [ "Jamie_Waite", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Jamie_Waite", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Jamie_Waite", "playsFor", "Kettering_Town_F.C." ], [ "Jamie_Waite", "playsFor", "Rotherham_United_F.C." ], [ "John_Canning,_Jr.", "isCitizenOf", "United_States" ], [ "John_Canning,_Jr.", "playsFor", "Rotherham_United_F.C." ], [ "Junior_McDougald", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Junior_McDougald", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Junior_McDougald", "playsFor", "Kettering_Town_F.C." ], [ "Junior_McDougald", "playsFor", "Rotherham_United_F.C." ], [ "Keith_Alexander_(footballer)", "isAffiliatedTo", "Barnet_F.C." ], [ "Keith_Alexander_(footballer)", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Keith_Alexander_(footballer)", "playsFor", "Barnet_F.C." ], [ "Keith_Alexander_(footballer)", "playsFor", "Kettering_Town_F.C." ], [ "Kevin_Watson", "isAffiliatedTo", "Barnet_F.C." ], [ "Kevin_Watson", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Kevin_Watson", "playsFor", "Barnet_F.C." ], [ "Kevin_Watson", "playsFor", "Rotherham_United_F.C." ], [ "Kieron_St_Aimie", "isAffiliatedTo", "Barnet_F.C." ], [ "Kieron_St_Aimie", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Kieron_St_Aimie", "playsFor", "Barnet_F.C." ], [ "Kieron_St_Aimie", "playsFor", "Kettering_Town_F.C." ], [ "Mark_Schiavi", "playsFor", "Barnet_F.C." ], [ "Mark_Schiavi", "playsFor", "Kettering_Town_F.C." ], [ "Paolo_Vernazza", "isAffiliatedTo", "Barnet_F.C." ], [ "Paolo_Vernazza", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Paolo_Vernazza", "playsFor", "Barnet_F.C." ], [ "Paolo_Vernazza", "playsFor", "Rotherham_United_F.C." ], [ "Paul_Furlong", "isAffiliatedTo", "Barnet_F.C." ], [ "Paul_Furlong", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Paul_Furlong", "playsFor", "Barnet_F.C." ], [ "Paul_Furlong", "playsFor", "Kettering_Town_F.C." ], [ "Paul_Pettinger", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Paul_Pettinger", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Paul_Pettinger", "playsFor", "Kettering_Town_F.C." ], [ "Paul_Pettinger", "playsFor", "Rotherham_United_F.C." ], [ "Paul_Warne", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Paul_Warne", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Paul_Warne", "playsFor", "Kettering_Town_F.C." ], [ "Paul_Warne", "playsFor", "Rotherham_United_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "isAffiliatedTo", "Barnet_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "playsFor", "Barnet_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "playsFor", "Kettering_Town_F.C." ], [ "Richie_Partridge", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Richie_Partridge", "playsFor", "Kettering_Town_F.C." ], [ "Richie_Partridge", "playsFor", "Rotherham_United_F.C." ], [ "Robert_Mutchell", "isAffiliatedTo", "Barnet_F.C." ], [ "Robert_Mutchell", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Robert_Mutchell", "playsFor", "Barnet_F.C." ], [ "Robert_Mutchell", "playsFor", "Kettering_Town_F.C." ], [ "Roger_Willis", "isAffiliatedTo", "Barnet_F.C." ], [ "Roger_Willis", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Roger_Willis", "playsFor", "Barnet_F.C." ], [ "Roger_Willis", "playsFor", "Kettering_Town_F.C." ], [ "Rossi_Jarvis", "isAffiliatedTo", "Barnet_F.C." ], [ "Rossi_Jarvis", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Rossi_Jarvis", "playsFor", "Barnet_F.C." ], [ "Rossi_Jarvis", "playsFor", "Rotherham_United_F.C." ], [ "Roy_Essandoh", "isAffiliatedTo", "Barnet_F.C." ], [ "Roy_Essandoh", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Roy_Essandoh", "playsFor", "Barnet_F.C." ], [ "Roy_Essandoh", "playsFor", "Kettering_Town_F.C." ], [ "Scott_Smith_(footballer_born_1975)", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Scott_Smith_(footballer_born_1975)", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Scott_Smith_(footballer_born_1975)", "playsFor", "Kettering_Town_F.C." ], [ "Scott_Smith_(footballer_born_1975)", "playsFor", "Rotherham_United_F.C." ], [ "Stanley_O'Neal", "isCitizenOf", "United_States" ], [ "Stanley_O'Neal", "playsFor", "Barnet_F.C." ], [ "Stanley_O'Neal", "playsFor", "Kettering_Town_F.C." ], [ "Tarkan_Mustafa", "isAffiliatedTo", "Barnet_F.C." ], [ "Tarkan_Mustafa", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Tarkan_Mustafa", "playsFor", "Barnet_F.C." ], [ "Tarkan_Mustafa", "playsFor", "Kettering_Town_F.C." ], [ "The_Poseidon_Adventure_(1972_film)", "isLocatedIn", "United_States" ], [ "Trevor_Slack", "playsFor", "Barnet_F.C." ], [ "Trevor_Slack", "playsFor", "Kettering_Town_F.C." ], [ "Trevor_Slack", "playsFor", "Rotherham_United_F.C." ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 68315, Patrick_Lebeau 30028, Rui_Jordão 118104, male src, edge_attr, dst 68315, hasGender, 118104 30028, hasGender, 118104 Question: In what context are Patrick_Lebeau and Rui_Jordão connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Patrick_Lebeau", "Rui_Jordão" ], "valid_edges": [ [ "Patrick_Lebeau", "hasGender", "male" ], [ "Rui_Jordão", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 24279, Altamonte_Springs,_Florida 93447, Apopka,_Florida 5893, Casselberry,_Florida 4267, Colombia 63923, Florida 107187, Heathrow,_Florida 96023, Lake_Mary,_Florida 11755, Longwood,_Florida 30196, Oviedo,_Florida 46387, Rafael_Núñez_(politician) 16437, Sanford,_Florida 79879, Seminole_County,_Florida 59801, Seminole_County_(Florida) 29157, United_States src, edge_attr, dst 24279, isLocatedIn, 63923 24279, isLocatedIn, 79879 24279, isLocatedIn, 59801 24279, isLocatedIn, 29157 93447, isLocatedIn, 63923 93447, isLocatedIn, 79879 93447, isLocatedIn, 29157 5893, isLocatedIn, 63923 5893, isLocatedIn, 79879 5893, isLocatedIn, 59801 5893, isLocatedIn, 29157 4267, dealsWith, 29157 107187, isLocatedIn, 63923 107187, isLocatedIn, 79879 107187, isLocatedIn, 59801 107187, isLocatedIn, 29157 96023, isLocatedIn, 63923 96023, isLocatedIn, 79879 96023, isLocatedIn, 59801 96023, isLocatedIn, 29157 11755, isLocatedIn, 63923 11755, isLocatedIn, 79879 11755, isLocatedIn, 59801 11755, isLocatedIn, 29157 30196, isLocatedIn, 63923 30196, isLocatedIn, 79879 30196, isLocatedIn, 59801 30196, isLocatedIn, 29157 46387, isPoliticianOf, 4267 16437, isLocatedIn, 63923 16437, isLocatedIn, 79879 16437, isLocatedIn, 29157 Question: How are Rafael_Núñez_(politician) and Seminole_County,_Florida related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Rafael_Núñez_(politician)", "Seminole_County,_Florida" ], "valid_edges": [ [ "Altamonte_Springs,_Florida", "isLocatedIn", "Florida" ], [ "Altamonte_Springs,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Altamonte_Springs,_Florida", "isLocatedIn", "Seminole_County_(Florida)" ], [ "Altamonte_Springs,_Florida", "isLocatedIn", "United_States" ], [ "Apopka,_Florida", "isLocatedIn", "Florida" ], [ "Apopka,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Apopka,_Florida", "isLocatedIn", "United_States" ], [ "Casselberry,_Florida", "isLocatedIn", "Florida" ], [ "Casselberry,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Casselberry,_Florida", "isLocatedIn", "Seminole_County_(Florida)" ], [ "Casselberry,_Florida", "isLocatedIn", "United_States" ], [ "Colombia", "dealsWith", "United_States" ], [ "Heathrow,_Florida", "isLocatedIn", "Florida" ], [ "Heathrow,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Heathrow,_Florida", "isLocatedIn", "Seminole_County_(Florida)" ], [ "Heathrow,_Florida", "isLocatedIn", "United_States" ], [ "Lake_Mary,_Florida", "isLocatedIn", "Florida" ], [ "Lake_Mary,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Lake_Mary,_Florida", "isLocatedIn", "Seminole_County_(Florida)" ], [ "Lake_Mary,_Florida", "isLocatedIn", "United_States" ], [ "Longwood,_Florida", "isLocatedIn", "Florida" ], [ "Longwood,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Longwood,_Florida", "isLocatedIn", "Seminole_County_(Florida)" ], [ "Longwood,_Florida", "isLocatedIn", "United_States" ], [ "Oviedo,_Florida", "isLocatedIn", "Florida" ], [ "Oviedo,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Oviedo,_Florida", "isLocatedIn", "Seminole_County_(Florida)" ], [ "Oviedo,_Florida", "isLocatedIn", "United_States" ], [ "Rafael_Núñez_(politician)", "isPoliticianOf", "Colombia" ], [ "Sanford,_Florida", "isLocatedIn", "Florida" ], [ "Sanford,_Florida", "isLocatedIn", "Seminole_County,_Florida" ], [ "Sanford,_Florida", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 88377, Antoni_Piechniczek 13977, Bernard_Blaut 1366, Gmina_Lutocin 2892, Górnik_Zabrze 77417, Henryk_Apostel 5315, Legia_Warsaw 3079, Masovian_Voivodeship 112681, Odra_Opole 122901, Piotr_Rocki 75579, Warsaw 121055, pl/Dariusz_Solnica 79625, pl/Edward_Drabiński 33894, Żuromin 1546, Żuromin_County src, edge_attr, dst 88377, isAffiliatedTo, 2892 88377, isAffiliatedTo, 5315 88377, isAffiliatedTo, 112681 88377, playsFor, 5315 13977, isAffiliatedTo, 5315 13977, isAffiliatedTo, 112681 13977, playsFor, 5315 13977, playsFor, 112681 1366, isLocatedIn, 3079 1366, isLocatedIn, 1546 77417, isAffiliatedTo, 2892 77417, isAffiliatedTo, 5315 77417, playsFor, 5315 5315, isLocatedIn, 75579 122901, isAffiliatedTo, 2892 122901, isAffiliatedTo, 5315 122901, playsFor, 2892 122901, playsFor, 5315 75579, isLocatedIn, 3079 121055, isAffiliatedTo, 5315 121055, isAffiliatedTo, 112681 79625, isAffiliatedTo, 5315 79625, isAffiliatedTo, 112681 33894, isLocatedIn, 3079 33894, isLocatedIn, 1546 1546, isLocatedIn, 3079 Question: For what reason are Antoni_Piechniczek and Gmina_Lutocin associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Antoni_Piechniczek", "Gmina_Lutocin" ], "valid_edges": [ [ "Antoni_Piechniczek", "isAffiliatedTo", "Górnik_Zabrze" ], [ "Antoni_Piechniczek", "isAffiliatedTo", "Legia_Warsaw" ], [ "Antoni_Piechniczek", "isAffiliatedTo", "Odra_Opole" ], [ "Antoni_Piechniczek", "playsFor", "Legia_Warsaw" ], [ "Bernard_Blaut", "isAffiliatedTo", "Legia_Warsaw" ], [ "Bernard_Blaut", "isAffiliatedTo", "Odra_Opole" ], [ "Bernard_Blaut", "playsFor", "Legia_Warsaw" ], [ "Bernard_Blaut", "playsFor", "Odra_Opole" ], [ "Gmina_Lutocin", "isLocatedIn", "Masovian_Voivodeship" ], [ "Gmina_Lutocin", "isLocatedIn", "Żuromin_County" ], [ "Henryk_Apostel", "isAffiliatedTo", "Górnik_Zabrze" ], [ "Henryk_Apostel", "isAffiliatedTo", "Legia_Warsaw" ], [ "Henryk_Apostel", "playsFor", "Legia_Warsaw" ], [ "Legia_Warsaw", "isLocatedIn", "Warsaw" ], [ "Piotr_Rocki", "isAffiliatedTo", "Górnik_Zabrze" ], [ "Piotr_Rocki", "isAffiliatedTo", "Legia_Warsaw" ], [ "Piotr_Rocki", "playsFor", "Górnik_Zabrze" ], [ "Piotr_Rocki", "playsFor", "Legia_Warsaw" ], [ "Warsaw", "isLocatedIn", "Masovian_Voivodeship" ], [ "pl/Dariusz_Solnica", "isAffiliatedTo", "Legia_Warsaw" ], [ "pl/Dariusz_Solnica", "isAffiliatedTo", "Odra_Opole" ], [ "pl/Edward_Drabiński", "isAffiliatedTo", "Legia_Warsaw" ], [ "pl/Edward_Drabiński", "isAffiliatedTo", "Odra_Opole" ], [ "Żuromin", "isLocatedIn", "Masovian_Voivodeship" ], [ "Żuromin", "isLocatedIn", "Żuromin_County" ], [ "Żuromin_County", "isLocatedIn", "Masovian_Voivodeship" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 81073, Fahem_Ouslati 120636, José_Manuel_Abundis 118104, male src, edge_attr, dst 81073, hasGender, 118104 120636, hasGender, 118104 Question: In what context are Fahem_Ouslati and José_Manuel_Abundis connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Fahem_Ouslati", "José_Manuel_Abundis" ], "valid_edges": [ [ "Fahem_Ouslati", "hasGender", "male" ], [ "José_Manuel_Abundis", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 40467, Aaron_Brown_(footballer_born_1983) 84157, Abraham_Lincoln 16018, Alan_Fettis 4735, Alex_Notman 31628, Alex_Rodman 81993, Alfred_G._Knudson 92720, Andy_Goram 22933, Arnold_Schwarzenegger 47688, Barry_Hartle 115823, Barry_Hayles 69026, Ben_Muirhead 32881, Ben_Starosta 15876, Ben_Wilkinson 106971, Billy_Boyd_(footballer) 41549, Brian_Kidd 63008, Bryan_Robson 8845, Buxton_F.C. 70378, Charlie_Craven 118458, Chris_Short_(footballer) 10791, Colin_Marrison 11184, Craig_McAughtrie 83925, Danny_Alcock 33943, Danny_Higginbotham 40468, Danny_Reet 85978, Danny_Webber 81404, David_Byrne_(footballer,_born_1905) 103008, David_Johnson_(footballer_born_1976) 63746, Dean_Oliver_(footballer) 58378, Denise_DeBartolo_York 14162, Dominic_Roma 1409, Don_Givens 68704, England_national_football_C_team 88057, Englewood,_New_Jersey 1566, Febian_Brandy 64654, Gareth_Sheldon 29771, Greg_Taylor_(footballer) 41098, Jack_Peden 54701, Jemal_Johnson 118896, Jesse_Ventura 70852, Jim_Leighton 21337, John_Brayford 37905, John_Connaughton 38423, John_Pemberton_(footballer) 120087, Justin_Richards_(footballer) 66111, Keith_Gillespie 31308, Kirk_Jackson 57592, Kyle_McFadzean 72223, Kyle_Nix 45554, Lee_Hendrie 23566, Lee_Martin_(footballer,_born_1987) 17086, Lee_Martin_(footballer_born_1987) 77564, Lee_Morris_(footballer) 17309, Lloyd_Kerry 13146, Manchester_United_F.C. 41865, Marcus_Kelly 74663, Mark_Dempsey_(English_footballer) 26019, Mark_Rankine 36054, Matthew_Barnes-Homer 112275, Matthew_Williams_(footballer) 91970, Michael_Rose_(footballer) 1924, Michael_Tonge 88426, Michael_Twiss 108548, Michael_Wylde 57147, Neil_Ross_(footballer) 71550, Nick_Wright_(footballer_born_1987) 101274, Paddy_Sloan 12453, Paul_Devlin_(footballer) 16268, Paul_Furlong 68208, Paul_Hall_(footballer) 67371, Paul_McGrath_(footballer) 113379, Paul_Parker_(footballer) 38170, Percy_Mills,_1st_Viscount_Mills 10687, Phil_Bardsley 9249, Richie_Baker_(English_footballer) 116130, Ritchie_De_Laet 120331, Roy_John 83380, Ryan_Hall_(footballer) 94995, Sam_Wedgbury 40202, Sean_McGinty 6333, Shaun_Harrad 103885, Sheffield_United_F.C. 6255, Stanley_O'Neal 73788, Steve_Bruce 50225, Steve_Ludlam 1065, Steve_Paterson 4067, Stewart_Houston 111776, Tamworth_F.C. 16702, Thomas_Raikes_(dandy) 96071, Tim_Ryan_(footballer) 69122, Tom_Shaw_(footballer) 198, Tommy_Boyle_(footballer_born_1901) 2295, Tommy_Johnson_(footballer_born_1971) 99939, Tony_Daws 29157, United_States 104549, Walter_Whittaker src, edge_attr, dst 40467, isAffiliatedTo, 68704 40467, isAffiliatedTo, 111776 40467, playsFor, 111776 84157, isPoliticianOf, 29157 84157, playsFor, 103885 16018, isAffiliatedTo, 13146 16018, isAffiliatedTo, 103885 16018, playsFor, 103885 4735, isAffiliatedTo, 13146 4735, isAffiliatedTo, 103885 4735, playsFor, 13146 4735, playsFor, 103885 31628, playsFor, 68704 31628, playsFor, 111776 81993, isCitizenOf, 29157 81993, playsFor, 13146 81993, playsFor, 103885 92720, isAffiliatedTo, 13146 92720, isAffiliatedTo, 103885 92720, playsFor, 13146 92720, playsFor, 103885 22933, isPoliticianOf, 29157 22933, playsFor, 13146 47688, playsFor, 8845 47688, playsFor, 103885 115823, isAffiliatedTo, 68704 115823, isAffiliatedTo, 103885 115823, playsFor, 103885 69026, isAffiliatedTo, 8845 69026, isAffiliatedTo, 13146 69026, playsFor, 8845 69026, playsFor, 13146 32881, isAffiliatedTo, 103885 32881, isAffiliatedTo, 111776 32881, playsFor, 103885 32881, playsFor, 111776 15876, isAffiliatedTo, 103885 15876, isAffiliatedTo, 111776 15876, playsFor, 111776 106971, isAffiliatedTo, 13146 106971, isAffiliatedTo, 103885 106971, playsFor, 13146 106971, playsFor, 103885 41549, isAffiliatedTo, 13146 41549, isAffiliatedTo, 103885 41549, playsFor, 13146 63008, isAffiliatedTo, 13146 63008, isAffiliatedTo, 103885 63008, playsFor, 13146 70378, isAffiliatedTo, 13146 70378, isAffiliatedTo, 111776 70378, playsFor, 13146 70378, playsFor, 111776 118458, isAffiliatedTo, 13146 118458, isAffiliatedTo, 103885 118458, playsFor, 13146 118458, playsFor, 103885 10791, isAffiliatedTo, 103885 10791, isAffiliatedTo, 111776 10791, playsFor, 103885 10791, playsFor, 111776 11184, isAffiliatedTo, 103885 11184, isAffiliatedTo, 111776 11184, playsFor, 111776 83925, isAffiliatedTo, 68704 83925, isAffiliatedTo, 111776 83925, playsFor, 68704 83925, playsFor, 111776 33943, isAffiliatedTo, 13146 33943, isAffiliatedTo, 103885 33943, playsFor, 13146 33943, playsFor, 103885 40468, isAffiliatedTo, 8845 40468, isAffiliatedTo, 103885 40468, playsFor, 8845 40468, playsFor, 103885 85978, isAffiliatedTo, 13146 85978, isAffiliatedTo, 103885 85978, playsFor, 13146 85978, playsFor, 103885 81404, isAffiliatedTo, 13146 81404, isAffiliatedTo, 103885 81404, playsFor, 13146 81404, playsFor, 103885 103008, isAffiliatedTo, 13146 103008, isAffiliatedTo, 103885 103008, playsFor, 13146 103008, playsFor, 103885 63746, isAffiliatedTo, 8845 63746, isAffiliatedTo, 103885 63746, playsFor, 8845 63746, playsFor, 103885 58378, isCitizenOf, 29157 58378, playsFor, 8845 58378, playsFor, 103885 14162, isAffiliatedTo, 103885 14162, isAffiliatedTo, 111776 14162, playsFor, 103885 14162, playsFor, 111776 1409, isAffiliatedTo, 13146 1409, isAffiliatedTo, 103885 1409, playsFor, 13146 1409, playsFor, 103885 88057, isLocatedIn, 29157 1566, isAffiliatedTo, 13146 1566, isAffiliatedTo, 103885 1566, playsFor, 13146 1566, playsFor, 103885 64654, isAffiliatedTo, 68704 64654, isAffiliatedTo, 111776 64654, playsFor, 68704 64654, playsFor, 111776 29771, isAffiliatedTo, 68704 29771, isAffiliatedTo, 111776 29771, playsFor, 111776 41098, isAffiliatedTo, 13146 41098, isAffiliatedTo, 103885 41098, playsFor, 13146 41098, playsFor, 103885 54701, isAffiliatedTo, 13146 54701, isAffiliatedTo, 111776 54701, playsFor, 111776 118896, isPoliticianOf, 29157 118896, playsFor, 68704 70852, isAffiliatedTo, 13146 70852, isAffiliatedTo, 103885 70852, playsFor, 13146 70852, playsFor, 103885 21337, isAffiliatedTo, 68704 21337, isAffiliatedTo, 103885 21337, playsFor, 68704 21337, playsFor, 103885 37905, isAffiliatedTo, 13146 37905, isAffiliatedTo, 103885 37905, playsFor, 13146 37905, playsFor, 103885 38423, isAffiliatedTo, 13146 38423, isAffiliatedTo, 103885 38423, playsFor, 13146 38423, playsFor, 103885 120087, isAffiliatedTo, 68704 120087, isAffiliatedTo, 111776 120087, playsFor, 68704 120087, playsFor, 111776 66111, isAffiliatedTo, 13146 66111, isAffiliatedTo, 103885 66111, playsFor, 13146 66111, playsFor, 103885 31308, isAffiliatedTo, 68704 31308, isAffiliatedTo, 111776 31308, playsFor, 68704 31308, playsFor, 111776 57592, isAffiliatedTo, 68704 57592, isAffiliatedTo, 103885 57592, playsFor, 103885 72223, isAffiliatedTo, 8845 72223, isAffiliatedTo, 68704 72223, isAffiliatedTo, 13146 72223, isAffiliatedTo, 103885 72223, isAffiliatedTo, 111776 72223, playsFor, 8845 72223, playsFor, 103885 72223, playsFor, 111776 45554, isAffiliatedTo, 103885 45554, isAffiliatedTo, 111776 45554, playsFor, 103885 45554, playsFor, 111776 23566, isAffiliatedTo, 13146 23566, isAffiliatedTo, 103885 23566, playsFor, 13146 23566, playsFor, 103885 17086, isAffiliatedTo, 13146 17086, isAffiliatedTo, 103885 77564, isAffiliatedTo, 8845 77564, isAffiliatedTo, 103885 77564, playsFor, 8845 77564, playsFor, 103885 17309, isAffiliatedTo, 103885 17309, isAffiliatedTo, 111776 17309, playsFor, 103885 17309, playsFor, 111776 41865, isAffiliatedTo, 68704 41865, isAffiliatedTo, 111776 41865, playsFor, 111776 74663, isAffiliatedTo, 13146 74663, isAffiliatedTo, 103885 74663, playsFor, 13146 74663, playsFor, 103885 26019, isAffiliatedTo, 13146 26019, isAffiliatedTo, 103885 26019, playsFor, 103885 36054, isAffiliatedTo, 68704 36054, isAffiliatedTo, 111776 36054, playsFor, 111776 112275, isAffiliatedTo, 13146 112275, isAffiliatedTo, 111776 112275, playsFor, 13146 112275, playsFor, 111776 91970, isAffiliatedTo, 68704 91970, isAffiliatedTo, 13146 91970, playsFor, 13146 1924, isAffiliatedTo, 13146 1924, isAffiliatedTo, 103885 1924, playsFor, 103885 88426, isAffiliatedTo, 13146 88426, isAffiliatedTo, 103885 88426, playsFor, 13146 88426, playsFor, 103885 108548, isAffiliatedTo, 68704 108548, isAffiliatedTo, 111776 108548, playsFor, 111776 57147, isAffiliatedTo, 8845 57147, isAffiliatedTo, 111776 57147, playsFor, 8845 57147, playsFor, 111776 71550, isAffiliatedTo, 68704 71550, isAffiliatedTo, 111776 71550, playsFor, 68704 71550, playsFor, 111776 101274, isAffiliatedTo, 13146 101274, isAffiliatedTo, 103885 101274, playsFor, 13146 101274, playsFor, 103885 12453, isAffiliatedTo, 103885 12453, isAffiliatedTo, 111776 12453, playsFor, 103885 12453, playsFor, 111776 16268, isAffiliatedTo, 68704 16268, isAffiliatedTo, 103885 16268, playsFor, 68704 16268, playsFor, 103885 68208, isAffiliatedTo, 103885 68208, isAffiliatedTo, 111776 68208, playsFor, 103885 67371, isAffiliatedTo, 13146 67371, isAffiliatedTo, 103885 67371, playsFor, 13146 67371, playsFor, 103885 113379, isAffiliatedTo, 13146 113379, isAffiliatedTo, 103885 113379, playsFor, 13146 113379, playsFor, 103885 38170, playsFor, 68704 38170, playsFor, 13146 10687, isAffiliatedTo, 13146 10687, isAffiliatedTo, 103885 10687, playsFor, 13146 10687, playsFor, 103885 9249, isAffiliatedTo, 13146 9249, isAffiliatedTo, 111776 9249, playsFor, 111776 116130, isAffiliatedTo, 13146 116130, isAffiliatedTo, 103885 116130, playsFor, 13146 116130, playsFor, 103885 120331, isAffiliatedTo, 13146 120331, isAffiliatedTo, 103885 120331, playsFor, 13146 120331, playsFor, 103885 83380, isAffiliatedTo, 68704 83380, isAffiliatedTo, 103885 83380, playsFor, 68704 83380, playsFor, 103885 94995, isAffiliatedTo, 68704 94995, isAffiliatedTo, 103885 94995, playsFor, 68704 94995, playsFor, 103885 40202, playsFor, 13146 40202, playsFor, 103885 6333, isAffiliatedTo, 68704 6333, isAffiliatedTo, 111776 6333, playsFor, 111776 6255, isCitizenOf, 29157 6255, playsFor, 111776 73788, isAffiliatedTo, 13146 73788, isAffiliatedTo, 103885 73788, playsFor, 13146 73788, playsFor, 103885 50225, isAffiliatedTo, 8845 50225, isAffiliatedTo, 103885 50225, playsFor, 8845 50225, playsFor, 103885 1065, isAffiliatedTo, 13146 1065, isAffiliatedTo, 103885 1065, playsFor, 13146 1065, playsFor, 103885 4067, isAffiliatedTo, 13146 4067, isAffiliatedTo, 103885 4067, playsFor, 13146 4067, playsFor, 103885 16702, playsFor, 68704 16702, playsFor, 111776 96071, isAffiliatedTo, 8845 96071, isAffiliatedTo, 68704 96071, playsFor, 8845 69122, isAffiliatedTo, 68704 69122, isAffiliatedTo, 111776 69122, playsFor, 111776 198, isAffiliatedTo, 13146 198, isAffiliatedTo, 103885 198, playsFor, 13146 198, playsFor, 103885 2295, isAffiliatedTo, 103885 2295, isAffiliatedTo, 111776 2295, playsFor, 103885 2295, playsFor, 111776 99939, isAffiliatedTo, 13146 99939, isAffiliatedTo, 103885 99939, playsFor, 13146 99939, playsFor, 103885 104549, isAffiliatedTo, 8845 104549, isAffiliatedTo, 13146 104549, playsFor, 8845 104549, playsFor, 13146 Question: How are Englewood,_New_Jersey and Kyle_Nix related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Englewood,_New_Jersey", "Kyle_Nix" ], "valid_edges": [ [ "Aaron_Brown_(footballer_born_1983)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Aaron_Brown_(footballer_born_1983)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Aaron_Brown_(footballer_born_1983)", "playsFor", "Tamworth_F.C." ], [ "Abraham_Lincoln", "isPoliticianOf", "United_States" ], [ "Abraham_Lincoln", "playsFor", "Sheffield_United_F.C." ], [ "Alan_Fettis", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Alan_Fettis", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Alan_Fettis", "playsFor", "Sheffield_United_F.C." ], [ "Alex_Notman", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Alex_Notman", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Alex_Notman", "playsFor", "Manchester_United_F.C." ], [ "Alex_Notman", "playsFor", "Sheffield_United_F.C." ], [ "Alex_Rodman", "playsFor", "England_national_football_C_team" ], [ "Alex_Rodman", "playsFor", "Tamworth_F.C." ], [ "Alfred_G._Knudson", "isCitizenOf", "United_States" ], [ "Alfred_G._Knudson", "playsFor", "Manchester_United_F.C." ], [ "Alfred_G._Knudson", "playsFor", "Sheffield_United_F.C." ], [ "Andy_Goram", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Andy_Goram", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Andy_Goram", "playsFor", "Manchester_United_F.C." ], [ "Andy_Goram", "playsFor", "Sheffield_United_F.C." ], [ "Arnold_Schwarzenegger", "isPoliticianOf", "United_States" ], [ "Arnold_Schwarzenegger", "playsFor", "Manchester_United_F.C." ], [ "Barry_Hartle", "playsFor", "Buxton_F.C." ], [ "Barry_Hartle", "playsFor", "Sheffield_United_F.C." ], [ "Barry_Hayles", "isAffiliatedTo", "England_national_football_C_team" ], [ "Barry_Hayles", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Barry_Hayles", "playsFor", "Sheffield_United_F.C." ], [ "Ben_Muirhead", "isAffiliatedTo", "Buxton_F.C." ], [ "Ben_Muirhead", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Ben_Muirhead", "playsFor", "Buxton_F.C." ], [ "Ben_Muirhead", "playsFor", "Manchester_United_F.C." ], [ "Ben_Starosta", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Ben_Starosta", "isAffiliatedTo", "Tamworth_F.C." ], [ "Ben_Starosta", "playsFor", "Sheffield_United_F.C." ], [ "Ben_Starosta", "playsFor", "Tamworth_F.C." ], [ "Ben_Wilkinson", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Ben_Wilkinson", "isAffiliatedTo", "Tamworth_F.C." ], [ "Ben_Wilkinson", "playsFor", "Tamworth_F.C." ], [ "Billy_Boyd_(footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Billy_Boyd_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Billy_Boyd_(footballer)", "playsFor", "Manchester_United_F.C." ], [ "Billy_Boyd_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Brian_Kidd", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Brian_Kidd", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Brian_Kidd", "playsFor", "Manchester_United_F.C." ], [ "Bryan_Robson", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Bryan_Robson", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Bryan_Robson", "playsFor", "Manchester_United_F.C." ], [ "Charlie_Craven", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Charlie_Craven", "isAffiliatedTo", "Tamworth_F.C." ], [ "Charlie_Craven", "playsFor", "Manchester_United_F.C." ], [ "Charlie_Craven", "playsFor", "Tamworth_F.C." ], [ "Chris_Short_(footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Chris_Short_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Chris_Short_(footballer)", "playsFor", "Manchester_United_F.C." ], [ "Chris_Short_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Colin_Marrison", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Colin_Marrison", "isAffiliatedTo", "Tamworth_F.C." ], [ "Colin_Marrison", "playsFor", "Sheffield_United_F.C." ], [ "Colin_Marrison", "playsFor", "Tamworth_F.C." ], [ "Craig_McAughtrie", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Craig_McAughtrie", "isAffiliatedTo", "Tamworth_F.C." ], [ "Craig_McAughtrie", "playsFor", "Tamworth_F.C." ], [ "Danny_Alcock", "isAffiliatedTo", "England_national_football_C_team" ], [ "Danny_Alcock", "isAffiliatedTo", "Tamworth_F.C." ], [ "Danny_Alcock", "playsFor", "England_national_football_C_team" ], [ "Danny_Alcock", "playsFor", "Tamworth_F.C." ], [ "Danny_Higginbotham", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Danny_Higginbotham", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Danny_Higginbotham", "playsFor", "Manchester_United_F.C." ], [ "Danny_Higginbotham", "playsFor", "Sheffield_United_F.C." ], [ "Danny_Reet", "isAffiliatedTo", "Buxton_F.C." ], [ "Danny_Reet", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Danny_Reet", "playsFor", "Buxton_F.C." ], [ "Danny_Reet", "playsFor", "Sheffield_United_F.C." ], [ "Danny_Webber", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Danny_Webber", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Danny_Webber", "playsFor", "Manchester_United_F.C." ], [ "Danny_Webber", "playsFor", "Sheffield_United_F.C." ], [ "David_Byrne_(footballer,_born_1905)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "David_Byrne_(footballer,_born_1905)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "David_Byrne_(footballer,_born_1905)", "playsFor", "Manchester_United_F.C." ], [ "David_Byrne_(footballer,_born_1905)", "playsFor", "Sheffield_United_F.C." ], [ "David_Johnson_(footballer_born_1976)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "David_Johnson_(footballer_born_1976)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "David_Johnson_(footballer_born_1976)", "playsFor", "Manchester_United_F.C." ], [ "David_Johnson_(footballer_born_1976)", "playsFor", "Sheffield_United_F.C." ], [ "Dean_Oliver_(footballer)", "isAffiliatedTo", "Buxton_F.C." ], [ "Dean_Oliver_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Dean_Oliver_(footballer)", "playsFor", "Buxton_F.C." ], [ "Dean_Oliver_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Denise_DeBartolo_York", "isCitizenOf", "United_States" ], [ "Denise_DeBartolo_York", "playsFor", "Buxton_F.C." ], [ "Denise_DeBartolo_York", "playsFor", "Sheffield_United_F.C." ], [ "Dominic_Roma", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Dominic_Roma", "isAffiliatedTo", "Tamworth_F.C." ], [ "Dominic_Roma", "playsFor", "Sheffield_United_F.C." ], [ "Dominic_Roma", "playsFor", "Tamworth_F.C." ], [ "Don_Givens", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Don_Givens", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Don_Givens", "playsFor", "Manchester_United_F.C." ], [ "Don_Givens", "playsFor", "Sheffield_United_F.C." ], [ "Englewood,_New_Jersey", "isLocatedIn", "United_States" ], [ "Febian_Brandy", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Febian_Brandy", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Febian_Brandy", "playsFor", "Manchester_United_F.C." ], [ "Febian_Brandy", "playsFor", "Sheffield_United_F.C." ], [ "Gareth_Sheldon", "isAffiliatedTo", "England_national_football_C_team" ], [ "Gareth_Sheldon", "isAffiliatedTo", "Tamworth_F.C." ], [ "Gareth_Sheldon", "playsFor", "England_national_football_C_team" ], [ "Gareth_Sheldon", "playsFor", "Tamworth_F.C." ], [ "Greg_Taylor_(footballer)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Greg_Taylor_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Greg_Taylor_(footballer)", "playsFor", "Tamworth_F.C." ], [ "Jack_Peden", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Jack_Peden", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Jack_Peden", "playsFor", "Manchester_United_F.C." ], [ "Jack_Peden", "playsFor", "Sheffield_United_F.C." ], [ "Jemal_Johnson", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Jemal_Johnson", "isAffiliatedTo", "Tamworth_F.C." ], [ "Jemal_Johnson", "playsFor", "Tamworth_F.C." ], [ "Jesse_Ventura", "isPoliticianOf", "United_States" ], [ "Jesse_Ventura", "playsFor", "England_national_football_C_team" ], [ "Jim_Leighton", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Jim_Leighton", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Jim_Leighton", "playsFor", "Manchester_United_F.C." ], [ "Jim_Leighton", "playsFor", "Sheffield_United_F.C." ], [ "John_Brayford", "isAffiliatedTo", "England_national_football_C_team" ], [ "John_Brayford", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "John_Brayford", "playsFor", "England_national_football_C_team" ], [ "John_Brayford", "playsFor", "Sheffield_United_F.C." ], [ "John_Connaughton", "isAffiliatedTo", "Manchester_United_F.C." ], [ "John_Connaughton", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "John_Connaughton", "playsFor", "Manchester_United_F.C." ], [ "John_Connaughton", "playsFor", "Sheffield_United_F.C." ], [ "John_Pemberton_(footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "John_Pemberton_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "John_Pemberton_(footballer)", "playsFor", "Manchester_United_F.C." ], [ "John_Pemberton_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Justin_Richards_(footballer)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Justin_Richards_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Justin_Richards_(footballer)", "playsFor", "England_national_football_C_team" ], [ "Justin_Richards_(footballer)", "playsFor", "Tamworth_F.C." ], [ "Keith_Gillespie", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Keith_Gillespie", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Keith_Gillespie", "playsFor", "Manchester_United_F.C." ], [ "Keith_Gillespie", "playsFor", "Sheffield_United_F.C." ], [ "Kirk_Jackson", "isAffiliatedTo", "England_national_football_C_team" ], [ "Kirk_Jackson", "isAffiliatedTo", "Tamworth_F.C." ], [ "Kirk_Jackson", "playsFor", "England_national_football_C_team" ], [ "Kirk_Jackson", "playsFor", "Tamworth_F.C." ], [ "Kyle_McFadzean", "isAffiliatedTo", "England_national_football_C_team" ], [ "Kyle_McFadzean", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Kyle_McFadzean", "playsFor", "Sheffield_United_F.C." ], [ "Kyle_Nix", "isAffiliatedTo", "Buxton_F.C." ], [ "Kyle_Nix", "isAffiliatedTo", "England_national_football_C_team" ], [ "Kyle_Nix", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Kyle_Nix", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Kyle_Nix", "isAffiliatedTo", "Tamworth_F.C." ], [ "Kyle_Nix", "playsFor", "Buxton_F.C." ], [ "Kyle_Nix", "playsFor", "Sheffield_United_F.C." ], [ "Kyle_Nix", "playsFor", "Tamworth_F.C." ], [ "Lee_Hendrie", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Lee_Hendrie", "isAffiliatedTo", "Tamworth_F.C." ], [ "Lee_Hendrie", "playsFor", "Sheffield_United_F.C." ], [ "Lee_Hendrie", "playsFor", "Tamworth_F.C." ], [ "Lee_Martin_(footballer,_born_1987)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Lee_Martin_(footballer,_born_1987)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Lee_Martin_(footballer,_born_1987)", "playsFor", "Manchester_United_F.C." ], [ "Lee_Martin_(footballer,_born_1987)", "playsFor", "Sheffield_United_F.C." ], [ "Lee_Martin_(footballer_born_1987)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Lee_Martin_(footballer_born_1987)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Lee_Morris_(footballer)", "isAffiliatedTo", "Buxton_F.C." ], [ "Lee_Morris_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Lee_Morris_(footballer)", "playsFor", "Buxton_F.C." ], [ "Lee_Morris_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Lloyd_Kerry", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Lloyd_Kerry", "isAffiliatedTo", "Tamworth_F.C." ], [ "Lloyd_Kerry", "playsFor", "Sheffield_United_F.C." ], [ "Lloyd_Kerry", "playsFor", "Tamworth_F.C." ], [ "Marcus_Kelly", "isAffiliatedTo", "England_national_football_C_team" ], [ "Marcus_Kelly", "isAffiliatedTo", "Tamworth_F.C." ], [ "Marcus_Kelly", "playsFor", "Tamworth_F.C." ], [ "Mark_Dempsey_(English_footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Mark_Dempsey_(English_footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Mark_Dempsey_(English_footballer)", "playsFor", "Manchester_United_F.C." ], [ "Mark_Dempsey_(English_footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Mark_Rankine", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Mark_Rankine", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Mark_Rankine", "playsFor", "Sheffield_United_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "England_national_football_C_team" ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Tamworth_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Tamworth_F.C." ], [ "Matthew_Williams_(footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Matthew_Williams_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Matthew_Williams_(footballer)", "playsFor", "Manchester_United_F.C." ], [ "Matthew_Williams_(footballer)", "playsFor", "Tamworth_F.C." ], [ "Michael_Rose_(footballer)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Michael_Rose_(footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Michael_Rose_(footballer)", "playsFor", "Manchester_United_F.C." ], [ "Michael_Tonge", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Michael_Tonge", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Michael_Tonge", "playsFor", "Sheffield_United_F.C." ], [ "Michael_Twiss", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Michael_Twiss", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Michael_Twiss", "playsFor", "Manchester_United_F.C." ], [ "Michael_Twiss", "playsFor", "Sheffield_United_F.C." ], [ "Michael_Wylde", "isAffiliatedTo", "England_national_football_C_team" ], [ "Michael_Wylde", "isAffiliatedTo", "Tamworth_F.C." ], [ "Michael_Wylde", "playsFor", "Tamworth_F.C." ], [ "Neil_Ross_(footballer)", "isAffiliatedTo", "Buxton_F.C." ], [ "Neil_Ross_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Neil_Ross_(footballer)", "playsFor", "Buxton_F.C." ], [ "Neil_Ross_(footballer)", "playsFor", "Tamworth_F.C." ], [ "Nick_Wright_(footballer_born_1987)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Nick_Wright_(footballer_born_1987)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Nick_Wright_(footballer_born_1987)", "playsFor", "England_national_football_C_team" ], [ "Nick_Wright_(footballer_born_1987)", "playsFor", "Tamworth_F.C." ], [ "Paddy_Sloan", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Paddy_Sloan", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Paddy_Sloan", "playsFor", "Manchester_United_F.C." ], [ "Paddy_Sloan", "playsFor", "Sheffield_United_F.C." ], [ "Paul_Devlin_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Paul_Devlin_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Paul_Devlin_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Paul_Devlin_(footballer)", "playsFor", "Tamworth_F.C." ], [ "Paul_Furlong", "isAffiliatedTo", "England_national_football_C_team" ], [ "Paul_Furlong", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Paul_Furlong", "playsFor", "England_national_football_C_team" ], [ "Paul_Furlong", "playsFor", "Sheffield_United_F.C." ], [ "Paul_Hall_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Paul_Hall_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Paul_Hall_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Paul_McGrath_(footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Paul_McGrath_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Paul_McGrath_(footballer)", "playsFor", "Manchester_United_F.C." ], [ "Paul_McGrath_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Paul_Parker_(footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Paul_Parker_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Paul_Parker_(footballer)", "playsFor", "Manchester_United_F.C." ], [ "Paul_Parker_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Percy_Mills,_1st_Viscount_Mills", "playsFor", "England_national_football_C_team" ], [ "Percy_Mills,_1st_Viscount_Mills", "playsFor", "Manchester_United_F.C." ], [ "Phil_Bardsley", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Phil_Bardsley", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Phil_Bardsley", "playsFor", "Manchester_United_F.C." ], [ "Phil_Bardsley", "playsFor", "Sheffield_United_F.C." ], [ "Richie_Baker_(English_footballer)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Richie_Baker_(English_footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Richie_Baker_(English_footballer)", "playsFor", "Tamworth_F.C." ], [ "Ritchie_De_Laet", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Ritchie_De_Laet", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Ritchie_De_Laet", "playsFor", "Manchester_United_F.C." ], [ "Ritchie_De_Laet", "playsFor", "Sheffield_United_F.C." ], [ "Roy_John", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Roy_John", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Roy_John", "playsFor", "Manchester_United_F.C." ], [ "Roy_John", "playsFor", "Sheffield_United_F.C." ], [ "Ryan_Hall_(footballer)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Ryan_Hall_(footballer)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Ryan_Hall_(footballer)", "playsFor", "England_national_football_C_team" ], [ "Ryan_Hall_(footballer)", "playsFor", "Sheffield_United_F.C." ], [ "Sam_Wedgbury", "isAffiliatedTo", "England_national_football_C_team" ], [ "Sam_Wedgbury", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Sam_Wedgbury", "playsFor", "England_national_football_C_team" ], [ "Sam_Wedgbury", "playsFor", "Sheffield_United_F.C." ], [ "Sean_McGinty", "playsFor", "Manchester_United_F.C." ], [ "Sean_McGinty", "playsFor", "Sheffield_United_F.C." ], [ "Shaun_Harrad", "isAffiliatedTo", "England_national_football_C_team" ], [ "Shaun_Harrad", "isAffiliatedTo", "Tamworth_F.C." ], [ "Shaun_Harrad", "playsFor", "Tamworth_F.C." ], [ "Stanley_O'Neal", "isCitizenOf", "United_States" ], [ "Stanley_O'Neal", "playsFor", "Tamworth_F.C." ], [ "Steve_Bruce", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Steve_Bruce", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Steve_Bruce", "playsFor", "Manchester_United_F.C." ], [ "Steve_Bruce", "playsFor", "Sheffield_United_F.C." ], [ "Steve_Ludlam", "isAffiliatedTo", "Buxton_F.C." ], [ "Steve_Ludlam", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Steve_Ludlam", "playsFor", "Buxton_F.C." ], [ "Steve_Ludlam", "playsFor", "Sheffield_United_F.C." ], [ "Steve_Paterson", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Steve_Paterson", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Steve_Paterson", "playsFor", "Manchester_United_F.C." ], [ "Steve_Paterson", "playsFor", "Sheffield_United_F.C." ], [ "Stewart_Houston", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Stewart_Houston", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Stewart_Houston", "playsFor", "Manchester_United_F.C." ], [ "Stewart_Houston", "playsFor", "Sheffield_United_F.C." ], [ "Thomas_Raikes_(dandy)", "playsFor", "England_national_football_C_team" ], [ "Thomas_Raikes_(dandy)", "playsFor", "Tamworth_F.C." ], [ "Tim_Ryan_(footballer)", "isAffiliatedTo", "Buxton_F.C." ], [ "Tim_Ryan_(footballer)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Tim_Ryan_(footballer)", "playsFor", "Buxton_F.C." ], [ "Tom_Shaw_(footballer)", "isAffiliatedTo", "England_national_football_C_team" ], [ "Tom_Shaw_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Tom_Shaw_(footballer)", "playsFor", "Tamworth_F.C." ], [ "Tommy_Boyle_(footballer_born_1901)", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Tommy_Boyle_(footballer_born_1901)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Tommy_Boyle_(footballer_born_1901)", "playsFor", "Manchester_United_F.C." ], [ "Tommy_Boyle_(footballer_born_1901)", "playsFor", "Sheffield_United_F.C." ], [ "Tommy_Johnson_(footballer_born_1971)", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Tommy_Johnson_(footballer_born_1971)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Tommy_Johnson_(footballer_born_1971)", "playsFor", "Sheffield_United_F.C." ], [ "Tommy_Johnson_(footballer_born_1971)", "playsFor", "Tamworth_F.C." ], [ "Tony_Daws", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Tony_Daws", "isAffiliatedTo", "Sheffield_United_F.C." ], [ "Tony_Daws", "playsFor", "Manchester_United_F.C." ], [ "Tony_Daws", "playsFor", "Sheffield_United_F.C." ], [ "Walter_Whittaker", "isAffiliatedTo", "Buxton_F.C." ], [ "Walter_Whittaker", "isAffiliatedTo", "Manchester_United_F.C." ], [ "Walter_Whittaker", "playsFor", "Buxton_F.C." ], [ "Walter_Whittaker", "playsFor", "Manchester_United_F.C." ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 73055, Hungary_national_under-21_football_team 72450, John_Cornforth_(footballer) 24550, Swansea_City_A.F.C. 71358, Tamás_Priskin 14953, Zsolt_Fehér src, edge_attr, dst 72450, isAffiliatedTo, 24550 72450, playsFor, 24550 71358, isAffiliatedTo, 73055 71358, isAffiliatedTo, 24550 71358, playsFor, 73055 71358, playsFor, 24550 14953, isAffiliatedTo, 73055 14953, playsFor, 73055 Question: For what reason are John_Cornforth_(footballer) and Zsolt_Fehér associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "John_Cornforth_(footballer)", "Zsolt_Fehér" ], "valid_edges": [ [ "John_Cornforth_(footballer)", "isAffiliatedTo", "Swansea_City_A.F.C." ], [ "John_Cornforth_(footballer)", "playsFor", "Swansea_City_A.F.C." ], [ "Tamás_Priskin", "isAffiliatedTo", "Hungary_national_under-21_football_team" ], [ "Tamás_Priskin", "isAffiliatedTo", "Swansea_City_A.F.C." ], [ "Tamás_Priskin", "playsFor", "Hungary_national_under-21_football_team" ], [ "Tamás_Priskin", "playsFor", "Swansea_City_A.F.C." ], [ "Zsolt_Fehér", "isAffiliatedTo", "Hungary_national_under-21_football_team" ], [ "Zsolt_Fehér", "playsFor", "Hungary_national_under-21_football_team" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 122147, Claudio_Ferrarese 107397, Claudio_Pelosi 73556, Daniel_Wolf 99797, Karl_Stürmer 35553, Moritz_Häusler 95155, Pasquale_Rocco 93305, Robson_Toledo 50133, Sandro_Bloudek 99438, Simone_Palermo 2862, Stefano_Di_Chiara 15888, U.S._Cremonese 91547, U.S._Pistoiese_1921 82691, Vienna src, edge_attr, dst 122147, isAffiliatedTo, 15888 122147, isAffiliatedTo, 91547 122147, playsFor, 15888 122147, playsFor, 91547 107397, isAffiliatedTo, 15888 107397, isAffiliatedTo, 91547 107397, playsFor, 15888 107397, playsFor, 91547 73556, isAffiliatedTo, 91547 73556, playsFor, 91547 73556, wasBornIn, 82691 99797, isAffiliatedTo, 15888 99797, wasBornIn, 82691 35553, diedIn, 82691 35553, wasBornIn, 82691 95155, isAffiliatedTo, 91547 95155, playsFor, 15888 95155, playsFor, 91547 93305, isAffiliatedTo, 15888 93305, isAffiliatedTo, 91547 93305, playsFor, 15888 93305, playsFor, 91547 50133, isAffiliatedTo, 15888 50133, isAffiliatedTo, 91547 50133, playsFor, 15888 50133, playsFor, 91547 99438, playsFor, 15888 99438, playsFor, 91547 2862, isAffiliatedTo, 15888 2862, isAffiliatedTo, 91547 2862, playsFor, 15888 2862, playsFor, 91547 Question: How are Moritz_Häusler and Stefano_Di_Chiara related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Moritz_Häusler", "Stefano_Di_Chiara" ], "valid_edges": [ [ "Claudio_Ferrarese", "isAffiliatedTo", "U.S._Cremonese" ], [ "Claudio_Ferrarese", "isAffiliatedTo", "U.S._Pistoiese_1921" ], [ "Claudio_Ferrarese", "playsFor", "U.S._Cremonese" ], [ "Claudio_Ferrarese", "playsFor", "U.S._Pistoiese_1921" ], [ "Claudio_Pelosi", "isAffiliatedTo", "U.S._Cremonese" ], [ "Claudio_Pelosi", "isAffiliatedTo", "U.S._Pistoiese_1921" ], [ "Claudio_Pelosi", "playsFor", "U.S._Cremonese" ], [ "Claudio_Pelosi", "playsFor", "U.S._Pistoiese_1921" ], [ "Daniel_Wolf", "isAffiliatedTo", "U.S._Pistoiese_1921" ], [ "Daniel_Wolf", "playsFor", "U.S._Pistoiese_1921" ], [ "Daniel_Wolf", "wasBornIn", "Vienna" ], [ "Karl_Stürmer", "isAffiliatedTo", "U.S._Cremonese" ], [ "Karl_Stürmer", "wasBornIn", "Vienna" ], [ "Moritz_Häusler", "diedIn", "Vienna" ], [ "Moritz_Häusler", "wasBornIn", "Vienna" ], [ "Pasquale_Rocco", "isAffiliatedTo", "U.S._Pistoiese_1921" ], [ "Pasquale_Rocco", "playsFor", "U.S._Cremonese" ], [ "Pasquale_Rocco", "playsFor", "U.S._Pistoiese_1921" ], [ "Robson_Toledo", "isAffiliatedTo", "U.S._Cremonese" ], [ "Robson_Toledo", "isAffiliatedTo", "U.S._Pistoiese_1921" ], [ "Robson_Toledo", "playsFor", "U.S._Cremonese" ], [ "Robson_Toledo", "playsFor", "U.S._Pistoiese_1921" ], [ "Sandro_Bloudek", "isAffiliatedTo", "U.S._Cremonese" ], [ "Sandro_Bloudek", "isAffiliatedTo", "U.S._Pistoiese_1921" ], [ "Sandro_Bloudek", "playsFor", "U.S._Cremonese" ], [ "Sandro_Bloudek", "playsFor", "U.S._Pistoiese_1921" ], [ "Simone_Palermo", "playsFor", "U.S._Cremonese" ], [ "Simone_Palermo", "playsFor", "U.S._Pistoiese_1921" ], [ "Stefano_Di_Chiara", "isAffiliatedTo", "U.S._Cremonese" ], [ "Stefano_Di_Chiara", "isAffiliatedTo", "U.S._Pistoiese_1921" ], [ "Stefano_Di_Chiara", "playsFor", "U.S._Cremonese" ], [ "Stefano_Di_Chiara", "playsFor", "U.S._Pistoiese_1921" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 27515, Billie_Holiday 75080, Blythe_Danner 65427, Charlotte_Greenwood 20884, Cornelia_Adair 14517, Elaine_May 100359, Eleanor_Boardman 95668, Ethel_Barrymore 53941, Eve_(entertainer) 52535, Grace_Kelly 91653, Gwen_Margolis 83211, Jeanette_MacDonald 54472, Kat_Dennings 44102, Kate_DiCamillo 27596, Kim_Delaney 92175, Linda_Creed 55320, Linda_Fiorentino 95466, Lisa_Lopes 89588, Lois_Duncan 59490, Lois_Wolk 70692, Mae_Clarke 28262, Mardy_Collins 86303, Margaret_Mead 36500, Mary_Boland 81186, Melanie_Mayron 31527, Mildred_Cohn 11329, Mirah 53452, Nancy_Meyers 78513, Pearl_Bailey 42078, Petra_Marklund 34877, Philadelphia 70639, Phyllis_Hyman 7156, Santigold 49052, Susan_Seidelman 48642, Tamara_Jenkins 95147, Tammi_Terrell 23327, Vera_Rubin 54475, Vivian_Rich 80384, female src, edge_attr, dst 27515, hasGender, 80384 27515, wasBornIn, 34877 75080, hasGender, 80384 75080, wasBornIn, 34877 65427, hasGender, 80384 65427, wasBornIn, 34877 20884, hasGender, 80384 20884, wasBornIn, 34877 14517, hasGender, 80384 14517, wasBornIn, 34877 100359, hasGender, 80384 100359, wasBornIn, 34877 95668, hasGender, 80384 95668, wasBornIn, 34877 53941, hasGender, 80384 53941, wasBornIn, 34877 52535, hasGender, 80384 52535, wasBornIn, 34877 91653, hasGender, 80384 91653, wasBornIn, 34877 83211, hasGender, 80384 83211, wasBornIn, 34877 54472, hasGender, 80384 54472, wasBornIn, 34877 44102, hasGender, 80384 44102, wasBornIn, 34877 27596, hasGender, 80384 27596, wasBornIn, 34877 92175, hasGender, 80384 92175, wasBornIn, 34877 55320, hasGender, 80384 55320, wasBornIn, 34877 95466, hasGender, 80384 95466, wasBornIn, 34877 89588, hasGender, 80384 89588, wasBornIn, 34877 59490, hasGender, 80384 59490, wasBornIn, 34877 70692, hasGender, 80384 70692, wasBornIn, 34877 28262, wasBornIn, 34877 86303, hasGender, 80384 86303, wasBornIn, 34877 36500, hasGender, 80384 36500, wasBornIn, 34877 81186, hasGender, 80384 81186, wasBornIn, 34877 31527, diedIn, 34877 31527, hasGender, 80384 11329, hasGender, 80384 11329, wasBornIn, 34877 53452, hasGender, 80384 53452, wasBornIn, 34877 78513, diedIn, 34877 78513, hasGender, 80384 42078, hasGender, 80384 70639, hasGender, 80384 70639, wasBornIn, 34877 7156, hasGender, 80384 7156, wasBornIn, 34877 49052, hasGender, 80384 49052, wasBornIn, 34877 48642, hasGender, 80384 48642, wasBornIn, 34877 95147, diedIn, 34877 95147, hasGender, 80384 95147, wasBornIn, 34877 23327, hasGender, 80384 23327, wasBornIn, 34877 54475, hasGender, 80384 54475, wasBornIn, 34877 Question: In what context are Mardy_Collins and Petra_Marklund connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Mardy_Collins", "Petra_Marklund" ], "valid_edges": [ [ "Billie_Holiday", "hasGender", "female" ], [ "Billie_Holiday", "wasBornIn", "Philadelphia" ], [ "Blythe_Danner", "hasGender", "female" ], [ "Blythe_Danner", "wasBornIn", "Philadelphia" ], [ "Charlotte_Greenwood", "hasGender", "female" ], [ "Charlotte_Greenwood", "wasBornIn", "Philadelphia" ], [ "Cornelia_Adair", "hasGender", "female" ], [ "Cornelia_Adair", "wasBornIn", "Philadelphia" ], [ "Elaine_May", "hasGender", "female" ], [ "Elaine_May", "wasBornIn", "Philadelphia" ], [ "Eleanor_Boardman", "hasGender", "female" ], [ "Eleanor_Boardman", "wasBornIn", "Philadelphia" ], [ "Ethel_Barrymore", "hasGender", "female" ], [ "Ethel_Barrymore", "wasBornIn", "Philadelphia" ], [ "Eve_(entertainer)", "hasGender", "female" ], [ "Eve_(entertainer)", "wasBornIn", "Philadelphia" ], [ "Grace_Kelly", "hasGender", "female" ], [ "Grace_Kelly", "wasBornIn", "Philadelphia" ], [ "Gwen_Margolis", "hasGender", "female" ], [ "Gwen_Margolis", "wasBornIn", "Philadelphia" ], [ "Jeanette_MacDonald", "hasGender", "female" ], [ "Jeanette_MacDonald", "wasBornIn", "Philadelphia" ], [ "Kat_Dennings", "hasGender", "female" ], [ "Kat_Dennings", "wasBornIn", "Philadelphia" ], [ "Kate_DiCamillo", "hasGender", "female" ], [ "Kate_DiCamillo", "wasBornIn", "Philadelphia" ], [ "Kim_Delaney", "hasGender", "female" ], [ "Kim_Delaney", "wasBornIn", "Philadelphia" ], [ "Linda_Creed", "hasGender", "female" ], [ "Linda_Creed", "wasBornIn", "Philadelphia" ], [ "Linda_Fiorentino", "hasGender", "female" ], [ "Linda_Fiorentino", "wasBornIn", "Philadelphia" ], [ "Lisa_Lopes", "hasGender", "female" ], [ "Lisa_Lopes", "wasBornIn", "Philadelphia" ], [ "Lois_Duncan", "hasGender", "female" ], [ "Lois_Duncan", "wasBornIn", "Philadelphia" ], [ "Lois_Wolk", "hasGender", "female" ], [ "Lois_Wolk", "wasBornIn", "Philadelphia" ], [ "Mae_Clarke", "hasGender", "female" ], [ "Mae_Clarke", "wasBornIn", "Philadelphia" ], [ "Mardy_Collins", "wasBornIn", "Philadelphia" ], [ "Margaret_Mead", "hasGender", "female" ], [ "Margaret_Mead", "wasBornIn", "Philadelphia" ], [ "Mary_Boland", "hasGender", "female" ], [ "Mary_Boland", "wasBornIn", "Philadelphia" ], [ "Melanie_Mayron", "hasGender", "female" ], [ "Melanie_Mayron", "wasBornIn", "Philadelphia" ], [ "Mildred_Cohn", "diedIn", "Philadelphia" ], [ "Mildred_Cohn", "hasGender", "female" ], [ "Mirah", "hasGender", "female" ], [ "Mirah", "wasBornIn", "Philadelphia" ], [ "Nancy_Meyers", "hasGender", "female" ], [ "Nancy_Meyers", "wasBornIn", "Philadelphia" ], [ "Pearl_Bailey", "diedIn", "Philadelphia" ], [ "Pearl_Bailey", "hasGender", "female" ], [ "Petra_Marklund", "hasGender", "female" ], [ "Phyllis_Hyman", "hasGender", "female" ], [ "Phyllis_Hyman", "wasBornIn", "Philadelphia" ], [ "Santigold", "hasGender", "female" ], [ "Santigold", "wasBornIn", "Philadelphia" ], [ "Susan_Seidelman", "hasGender", "female" ], [ "Susan_Seidelman", "wasBornIn", "Philadelphia" ], [ "Tamara_Jenkins", "hasGender", "female" ], [ "Tamara_Jenkins", "wasBornIn", "Philadelphia" ], [ "Tammi_Terrell", "diedIn", "Philadelphia" ], [ "Tammi_Terrell", "hasGender", "female" ], [ "Tammi_Terrell", "wasBornIn", "Philadelphia" ], [ "Vera_Rubin", "hasGender", "female" ], [ "Vera_Rubin", "wasBornIn", "Philadelphia" ], [ "Vivian_Rich", "hasGender", "female" ], [ "Vivian_Rich", "wasBornIn", "Philadelphia" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 39594, Albania 40069, Austria 16991, Belgium 109033, Belgrade 19466, Bulgaria 72048, Combat_18 68509, Croatia 111583, Czech_Republic 64438, Denmark 113495, Eurosport_2 52555, Finland 30769, Greece 48909, Hungary 4293, Iceland 91672, Ivan_Pudar 12542, Kosovo 16243, Luxembourg 76060, Moldova 56183, Montenegro 31871, Republic_of_Ireland 122541, Republic_of_Macedonia 82402, Romania 9269, Serbia 62969, Slovakia 44599, Slovenia 6827, Sweden 69478, Switzerland 53538, Turkey 86319, Ukraine 116232, War_in_Afghanistan_(2001–present) 75056, War_on_Terror 34532, de/SD_Worx 99322, wordnet_chemical_114806838 8070, wordnet_fabric_103309808 39354, wordnet_foodstuff_107566340 src, edge_attr, dst 39594, imports, 8070 39594, imports, 39354 39594, participatedIn, 116232 39594, participatedIn, 75056 40069, exports, 8070 40069, exports, 39354 40069, participatedIn, 116232 40069, participatedIn, 75056 16991, exports, 39354 16991, imports, 39354 16991, participatedIn, 116232 16991, participatedIn, 75056 109033, isLocatedIn, 9269 19466, participatedIn, 116232 19466, participatedIn, 75056 72048, isLocatedIn, 16991 72048, isLocatedIn, 111583 72048, isLocatedIn, 64438 72048, isLocatedIn, 30769 72048, isLocatedIn, 4293 72048, isLocatedIn, 31871 72048, isLocatedIn, 9269 72048, isLocatedIn, 6827 68509, exports, 8070 68509, exports, 39354 68509, participatedIn, 116232 68509, participatedIn, 75056 111583, participatedIn, 116232 111583, participatedIn, 75056 64438, dealsWith, 6827 64438, imports, 99322 64438, participatedIn, 116232 64438, participatedIn, 75056 113495, isLocatedIn, 64438 113495, isLocatedIn, 6827 52555, dealsWith, 6827 52555, hasNeighbor, 6827 52555, imports, 39354 52555, participatedIn, 116232 52555, participatedIn, 75056 30769, participatedIn, 116232 30769, participatedIn, 75056 48909, participatedIn, 116232 48909, participatedIn, 75056 4293, dealsWith, 64438 4293, dealsWith, 6827 4293, imports, 8070 4293, imports, 39354 4293, participatedIn, 116232 4293, participatedIn, 75056 91672, wasBornIn, 109033 12542, imports, 8070 12542, imports, 39354 16243, imports, 39354 16243, participatedIn, 116232 16243, participatedIn, 75056 76060, exports, 8070 76060, exports, 39354 76060, imports, 8070 76060, participatedIn, 75056 56183, participatedIn, 116232 56183, participatedIn, 75056 31871, exports, 39354 31871, imports, 8070 122541, imports, 39354 122541, participatedIn, 116232 82402, participatedIn, 116232 82402, participatedIn, 75056 9269, hasCapital, 109033 62969, participatedIn, 116232 62969, participatedIn, 75056 44599, participatedIn, 116232 44599, participatedIn, 75056 6827, dealsWith, 16991 6827, dealsWith, 64438 6827, dealsWith, 52555 6827, exports, 99322 6827, hasNeighbor, 52555 6827, imports, 99322 6827, participatedIn, 116232 6827, participatedIn, 75056 69478, imports, 8070 69478, participatedIn, 116232 53538, exports, 8070 53538, exports, 39354 53538, participatedIn, 116232 53538, participatedIn, 75056 86319, exports, 39354 86319, participatedIn, 116232 86319, participatedIn, 75056 116232, happenedIn, 16991 116232, happenedIn, 82402 116232, happenedIn, 53538 34532, isLocatedIn, 64438 34532, isLocatedIn, 6827 Question: How are Iceland and Ivan_Pudar related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Iceland", "Ivan_Pudar" ], "valid_edges": [ [ "Albania", "imports", "wordnet_fabric_103309808" ], [ "Albania", "imports", "wordnet_foodstuff_107566340" ], [ "Albania", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Albania", "participatedIn", "War_on_Terror" ], [ "Austria", "exports", "wordnet_fabric_103309808" ], [ "Austria", "exports", "wordnet_foodstuff_107566340" ], [ "Austria", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Austria", "participatedIn", "War_on_Terror" ], [ "Belgium", "exports", "wordnet_foodstuff_107566340" ], [ "Belgium", "imports", "wordnet_foodstuff_107566340" ], [ "Belgium", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Belgium", "participatedIn", "War_on_Terror" ], [ "Belgrade", "isLocatedIn", "Serbia" ], [ "Bulgaria", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Bulgaria", "participatedIn", "War_on_Terror" ], [ "Combat_18", "isLocatedIn", "Belgium" ], [ "Combat_18", "isLocatedIn", "Czech_Republic" ], [ "Combat_18", "isLocatedIn", "Denmark" ], [ "Combat_18", "isLocatedIn", "Greece" ], [ "Combat_18", "isLocatedIn", "Iceland" ], [ "Combat_18", "isLocatedIn", "Republic_of_Ireland" ], [ "Combat_18", "isLocatedIn", "Serbia" ], [ "Combat_18", "isLocatedIn", "Sweden" ], [ "Croatia", "exports", "wordnet_fabric_103309808" ], [ "Croatia", "exports", "wordnet_foodstuff_107566340" ], [ "Croatia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Croatia", "participatedIn", "War_on_Terror" ], [ "Czech_Republic", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Czech_Republic", "participatedIn", "War_on_Terror" ], [ "Denmark", "dealsWith", "Sweden" ], [ "Denmark", "imports", "wordnet_chemical_114806838" ], [ "Denmark", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Denmark", "participatedIn", "War_on_Terror" ], [ "Eurosport_2", "isLocatedIn", "Denmark" ], [ "Eurosport_2", "isLocatedIn", "Sweden" ], [ "Finland", "dealsWith", "Sweden" ], [ "Finland", "hasNeighbor", "Sweden" ], [ "Finland", "imports", "wordnet_foodstuff_107566340" ], [ "Finland", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Finland", "participatedIn", "War_on_Terror" ], [ "Greece", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Greece", "participatedIn", "War_on_Terror" ], [ "Hungary", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Hungary", "participatedIn", "War_on_Terror" ], [ "Iceland", "dealsWith", "Denmark" ], [ "Iceland", "dealsWith", "Sweden" ], [ "Iceland", "imports", "wordnet_fabric_103309808" ], [ "Iceland", "imports", "wordnet_foodstuff_107566340" ], [ "Iceland", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Iceland", "participatedIn", "War_on_Terror" ], [ "Ivan_Pudar", "wasBornIn", "Belgrade" ], [ "Kosovo", "imports", "wordnet_fabric_103309808" ], [ "Kosovo", "imports", "wordnet_foodstuff_107566340" ], [ "Luxembourg", "imports", "wordnet_foodstuff_107566340" ], [ "Luxembourg", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Luxembourg", "participatedIn", "War_on_Terror" ], [ "Moldova", "exports", "wordnet_fabric_103309808" ], [ "Moldova", "exports", "wordnet_foodstuff_107566340" ], [ "Moldova", "imports", "wordnet_fabric_103309808" ], [ "Moldova", "participatedIn", "War_on_Terror" ], [ "Montenegro", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Montenegro", "participatedIn", "War_on_Terror" ], [ "Republic_of_Ireland", "exports", "wordnet_foodstuff_107566340" ], [ "Republic_of_Ireland", "imports", "wordnet_fabric_103309808" ], [ "Republic_of_Macedonia", "imports", "wordnet_foodstuff_107566340" ], [ "Republic_of_Macedonia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Romania", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Romania", "participatedIn", "War_on_Terror" ], [ "Serbia", "hasCapital", "Belgrade" ], [ "Slovakia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Slovakia", "participatedIn", "War_on_Terror" ], [ "Slovenia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Slovenia", "participatedIn", "War_on_Terror" ], [ "Sweden", "dealsWith", "Belgium" ], [ "Sweden", "dealsWith", "Denmark" ], [ "Sweden", "dealsWith", "Finland" ], [ "Sweden", "exports", "wordnet_chemical_114806838" ], [ "Sweden", "hasNeighbor", "Finland" ], [ "Sweden", "imports", "wordnet_chemical_114806838" ], [ "Sweden", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Sweden", "participatedIn", "War_on_Terror" ], [ "Switzerland", "imports", "wordnet_fabric_103309808" ], [ "Switzerland", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Turkey", "exports", "wordnet_fabric_103309808" ], [ "Turkey", "exports", "wordnet_foodstuff_107566340" ], [ "Turkey", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Turkey", "participatedIn", "War_on_Terror" ], [ "Ukraine", "exports", "wordnet_foodstuff_107566340" ], [ "Ukraine", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Ukraine", "participatedIn", "War_on_Terror" ], [ "War_in_Afghanistan_(2001–present)", "happenedIn", "Belgium" ], [ "War_in_Afghanistan_(2001–present)", "happenedIn", "Romania" ], [ "War_in_Afghanistan_(2001–present)", "happenedIn", "Turkey" ], [ "de/SD_Worx", "isLocatedIn", "Denmark" ], [ "de/SD_Worx", "isLocatedIn", "Sweden" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 74542, Aleksander_Fredro 25702, Aleksander_Jabłoński 53208, Aleksander_Kwaśniewski 73600, Aleksander_Prystor 28459, Anatol_Stern 71189, Andrzej_Mostowski 42478, Antoni_Malczewski 121651, Antoni_Zygmund 116881, Artur_Ekert 38872, Benoit_Mandelbrot 96826, Bolesław_Bierut 89853, Bolesław_Prus 110673, Bolesław_Wieniawa-Długoszowski 101698, Bronisław_Komorowski 116575, Cezary_Trybański 7027, Donald_Tusk 68928, Edward_Gierek 48593, Franciszek_Ksawery_Drucki-Lubecki 108843, Grzegorz_Schetyna 6198, Gustavo_Barros_Schelotto 19075, Henryk_Jabłoński 97014, Hugo_Steinhaus 93710, Ignacy_Mościcki 49225, Ivan_Śleszyński 631, Jacek_Kuroń 3182, Jan_Mikulicz-Radecki 76602, Janusz_Jędrzejewicz 59494, Jarosław_Kaczyński 100894, Jerzy_Buzek 86342, John_Maurice_Hauke 87368, Josef_Herzig 88323, Joseph_Rotblat 81984, Józef_Cyrankiewicz 44134, Józef_Gosławski_(sculptor) 62427, Józef_Haller 42501, Józef_Piłsudski 89132, Kazimierz_Marcinkiewicz 34855, Krzysztof_Matyjaszewski 6355, Lech_Kaczyński 86182, Lech_Wałęsa 119655, Leonid_Hurwicz 21054, Leopold_Infeld 373, Leszek_Miller 111739, Lucjan_Żeligowski 34152, Marek_Belka 42064, Marian_Spychalski 112347, Michał_Waszyński 69710, Mieczysław_Rakowski 108651, Oskar_R._Lange 67382, Paul_Erdős 6049, Piotr_Jaroszewicz 59225, Poland 22754, Radosław_Sikorski 103797, Roald_Hoffmann 65600, Ryszard_Syski 62730, Samuel_Karlin 55564, Skaryszew 57573, Stanislaw_Ulam 101281, Stanisław_Lem 1606, Stanisław_Mackiewicz 7676, Stanisław_Ostrowski 54829, Stanisław_Wojciechowski 107152, Stefan_Mazurkiewicz 38410, Tadeusz_Mazowiecki 22258, Waldemar_Pawlak 30259, Witold_Gombrowicz 120174, Wojciech_Jaruzelski 19790, Władysław_Gomułka 8915, Władysław_Sikorski 105391, Włodzimierz_Cimoszewicz 120252, Xawery_Dunikowski 25562, Yaniv_Green 21301, Zbigniew_Herbert 79692, Zbigniew_Messner 118104, male src, edge_attr, dst 74542, hasGender, 118104 74542, isCitizenOf, 59225 25702, hasGender, 118104 25702, isCitizenOf, 59225 25702, livesIn, 59225 53208, hasGender, 118104 53208, isPoliticianOf, 59225 73600, hasGender, 118104 73600, isPoliticianOf, 59225 28459, hasGender, 118104 28459, isCitizenOf, 59225 71189, hasGender, 118104 71189, isCitizenOf, 59225 42478, hasGender, 118104 42478, isCitizenOf, 59225 121651, hasGender, 118104 121651, isCitizenOf, 59225 116881, hasGender, 118104 116881, isCitizenOf, 59225 38872, hasGender, 118104 38872, livesIn, 59225 96826, hasGender, 118104 96826, isPoliticianOf, 59225 89853, hasGender, 118104 89853, isCitizenOf, 59225 110673, hasGender, 118104 110673, isCitizenOf, 59225 110673, isPoliticianOf, 59225 101698, hasGender, 118104 101698, isLeaderOf, 59225 101698, isPoliticianOf, 59225 116575, hasGender, 118104 116575, isCitizenOf, 59225 7027, hasGender, 118104 7027, isLeaderOf, 59225 7027, isPoliticianOf, 59225 68928, hasGender, 118104 68928, isCitizenOf, 59225 48593, hasGender, 118104 48593, isPoliticianOf, 59225 108843, hasGender, 118104 108843, isPoliticianOf, 59225 6198, hasGender, 118104 19075, hasGender, 118104 19075, isCitizenOf, 59225 19075, isPoliticianOf, 59225 97014, hasGender, 118104 97014, isCitizenOf, 59225 97014, livesIn, 59225 93710, hasGender, 118104 93710, isPoliticianOf, 59225 49225, hasGender, 118104 49225, isCitizenOf, 59225 631, hasGender, 118104 631, isPoliticianOf, 59225 3182, hasGender, 118104 3182, isCitizenOf, 59225 76602, hasGender, 118104 76602, isPoliticianOf, 59225 59494, hasGender, 118104 59494, isPoliticianOf, 59225 100894, hasGender, 118104 100894, isPoliticianOf, 59225 86342, hasGender, 118104 86342, isPoliticianOf, 59225 87368, hasGender, 118104 87368, isCitizenOf, 59225 88323, hasGender, 118104 88323, isCitizenOf, 59225 81984, hasGender, 118104 81984, isPoliticianOf, 59225 44134, hasGender, 118104 44134, isCitizenOf, 59225 62427, hasGender, 118104 62427, isPoliticianOf, 59225 42501, hasGender, 118104 42501, isPoliticianOf, 59225 89132, hasGender, 118104 89132, isPoliticianOf, 59225 34855, hasGender, 118104 34855, isCitizenOf, 59225 6355, hasGender, 118104 6355, isPoliticianOf, 59225 86182, hasGender, 118104 86182, isPoliticianOf, 59225 119655, hasGender, 118104 119655, isCitizenOf, 59225 21054, hasGender, 118104 21054, isCitizenOf, 59225 21054, livesIn, 59225 373, hasGender, 118104 373, isPoliticianOf, 59225 111739, hasGender, 118104 111739, isCitizenOf, 59225 34152, hasGender, 118104 34152, isPoliticianOf, 59225 42064, hasGender, 118104 42064, isPoliticianOf, 59225 112347, hasGender, 118104 112347, isCitizenOf, 59225 69710, hasGender, 118104 69710, isPoliticianOf, 59225 108651, hasGender, 118104 108651, isCitizenOf, 59225 67382, hasGender, 118104 67382, isCitizenOf, 59225 6049, hasGender, 118104 6049, isPoliticianOf, 59225 22754, hasGender, 118104 22754, isPoliticianOf, 59225 103797, hasGender, 118104 103797, isCitizenOf, 59225 65600, hasGender, 118104 65600, livesIn, 59225 62730, hasGender, 118104 62730, isCitizenOf, 59225 55564, isLocatedIn, 59225 57573, hasGender, 118104 57573, isCitizenOf, 59225 101281, hasGender, 118104 101281, isCitizenOf, 59225 1606, hasGender, 118104 1606, isPoliticianOf, 59225 7676, hasGender, 118104 7676, isCitizenOf, 59225 7676, isPoliticianOf, 59225 54829, hasGender, 118104 54829, isPoliticianOf, 59225 107152, hasGender, 118104 107152, isCitizenOf, 59225 38410, hasGender, 118104 38410, isPoliticianOf, 59225 22258, hasGender, 118104 22258, isPoliticianOf, 59225 30259, hasGender, 118104 30259, isCitizenOf, 59225 120174, hasGender, 118104 120174, isPoliticianOf, 59225 19790, hasGender, 118104 19790, isCitizenOf, 59225 19790, isPoliticianOf, 59225 8915, hasGender, 118104 8915, isPoliticianOf, 59225 105391, hasGender, 118104 105391, isPoliticianOf, 59225 120252, hasGender, 118104 120252, isCitizenOf, 59225 25562, hasGender, 118104 25562, isCitizenOf, 59225 21301, hasGender, 118104 21301, isCitizenOf, 59225 79692, hasGender, 118104 79692, isPoliticianOf, 59225 Question: How are Gustavo_Barros_Schelotto and Skaryszew related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gustavo_Barros_Schelotto", "Skaryszew" ], "valid_edges": [ [ "Aleksander_Fredro", "hasGender", "male" ], [ "Aleksander_Fredro", "isCitizenOf", "Poland" ], [ "Aleksander_Jabłoński", "hasGender", "male" ], [ "Aleksander_Jabłoński", "isCitizenOf", "Poland" ], [ "Aleksander_Jabłoński", "livesIn", "Poland" ], [ "Aleksander_Kwaśniewski", "hasGender", "male" ], [ "Aleksander_Kwaśniewski", "isPoliticianOf", "Poland" ], [ "Aleksander_Prystor", "hasGender", "male" ], [ "Aleksander_Prystor", "isPoliticianOf", "Poland" ], [ "Anatol_Stern", "hasGender", "male" ], [ "Anatol_Stern", "isCitizenOf", "Poland" ], [ "Andrzej_Mostowski", "hasGender", "male" ], [ "Andrzej_Mostowski", "isCitizenOf", "Poland" ], [ "Antoni_Malczewski", "hasGender", "male" ], [ "Antoni_Malczewski", "isCitizenOf", "Poland" ], [ "Antoni_Zygmund", "hasGender", "male" ], [ "Antoni_Zygmund", "isCitizenOf", "Poland" ], [ "Artur_Ekert", "hasGender", "male" ], [ "Artur_Ekert", "isCitizenOf", "Poland" ], [ "Benoit_Mandelbrot", "hasGender", "male" ], [ "Benoit_Mandelbrot", "livesIn", "Poland" ], [ "Bolesław_Bierut", "hasGender", "male" ], [ "Bolesław_Bierut", "isPoliticianOf", "Poland" ], [ "Bolesław_Prus", "hasGender", "male" ], [ "Bolesław_Prus", "isCitizenOf", "Poland" ], [ "Bolesław_Wieniawa-Długoszowski", "hasGender", "male" ], [ "Bolesław_Wieniawa-Długoszowski", "isCitizenOf", "Poland" ], [ "Bolesław_Wieniawa-Długoszowski", "isPoliticianOf", "Poland" ], [ "Bronisław_Komorowski", "hasGender", "male" ], [ "Bronisław_Komorowski", "isLeaderOf", "Poland" ], [ "Bronisław_Komorowski", "isPoliticianOf", "Poland" ], [ "Cezary_Trybański", "hasGender", "male" ], [ "Cezary_Trybański", "isCitizenOf", "Poland" ], [ "Donald_Tusk", "hasGender", "male" ], [ "Donald_Tusk", "isLeaderOf", "Poland" ], [ "Donald_Tusk", "isPoliticianOf", "Poland" ], [ "Edward_Gierek", "hasGender", "male" ], [ "Edward_Gierek", "isCitizenOf", "Poland" ], [ "Franciszek_Ksawery_Drucki-Lubecki", "hasGender", "male" ], [ "Franciszek_Ksawery_Drucki-Lubecki", "isPoliticianOf", "Poland" ], [ "Grzegorz_Schetyna", "hasGender", "male" ], [ "Grzegorz_Schetyna", "isPoliticianOf", "Poland" ], [ "Gustavo_Barros_Schelotto", "hasGender", "male" ], [ "Henryk_Jabłoński", "hasGender", "male" ], [ "Henryk_Jabłoński", "isCitizenOf", "Poland" ], [ "Henryk_Jabłoński", "isPoliticianOf", "Poland" ], [ "Hugo_Steinhaus", "hasGender", "male" ], [ "Hugo_Steinhaus", "isCitizenOf", "Poland" ], [ "Hugo_Steinhaus", "livesIn", "Poland" ], [ "Ignacy_Mościcki", "hasGender", "male" ], [ "Ignacy_Mościcki", "isPoliticianOf", "Poland" ], [ "Ivan_Śleszyński", "hasGender", "male" ], [ "Ivan_Śleszyński", "isCitizenOf", "Poland" ], [ "Jacek_Kuroń", "hasGender", "male" ], [ "Jacek_Kuroń", "isPoliticianOf", "Poland" ], [ "Jan_Mikulicz-Radecki", "hasGender", "male" ], [ "Jan_Mikulicz-Radecki", "isCitizenOf", "Poland" ], [ "Janusz_Jędrzejewicz", "hasGender", "male" ], [ "Janusz_Jędrzejewicz", "isPoliticianOf", "Poland" ], [ "Jarosław_Kaczyński", "hasGender", "male" ], [ "Jarosław_Kaczyński", "isPoliticianOf", "Poland" ], [ "Jerzy_Buzek", "hasGender", "male" ], [ "Jerzy_Buzek", "isPoliticianOf", "Poland" ], [ "John_Maurice_Hauke", "hasGender", "male" ], [ "John_Maurice_Hauke", "isPoliticianOf", "Poland" ], [ "Josef_Herzig", "hasGender", "male" ], [ "Josef_Herzig", "isCitizenOf", "Poland" ], [ "Joseph_Rotblat", "hasGender", "male" ], [ "Joseph_Rotblat", "isCitizenOf", "Poland" ], [ "Józef_Cyrankiewicz", "hasGender", "male" ], [ "Józef_Cyrankiewicz", "isPoliticianOf", "Poland" ], [ "Józef_Gosławski_(sculptor)", "hasGender", "male" ], [ "Józef_Gosławski_(sculptor)", "isCitizenOf", "Poland" ], [ "Józef_Haller", "hasGender", "male" ], [ "Józef_Haller", "isPoliticianOf", "Poland" ], [ "Józef_Piłsudski", "hasGender", "male" ], [ "Józef_Piłsudski", "isPoliticianOf", "Poland" ], [ "Kazimierz_Marcinkiewicz", "hasGender", "male" ], [ "Kazimierz_Marcinkiewicz", "isPoliticianOf", "Poland" ], [ "Krzysztof_Matyjaszewski", "hasGender", "male" ], [ "Krzysztof_Matyjaszewski", "isCitizenOf", "Poland" ], [ "Lech_Kaczyński", "hasGender", "male" ], [ "Lech_Kaczyński", "isPoliticianOf", "Poland" ], [ "Lech_Wałęsa", "hasGender", "male" ], [ "Lech_Wałęsa", "isPoliticianOf", "Poland" ], [ "Leonid_Hurwicz", "hasGender", "male" ], [ "Leonid_Hurwicz", "isCitizenOf", "Poland" ], [ "Leopold_Infeld", "hasGender", "male" ], [ "Leopold_Infeld", "isCitizenOf", "Poland" ], [ "Leopold_Infeld", "livesIn", "Poland" ], [ "Leszek_Miller", "hasGender", "male" ], [ "Leszek_Miller", "isPoliticianOf", "Poland" ], [ "Lucjan_Żeligowski", "hasGender", "male" ], [ "Lucjan_Żeligowski", "isCitizenOf", "Poland" ], [ "Marek_Belka", "hasGender", "male" ], [ "Marek_Belka", "isPoliticianOf", "Poland" ], [ "Marian_Spychalski", "hasGender", "male" ], [ "Marian_Spychalski", "isPoliticianOf", "Poland" ], [ "Michał_Waszyński", "hasGender", "male" ], [ "Michał_Waszyński", "isCitizenOf", "Poland" ], [ "Mieczysław_Rakowski", "hasGender", "male" ], [ "Mieczysław_Rakowski", "isPoliticianOf", "Poland" ], [ "Oskar_R._Lange", "hasGender", "male" ], [ "Oskar_R._Lange", "isCitizenOf", "Poland" ], [ "Paul_Erdős", "hasGender", "male" ], [ "Paul_Erdős", "isCitizenOf", "Poland" ], [ "Piotr_Jaroszewicz", "hasGender", "male" ], [ "Piotr_Jaroszewicz", "isPoliticianOf", "Poland" ], [ "Radosław_Sikorski", "hasGender", "male" ], [ "Radosław_Sikorski", "isPoliticianOf", "Poland" ], [ "Roald_Hoffmann", "hasGender", "male" ], [ "Roald_Hoffmann", "isCitizenOf", "Poland" ], [ "Ryszard_Syski", "hasGender", "male" ], [ "Ryszard_Syski", "livesIn", "Poland" ], [ "Samuel_Karlin", "hasGender", "male" ], [ "Samuel_Karlin", "isCitizenOf", "Poland" ], [ "Skaryszew", "isLocatedIn", "Poland" ], [ "Stanislaw_Ulam", "hasGender", "male" ], [ "Stanislaw_Ulam", "isCitizenOf", "Poland" ], [ "Stanisław_Lem", "hasGender", "male" ], [ "Stanisław_Lem", "isCitizenOf", "Poland" ], [ "Stanisław_Mackiewicz", "hasGender", "male" ], [ "Stanisław_Mackiewicz", "isPoliticianOf", "Poland" ], [ "Stanisław_Ostrowski", "hasGender", "male" ], [ "Stanisław_Ostrowski", "isCitizenOf", "Poland" ], [ "Stanisław_Ostrowski", "isPoliticianOf", "Poland" ], [ "Stanisław_Wojciechowski", "hasGender", "male" ], [ "Stanisław_Wojciechowski", "isPoliticianOf", "Poland" ], [ "Stefan_Mazurkiewicz", "hasGender", "male" ], [ "Stefan_Mazurkiewicz", "isCitizenOf", "Poland" ], [ "Tadeusz_Mazowiecki", "hasGender", "male" ], [ "Tadeusz_Mazowiecki", "isPoliticianOf", "Poland" ], [ "Waldemar_Pawlak", "hasGender", "male" ], [ "Waldemar_Pawlak", "isPoliticianOf", "Poland" ], [ "Witold_Gombrowicz", "hasGender", "male" ], [ "Witold_Gombrowicz", "isCitizenOf", "Poland" ], [ "Wojciech_Jaruzelski", "hasGender", "male" ], [ "Wojciech_Jaruzelski", "isPoliticianOf", "Poland" ], [ "Władysław_Gomułka", "hasGender", "male" ], [ "Władysław_Gomułka", "isCitizenOf", "Poland" ], [ "Władysław_Gomułka", "isPoliticianOf", "Poland" ], [ "Władysław_Sikorski", "hasGender", "male" ], [ "Władysław_Sikorski", "isPoliticianOf", "Poland" ], [ "Włodzimierz_Cimoszewicz", "hasGender", "male" ], [ "Włodzimierz_Cimoszewicz", "isPoliticianOf", "Poland" ], [ "Xawery_Dunikowski", "hasGender", "male" ], [ "Xawery_Dunikowski", "isCitizenOf", "Poland" ], [ "Yaniv_Green", "hasGender", "male" ], [ "Yaniv_Green", "isCitizenOf", "Poland" ], [ "Zbigniew_Herbert", "hasGender", "male" ], [ "Zbigniew_Herbert", "isCitizenOf", "Poland" ], [ "Zbigniew_Messner", "hasGender", "male" ], [ "Zbigniew_Messner", "isPoliticianOf", "Poland" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 77038, Alfred_Jarry 41987, Antonin_Artaud 107788, Arsène_Lupin_(2004_film) 93318, Debbie_Wiseman 28493, Edmond_Rostand 105918, Eugène_Ionesco 64592, France 110584, Friedrich_Nietzsche 23680, Jacques_Derrida 93568, Johann_Wolfgang_von_Goethe 98680, Jože_Javoršek 81396, Lev_Shestov 109442, Marseille 47830, Michel_Foucault 89226, Michel_de_Montaigne 2123, Paris 37453, Stendhal 93918, Tristan_Tzara 122388, William_Shakespeare src, edge_attr, dst 77038, diedIn, 2123 77038, influences, 98680 77038, influences, 93918 41987, diedIn, 2123 41987, influences, 23680 41987, influences, 98680 41987, influences, 47830 41987, wasBornIn, 109442 107788, isLocatedIn, 64592 93318, wroteMusicFor, 107788 28493, diedIn, 2123 28493, influences, 98680 28493, wasBornIn, 109442 105918, diedIn, 2123 105918, influences, 98680 105918, isCitizenOf, 64592 110584, influences, 41987 110584, influences, 23680 110584, influences, 98680 110584, influences, 81396 110584, influences, 47830 93568, influences, 110584 89226, influences, 110584 89226, influences, 122388 37453, influences, 110584 93918, influences, 105918 122388, influences, 110584 122388, influences, 93568 122388, influences, 98680 122388, influences, 81396 122388, influences, 37453 Question: For what reason are Debbie_Wiseman and Jože_Javoršek associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Debbie_Wiseman", "Jože_Javoršek" ], "valid_edges": [ [ "Alfred_Jarry", "diedIn", "Paris" ], [ "Alfred_Jarry", "influences", "Jože_Javoršek" ], [ "Alfred_Jarry", "influences", "Tristan_Tzara" ], [ "Antonin_Artaud", "diedIn", "Paris" ], [ "Antonin_Artaud", "influences", "Jacques_Derrida" ], [ "Antonin_Artaud", "influences", "Jože_Javoršek" ], [ "Antonin_Artaud", "influences", "Michel_Foucault" ], [ "Antonin_Artaud", "wasBornIn", "Marseille" ], [ "Arsène_Lupin_(2004_film)", "isLocatedIn", "France" ], [ "Debbie_Wiseman", "wroteMusicFor", "Arsène_Lupin_(2004_film)" ], [ "Edmond_Rostand", "diedIn", "Paris" ], [ "Edmond_Rostand", "influences", "Jože_Javoršek" ], [ "Edmond_Rostand", "wasBornIn", "Marseille" ], [ "Eugène_Ionesco", "diedIn", "Paris" ], [ "Eugène_Ionesco", "influences", "Jože_Javoršek" ], [ "Eugène_Ionesco", "isCitizenOf", "France" ], [ "Friedrich_Nietzsche", "influences", "Antonin_Artaud" ], [ "Friedrich_Nietzsche", "influences", "Jacques_Derrida" ], [ "Friedrich_Nietzsche", "influences", "Jože_Javoršek" ], [ "Friedrich_Nietzsche", "influences", "Lev_Shestov" ], [ "Friedrich_Nietzsche", "influences", "Michel_Foucault" ], [ "Johann_Wolfgang_von_Goethe", "influences", "Friedrich_Nietzsche" ], [ "Michel_de_Montaigne", "influences", "Friedrich_Nietzsche" ], [ "Michel_de_Montaigne", "influences", "William_Shakespeare" ], [ "Stendhal", "influences", "Friedrich_Nietzsche" ], [ "Tristan_Tzara", "influences", "Eugène_Ionesco" ], [ "William_Shakespeare", "influences", "Friedrich_Nietzsche" ], [ "William_Shakespeare", "influences", "Johann_Wolfgang_von_Goethe" ], [ "William_Shakespeare", "influences", "Jože_Javoršek" ], [ "William_Shakespeare", "influences", "Lev_Shestov" ], [ "William_Shakespeare", "influences", "Stendhal" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 33960, AS_Nancy 44918, João_Pedro_Silva 67167, Krasnodar_Rora 100026, Manuel_da_Costa_(footballer) 26694, Portugal_national_under-20_football_team src, edge_attr, dst 44918, isAffiliatedTo, 26694 44918, playsFor, 26694 67167, isAffiliatedTo, 33960 67167, playsFor, 33960 100026, isAffiliatedTo, 33960 100026, isAffiliatedTo, 26694 100026, playsFor, 33960 100026, playsFor, 26694 Question: How are João_Pedro_Silva and Krasnodar_Rora related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "João_Pedro_Silva", "Krasnodar_Rora" ], "valid_edges": [ [ "João_Pedro_Silva", "isAffiliatedTo", "Portugal_national_under-20_football_team" ], [ "João_Pedro_Silva", "playsFor", "Portugal_national_under-20_football_team" ], [ "Krasnodar_Rora", "isAffiliatedTo", "AS_Nancy" ], [ "Krasnodar_Rora", "playsFor", "AS_Nancy" ], [ "Manuel_da_Costa_(footballer)", "isAffiliatedTo", "AS_Nancy" ], [ "Manuel_da_Costa_(footballer)", "isAffiliatedTo", "Portugal_national_under-20_football_team" ], [ "Manuel_da_Costa_(footballer)", "playsFor", "AS_Nancy" ], [ "Manuel_da_Costa_(footballer)", "playsFor", "Portugal_national_under-20_football_team" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 61710, Angelo_Hauk 122415, Baden-Württemberg 75533, Benjamin_Maas 56953, Crailsheim 82254, Dominik_Mader 13955, Dominik_Werling 58643, Henry_Onwuzuruike 13911, Manuel_Schoppel 96031, Marcin_Suchański 25493, TSV_Crailsheim 73729, Wolfram_Wuttke 118104, male src, edge_attr, dst 61710, hasGender, 118104 61710, isAffiliatedTo, 25493 61710, playsFor, 25493 75533, hasGender, 118104 75533, isAffiliatedTo, 25493 56953, isLocatedIn, 122415 82254, hasGender, 118104 82254, isAffiliatedTo, 25493 82254, playsFor, 25493 13955, hasGender, 118104 13955, isAffiliatedTo, 25493 13955, playsFor, 25493 58643, hasGender, 118104 58643, isAffiliatedTo, 25493 58643, playsFor, 25493 13911, hasGender, 118104 13911, isAffiliatedTo, 25493 13911, playsFor, 25493 96031, hasGender, 118104 25493, isLocatedIn, 122415 25493, isLocatedIn, 56953 73729, hasGender, 118104 73729, isAffiliatedTo, 25493 Question: For what reason are Crailsheim and Marcin_Suchański associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Crailsheim", "Marcin_Suchański" ], "valid_edges": [ [ "Angelo_Hauk", "hasGender", "male" ], [ "Angelo_Hauk", "isAffiliatedTo", "TSV_Crailsheim" ], [ "Angelo_Hauk", "playsFor", "TSV_Crailsheim" ], [ "Benjamin_Maas", "hasGender", "male" ], [ "Benjamin_Maas", "isAffiliatedTo", "TSV_Crailsheim" ], [ "Crailsheim", "isLocatedIn", "Baden-Württemberg" ], [ "Dominik_Mader", "hasGender", "male" ], [ "Dominik_Mader", "isAffiliatedTo", "TSV_Crailsheim" ], [ "Dominik_Mader", "playsFor", "TSV_Crailsheim" ], [ "Dominik_Werling", "hasGender", "male" ], [ "Dominik_Werling", "isAffiliatedTo", "TSV_Crailsheim" ], [ "Dominik_Werling", "playsFor", "TSV_Crailsheim" ], [ "Henry_Onwuzuruike", "hasGender", "male" ], [ "Henry_Onwuzuruike", "isAffiliatedTo", "TSV_Crailsheim" ], [ "Henry_Onwuzuruike", "playsFor", "TSV_Crailsheim" ], [ "Manuel_Schoppel", "hasGender", "male" ], [ "Manuel_Schoppel", "isAffiliatedTo", "TSV_Crailsheim" ], [ "Manuel_Schoppel", "playsFor", "TSV_Crailsheim" ], [ "Marcin_Suchański", "hasGender", "male" ], [ "TSV_Crailsheim", "isLocatedIn", "Baden-Württemberg" ], [ "TSV_Crailsheim", "isLocatedIn", "Crailsheim" ], [ "Wolfram_Wuttke", "hasGender", "male" ], [ "Wolfram_Wuttke", "isAffiliatedTo", "TSV_Crailsheim" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 69139, Alcoià 111679, Bettembourg 68018, Collectivity_of_Saint_Martin 102774, Euro_sign 111744, Europe 9177, European_Space_Agency 88275, Kosovo_War 16243, Luxembourg 56022, Nine_Years'_War 24830, Operation_Atalanta 12668, Operation_Deliberate_Force 24598, Spain 116232, War_in_Afghanistan_(2001–present) 75056, War_on_Terror 99322, wordnet_chemical_114806838 39354, wordnet_foodstuff_107566340 src, edge_attr, dst 69139, isLocatedIn, 24598 111679, isLocatedIn, 16243 68018, hasNeighbor, 16243 68018, hasNeighbor, 24598 16243, exports, 99322 16243, hasCurrency, 102774 16243, hasNeighbor, 68018 16243, imports, 39354 16243, isLocatedIn, 111744 16243, owns, 9177 16243, participatedIn, 88275 16243, participatedIn, 24830 16243, participatedIn, 12668 16243, participatedIn, 116232 16243, participatedIn, 75056 56022, happenedIn, 16243 24598, exports, 99322 24598, exports, 39354 24598, hasCurrency, 102774 24598, hasNeighbor, 68018 24598, imports, 99322 24598, imports, 39354 24598, isLocatedIn, 111744 24598, owns, 9177 24598, participatedIn, 88275 24598, participatedIn, 56022 24598, participatedIn, 24830 24598, participatedIn, 12668 24598, participatedIn, 116232 24598, participatedIn, 75056 Question: For what reason are Alcoià and Bettembourg associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Alcoià", "Bettembourg" ], "valid_edges": [ [ "Alcoià", "isLocatedIn", "Spain" ], [ "Bettembourg", "isLocatedIn", "Luxembourg" ], [ "Collectivity_of_Saint_Martin", "hasNeighbor", "Luxembourg" ], [ "Collectivity_of_Saint_Martin", "hasNeighbor", "Spain" ], [ "Luxembourg", "exports", "wordnet_chemical_114806838" ], [ "Luxembourg", "hasCurrency", "Euro_sign" ], [ "Luxembourg", "hasNeighbor", "Collectivity_of_Saint_Martin" ], [ "Luxembourg", "imports", "wordnet_foodstuff_107566340" ], [ "Luxembourg", "isLocatedIn", "Europe" ], [ "Luxembourg", "owns", "European_Space_Agency" ], [ "Luxembourg", "participatedIn", "Kosovo_War" ], [ "Luxembourg", "participatedIn", "Operation_Atalanta" ], [ "Luxembourg", "participatedIn", "Operation_Deliberate_Force" ], [ "Luxembourg", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Luxembourg", "participatedIn", "War_on_Terror" ], [ "Nine_Years'_War", "happenedIn", "Luxembourg" ], [ "Spain", "exports", "wordnet_chemical_114806838" ], [ "Spain", "exports", "wordnet_foodstuff_107566340" ], [ "Spain", "hasCurrency", "Euro_sign" ], [ "Spain", "hasNeighbor", "Collectivity_of_Saint_Martin" ], [ "Spain", "imports", "wordnet_chemical_114806838" ], [ "Spain", "imports", "wordnet_foodstuff_107566340" ], [ "Spain", "isLocatedIn", "Europe" ], [ "Spain", "owns", "European_Space_Agency" ], [ "Spain", "participatedIn", "Kosovo_War" ], [ "Spain", "participatedIn", "Nine_Years'_War" ], [ "Spain", "participatedIn", "Operation_Atalanta" ], [ "Spain", "participatedIn", "Operation_Deliberate_Force" ], [ "Spain", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Spain", "participatedIn", "War_on_Terror" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 72082, Alan_Curbishley 2769, Alan_Mullery 2626, Alexandre_Frutos 42355, Alexis_Bertin 3779, Barry_Bridges 54183, Ben_Garfield 60073, Blackburn_Rovers_F.C. 79827, Blackpool_F.C. 99197, Bobby_Smith_(footballer_born_1933) 99771, Bobby_Zamora 90056, Brighton_&_Hove_Albion_F.C. 113868, Brighton_&_Hove_Albion_F.C. 82502, Charlton_Athletic_F.C. 25934, Chelsea_F.C. 104314, Dean_Hammond 94664, Don_Welsh 93922, England_national_football_team 59592, Eric_Young_(footballer) 29036, Frank_Buckley_(footballer) 27761, Frank_Worthington 32314, Fred_Pickering 76656, Guy_Butters 95388, Herbert_Jones_(footballer) 25193, Jim_Langley 62845, Jimmy_Melia 93200, Joe_Corrigan 114002, John_Gregory_(footballer) 45554, Lee_Hendrie 76280, Liverpool_F.C. 44475, Manchester 74970, Mark_Barham 29764, Mark_Chamberlain 67130, Martin_Keown 23339, Mike_Bailey_(footballer) 64491, Nick_Ward_(Australian_footballer) 100234, Oliver_Makor 60629, Russell_Osman 123058, Steve_Coppell 79133, Steve_Foster 17695, Tomasz_Kuszczak 116636, Tottenham_Hotspur_F.C. 63592, Vasili_IV_of_Russia 116494, Wayne_Bridge 13030, Wycombe_Wanderers_F.C. 42967, Władysław_IV_Vasa 118104, male src, edge_attr, dst 72082, hasGender, 118104 72082, isAffiliatedTo, 113868 72082, isAffiliatedTo, 82502 72082, playsFor, 113868 72082, playsFor, 82502 2769, hasGender, 118104 2769, isAffiliatedTo, 113868 2769, isAffiliatedTo, 82502 2769, isAffiliatedTo, 93922 2769, isAffiliatedTo, 116636 2769, playsFor, 93922 2769, playsFor, 116636 2626, hasGender, 118104 2626, isAffiliatedTo, 113868 2626, playsFor, 113868 42355, hasGender, 118104 42355, isAffiliatedTo, 113868 42355, playsFor, 113868 3779, hasGender, 118104 3779, isAffiliatedTo, 90056 3779, isAffiliatedTo, 113868 3779, isAffiliatedTo, 25934 3779, isAffiliatedTo, 93922 3779, playsFor, 90056 3779, playsFor, 25934 54183, hasGender, 118104 54183, isAffiliatedTo, 90056 54183, isAffiliatedTo, 113868 54183, isAffiliatedTo, 93922 54183, playsFor, 90056 54183, playsFor, 93922 99197, hasGender, 118104 99197, isAffiliatedTo, 90056 99197, isAffiliatedTo, 113868 99197, isAffiliatedTo, 25934 99197, isAffiliatedTo, 93922 99197, isAffiliatedTo, 116636 99197, playsFor, 90056 99197, playsFor, 25934 99197, playsFor, 93922 99197, playsFor, 116636 99771, hasGender, 118104 99771, isAffiliatedTo, 90056 99771, isAffiliatedTo, 113868 99771, isAffiliatedTo, 93922 99771, isAffiliatedTo, 116636 99771, playsFor, 90056 99771, playsFor, 93922 99771, playsFor, 116636 104314, hasGender, 118104 104314, isAffiliatedTo, 90056 104314, isAffiliatedTo, 113868 104314, playsFor, 90056 104314, playsFor, 113868 94664, hasGender, 118104 94664, isAffiliatedTo, 113868 94664, isAffiliatedTo, 82502 94664, isAffiliatedTo, 93922 94664, isAffiliatedTo, 76280 94664, isAffiliatedTo, 13030 94664, playsFor, 82502 94664, playsFor, 93922 94664, wasBornIn, 44475 59592, hasGender, 118104 59592, isAffiliatedTo, 113868 59592, playsFor, 113868 29036, hasGender, 118104 29036, isAffiliatedTo, 79827 29036, isAffiliatedTo, 90056 29036, isAffiliatedTo, 113868 29036, isAffiliatedTo, 93922 29036, playsFor, 90056 29036, playsFor, 93922 27761, hasGender, 118104 27761, isAffiliatedTo, 90056 27761, isAffiliatedTo, 113868 27761, isAffiliatedTo, 93922 27761, playsFor, 90056 27761, playsFor, 93922 32314, hasGender, 118104 32314, isAffiliatedTo, 60073 32314, isAffiliatedTo, 79827 32314, isAffiliatedTo, 90056 32314, isAffiliatedTo, 113868 32314, isAffiliatedTo, 93922 32314, playsFor, 60073 32314, playsFor, 79827 32314, playsFor, 90056 32314, playsFor, 93922 76656, hasGender, 118104 76656, isAffiliatedTo, 113868 76656, isAffiliatedTo, 116636 76656, playsFor, 113868 76656, playsFor, 116636 95388, hasGender, 118104 95388, isAffiliatedTo, 60073 95388, isAffiliatedTo, 79827 95388, isAffiliatedTo, 90056 95388, isAffiliatedTo, 113868 95388, isAffiliatedTo, 93922 95388, playsFor, 60073 95388, playsFor, 79827 95388, playsFor, 90056 25193, hasGender, 118104 25193, isAffiliatedTo, 113868 25193, isAffiliatedTo, 93922 62845, hasGender, 118104 62845, isAffiliatedTo, 113868 62845, isAffiliatedTo, 93922 62845, isAffiliatedTo, 76280 62845, playsFor, 76280 93200, hasGender, 118104 93200, isAffiliatedTo, 90056 93200, isAffiliatedTo, 113868 93200, isAffiliatedTo, 93922 93200, playsFor, 90056 93200, playsFor, 93922 93200, wasBornIn, 44475 114002, hasGender, 118104 114002, isAffiliatedTo, 90056 114002, isAffiliatedTo, 113868 114002, isAffiliatedTo, 93922 114002, isAffiliatedTo, 13030 114002, playsFor, 90056 114002, playsFor, 93922 45554, hasGender, 118104 45554, isAffiliatedTo, 79827 45554, isAffiliatedTo, 90056 45554, isAffiliatedTo, 113868 45554, isAffiliatedTo, 93922 45554, playsFor, 79827 45554, playsFor, 90056 45554, playsFor, 93922 74970, hasGender, 118104 74970, isAffiliatedTo, 90056 74970, isAffiliatedTo, 113868 74970, isAffiliatedTo, 93922 74970, playsFor, 90056 74970, playsFor, 93922 29764, hasGender, 118104 29764, isAffiliatedTo, 90056 29764, isAffiliatedTo, 113868 29764, isAffiliatedTo, 93922 29764, playsFor, 90056 29764, playsFor, 93922 67130, hasGender, 118104 67130, isAffiliatedTo, 90056 67130, isAffiliatedTo, 113868 67130, isAffiliatedTo, 93922 67130, playsFor, 90056 67130, playsFor, 93922 23339, hasGender, 118104 23339, isAffiliatedTo, 113868 23339, isAffiliatedTo, 82502 23339, isAffiliatedTo, 93922 23339, playsFor, 82502 23339, playsFor, 93922 64491, hasGender, 118104 64491, isAffiliatedTo, 113868 64491, playsFor, 113868 100234, hasGender, 118104 60629, hasGender, 118104 60629, isAffiliatedTo, 90056 60629, isAffiliatedTo, 113868 60629, isAffiliatedTo, 93922 60629, playsFor, 90056 60629, playsFor, 93922 123058, hasGender, 118104 123058, isAffiliatedTo, 113868 123058, isAffiliatedTo, 93922 123058, playsFor, 93922 79133, hasGender, 118104 79133, isAffiliatedTo, 90056 79133, isAffiliatedTo, 113868 79133, isAffiliatedTo, 93922 79133, playsFor, 90056 79133, playsFor, 93922 17695, hasGender, 118104 17695, isAffiliatedTo, 90056 17695, isAffiliatedTo, 113868 17695, playsFor, 90056 63592, hasChild, 42967 63592, hasGender, 118104 63592, playsFor, 113868 116494, hasGender, 118104 116494, isAffiliatedTo, 90056 116494, isAffiliatedTo, 113868 116494, isAffiliatedTo, 25934 116494, isAffiliatedTo, 93922 116494, playsFor, 90056 116494, playsFor, 25934 116494, playsFor, 93922 42967, hasGender, 118104 Question: In what context are Brighton_&_Hove_Albion_F.C. and Oliver_Makor connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Brighton_&_Hove_Albion_F.C.", "Oliver_Makor" ], "valid_edges": [ [ "Alan_Curbishley", "hasGender", "male" ], [ "Alan_Curbishley", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Alan_Curbishley", "isAffiliatedTo", "Charlton_Athletic_F.C." ], [ "Alan_Curbishley", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Alan_Curbishley", "playsFor", "Charlton_Athletic_F.C." ], [ "Alan_Mullery", "hasGender", "male" ], [ "Alan_Mullery", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Alan_Mullery", "isAffiliatedTo", "Charlton_Athletic_F.C." ], [ "Alan_Mullery", "isAffiliatedTo", "England_national_football_team" ], [ "Alan_Mullery", "isAffiliatedTo", "Tottenham_Hotspur_F.C." ], [ "Alan_Mullery", "playsFor", "England_national_football_team" ], [ "Alan_Mullery", "playsFor", "Tottenham_Hotspur_F.C." ], [ "Alexandre_Frutos", "hasGender", "male" ], [ "Alexandre_Frutos", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Alexandre_Frutos", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Alexis_Bertin", "hasGender", "male" ], [ "Alexis_Bertin", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Alexis_Bertin", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Barry_Bridges", "hasGender", "male" ], [ "Barry_Bridges", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Barry_Bridges", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Barry_Bridges", "isAffiliatedTo", "Chelsea_F.C." ], [ "Barry_Bridges", "isAffiliatedTo", "England_national_football_team" ], [ "Barry_Bridges", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Barry_Bridges", "playsFor", "Chelsea_F.C." ], [ "Ben_Garfield", "hasGender", "male" ], [ "Ben_Garfield", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Ben_Garfield", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Ben_Garfield", "isAffiliatedTo", "England_national_football_team" ], [ "Ben_Garfield", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Ben_Garfield", "playsFor", "England_national_football_team" ], [ "Bobby_Smith_(footballer_born_1933)", "hasGender", "male" ], [ "Bobby_Smith_(footballer_born_1933)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Bobby_Smith_(footballer_born_1933)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Bobby_Smith_(footballer_born_1933)", "isAffiliatedTo", "Chelsea_F.C." ], [ "Bobby_Smith_(footballer_born_1933)", "isAffiliatedTo", "England_national_football_team" ], [ "Bobby_Smith_(footballer_born_1933)", "isAffiliatedTo", "Tottenham_Hotspur_F.C." ], [ "Bobby_Smith_(footballer_born_1933)", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Bobby_Smith_(footballer_born_1933)", "playsFor", "Chelsea_F.C." ], [ "Bobby_Smith_(footballer_born_1933)", "playsFor", "England_national_football_team" ], [ "Bobby_Smith_(footballer_born_1933)", "playsFor", "Tottenham_Hotspur_F.C." ], [ "Bobby_Zamora", "hasGender", "male" ], [ "Bobby_Zamora", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Bobby_Zamora", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Bobby_Zamora", "isAffiliatedTo", "England_national_football_team" ], [ "Bobby_Zamora", "isAffiliatedTo", "Tottenham_Hotspur_F.C." ], [ "Bobby_Zamora", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Bobby_Zamora", "playsFor", "England_national_football_team" ], [ "Bobby_Zamora", "playsFor", "Tottenham_Hotspur_F.C." ], [ "Dean_Hammond", "hasGender", "male" ], [ "Dean_Hammond", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Dean_Hammond", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Dean_Hammond", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Dean_Hammond", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Don_Welsh", "hasGender", "male" ], [ "Don_Welsh", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Don_Welsh", "isAffiliatedTo", "Charlton_Athletic_F.C." ], [ "Don_Welsh", "isAffiliatedTo", "England_national_football_team" ], [ "Don_Welsh", "isAffiliatedTo", "Liverpool_F.C." ], [ "Don_Welsh", "isAffiliatedTo", "Wycombe_Wanderers_F.C." ], [ "Don_Welsh", "playsFor", "Charlton_Athletic_F.C." ], [ "Don_Welsh", "playsFor", "England_national_football_team" ], [ "Don_Welsh", "wasBornIn", "Manchester" ], [ "Eric_Young_(footballer)", "hasGender", "male" ], [ "Eric_Young_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Eric_Young_(footballer)", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Frank_Buckley_(footballer)", "hasGender", "male" ], [ "Frank_Buckley_(footballer)", "isAffiliatedTo", "Blackpool_F.C." ], [ "Frank_Buckley_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Frank_Buckley_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Frank_Buckley_(footballer)", "isAffiliatedTo", "England_national_football_team" ], [ "Frank_Buckley_(footballer)", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Frank_Buckley_(footballer)", "playsFor", "England_national_football_team" ], [ "Frank_Worthington", "hasGender", "male" ], [ "Frank_Worthington", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Frank_Worthington", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Frank_Worthington", "isAffiliatedTo", "England_national_football_team" ], [ "Frank_Worthington", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Frank_Worthington", "playsFor", "England_national_football_team" ], [ "Fred_Pickering", "hasGender", "male" ], [ "Fred_Pickering", "isAffiliatedTo", "Blackburn_Rovers_F.C." ], [ "Fred_Pickering", "isAffiliatedTo", "Blackpool_F.C." ], [ "Fred_Pickering", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Fred_Pickering", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Fred_Pickering", "isAffiliatedTo", "England_national_football_team" ], [ "Fred_Pickering", "playsFor", "Blackburn_Rovers_F.C." ], [ "Fred_Pickering", "playsFor", "Blackpool_F.C." ], [ "Fred_Pickering", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Fred_Pickering", "playsFor", "England_national_football_team" ], [ "Guy_Butters", "hasGender", "male" ], [ "Guy_Butters", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Guy_Butters", "isAffiliatedTo", "Tottenham_Hotspur_F.C." ], [ "Guy_Butters", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Guy_Butters", "playsFor", "Tottenham_Hotspur_F.C." ], [ "Herbert_Jones_(footballer)", "hasGender", "male" ], [ "Herbert_Jones_(footballer)", "isAffiliatedTo", "Blackburn_Rovers_F.C." ], [ "Herbert_Jones_(footballer)", "isAffiliatedTo", "Blackpool_F.C." ], [ "Herbert_Jones_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Herbert_Jones_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Herbert_Jones_(footballer)", "isAffiliatedTo", "England_national_football_team" ], [ "Herbert_Jones_(footballer)", "playsFor", "Blackburn_Rovers_F.C." ], [ "Herbert_Jones_(footballer)", "playsFor", "Blackpool_F.C." ], [ "Herbert_Jones_(footballer)", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Jim_Langley", "hasGender", "male" ], [ "Jim_Langley", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Jim_Langley", "isAffiliatedTo", "England_national_football_team" ], [ "Jimmy_Melia", "hasGender", "male" ], [ "Jimmy_Melia", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Jimmy_Melia", "isAffiliatedTo", "England_national_football_team" ], [ "Jimmy_Melia", "isAffiliatedTo", "Liverpool_F.C." ], [ "Jimmy_Melia", "playsFor", "Liverpool_F.C." ], [ "Joe_Corrigan", "hasGender", "male" ], [ "Joe_Corrigan", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Joe_Corrigan", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Joe_Corrigan", "isAffiliatedTo", "England_national_football_team" ], [ "Joe_Corrigan", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Joe_Corrigan", "playsFor", "England_national_football_team" ], [ "Joe_Corrigan", "wasBornIn", "Manchester" ], [ "John_Gregory_(footballer)", "hasGender", "male" ], [ "John_Gregory_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "John_Gregory_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "John_Gregory_(footballer)", "isAffiliatedTo", "England_national_football_team" ], [ "John_Gregory_(footballer)", "isAffiliatedTo", "Wycombe_Wanderers_F.C." ], [ "John_Gregory_(footballer)", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "John_Gregory_(footballer)", "playsFor", "England_national_football_team" ], [ "Lee_Hendrie", "hasGender", "male" ], [ "Lee_Hendrie", "isAffiliatedTo", "Blackpool_F.C." ], [ "Lee_Hendrie", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Lee_Hendrie", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Lee_Hendrie", "isAffiliatedTo", "England_national_football_team" ], [ "Lee_Hendrie", "playsFor", "Blackpool_F.C." ], [ "Lee_Hendrie", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Lee_Hendrie", "playsFor", "England_national_football_team" ], [ "Mark_Barham", "hasGender", "male" ], [ "Mark_Barham", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Mark_Barham", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Mark_Barham", "isAffiliatedTo", "England_national_football_team" ], [ "Mark_Barham", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Mark_Barham", "playsFor", "England_national_football_team" ], [ "Mark_Chamberlain", "hasGender", "male" ], [ "Mark_Chamberlain", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Mark_Chamberlain", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Mark_Chamberlain", "isAffiliatedTo", "England_national_football_team" ], [ "Mark_Chamberlain", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Mark_Chamberlain", "playsFor", "England_national_football_team" ], [ "Martin_Keown", "hasGender", "male" ], [ "Martin_Keown", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Martin_Keown", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Martin_Keown", "isAffiliatedTo", "England_national_football_team" ], [ "Martin_Keown", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Martin_Keown", "playsFor", "England_national_football_team" ], [ "Mike_Bailey_(footballer)", "hasGender", "male" ], [ "Mike_Bailey_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Mike_Bailey_(footballer)", "isAffiliatedTo", "Charlton_Athletic_F.C." ], [ "Mike_Bailey_(footballer)", "isAffiliatedTo", "England_national_football_team" ], [ "Mike_Bailey_(footballer)", "playsFor", "Charlton_Athletic_F.C." ], [ "Mike_Bailey_(footballer)", "playsFor", "England_national_football_team" ], [ "Nick_Ward_(Australian_footballer)", "hasGender", "male" ], [ "Nick_Ward_(Australian_footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Nick_Ward_(Australian_footballer)", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Oliver_Makor", "hasGender", "male" ], [ "Russell_Osman", "hasGender", "male" ], [ "Russell_Osman", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Russell_Osman", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Russell_Osman", "isAffiliatedTo", "England_national_football_team" ], [ "Russell_Osman", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Russell_Osman", "playsFor", "England_national_football_team" ], [ "Steve_Coppell", "hasGender", "male" ], [ "Steve_Coppell", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Steve_Coppell", "isAffiliatedTo", "England_national_football_team" ], [ "Steve_Coppell", "playsFor", "England_national_football_team" ], [ "Steve_Foster", "hasGender", "male" ], [ "Steve_Foster", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Steve_Foster", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Steve_Foster", "isAffiliatedTo", "England_national_football_team" ], [ "Steve_Foster", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Steve_Foster", "playsFor", "England_national_football_team" ], [ "Tomasz_Kuszczak", "hasGender", "male" ], [ "Tomasz_Kuszczak", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Tomasz_Kuszczak", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Tomasz_Kuszczak", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Vasili_IV_of_Russia", "hasChild", "Władysław_IV_Vasa" ], [ "Vasili_IV_of_Russia", "hasGender", "male" ], [ "Vasili_IV_of_Russia", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Wayne_Bridge", "hasGender", "male" ], [ "Wayne_Bridge", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Wayne_Bridge", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Wayne_Bridge", "isAffiliatedTo", "Chelsea_F.C." ], [ "Wayne_Bridge", "isAffiliatedTo", "England_national_football_team" ], [ "Wayne_Bridge", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Wayne_Bridge", "playsFor", "Chelsea_F.C." ], [ "Wayne_Bridge", "playsFor", "England_national_football_team" ], [ "Władysław_IV_Vasa", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 59847, Aleksandr_Sevidov 63318, James_Clerk_Maxwell 114768, Moscow 17386, Neftchi_Baku_PFK 80996, Nikita_Simonyan 101923, PFC_CSKA_Moscow 86215, Spartak_Moscow 102346, Vasily_Sokolov 74639, Yuri_Shishkin 118104, male 36595, pl/Krylja_Sowietow_Moskwa_(piłka_nożna) src, edge_attr, dst 59847, diedIn, 114768 59847, hasGender, 118104 59847, isAffiliatedTo, 17386 59847, isAffiliatedTo, 36595 59847, wasBornIn, 114768 63318, hasGender, 118104 80996, hasGender, 118104 80996, isAffiliatedTo, 86215 80996, isAffiliatedTo, 36595 102346, diedIn, 114768 102346, hasGender, 118104 102346, isAffiliatedTo, 17386 102346, isAffiliatedTo, 101923 102346, isAffiliatedTo, 86215 102346, isAffiliatedTo, 36595 74639, hasGender, 118104 74639, isAffiliatedTo, 101923 74639, isAffiliatedTo, 36595 74639, playsFor, 101923 Question: In what context are James_Clerk_Maxwell and pl/Krylja_Sowietow_Moskwa_(piłka_nożna) connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "James_Clerk_Maxwell", "pl/Krylja_Sowietow_Moskwa_(piłka_nożna)" ], "valid_edges": [ [ "Aleksandr_Sevidov", "diedIn", "Moscow" ], [ "Aleksandr_Sevidov", "hasGender", "male" ], [ "Aleksandr_Sevidov", "isAffiliatedTo", "Neftchi_Baku_PFK" ], [ "Aleksandr_Sevidov", "isAffiliatedTo", "pl/Krylja_Sowietow_Moskwa_(piłka_nożna)" ], [ "Aleksandr_Sevidov", "wasBornIn", "Moscow" ], [ "James_Clerk_Maxwell", "hasGender", "male" ], [ "Nikita_Simonyan", "hasGender", "male" ], [ "Nikita_Simonyan", "isAffiliatedTo", "Spartak_Moscow" ], [ "Nikita_Simonyan", "isAffiliatedTo", "pl/Krylja_Sowietow_Moskwa_(piłka_nożna)" ], [ "Vasily_Sokolov", "diedIn", "Moscow" ], [ "Vasily_Sokolov", "hasGender", "male" ], [ "Vasily_Sokolov", "isAffiliatedTo", "Neftchi_Baku_PFK" ], [ "Vasily_Sokolov", "isAffiliatedTo", "PFC_CSKA_Moscow" ], [ "Vasily_Sokolov", "isAffiliatedTo", "Spartak_Moscow" ], [ "Vasily_Sokolov", "isAffiliatedTo", "pl/Krylja_Sowietow_Moskwa_(piłka_nożna)" ], [ "Yuri_Shishkin", "hasGender", "male" ], [ "Yuri_Shishkin", "isAffiliatedTo", "PFC_CSKA_Moscow" ], [ "Yuri_Shishkin", "isAffiliatedTo", "pl/Krylja_Sowietow_Moskwa_(piłka_nożna)" ], [ "Yuri_Shishkin", "playsFor", "PFC_CSKA_Moscow" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 15410, Adolf_Hurwitz 110752, Arnold_Sommerfeld 3807, Austria-Hungary 54922, Battle_of_Leipzig 81857, Battle_of_Lützen_(1632) 20059, Berlin 105417, Carl-Gustaf_Rossby 50074, Chemnitz 25592, Dresden 4754, Edward_Teller 51409, Emil_Artin 62678, Emil_Warburg 45171, Enrico_Fermi_Award 96732, Felix_Klein 85553, Friedrich_Hund 61995, Germany 83750, Hamburg 104390, Herbert_Kroemer 37269, Humboldt_University_of_Berlin 100673, James_McKeen_Cattell 19733, Joachim_Wach 83894, Julius_Edgar_Lilienfeld 60586, Karlsruhe_Institute_of_Technology 21829, Leipzig_University 17038, Ludwig_Boltzmann 87446, Ludwig_Maximilian_University_of_Munich 107195, Max_Planck 42610, Max_Planck_Medal 51555, Michigan 100997, Munich 80329, Rudolf_Peierls 120208, Saginaw,_Michigan 51646, Saginaw_County,_Michigan 93701, Saginaw_Spirit 90727, Saxony 6827, Sweden 69478, Switzerland 67586, Ugo_Fano 100654, United_Kingdom 29157, United_States 105307, University_of_Cambridge 98159, University_of_Chicago 95526, University_of_Göttingen 57402, University_of_Hamburg 62538, University_of_Vienna 82691, Vienna 243, War_of_the_Fourth_Coalition 63265, Werner_Heisenberg src, edge_attr, dst 15410, graduatedFrom, 21829 15410, hasAcademicAdvisor, 96732 15410, isCitizenOf, 61995 15410, isCitizenOf, 69478 15410, livesIn, 61995 15410, livesIn, 69478 54922, happenedIn, 61995 54922, happenedIn, 90727 54922, isLocatedIn, 90727 81857, happenedIn, 61995 81857, happenedIn, 90727 20059, isLocatedIn, 61995 105417, graduatedFrom, 21829 105417, isCitizenOf, 6827 105417, worksAt, 98159 50074, isLocatedIn, 61995 50074, isLocatedIn, 90727 25592, isLocatedIn, 61995 25592, isLocatedIn, 90727 4754, graduatedFrom, 60586 4754, graduatedFrom, 21829 4754, hasAcademicAdvisor, 85553 4754, hasAcademicAdvisor, 63265 4754, hasWonPrize, 45171 4754, livesIn, 29157 51409, diedIn, 83750 51409, graduatedFrom, 21829 51409, graduatedFrom, 62538 51409, wasBornIn, 82691 51409, worksAt, 57402 62678, isCitizenOf, 61995 62678, livesIn, 61995 96732, isCitizenOf, 61995 85553, hasWonPrize, 42610 85553, influences, 104390 85553, isCitizenOf, 61995 85553, worksAt, 21829 61995, dealsWith, 69478 61995, dealsWith, 100654 61995, dealsWith, 29157 61995, hasCapital, 20059 61995, hasCapital, 25592 61995, hasCapital, 83750 61995, hasCapital, 100997 61995, hasNeighbor, 69478 83750, isLocatedIn, 61995 104390, isCitizenOf, 61995 37269, isLocatedIn, 61995 100673, graduatedFrom, 21829 100673, graduatedFrom, 95526 100673, isCitizenOf, 29157 100673, worksAt, 105307 19733, isCitizenOf, 29157 19733, wasBornIn, 50074 19733, worksAt, 21829 83894, graduatedFrom, 37269 83894, hasAcademicAdvisor, 62678 83894, hasAcademicAdvisor, 107195 83894, isCitizenOf, 3807 83894, isCitizenOf, 29157 83894, livesIn, 29157 83894, worksAt, 21829 60586, isLocatedIn, 61995 21829, isLocatedIn, 61995 21829, isLocatedIn, 90727 17038, graduatedFrom, 62538 17038, isCitizenOf, 3807 17038, wasBornIn, 82691 17038, worksAt, 21829 17038, worksAt, 87446 17038, worksAt, 62538 87446, isLocatedIn, 61995 107195, isCitizenOf, 61995 51555, isLocatedIn, 29157 100997, isLocatedIn, 61995 80329, graduatedFrom, 37269 80329, graduatedFrom, 21829 80329, graduatedFrom, 87446 80329, graduatedFrom, 105307 80329, hasAcademicAdvisor, 110752 80329, hasAcademicAdvisor, 63265 80329, hasWonPrize, 45171 80329, hasWonPrize, 42610 80329, livesIn, 100654 80329, wasBornIn, 20059 120208, isLocatedIn, 51555 120208, isLocatedIn, 51646 120208, isLocatedIn, 29157 51646, isLocatedIn, 51555 93701, isLocatedIn, 51555 93701, isLocatedIn, 120208 90727, hasCapital, 25592 90727, isLocatedIn, 25592 90727, isLocatedIn, 61995 6827, dealsWith, 61995 69478, dealsWith, 61995 69478, hasNeighbor, 61995 67586, hasWonPrize, 45171 67586, isCitizenOf, 29157 67586, worksAt, 21829 67586, worksAt, 98159 100654, dealsWith, 61995 29157, dealsWith, 61995 95526, isLocatedIn, 61995 57402, isLocatedIn, 61995 243, happenedIn, 61995 243, happenedIn, 90727 63265, diedIn, 100997 63265, graduatedFrom, 87446 63265, hasAcademicAdvisor, 110752 63265, hasWonPrize, 42610 63265, isCitizenOf, 61995 63265, worksAt, 37269 63265, worksAt, 21829 63265, worksAt, 87446 63265, worksAt, 95526 Question: For what reason are Leipzig_University and Saginaw_Spirit associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Leipzig_University", "Saginaw_Spirit" ], "valid_edges": [ [ "Adolf_Hurwitz", "graduatedFrom", "Leipzig_University" ], [ "Adolf_Hurwitz", "hasAcademicAdvisor", "Felix_Klein" ], [ "Adolf_Hurwitz", "isCitizenOf", "Germany" ], [ "Adolf_Hurwitz", "isCitizenOf", "Switzerland" ], [ "Adolf_Hurwitz", "livesIn", "Germany" ], [ "Adolf_Hurwitz", "livesIn", "Switzerland" ], [ "Battle_of_Leipzig", "happenedIn", "Germany" ], [ "Battle_of_Leipzig", "happenedIn", "Saxony" ], [ "Battle_of_Leipzig", "isLocatedIn", "Saxony" ], [ "Battle_of_Lützen_(1632)", "happenedIn", "Germany" ], [ "Battle_of_Lützen_(1632)", "happenedIn", "Saxony" ], [ "Berlin", "isLocatedIn", "Germany" ], [ "Carl-Gustaf_Rossby", "graduatedFrom", "Leipzig_University" ], [ "Carl-Gustaf_Rossby", "isCitizenOf", "Sweden" ], [ "Carl-Gustaf_Rossby", "worksAt", "University_of_Chicago" ], [ "Chemnitz", "isLocatedIn", "Germany" ], [ "Chemnitz", "isLocatedIn", "Saxony" ], [ "Dresden", "isLocatedIn", "Germany" ], [ "Dresden", "isLocatedIn", "Saxony" ], [ "Edward_Teller", "graduatedFrom", "Karlsruhe_Institute_of_Technology" ], [ "Edward_Teller", "graduatedFrom", "Leipzig_University" ], [ "Edward_Teller", "hasAcademicAdvisor", "Friedrich_Hund" ], [ "Edward_Teller", "hasAcademicAdvisor", "Werner_Heisenberg" ], [ "Edward_Teller", "hasWonPrize", "Enrico_Fermi_Award" ], [ "Edward_Teller", "livesIn", "United_States" ], [ "Emil_Artin", "diedIn", "Hamburg" ], [ "Emil_Artin", "graduatedFrom", "Leipzig_University" ], [ "Emil_Artin", "graduatedFrom", "University_of_Vienna" ], [ "Emil_Artin", "wasBornIn", "Vienna" ], [ "Emil_Artin", "worksAt", "University_of_Hamburg" ], [ "Emil_Warburg", "isCitizenOf", "Germany" ], [ "Emil_Warburg", "livesIn", "Germany" ], [ "Felix_Klein", "isCitizenOf", "Germany" ], [ "Friedrich_Hund", "hasWonPrize", "Max_Planck_Medal" ], [ "Friedrich_Hund", "influences", "Herbert_Kroemer" ], [ "Friedrich_Hund", "isCitizenOf", "Germany" ], [ "Friedrich_Hund", "worksAt", "Leipzig_University" ], [ "Germany", "dealsWith", "Switzerland" ], [ "Germany", "dealsWith", "United_Kingdom" ], [ "Germany", "dealsWith", "United_States" ], [ "Germany", "hasCapital", "Berlin" ], [ "Germany", "hasCapital", "Dresden" ], [ "Germany", "hasCapital", "Hamburg" ], [ "Germany", "hasCapital", "Munich" ], [ "Germany", "hasNeighbor", "Switzerland" ], [ "Hamburg", "isLocatedIn", "Germany" ], [ "Herbert_Kroemer", "isCitizenOf", "Germany" ], [ "Humboldt_University_of_Berlin", "isLocatedIn", "Germany" ], [ "James_McKeen_Cattell", "graduatedFrom", "Leipzig_University" ], [ "James_McKeen_Cattell", "graduatedFrom", "University_of_Göttingen" ], [ "James_McKeen_Cattell", "isCitizenOf", "United_States" ], [ "James_McKeen_Cattell", "worksAt", "University_of_Cambridge" ], [ "Joachim_Wach", "isCitizenOf", "United_States" ], [ "Joachim_Wach", "wasBornIn", "Chemnitz" ], [ "Joachim_Wach", "worksAt", "Leipzig_University" ], [ "Julius_Edgar_Lilienfeld", "graduatedFrom", "Humboldt_University_of_Berlin" ], [ "Julius_Edgar_Lilienfeld", "hasAcademicAdvisor", "Emil_Warburg" ], [ "Julius_Edgar_Lilienfeld", "hasAcademicAdvisor", "Max_Planck" ], [ "Julius_Edgar_Lilienfeld", "isCitizenOf", "Austria-Hungary" ], [ "Julius_Edgar_Lilienfeld", "isCitizenOf", "United_States" ], [ "Julius_Edgar_Lilienfeld", "livesIn", "United_States" ], [ "Julius_Edgar_Lilienfeld", "worksAt", "Leipzig_University" ], [ "Karlsruhe_Institute_of_Technology", "isLocatedIn", "Germany" ], [ "Leipzig_University", "isLocatedIn", "Germany" ], [ "Leipzig_University", "isLocatedIn", "Saxony" ], [ "Ludwig_Boltzmann", "graduatedFrom", "University_of_Vienna" ], [ "Ludwig_Boltzmann", "isCitizenOf", "Austria-Hungary" ], [ "Ludwig_Boltzmann", "wasBornIn", "Vienna" ], [ "Ludwig_Boltzmann", "worksAt", "Leipzig_University" ], [ "Ludwig_Boltzmann", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Ludwig_Boltzmann", "worksAt", "University_of_Vienna" ], [ "Ludwig_Maximilian_University_of_Munich", "isLocatedIn", "Germany" ], [ "Max_Planck", "isCitizenOf", "Germany" ], [ "Michigan", "isLocatedIn", "United_States" ], [ "Munich", "isLocatedIn", "Germany" ], [ "Rudolf_Peierls", "graduatedFrom", "Humboldt_University_of_Berlin" ], [ "Rudolf_Peierls", "graduatedFrom", "Leipzig_University" ], [ "Rudolf_Peierls", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Rudolf_Peierls", "graduatedFrom", "University_of_Cambridge" ], [ "Rudolf_Peierls", "hasAcademicAdvisor", "Arnold_Sommerfeld" ], [ "Rudolf_Peierls", "hasAcademicAdvisor", "Werner_Heisenberg" ], [ "Rudolf_Peierls", "hasWonPrize", "Enrico_Fermi_Award" ], [ "Rudolf_Peierls", "hasWonPrize", "Max_Planck_Medal" ], [ "Rudolf_Peierls", "livesIn", "United_Kingdom" ], [ "Rudolf_Peierls", "wasBornIn", "Berlin" ], [ "Saginaw,_Michigan", "isLocatedIn", "Michigan" ], [ "Saginaw,_Michigan", "isLocatedIn", "Saginaw_County,_Michigan" ], [ "Saginaw,_Michigan", "isLocatedIn", "United_States" ], [ "Saginaw_County,_Michigan", "isLocatedIn", "Michigan" ], [ "Saginaw_Spirit", "isLocatedIn", "Michigan" ], [ "Saginaw_Spirit", "isLocatedIn", "Saginaw,_Michigan" ], [ "Saxony", "hasCapital", "Dresden" ], [ "Saxony", "isLocatedIn", "Dresden" ], [ "Saxony", "isLocatedIn", "Germany" ], [ "Sweden", "dealsWith", "Germany" ], [ "Switzerland", "dealsWith", "Germany" ], [ "Switzerland", "hasNeighbor", "Germany" ], [ "Ugo_Fano", "hasWonPrize", "Enrico_Fermi_Award" ], [ "Ugo_Fano", "isCitizenOf", "United_States" ], [ "Ugo_Fano", "worksAt", "Leipzig_University" ], [ "Ugo_Fano", "worksAt", "University_of_Chicago" ], [ "United_Kingdom", "dealsWith", "Germany" ], [ "United_States", "dealsWith", "Germany" ], [ "University_of_Göttingen", "isLocatedIn", "Germany" ], [ "University_of_Hamburg", "isLocatedIn", "Germany" ], [ "War_of_the_Fourth_Coalition", "happenedIn", "Germany" ], [ "War_of_the_Fourth_Coalition", "happenedIn", "Saxony" ], [ "Werner_Heisenberg", "diedIn", "Munich" ], [ "Werner_Heisenberg", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Werner_Heisenberg", "hasAcademicAdvisor", "Arnold_Sommerfeld" ], [ "Werner_Heisenberg", "hasWonPrize", "Max_Planck_Medal" ], [ "Werner_Heisenberg", "isCitizenOf", "Germany" ], [ "Werner_Heisenberg", "worksAt", "Humboldt_University_of_Berlin" ], [ "Werner_Heisenberg", "worksAt", "Leipzig_University" ], [ "Werner_Heisenberg", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Werner_Heisenberg", "worksAt", "University_of_Göttingen" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 62162, Chris_Christie 46695, Daniel_C._Tsui 12186, Delain_Sasa 11089, Dorian_M._Goldfeld 46229, Edmund_Andros 93726, Gerard_J._Foschini 80210, Hal_Foster_(art_critic) 78686, Jon_Corzine 74002, Neil_Sloane 68004, New_Jersey 119481, Salem,_New_Jersey 628, Salem_County,_New_Jersey 29157, United_States 117785, Woodrow_Wilson 118104, male src, edge_attr, dst 62162, hasGender, 118104 62162, isPoliticianOf, 68004 46695, hasGender, 118104 46695, livesIn, 68004 12186, hasGender, 118104 11089, hasGender, 118104 11089, livesIn, 68004 46229, hasGender, 118104 46229, isPoliticianOf, 68004 93726, hasGender, 118104 93726, livesIn, 68004 80210, hasGender, 118104 80210, livesIn, 68004 78686, hasGender, 118104 78686, isPoliticianOf, 68004 74002, hasGender, 118104 74002, livesIn, 68004 68004, isLocatedIn, 29157 119481, isLocatedIn, 68004 119481, isLocatedIn, 628 119481, isLocatedIn, 29157 628, isLocatedIn, 68004 117785, hasGender, 118104 117785, isPoliticianOf, 68004 Question: In what context are Delain_Sasa and Salem_County,_New_Jersey connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Delain_Sasa", "Salem_County,_New_Jersey" ], "valid_edges": [ [ "Chris_Christie", "hasGender", "male" ], [ "Chris_Christie", "isPoliticianOf", "New_Jersey" ], [ "Daniel_C._Tsui", "hasGender", "male" ], [ "Daniel_C._Tsui", "livesIn", "New_Jersey" ], [ "Delain_Sasa", "hasGender", "male" ], [ "Dorian_M._Goldfeld", "hasGender", "male" ], [ "Dorian_M._Goldfeld", "livesIn", "New_Jersey" ], [ "Edmund_Andros", "hasGender", "male" ], [ "Edmund_Andros", "isPoliticianOf", "New_Jersey" ], [ "Gerard_J._Foschini", "hasGender", "male" ], [ "Gerard_J._Foschini", "livesIn", "New_Jersey" ], [ "Hal_Foster_(art_critic)", "hasGender", "male" ], [ "Hal_Foster_(art_critic)", "livesIn", "New_Jersey" ], [ "Jon_Corzine", "hasGender", "male" ], [ "Jon_Corzine", "isPoliticianOf", "New_Jersey" ], [ "Neil_Sloane", "hasGender", "male" ], [ "Neil_Sloane", "livesIn", "New_Jersey" ], [ "New_Jersey", "isLocatedIn", "United_States" ], [ "Salem,_New_Jersey", "isLocatedIn", "New_Jersey" ], [ "Salem,_New_Jersey", "isLocatedIn", "Salem_County,_New_Jersey" ], [ "Salem,_New_Jersey", "isLocatedIn", "United_States" ], [ "Salem_County,_New_Jersey", "isLocatedIn", "New_Jersey" ], [ "Woodrow_Wilson", "hasGender", "male" ], [ "Woodrow_Wilson", "isPoliticianOf", "New_Jersey" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 28566, Alan_Judge_(footballer,_born_1960) 46573, André_Campra 33907, Belfast 119210, Birmingham 40391, Brackley_Town_F.C. 90056, Brighton_&_Hove_Albion_F.C. 118294, Bromsgrove_Rovers_F.C. 51939, Bryan_Hamilton 18760, Cardiff_City_F.C. 82502, Charlton_Athletic_F.C. 25934, Chelsea_F.C. 40465, Crusaders_F.C. 66756, Dean_Bennett 68704, England_national_football_C_team 92393, Evesham_United_F.C. 119878, Exodus_Geohaghon 53437, Forest_Green_Rovers_F.C. 75036, Francis_Harris 99042, Frazer_McHugh 17065, Hednesford_Town_F.C. 98974, Hereford_United_F.C. 42275, Ireland_national_football_team_(1882–1950) 899, James_Nelson_(Scottish_footballer) 89207, Jimmy_McCambridge 102758, John_McClelland_(footballer_born_1955) 113024, John_Trewick 8747, Johnny_Carey 22884, Ken_DeMange 88550, Kettering_Town_F.C. 68359, Kidderminster_Harriers_F.C. 51118, Lincoln_City_F.C. 37032, Linfield_F.C. 27239, Luton_Town_F.C. 85062, Mark_Danks 59647, Mark_Taylor_(footballer_born_1966) 89074, Mathew_Birley 36054, Matthew_Barnes-Homer 11692, Matthew_Gardiner_(footballer) 40665, Michael_Crawford_(footballer) 64359, Michael_Oakes 92629, Mike_Small_(footballer) 3917, Neil_Davis_(footballer) 10462, Notts_County_F.C. 123084, Nuneaton_Town_F.C. 110228, Oxford_United_F.C. 7796, Paddy_Moore 56080, Paul_Millar 43426, Peterborough_United_F.C. 76965, Philip_Mulryne 114315, Redditch_United_F.C. 29264, Rotherham_United_F.C. 7018, Sam_Campagna 54529, Sam_Irving 824, Scott_Cooksey 80341, Shrewsbury_Town_F.C. 109378, Stafford_Rangers_F.C. 64779, Stevenage_F.C. 98215, Swindon_Town_F.C. 111776, Tamworth_F.C. 109533, Tom_Sloan_(footballer_born_1900) 3094, Tom_Watson_(footballer_born_1902) 96874, Tommy_Wright_(footballer,_born_1963) 1626, Tony_Grealish 26436, Tony_Hateley 15599, Tranmere_Rovers_F.C. 71614, Walsall_F.C. 14807, Warren_Feeney 116050, Wayne_Dyer_(footballer) 57218, West_Bromwich_Albion_F.C. 40220, Worcester_City_F.C. 86927, Wrexham_F.C. 13030, Wycombe_Wanderers_F.C. src, edge_attr, dst 28566, isAffiliatedTo, 40391 28566, isAffiliatedTo, 118294 28566, isAffiliatedTo, 18760 28566, isAffiliatedTo, 25934 28566, isAffiliatedTo, 98974 28566, isAffiliatedTo, 88550 28566, isAffiliatedTo, 51118 28566, isAffiliatedTo, 27239 28566, isAffiliatedTo, 110228 28566, isAffiliatedTo, 98215 28566, playsFor, 40391 28566, playsFor, 118294 28566, playsFor, 18760 28566, playsFor, 25934 28566, playsFor, 98974 28566, playsFor, 88550 28566, playsFor, 51118 28566, playsFor, 27239 28566, playsFor, 110228 28566, playsFor, 98215 46573, playsFor, 118294 46573, playsFor, 53437 46573, playsFor, 17065 46573, playsFor, 88550 46573, playsFor, 109378 46573, playsFor, 40220 51939, isAffiliatedTo, 37032 51939, playsFor, 37032 51939, wasBornIn, 33907 40465, isLocatedIn, 33907 66756, isAffiliatedTo, 118294 66756, isAffiliatedTo, 68359 66756, isAffiliatedTo, 57218 66756, isAffiliatedTo, 86927 66756, playsFor, 118294 66756, playsFor, 68359 66756, playsFor, 57218 66756, playsFor, 86927 119878, isAffiliatedTo, 118294 119878, isAffiliatedTo, 68704 119878, isAffiliatedTo, 88550 119878, isAffiliatedTo, 68359 119878, isAffiliatedTo, 43426 119878, isAffiliatedTo, 114315 119878, isAffiliatedTo, 29264 119878, isAffiliatedTo, 80341 119878, isAffiliatedTo, 57218 119878, isAffiliatedTo, 40220 119878, playsFor, 118294 119878, playsFor, 68704 119878, playsFor, 88550 119878, playsFor, 68359 119878, playsFor, 43426 119878, playsFor, 114315 119878, playsFor, 29264 119878, playsFor, 80341 119878, playsFor, 40220 119878, wasBornIn, 119210 75036, isAffiliatedTo, 118294 75036, isAffiliatedTo, 18760 75036, isAffiliatedTo, 82502 75036, playsFor, 118294 75036, playsFor, 18760 75036, playsFor, 82502 99042, isAffiliatedTo, 118294 99042, isAffiliatedTo, 10462 99042, isAffiliatedTo, 114315 99042, isAffiliatedTo, 98215 99042, isAffiliatedTo, 111776 99042, playsFor, 118294 99042, playsFor, 10462 99042, playsFor, 114315 99042, playsFor, 98215 99042, playsFor, 111776 899, isAffiliatedTo, 18760 899, isAffiliatedTo, 40465 899, playsFor, 18760 899, playsFor, 40465 89207, isAffiliatedTo, 18760 89207, isAffiliatedTo, 42275 89207, playsFor, 18760 89207, playsFor, 42275 102758, isAffiliatedTo, 18760 102758, playsFor, 18760 102758, wasBornIn, 33907 113024, isAffiliatedTo, 118294 113024, isAffiliatedTo, 98974 113024, isAffiliatedTo, 110228 113024, isAffiliatedTo, 57218 113024, playsFor, 118294 113024, playsFor, 98974 113024, playsFor, 110228 113024, playsFor, 57218 8747, isAffiliatedTo, 18760 8747, isAffiliatedTo, 42275 8747, playsFor, 18760 8747, playsFor, 42275 22884, isAffiliatedTo, 18760 22884, isAffiliatedTo, 40465 22884, playsFor, 18760 22884, playsFor, 40465 85062, isAffiliatedTo, 118294 85062, isAffiliatedTo, 92393 85062, isAffiliatedTo, 53437 85062, isAffiliatedTo, 17065 85062, isAffiliatedTo, 88550 85062, isAffiliatedTo, 114315 85062, isAffiliatedTo, 109378 85062, isAffiliatedTo, 40220 85062, playsFor, 118294 85062, playsFor, 92393 85062, playsFor, 53437 85062, playsFor, 17065 85062, playsFor, 88550 85062, playsFor, 114315 85062, playsFor, 109378 85062, playsFor, 40220 59647, isAffiliatedTo, 118294 59647, isAffiliatedTo, 98974 59647, isAffiliatedTo, 123084 59647, isAffiliatedTo, 114315 59647, isAffiliatedTo, 80341 59647, isAffiliatedTo, 71614 59647, playsFor, 118294 59647, playsFor, 98974 59647, playsFor, 123084 59647, playsFor, 114315 59647, playsFor, 80341 59647, playsFor, 71614 89074, isAffiliatedTo, 118294 89074, isAffiliatedTo, 51118 89074, isAffiliatedTo, 111776 89074, isAffiliatedTo, 40220 89074, playsFor, 118294 89074, playsFor, 51118 89074, playsFor, 111776 89074, playsFor, 40220 36054, isAffiliatedTo, 118294 36054, isAffiliatedTo, 68704 36054, isAffiliatedTo, 53437 36054, isAffiliatedTo, 17065 36054, isAffiliatedTo, 68359 36054, isAffiliatedTo, 27239 36054, isAffiliatedTo, 123084 36054, isAffiliatedTo, 111776 36054, isAffiliatedTo, 13030 36054, playsFor, 118294 36054, playsFor, 53437 36054, playsFor, 17065 36054, playsFor, 68359 36054, playsFor, 27239 36054, playsFor, 123084 36054, playsFor, 111776 36054, playsFor, 13030 11692, isAffiliatedTo, 118294 11692, isAffiliatedTo, 92393 11692, isAffiliatedTo, 17065 11692, isAffiliatedTo, 98974 11692, isAffiliatedTo, 114315 11692, isAffiliatedTo, 80341 11692, isAffiliatedTo, 40220 11692, playsFor, 118294 11692, playsFor, 92393 11692, playsFor, 17065 11692, playsFor, 98974 11692, playsFor, 114315 11692, playsFor, 80341 11692, playsFor, 40220 11692, wasBornIn, 119210 40665, isAffiliatedTo, 40391 40665, isAffiliatedTo, 118294 40665, isAffiliatedTo, 111776 40665, playsFor, 40391 40665, playsFor, 118294 40665, playsFor, 111776 40665, wasBornIn, 119210 64359, isAffiliatedTo, 118294 64359, isAffiliatedTo, 18760 64359, isAffiliatedTo, 15599 64359, isAffiliatedTo, 86927 64359, playsFor, 118294 64359, playsFor, 18760 64359, playsFor, 15599 92629, isAffiliatedTo, 90056 92629, isAffiliatedTo, 118294 92629, isAffiliatedTo, 82502 92629, isAffiliatedTo, 27239 92629, isAffiliatedTo, 43426 92629, isAffiliatedTo, 64779 92629, playsFor, 90056 92629, playsFor, 118294 92629, playsFor, 82502 92629, playsFor, 27239 92629, playsFor, 43426 92629, playsFor, 64779 92629, wasBornIn, 119210 3917, isAffiliatedTo, 118294 3917, isAffiliatedTo, 17065 3917, isAffiliatedTo, 114315 3917, isAffiliatedTo, 15599 3917, isAffiliatedTo, 71614 3917, isAffiliatedTo, 13030 3917, playsFor, 118294 3917, playsFor, 17065 3917, playsFor, 114315 3917, playsFor, 15599 3917, playsFor, 71614 3917, playsFor, 13030 7796, isAffiliatedTo, 18760 7796, isAffiliatedTo, 42275 7796, playsFor, 18760 56080, isAffiliatedTo, 18760 56080, isAffiliatedTo, 37032 56080, playsFor, 18760 56080, playsFor, 37032 56080, wasBornIn, 33907 76965, isAffiliatedTo, 18760 76965, playsFor, 18760 76965, wasBornIn, 33907 7018, isAffiliatedTo, 118294 7018, isAffiliatedTo, 92393 7018, isAffiliatedTo, 98215 7018, playsFor, 118294 7018, playsFor, 92393 7018, playsFor, 98215 54529, isAffiliatedTo, 18760 54529, isAffiliatedTo, 42275 54529, playsFor, 18760 54529, playsFor, 42275 54529, wasBornIn, 33907 824, isAffiliatedTo, 118294 824, isAffiliatedTo, 68704 824, isAffiliatedTo, 17065 824, isAffiliatedTo, 98974 824, isAffiliatedTo, 43426 824, isAffiliatedTo, 80341 824, playsFor, 118294 824, playsFor, 68704 824, playsFor, 17065 824, playsFor, 98974 824, playsFor, 43426 824, playsFor, 80341 824, wasBornIn, 119210 109533, isAffiliatedTo, 18760 109533, isAffiliatedTo, 40465 109533, isAffiliatedTo, 42275 109533, isAffiliatedTo, 37032 109533, playsFor, 18760 109533, playsFor, 40465 109533, playsFor, 42275 109533, playsFor, 37032 3094, isAffiliatedTo, 18760 3094, isAffiliatedTo, 40465 3094, isAffiliatedTo, 42275 3094, isAffiliatedTo, 37032 3094, playsFor, 18760 3094, playsFor, 40465 3094, playsFor, 42275 3094, playsFor, 37032 3094, wasBornIn, 33907 96874, isAffiliatedTo, 37032 96874, playsFor, 37032 96874, wasBornIn, 33907 1626, isAffiliatedTo, 90056 1626, isAffiliatedTo, 118294 1626, isAffiliatedTo, 27239 1626, isAffiliatedTo, 29264 1626, isAffiliatedTo, 71614 1626, isAffiliatedTo, 57218 1626, playsFor, 90056 1626, playsFor, 118294 1626, playsFor, 27239 1626, playsFor, 29264 1626, playsFor, 71614 1626, playsFor, 57218 26436, isAffiliatedTo, 118294 26436, isAffiliatedTo, 25934 26436, isAffiliatedTo, 10462 26436, playsFor, 118294 26436, playsFor, 25934 26436, playsFor, 10462 14807, isAffiliatedTo, 18760 14807, isAffiliatedTo, 37032 14807, playsFor, 18760 14807, wasBornIn, 33907 116050, isAffiliatedTo, 118294 116050, isAffiliatedTo, 92393 116050, isAffiliatedTo, 17065 116050, isAffiliatedTo, 98974 116050, isAffiliatedTo, 88550 116050, isAffiliatedTo, 123084 116050, isAffiliatedTo, 110228 116050, isAffiliatedTo, 114315 116050, isAffiliatedTo, 64779 116050, isAffiliatedTo, 71614 116050, playsFor, 118294 116050, playsFor, 92393 116050, playsFor, 17065 116050, playsFor, 98974 116050, playsFor, 88550 116050, playsFor, 123084 116050, playsFor, 110228 116050, playsFor, 114315 116050, playsFor, 64779 116050, playsFor, 71614 116050, wasBornIn, 119210 Question: How are Bromsgrove_Rovers_F.C. and Tom_Watson_(footballer_born_1902) related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Bromsgrove_Rovers_F.C.", "Tom_Watson_(footballer_born_1902)" ], "valid_edges": [ [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Brackley_Town_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Chelsea_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Hereford_United_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Oxford_United_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "isAffiliatedTo", "Swindon_Town_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Brackley_Town_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Cardiff_City_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Chelsea_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Hereford_United_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Kettering_Town_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Lincoln_City_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Luton_Town_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Oxford_United_F.C." ], [ "Alan_Judge_(footballer,_born_1960)", "playsFor", "Swindon_Town_F.C." ], [ "André_Campra", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "André_Campra", "playsFor", "Forest_Green_Rovers_F.C." ], [ "André_Campra", "playsFor", "Hednesford_Town_F.C." ], [ "André_Campra", "playsFor", "Kettering_Town_F.C." ], [ "André_Campra", "playsFor", "Stafford_Rangers_F.C." ], [ "André_Campra", "playsFor", "Worcester_City_F.C." ], [ "Bryan_Hamilton", "isAffiliatedTo", "Linfield_F.C." ], [ "Bryan_Hamilton", "playsFor", "Linfield_F.C." ], [ "Bryan_Hamilton", "wasBornIn", "Belfast" ], [ "Crusaders_F.C.", "isLocatedIn", "Belfast" ], [ "Dean_Bennett", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Dean_Bennett", "isAffiliatedTo", "Kidderminster_Harriers_F.C." ], [ "Dean_Bennett", "isAffiliatedTo", "West_Bromwich_Albion_F.C." ], [ "Dean_Bennett", "isAffiliatedTo", "Wrexham_F.C." ], [ "Dean_Bennett", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Dean_Bennett", "playsFor", "Kidderminster_Harriers_F.C." ], [ "Dean_Bennett", "playsFor", "West_Bromwich_Albion_F.C." ], [ "Dean_Bennett", "playsFor", "Wrexham_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "England_national_football_C_team" ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Kidderminster_Harriers_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Peterborough_United_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Redditch_United_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Shrewsbury_Town_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "West_Bromwich_Albion_F.C." ], [ "Exodus_Geohaghon", "isAffiliatedTo", "Worcester_City_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Exodus_Geohaghon", "playsFor", "England_national_football_C_team" ], [ "Exodus_Geohaghon", "playsFor", "Kettering_Town_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Kidderminster_Harriers_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Peterborough_United_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Redditch_United_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Rotherham_United_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Shrewsbury_Town_F.C." ], [ "Exodus_Geohaghon", "playsFor", "Worcester_City_F.C." ], [ "Exodus_Geohaghon", "wasBornIn", "Birmingham" ], [ "Francis_Harris", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Francis_Harris", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Francis_Harris", "isAffiliatedTo", "Charlton_Athletic_F.C." ], [ "Francis_Harris", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Francis_Harris", "playsFor", "Cardiff_City_F.C." ], [ "Francis_Harris", "playsFor", "Charlton_Athletic_F.C." ], [ "Frazer_McHugh", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Frazer_McHugh", "isAffiliatedTo", "Notts_County_F.C." ], [ "Frazer_McHugh", "isAffiliatedTo", "Redditch_United_F.C." ], [ "Frazer_McHugh", "isAffiliatedTo", "Swindon_Town_F.C." ], [ "Frazer_McHugh", "isAffiliatedTo", "Tamworth_F.C." ], [ "Frazer_McHugh", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Frazer_McHugh", "playsFor", "Notts_County_F.C." ], [ "Frazer_McHugh", "playsFor", "Redditch_United_F.C." ], [ "Frazer_McHugh", "playsFor", "Swindon_Town_F.C." ], [ "Frazer_McHugh", "playsFor", "Tamworth_F.C." ], [ "James_Nelson_(Scottish_footballer)", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "James_Nelson_(Scottish_footballer)", "isAffiliatedTo", "Crusaders_F.C." ], [ "James_Nelson_(Scottish_footballer)", "playsFor", "Cardiff_City_F.C." ], [ "James_Nelson_(Scottish_footballer)", "playsFor", "Crusaders_F.C." ], [ "Jimmy_McCambridge", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Jimmy_McCambridge", "isAffiliatedTo", "Ireland_national_football_team_(1882–1950)" ], [ "Jimmy_McCambridge", "playsFor", "Cardiff_City_F.C." ], [ "Jimmy_McCambridge", "playsFor", "Ireland_national_football_team_(1882–1950)" ], [ "John_McClelland_(footballer_born_1955)", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "John_McClelland_(footballer_born_1955)", "playsFor", "Cardiff_City_F.C." ], [ "John_McClelland_(footballer_born_1955)", "wasBornIn", "Belfast" ], [ "John_Trewick", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "John_Trewick", "isAffiliatedTo", "Hereford_United_F.C." ], [ "John_Trewick", "isAffiliatedTo", "Oxford_United_F.C." ], [ "John_Trewick", "isAffiliatedTo", "West_Bromwich_Albion_F.C." ], [ "John_Trewick", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "John_Trewick", "playsFor", "Hereford_United_F.C." ], [ "John_Trewick", "playsFor", "Oxford_United_F.C." ], [ "John_Trewick", "playsFor", "West_Bromwich_Albion_F.C." ], [ "Johnny_Carey", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Johnny_Carey", "isAffiliatedTo", "Ireland_national_football_team_(1882–1950)" ], [ "Johnny_Carey", "playsFor", "Cardiff_City_F.C." ], [ "Johnny_Carey", "playsFor", "Ireland_national_football_team_(1882–1950)" ], [ "Ken_DeMange", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Ken_DeMange", "isAffiliatedTo", "Crusaders_F.C." ], [ "Ken_DeMange", "playsFor", "Cardiff_City_F.C." ], [ "Ken_DeMange", "playsFor", "Crusaders_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Evesham_United_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Forest_Green_Rovers_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Hednesford_Town_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Redditch_United_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Stafford_Rangers_F.C." ], [ "Mark_Danks", "isAffiliatedTo", "Worcester_City_F.C." ], [ "Mark_Danks", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Mark_Danks", "playsFor", "Evesham_United_F.C." ], [ "Mark_Danks", "playsFor", "Forest_Green_Rovers_F.C." ], [ "Mark_Danks", "playsFor", "Hednesford_Town_F.C." ], [ "Mark_Danks", "playsFor", "Kettering_Town_F.C." ], [ "Mark_Danks", "playsFor", "Redditch_United_F.C." ], [ "Mark_Danks", "playsFor", "Stafford_Rangers_F.C." ], [ "Mark_Danks", "playsFor", "Worcester_City_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "isAffiliatedTo", "Hereford_United_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "isAffiliatedTo", "Nuneaton_Town_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "isAffiliatedTo", "Redditch_United_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "isAffiliatedTo", "Shrewsbury_Town_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "isAffiliatedTo", "Walsall_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "playsFor", "Hereford_United_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "playsFor", "Nuneaton_Town_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "playsFor", "Redditch_United_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "playsFor", "Shrewsbury_Town_F.C." ], [ "Mark_Taylor_(footballer_born_1966)", "playsFor", "Walsall_F.C." ], [ "Mathew_Birley", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Mathew_Birley", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Mathew_Birley", "isAffiliatedTo", "Tamworth_F.C." ], [ "Mathew_Birley", "isAffiliatedTo", "Worcester_City_F.C." ], [ "Mathew_Birley", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Mathew_Birley", "playsFor", "Lincoln_City_F.C." ], [ "Mathew_Birley", "playsFor", "Tamworth_F.C." ], [ "Mathew_Birley", "playsFor", "Worcester_City_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "England_national_football_C_team" ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Forest_Green_Rovers_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Hednesford_Town_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Kidderminster_Harriers_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Nuneaton_Town_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Tamworth_F.C." ], [ "Matthew_Barnes-Homer", "isAffiliatedTo", "Wycombe_Wanderers_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Forest_Green_Rovers_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Hednesford_Town_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Kidderminster_Harriers_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Luton_Town_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Nuneaton_Town_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Tamworth_F.C." ], [ "Matthew_Barnes-Homer", "playsFor", "Wycombe_Wanderers_F.C." ], [ "Matthew_Gardiner_(footballer)", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Matthew_Gardiner_(footballer)", "isAffiliatedTo", "Evesham_United_F.C." ], [ "Matthew_Gardiner_(footballer)", "isAffiliatedTo", "Hednesford_Town_F.C." ], [ "Matthew_Gardiner_(footballer)", "isAffiliatedTo", "Hereford_United_F.C." ], [ "Matthew_Gardiner_(footballer)", "isAffiliatedTo", "Redditch_United_F.C." ], [ "Matthew_Gardiner_(footballer)", "isAffiliatedTo", "Shrewsbury_Town_F.C." ], [ "Matthew_Gardiner_(footballer)", "isAffiliatedTo", "Worcester_City_F.C." ], [ "Matthew_Gardiner_(footballer)", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Matthew_Gardiner_(footballer)", "playsFor", "Evesham_United_F.C." ], [ "Matthew_Gardiner_(footballer)", "playsFor", "Hednesford_Town_F.C." ], [ "Matthew_Gardiner_(footballer)", "playsFor", "Hereford_United_F.C." ], [ "Matthew_Gardiner_(footballer)", "playsFor", "Redditch_United_F.C." ], [ "Matthew_Gardiner_(footballer)", "playsFor", "Shrewsbury_Town_F.C." ], [ "Matthew_Gardiner_(footballer)", "playsFor", "Worcester_City_F.C." ], [ "Matthew_Gardiner_(footballer)", "wasBornIn", "Birmingham" ], [ "Michael_Crawford_(footballer)", "isAffiliatedTo", "Brackley_Town_F.C." ], [ "Michael_Crawford_(footballer)", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Michael_Crawford_(footballer)", "isAffiliatedTo", "Tamworth_F.C." ], [ "Michael_Crawford_(footballer)", "playsFor", "Brackley_Town_F.C." ], [ "Michael_Crawford_(footballer)", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Michael_Crawford_(footballer)", "playsFor", "Tamworth_F.C." ], [ "Michael_Crawford_(footballer)", "wasBornIn", "Birmingham" ], [ "Michael_Oakes", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Michael_Oakes", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Michael_Oakes", "isAffiliatedTo", "Tranmere_Rovers_F.C." ], [ "Michael_Oakes", "isAffiliatedTo", "Wrexham_F.C." ], [ "Michael_Oakes", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Michael_Oakes", "playsFor", "Cardiff_City_F.C." ], [ "Michael_Oakes", "playsFor", "Tranmere_Rovers_F.C." ], [ "Mike_Small_(footballer)", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Mike_Small_(footballer)", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Mike_Small_(footballer)", "isAffiliatedTo", "Charlton_Athletic_F.C." ], [ "Mike_Small_(footballer)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Mike_Small_(footballer)", "isAffiliatedTo", "Peterborough_United_F.C." ], [ "Mike_Small_(footballer)", "isAffiliatedTo", "Stevenage_F.C." ], [ "Mike_Small_(footballer)", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Mike_Small_(footballer)", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Mike_Small_(footballer)", "playsFor", "Charlton_Athletic_F.C." ], [ "Mike_Small_(footballer)", "playsFor", "Luton_Town_F.C." ], [ "Mike_Small_(footballer)", "playsFor", "Peterborough_United_F.C." ], [ "Mike_Small_(footballer)", "playsFor", "Stevenage_F.C." ], [ "Mike_Small_(footballer)", "wasBornIn", "Birmingham" ], [ "Neil_Davis_(footballer)", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Neil_Davis_(footballer)", "isAffiliatedTo", "Hednesford_Town_F.C." ], [ "Neil_Davis_(footballer)", "isAffiliatedTo", "Redditch_United_F.C." ], [ "Neil_Davis_(footballer)", "isAffiliatedTo", "Tranmere_Rovers_F.C." ], [ "Neil_Davis_(footballer)", "isAffiliatedTo", "Walsall_F.C." ], [ "Neil_Davis_(footballer)", "isAffiliatedTo", "Wycombe_Wanderers_F.C." ], [ "Neil_Davis_(footballer)", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Neil_Davis_(footballer)", "playsFor", "Hednesford_Town_F.C." ], [ "Neil_Davis_(footballer)", "playsFor", "Redditch_United_F.C." ], [ "Neil_Davis_(footballer)", "playsFor", "Tranmere_Rovers_F.C." ], [ "Neil_Davis_(footballer)", "playsFor", "Walsall_F.C." ], [ "Neil_Davis_(footballer)", "playsFor", "Wycombe_Wanderers_F.C." ], [ "Paddy_Moore", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Paddy_Moore", "isAffiliatedTo", "Ireland_national_football_team_(1882–1950)" ], [ "Paddy_Moore", "playsFor", "Cardiff_City_F.C." ], [ "Paul_Millar", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Paul_Millar", "isAffiliatedTo", "Linfield_F.C." ], [ "Paul_Millar", "playsFor", "Cardiff_City_F.C." ], [ "Paul_Millar", "playsFor", "Linfield_F.C." ], [ "Paul_Millar", "wasBornIn", "Belfast" ], [ "Philip_Mulryne", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Philip_Mulryne", "playsFor", "Cardiff_City_F.C." ], [ "Philip_Mulryne", "wasBornIn", "Belfast" ], [ "Sam_Campagna", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Sam_Campagna", "isAffiliatedTo", "Evesham_United_F.C." ], [ "Sam_Campagna", "isAffiliatedTo", "Swindon_Town_F.C." ], [ "Sam_Campagna", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Sam_Campagna", "playsFor", "Evesham_United_F.C." ], [ "Sam_Campagna", "playsFor", "Swindon_Town_F.C." ], [ "Sam_Irving", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Sam_Irving", "isAffiliatedTo", "Ireland_national_football_team_(1882–1950)" ], [ "Sam_Irving", "playsFor", "Cardiff_City_F.C." ], [ "Sam_Irving", "playsFor", "Ireland_national_football_team_(1882–1950)" ], [ "Sam_Irving", "wasBornIn", "Belfast" ], [ "Scott_Cooksey", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Scott_Cooksey", "isAffiliatedTo", "England_national_football_C_team" ], [ "Scott_Cooksey", "isAffiliatedTo", "Hednesford_Town_F.C." ], [ "Scott_Cooksey", "isAffiliatedTo", "Hereford_United_F.C." ], [ "Scott_Cooksey", "isAffiliatedTo", "Peterborough_United_F.C." ], [ "Scott_Cooksey", "isAffiliatedTo", "Shrewsbury_Town_F.C." ], [ "Scott_Cooksey", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Scott_Cooksey", "playsFor", "England_national_football_C_team" ], [ "Scott_Cooksey", "playsFor", "Hednesford_Town_F.C." ], [ "Scott_Cooksey", "playsFor", "Hereford_United_F.C." ], [ "Scott_Cooksey", "playsFor", "Peterborough_United_F.C." ], [ "Scott_Cooksey", "playsFor", "Shrewsbury_Town_F.C." ], [ "Scott_Cooksey", "wasBornIn", "Birmingham" ], [ "Tom_Sloan_(footballer_born_1900)", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Tom_Sloan_(footballer_born_1900)", "isAffiliatedTo", "Crusaders_F.C." ], [ "Tom_Sloan_(footballer_born_1900)", "isAffiliatedTo", "Ireland_national_football_team_(1882–1950)" ], [ "Tom_Sloan_(footballer_born_1900)", "isAffiliatedTo", "Linfield_F.C." ], [ "Tom_Sloan_(footballer_born_1900)", "playsFor", "Cardiff_City_F.C." ], [ "Tom_Sloan_(footballer_born_1900)", "playsFor", "Crusaders_F.C." ], [ "Tom_Sloan_(footballer_born_1900)", "playsFor", "Ireland_national_football_team_(1882–1950)" ], [ "Tom_Sloan_(footballer_born_1900)", "playsFor", "Linfield_F.C." ], [ "Tom_Watson_(footballer_born_1902)", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Tom_Watson_(footballer_born_1902)", "isAffiliatedTo", "Crusaders_F.C." ], [ "Tom_Watson_(footballer_born_1902)", "isAffiliatedTo", "Ireland_national_football_team_(1882–1950)" ], [ "Tom_Watson_(footballer_born_1902)", "isAffiliatedTo", "Linfield_F.C." ], [ "Tom_Watson_(footballer_born_1902)", "playsFor", "Cardiff_City_F.C." ], [ "Tom_Watson_(footballer_born_1902)", "playsFor", "Crusaders_F.C." ], [ "Tom_Watson_(footballer_born_1902)", "playsFor", "Ireland_national_football_team_(1882–1950)" ], [ "Tom_Watson_(footballer_born_1902)", "playsFor", "Linfield_F.C." ], [ "Tom_Watson_(footballer_born_1902)", "wasBornIn", "Belfast" ], [ "Tommy_Wright_(footballer,_born_1963)", "isAffiliatedTo", "Linfield_F.C." ], [ "Tommy_Wright_(footballer,_born_1963)", "playsFor", "Linfield_F.C." ], [ "Tommy_Wright_(footballer,_born_1963)", "wasBornIn", "Belfast" ], [ "Tony_Grealish", "isAffiliatedTo", "Brighton_&_Hove_Albion_F.C." ], [ "Tony_Grealish", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Tony_Grealish", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Tony_Grealish", "isAffiliatedTo", "Rotherham_United_F.C." ], [ "Tony_Grealish", "isAffiliatedTo", "Walsall_F.C." ], [ "Tony_Grealish", "isAffiliatedTo", "West_Bromwich_Albion_F.C." ], [ "Tony_Grealish", "playsFor", "Brighton_&_Hove_Albion_F.C." ], [ "Tony_Grealish", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Tony_Grealish", "playsFor", "Luton_Town_F.C." ], [ "Tony_Grealish", "playsFor", "Rotherham_United_F.C." ], [ "Tony_Grealish", "playsFor", "Walsall_F.C." ], [ "Tony_Grealish", "playsFor", "West_Bromwich_Albion_F.C." ], [ "Tony_Hateley", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Tony_Hateley", "isAffiliatedTo", "Chelsea_F.C." ], [ "Tony_Hateley", "isAffiliatedTo", "Notts_County_F.C." ], [ "Tony_Hateley", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Tony_Hateley", "playsFor", "Chelsea_F.C." ], [ "Tony_Hateley", "playsFor", "Notts_County_F.C." ], [ "Warren_Feeney", "isAffiliatedTo", "Cardiff_City_F.C." ], [ "Warren_Feeney", "isAffiliatedTo", "Linfield_F.C." ], [ "Warren_Feeney", "playsFor", "Cardiff_City_F.C." ], [ "Warren_Feeney", "wasBornIn", "Belfast" ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Bromsgrove_Rovers_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Evesham_United_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Hednesford_Town_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Hereford_United_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Nuneaton_Town_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Oxford_United_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Redditch_United_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Stevenage_F.C." ], [ "Wayne_Dyer_(footballer)", "isAffiliatedTo", "Walsall_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Bromsgrove_Rovers_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Evesham_United_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Hednesford_Town_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Hereford_United_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Kettering_Town_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Nuneaton_Town_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Oxford_United_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Redditch_United_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Stevenage_F.C." ], [ "Wayne_Dyer_(footballer)", "playsFor", "Walsall_F.C." ], [ "Wayne_Dyer_(footballer)", "wasBornIn", "Birmingham" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 76359, Abdallah_Kallel 62959, Beji_Caid_el_Sebsi 1251, Danilo_Goiano 109668, Fouad_Mebazaa 117119, Habib_Ben_Yahia 93614, Habib_Boularès 80351, Habib_Bourguiba 75744, Hamadi_Jebali 75742, Hamed_Karoui 48561, Hedi_Amara_Nouira 16482, Kamel_Morjane 23496, Mohamed_Ghannouchi 8520, Mohamed_Jegham 80574, Mohammed_Mzali 107437, Mustapha_Khaznadar 19848, Nabeul 38615, Tunisia 60508, Zine_El_Abidine_Ben_Ali 118104, male src, edge_attr, dst 76359, hasGender, 118104 76359, isPoliticianOf, 38615 62959, hasGender, 118104 62959, isPoliticianOf, 38615 1251, hasGender, 118104 109668, hasGender, 118104 109668, isPoliticianOf, 38615 117119, hasGender, 118104 117119, isPoliticianOf, 38615 93614, hasGender, 118104 93614, isPoliticianOf, 38615 80351, hasGender, 118104 80351, isCitizenOf, 38615 80351, isPoliticianOf, 38615 75744, hasGender, 118104 75744, isPoliticianOf, 38615 75742, hasGender, 118104 75742, isPoliticianOf, 38615 48561, hasGender, 118104 48561, isPoliticianOf, 38615 16482, hasGender, 118104 16482, isPoliticianOf, 38615 23496, hasGender, 118104 23496, isPoliticianOf, 38615 8520, hasGender, 118104 8520, isPoliticianOf, 38615 80574, hasGender, 118104 80574, isPoliticianOf, 38615 107437, hasGender, 118104 107437, isPoliticianOf, 38615 19848, isLocatedIn, 38615 60508, hasGender, 118104 60508, isPoliticianOf, 38615 Question: In what context are Danilo_Goiano and Nabeul connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Danilo_Goiano", "Nabeul" ], "valid_edges": [ [ "Abdallah_Kallel", "hasGender", "male" ], [ "Abdallah_Kallel", "isPoliticianOf", "Tunisia" ], [ "Beji_Caid_el_Sebsi", "hasGender", "male" ], [ "Beji_Caid_el_Sebsi", "isPoliticianOf", "Tunisia" ], [ "Danilo_Goiano", "hasGender", "male" ], [ "Fouad_Mebazaa", "hasGender", "male" ], [ "Fouad_Mebazaa", "isPoliticianOf", "Tunisia" ], [ "Habib_Ben_Yahia", "hasGender", "male" ], [ "Habib_Ben_Yahia", "isPoliticianOf", "Tunisia" ], [ "Habib_Boularès", "hasGender", "male" ], [ "Habib_Boularès", "isPoliticianOf", "Tunisia" ], [ "Habib_Bourguiba", "hasGender", "male" ], [ "Habib_Bourguiba", "isCitizenOf", "Tunisia" ], [ "Habib_Bourguiba", "isPoliticianOf", "Tunisia" ], [ "Hamadi_Jebali", "hasGender", "male" ], [ "Hamadi_Jebali", "isPoliticianOf", "Tunisia" ], [ "Hamed_Karoui", "hasGender", "male" ], [ "Hamed_Karoui", "isPoliticianOf", "Tunisia" ], [ "Hedi_Amara_Nouira", "hasGender", "male" ], [ "Hedi_Amara_Nouira", "isPoliticianOf", "Tunisia" ], [ "Kamel_Morjane", "hasGender", "male" ], [ "Kamel_Morjane", "isPoliticianOf", "Tunisia" ], [ "Mohamed_Ghannouchi", "hasGender", "male" ], [ "Mohamed_Ghannouchi", "isPoliticianOf", "Tunisia" ], [ "Mohamed_Jegham", "hasGender", "male" ], [ "Mohamed_Jegham", "isPoliticianOf", "Tunisia" ], [ "Mohammed_Mzali", "hasGender", "male" ], [ "Mohammed_Mzali", "isPoliticianOf", "Tunisia" ], [ "Mustapha_Khaznadar", "hasGender", "male" ], [ "Mustapha_Khaznadar", "isPoliticianOf", "Tunisia" ], [ "Nabeul", "isLocatedIn", "Tunisia" ], [ "Zine_El_Abidine_Ben_Ali", "hasGender", "male" ], [ "Zine_El_Abidine_Ben_Ali", "isPoliticianOf", "Tunisia" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 102590, Alfred_Riedl 79581, Dalian_Atkinson 5401, F.C._Metz 53537, SK_Admira_Wien 46580, Wilhelm_Kreuz src, edge_attr, dst 102590, isAffiliatedTo, 5401 102590, isAffiliatedTo, 53537 79581, isAffiliatedTo, 5401 46580, isAffiliatedTo, 53537 Question: In what context are Dalian_Atkinson and Wilhelm_Kreuz connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Dalian_Atkinson", "Wilhelm_Kreuz" ], "valid_edges": [ [ "Alfred_Riedl", "isAffiliatedTo", "F.C._Metz" ], [ "Alfred_Riedl", "isAffiliatedTo", "SK_Admira_Wien" ], [ "Dalian_Atkinson", "isAffiliatedTo", "F.C._Metz" ], [ "Wilhelm_Kreuz", "isAffiliatedTo", "SK_Admira_Wien" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 58273, Bonni_Ginzburg 114255, Mirian_III_of_Iberia 118104, male src, edge_attr, dst 58273, hasGender, 118104 114255, hasGender, 118104 Question: For what reason are Bonni_Ginzburg and Mirian_III_of_Iberia associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Bonni_Ginzburg", "Mirian_III_of_Iberia" ], "valid_edges": [ [ "Bonni_Ginzburg", "hasGender", "male" ], [ "Mirian_III_of_Iberia", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 47559, Alexander_Mack 121837, Arnold_Naudain 99852, Artūrs_Irbe 117455, Baltimore_Skipjacks 104988, Benjamin_Franklin 120024, Brian_MacWhinney 109313, Dany_Sabourin 31515, Ed_Rendell 47541, Eric_Schneider 42574, Garrett_Burnett 71890, Gevorg_Ghazaryan 54992, Jaime_Carbonell 31103, Joe_Sestak 80063, John_Tripp_(ice_hockey) 95801, Johnstown_Chiefs 88575, Jonathan_Boutin 78377, Knoxville_Cherokees 99299, M._Night_Shyamalan 7332, Martin_Ostwald 32169, Pennsylvania 37881, Pittsburgh_Penguins 95276, Pēteris_Skudra 25351, Radek_Smoleňák 92333, Rob_Leask 81500, Scott_Gordon 13227, Sebastian_Dahm 87120, Shaun_Sutter 92001, Thomas_McKean 49875, Tom_Corbett 87995, Tom_Ridge 118104, male src, edge_attr, dst 47559, hasGender, 118104 47559, livesIn, 32169 121837, hasGender, 118104 121837, livesIn, 32169 99852, hasGender, 118104 99852, isAffiliatedTo, 95801 104988, hasGender, 118104 104988, isPoliticianOf, 32169 120024, hasGender, 118104 120024, livesIn, 32169 109313, hasGender, 118104 109313, isAffiliatedTo, 95801 109313, isAffiliatedTo, 37881 31515, hasGender, 118104 31515, isPoliticianOf, 32169 47541, hasGender, 118104 47541, isAffiliatedTo, 95801 42574, hasGender, 118104 42574, isAffiliatedTo, 95801 42574, isAffiliatedTo, 78377 71890, hasGender, 118104 54992, hasGender, 118104 54992, livesIn, 32169 31103, hasGender, 118104 31103, livesIn, 32169 80063, hasGender, 118104 80063, isAffiliatedTo, 95801 95801, isLocatedIn, 32169 88575, hasGender, 118104 88575, isAffiliatedTo, 95801 99299, hasGender, 118104 99299, livesIn, 32169 7332, hasGender, 118104 7332, livesIn, 32169 37881, isLocatedIn, 32169 95276, hasGender, 118104 95276, isAffiliatedTo, 95801 95276, isAffiliatedTo, 37881 25351, hasGender, 118104 25351, isAffiliatedTo, 95801 92333, hasGender, 118104 92333, isAffiliatedTo, 117455 92333, isAffiliatedTo, 95801 81500, hasGender, 118104 81500, isAffiliatedTo, 117455 81500, isAffiliatedTo, 95801 81500, isAffiliatedTo, 78377 13227, hasGender, 118104 13227, isAffiliatedTo, 95801 87120, hasGender, 118104 87120, isAffiliatedTo, 95801 92001, hasGender, 118104 92001, isPoliticianOf, 32169 92001, livesIn, 32169 49875, hasGender, 118104 49875, isPoliticianOf, 32169 87995, hasGender, 118104 87995, isPoliticianOf, 32169 Question: For what reason are Gevorg_Ghazaryan and Johnstown_Chiefs associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gevorg_Ghazaryan", "Johnstown_Chiefs" ], "valid_edges": [ [ "Alexander_Mack", "hasGender", "male" ], [ "Alexander_Mack", "livesIn", "Pennsylvania" ], [ "Arnold_Naudain", "hasGender", "male" ], [ "Arnold_Naudain", "livesIn", "Pennsylvania" ], [ "Artūrs_Irbe", "hasGender", "male" ], [ "Artūrs_Irbe", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Benjamin_Franklin", "hasGender", "male" ], [ "Benjamin_Franklin", "isPoliticianOf", "Pennsylvania" ], [ "Brian_MacWhinney", "hasGender", "male" ], [ "Brian_MacWhinney", "livesIn", "Pennsylvania" ], [ "Dany_Sabourin", "hasGender", "male" ], [ "Dany_Sabourin", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Dany_Sabourin", "isAffiliatedTo", "Pittsburgh_Penguins" ], [ "Ed_Rendell", "hasGender", "male" ], [ "Ed_Rendell", "isPoliticianOf", "Pennsylvania" ], [ "Eric_Schneider", "hasGender", "male" ], [ "Eric_Schneider", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Garrett_Burnett", "hasGender", "male" ], [ "Garrett_Burnett", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Garrett_Burnett", "isAffiliatedTo", "Knoxville_Cherokees" ], [ "Gevorg_Ghazaryan", "hasGender", "male" ], [ "Jaime_Carbonell", "hasGender", "male" ], [ "Jaime_Carbonell", "livesIn", "Pennsylvania" ], [ "Joe_Sestak", "hasGender", "male" ], [ "Joe_Sestak", "livesIn", "Pennsylvania" ], [ "John_Tripp_(ice_hockey)", "hasGender", "male" ], [ "John_Tripp_(ice_hockey)", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Johnstown_Chiefs", "isLocatedIn", "Pennsylvania" ], [ "Jonathan_Boutin", "hasGender", "male" ], [ "Jonathan_Boutin", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "M._Night_Shyamalan", "hasGender", "male" ], [ "M._Night_Shyamalan", "livesIn", "Pennsylvania" ], [ "Martin_Ostwald", "hasGender", "male" ], [ "Martin_Ostwald", "livesIn", "Pennsylvania" ], [ "Pittsburgh_Penguins", "isLocatedIn", "Pennsylvania" ], [ "Pēteris_Skudra", "hasGender", "male" ], [ "Pēteris_Skudra", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Pēteris_Skudra", "isAffiliatedTo", "Pittsburgh_Penguins" ], [ "Radek_Smoleňák", "hasGender", "male" ], [ "Radek_Smoleňák", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Rob_Leask", "hasGender", "male" ], [ "Rob_Leask", "isAffiliatedTo", "Baltimore_Skipjacks" ], [ "Rob_Leask", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Scott_Gordon", "hasGender", "male" ], [ "Scott_Gordon", "isAffiliatedTo", "Baltimore_Skipjacks" ], [ "Scott_Gordon", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Scott_Gordon", "isAffiliatedTo", "Knoxville_Cherokees" ], [ "Sebastian_Dahm", "hasGender", "male" ], [ "Sebastian_Dahm", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Shaun_Sutter", "hasGender", "male" ], [ "Shaun_Sutter", "isAffiliatedTo", "Johnstown_Chiefs" ], [ "Thomas_McKean", "hasGender", "male" ], [ "Thomas_McKean", "isPoliticianOf", "Pennsylvania" ], [ "Thomas_McKean", "livesIn", "Pennsylvania" ], [ "Tom_Corbett", "hasGender", "male" ], [ "Tom_Corbett", "isPoliticianOf", "Pennsylvania" ], [ "Tom_Ridge", "hasGender", "male" ], [ "Tom_Ridge", "isPoliticianOf", "Pennsylvania" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 71264, Akanni-Sunday_Wasiu 17098, Alan_Kimble 105600, Amara_Simba 41893, Amy_Witting 98508, Andy_Walker_(footballer_born_1981) 6910, Ashley_Vickers 8965, Barry_Fry 54854, Ben_Strevens 15614, Billericay_Town_F.C. 94279, Brian_Stein 50343, Cliff_Akurang 62992, Craig_Mackail-Smith 100510, Cristina_Casandra 83306, Dagenham_&_Redbridge_F.C. 38992, Damian_Batt 72332, Danny_Green_(footballer_born_1990) 69998, Danny_Hill_(footballer) 31536, Danny_Morgan_(footballer) 69131, Danny_Spiller 60315, Darren_Currie 18322, David_Button 92588, David_Crown 3062, Dean_Beckwith 45322, Dominic_Iorfa 59702, Dominic_Naylor 82106, Gavin_Tomlin 51024, George_Beavan 105659, Godfrey_Ingram 41554, Graeme_Tomlinson 116127, Hans_Suess 113762, Iain_Dowie 21178, Jaime_Lyn_Bauer 112446, Janette_Scott 46158, Joe_Kinnear 109923, John_Taylor_(footballer_born_1964) 89738, Jorja_Fox 115400, Jude_Stirling 58921, Justin_Gentle 37984, Kelly_Haag 93869, Ken_Charlery 31817, Kofi_Nyamah 33944, Lee_Flynn 110325, Liam_George 55068, Luke_Graham_(footballer) 27239, Luton_Town_F.C. 18905, Magnus_Okuonghae 110878, Mark_Brennan 19080, Mark_Nwokeji 22815, Mark_Rooney_(footballer_born_1978) 145, Mark_Stein_(footballer) 109655, Mark_Tyler_(footballer) 78133, Martti_Suosalo 83712, Matthew_Judge 7462, Mel_Capleton 8287, Micah_Hyde_(footballer) 14824, Michael_Spillane_(footballer) 91052, Mick_Bodley 73290, Miguel_de_Souza 17953, Nathan_Abbey 69787, Paul_Bastock 116229, Paul_Benson 16268, Paul_Furlong 107540, Paul_Smith_(footballer_born_1971) 17334, Peggy_Lokando 17825, Richard_Graham_(Northern_Ireland_footballer) 44607, Richard_Pacquette 74471, Ronnie_Burke 78407, Rosie_Barnes 71923, Ryan_Charles 75804, Scott_Griffiths 104662, Scott_Oakes 91207, Shane_Blackett 122555, Shane_Gore 79631, Shaun_Batt 35052, Simon_Livett 32549, Solomon_Taiwo 80881, St_Albans_City_F.C. 13215, Stafford_Browne 78360, Steve_Forbes_(footballer) 52673, Steven_Blaney_(footballer) 35535, Stuart_Douglas 106587, Taiwo_Atieno 92582, Tarkan_Mustafa 69956, Tony_Roberts_(footballer) 118237, Trésor_Kandol 18305, Wayne_Andrews_(footballer) 70288, Will_Antwi 80384, female src, edge_attr, dst 71264, isAffiliatedTo, 27239 71264, isAffiliatedTo, 80881 71264, playsFor, 27239 71264, playsFor, 80881 17098, isAffiliatedTo, 83306 17098, isAffiliatedTo, 27239 17098, playsFor, 83306 17098, playsFor, 27239 105600, isAffiliatedTo, 15614 105600, isAffiliatedTo, 80881 105600, playsFor, 15614 105600, playsFor, 80881 41893, hasGender, 80384 41893, playsFor, 27239 98508, isAffiliatedTo, 15614 98508, isAffiliatedTo, 80881 98508, playsFor, 15614 98508, playsFor, 80881 6910, isAffiliatedTo, 83306 6910, isAffiliatedTo, 80881 6910, playsFor, 83306 6910, playsFor, 80881 8965, isAffiliatedTo, 27239 8965, isAffiliatedTo, 80881 8965, playsFor, 27239 8965, playsFor, 80881 54854, isAffiliatedTo, 83306 54854, isAffiliatedTo, 80881 54854, playsFor, 83306 54854, playsFor, 80881 94279, isAffiliatedTo, 27239 94279, isAffiliatedTo, 80881 94279, playsFor, 27239 94279, playsFor, 80881 50343, isAffiliatedTo, 83306 50343, isAffiliatedTo, 27239 50343, playsFor, 83306 62992, isAffiliatedTo, 83306 62992, isAffiliatedTo, 80881 62992, playsFor, 83306 62992, playsFor, 80881 100510, hasGender, 80384 100510, playsFor, 80881 38992, isAffiliatedTo, 83306 38992, isAffiliatedTo, 80881 38992, playsFor, 83306 38992, playsFor, 80881 72332, playsFor, 15614 72332, playsFor, 83306 72332, playsFor, 80881 69998, isAffiliatedTo, 15614 69998, isAffiliatedTo, 83306 69998, playsFor, 15614 69998, playsFor, 83306 31536, isAffiliatedTo, 15614 31536, isAffiliatedTo, 80881 31536, playsFor, 15614 31536, playsFor, 80881 69131, isAffiliatedTo, 83306 69131, isAffiliatedTo, 27239 69131, playsFor, 83306 69131, playsFor, 27239 60315, isAffiliatedTo, 83306 60315, isAffiliatedTo, 27239 60315, playsFor, 83306 60315, playsFor, 27239 18322, isAffiliatedTo, 83306 18322, isAffiliatedTo, 27239 18322, playsFor, 83306 18322, playsFor, 27239 92588, isAffiliatedTo, 15614 92588, isAffiliatedTo, 83306 92588, playsFor, 15614 92588, playsFor, 83306 3062, isAffiliatedTo, 83306 3062, isAffiliatedTo, 27239 3062, playsFor, 83306 3062, playsFor, 27239 45322, isAffiliatedTo, 15614 45322, isAffiliatedTo, 80881 45322, playsFor, 15614 45322, playsFor, 80881 59702, isAffiliatedTo, 83306 59702, isAffiliatedTo, 80881 59702, playsFor, 83306 59702, playsFor, 80881 82106, isAffiliatedTo, 83306 82106, isAffiliatedTo, 80881 82106, playsFor, 83306 82106, playsFor, 80881 51024, isAffiliatedTo, 15614 51024, isAffiliatedTo, 27239 51024, playsFor, 15614 51024, playsFor, 27239 105659, isAffiliatedTo, 27239 105659, isAffiliatedTo, 80881 105659, playsFor, 27239 105659, playsFor, 80881 41554, isAffiliatedTo, 27239 41554, isAffiliatedTo, 80881 41554, playsFor, 27239 41554, playsFor, 80881 116127, playsFor, 27239 116127, playsFor, 80881 113762, isAffiliatedTo, 27239 113762, isAffiliatedTo, 80881 113762, playsFor, 27239 113762, playsFor, 80881 21178, hasGender, 80384 21178, playsFor, 27239 112446, hasGender, 80384 46158, isAffiliatedTo, 27239 46158, isAffiliatedTo, 80881 46158, playsFor, 80881 109923, isAffiliatedTo, 83306 109923, isAffiliatedTo, 27239 109923, playsFor, 83306 109923, playsFor, 27239 89738, hasGender, 80384 89738, playsFor, 15614 115400, isAffiliatedTo, 27239 115400, isAffiliatedTo, 80881 115400, playsFor, 27239 115400, playsFor, 80881 58921, playsFor, 15614 58921, playsFor, 83306 58921, playsFor, 27239 58921, playsFor, 80881 37984, playsFor, 83306 37984, playsFor, 80881 93869, isAffiliatedTo, 15614 93869, isAffiliatedTo, 83306 93869, playsFor, 15614 93869, playsFor, 83306 31817, playsFor, 15614 31817, playsFor, 27239 33944, isAffiliatedTo, 83306 33944, isAffiliatedTo, 80881 33944, playsFor, 83306 33944, playsFor, 80881 110325, isAffiliatedTo, 27239 110325, isAffiliatedTo, 80881 110325, playsFor, 27239 110325, playsFor, 80881 55068, isAffiliatedTo, 15614 55068, isAffiliatedTo, 27239 55068, playsFor, 15614 55068, playsFor, 27239 18905, isAffiliatedTo, 83306 18905, isAffiliatedTo, 80881 18905, playsFor, 83306 18905, playsFor, 80881 110878, isAffiliatedTo, 15614 110878, isAffiliatedTo, 83306 110878, playsFor, 15614 110878, playsFor, 83306 19080, isAffiliatedTo, 83306 19080, isAffiliatedTo, 27239 19080, isAffiliatedTo, 80881 19080, playsFor, 83306 19080, playsFor, 27239 19080, playsFor, 80881 22815, isAffiliatedTo, 83306 22815, isAffiliatedTo, 80881 22815, playsFor, 83306 22815, playsFor, 80881 145, isAffiliatedTo, 83306 145, isAffiliatedTo, 27239 145, playsFor, 83306 145, playsFor, 27239 109655, isAffiliatedTo, 15614 109655, isAffiliatedTo, 27239 109655, playsFor, 15614 109655, playsFor, 27239 78133, playsFor, 83306 78133, playsFor, 80881 83712, isAffiliatedTo, 83306 83712, isAffiliatedTo, 27239 83712, playsFor, 83306 83712, playsFor, 27239 7462, isAffiliatedTo, 15614 7462, isAffiliatedTo, 80881 7462, playsFor, 15614 7462, playsFor, 80881 8287, isAffiliatedTo, 15614 8287, isAffiliatedTo, 80881 8287, playsFor, 15614 8287, playsFor, 80881 14824, isAffiliatedTo, 83306 14824, isAffiliatedTo, 27239 14824, playsFor, 83306 14824, playsFor, 27239 91052, playsFor, 83306 91052, playsFor, 80881 73290, isAffiliatedTo, 83306 73290, isAffiliatedTo, 80881 73290, playsFor, 83306 73290, playsFor, 80881 17953, isAffiliatedTo, 27239 17953, isAffiliatedTo, 80881 17953, playsFor, 27239 17953, playsFor, 80881 69787, isAffiliatedTo, 83306 69787, isAffiliatedTo, 80881 69787, playsFor, 83306 69787, playsFor, 80881 116229, isAffiliatedTo, 83306 116229, isAffiliatedTo, 27239 116229, playsFor, 83306 116229, playsFor, 27239 16268, isAffiliatedTo, 27239 16268, isAffiliatedTo, 80881 16268, playsFor, 27239 16268, playsFor, 80881 107540, isAffiliatedTo, 15614 107540, isAffiliatedTo, 80881 107540, playsFor, 15614 107540, playsFor, 80881 17334, isAffiliatedTo, 15614 17334, isAffiliatedTo, 83306 17334, isAffiliatedTo, 80881 17334, playsFor, 15614 17334, playsFor, 83306 17334, playsFor, 80881 17825, isAffiliatedTo, 15614 17825, isAffiliatedTo, 83306 17825, isAffiliatedTo, 80881 17825, playsFor, 15614 17825, playsFor, 83306 17825, playsFor, 80881 44607, isAffiliatedTo, 83306 44607, isAffiliatedTo, 80881 44607, playsFor, 83306 44607, playsFor, 80881 74471, isAffiliatedTo, 27239 74471, isAffiliatedTo, 80881 74471, playsFor, 27239 78407, hasGender, 80384 78407, playsFor, 83306 71923, isAffiliatedTo, 15614 71923, isAffiliatedTo, 27239 71923, playsFor, 15614 71923, playsFor, 27239 75804, isAffiliatedTo, 83306 75804, isAffiliatedTo, 27239 75804, playsFor, 83306 75804, playsFor, 27239 104662, isAffiliatedTo, 27239 104662, isAffiliatedTo, 80881 104662, playsFor, 27239 104662, playsFor, 80881 91207, isAffiliatedTo, 83306 91207, isAffiliatedTo, 27239 91207, playsFor, 83306 91207, playsFor, 27239 122555, playsFor, 27239 122555, playsFor, 80881 79631, isAffiliatedTo, 83306 79631, isAffiliatedTo, 80881 79631, playsFor, 83306 79631, playsFor, 80881 35052, playsFor, 15614 35052, playsFor, 83306 32549, isAffiliatedTo, 83306 32549, isAffiliatedTo, 27239 32549, playsFor, 83306 32549, playsFor, 27239 13215, playsFor, 83306 13215, playsFor, 80881 78360, playsFor, 15614 78360, playsFor, 83306 52673, playsFor, 15614 52673, playsFor, 80881 35535, isAffiliatedTo, 83306 35535, isAffiliatedTo, 27239 35535, playsFor, 83306 35535, playsFor, 27239 106587, isAffiliatedTo, 83306 106587, isAffiliatedTo, 27239 106587, playsFor, 83306 106587, playsFor, 27239 92582, isAffiliatedTo, 15614 92582, isAffiliatedTo, 83306 92582, playsFor, 15614 92582, playsFor, 83306 69956, isAffiliatedTo, 83306 69956, isAffiliatedTo, 80881 69956, playsFor, 83306 69956, playsFor, 80881 118237, isAffiliatedTo, 83306 118237, isAffiliatedTo, 27239 118237, playsFor, 83306 118237, playsFor, 27239 18305, isAffiliatedTo, 27239 18305, isAffiliatedTo, 80881 18305, playsFor, 27239 18305, playsFor, 80881 70288, isAffiliatedTo, 83306 70288, isAffiliatedTo, 27239 70288, playsFor, 83306 70288, playsFor, 27239 Question: In what context are Janette_Scott and Justin_Gentle connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Janette_Scott", "Justin_Gentle" ], "valid_edges": [ [ "Akanni-Sunday_Wasiu", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Akanni-Sunday_Wasiu", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Akanni-Sunday_Wasiu", "playsFor", "Luton_Town_F.C." ], [ "Akanni-Sunday_Wasiu", "playsFor", "St_Albans_City_F.C." ], [ "Alan_Kimble", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Alan_Kimble", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Alan_Kimble", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Alan_Kimble", "playsFor", "Luton_Town_F.C." ], [ "Amara_Simba", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Amara_Simba", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Amara_Simba", "playsFor", "Billericay_Town_F.C." ], [ "Amara_Simba", "playsFor", "St_Albans_City_F.C." ], [ "Amy_Witting", "hasGender", "female" ], [ "Amy_Witting", "playsFor", "Luton_Town_F.C." ], [ "Andy_Walker_(footballer_born_1981)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Andy_Walker_(footballer_born_1981)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Andy_Walker_(footballer_born_1981)", "playsFor", "Billericay_Town_F.C." ], [ "Andy_Walker_(footballer_born_1981)", "playsFor", "St_Albans_City_F.C." ], [ "Ashley_Vickers", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Ashley_Vickers", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Ashley_Vickers", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Ashley_Vickers", "playsFor", "St_Albans_City_F.C." ], [ "Barry_Fry", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Barry_Fry", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Barry_Fry", "playsFor", "Luton_Town_F.C." ], [ "Barry_Fry", "playsFor", "St_Albans_City_F.C." ], [ "Ben_Strevens", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Ben_Strevens", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Ben_Strevens", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Ben_Strevens", "playsFor", "St_Albans_City_F.C." ], [ "Brian_Stein", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Brian_Stein", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Brian_Stein", "playsFor", "Luton_Town_F.C." ], [ "Brian_Stein", "playsFor", "St_Albans_City_F.C." ], [ "Cliff_Akurang", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Cliff_Akurang", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Cliff_Akurang", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Craig_Mackail-Smith", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Craig_Mackail-Smith", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Craig_Mackail-Smith", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Craig_Mackail-Smith", "playsFor", "St_Albans_City_F.C." ], [ "Cristina_Casandra", "hasGender", "female" ], [ "Cristina_Casandra", "playsFor", "St_Albans_City_F.C." ], [ "Damian_Batt", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Damian_Batt", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Damian_Batt", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Damian_Batt", "playsFor", "St_Albans_City_F.C." ], [ "Danny_Green_(footballer_born_1990)", "playsFor", "Billericay_Town_F.C." ], [ "Danny_Green_(footballer_born_1990)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Danny_Green_(footballer_born_1990)", "playsFor", "St_Albans_City_F.C." ], [ "Danny_Hill_(footballer)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Danny_Hill_(footballer)", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Danny_Hill_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Danny_Hill_(footballer)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Danny_Morgan_(footballer)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Danny_Morgan_(footballer)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Danny_Morgan_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Danny_Morgan_(footballer)", "playsFor", "St_Albans_City_F.C." ], [ "Danny_Spiller", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Danny_Spiller", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Danny_Spiller", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Danny_Spiller", "playsFor", "Luton_Town_F.C." ], [ "Darren_Currie", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Darren_Currie", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Darren_Currie", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Darren_Currie", "playsFor", "Luton_Town_F.C." ], [ "David_Button", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "David_Button", "isAffiliatedTo", "Luton_Town_F.C." ], [ "David_Button", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "David_Button", "playsFor", "Luton_Town_F.C." ], [ "David_Crown", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "David_Crown", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "David_Crown", "playsFor", "Billericay_Town_F.C." ], [ "David_Crown", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Dean_Beckwith", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Dean_Beckwith", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Dean_Beckwith", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Dean_Beckwith", "playsFor", "Luton_Town_F.C." ], [ "Dominic_Iorfa", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Dominic_Iorfa", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Dominic_Iorfa", "playsFor", "Billericay_Town_F.C." ], [ "Dominic_Iorfa", "playsFor", "St_Albans_City_F.C." ], [ "Dominic_Naylor", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Dominic_Naylor", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Dominic_Naylor", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Dominic_Naylor", "playsFor", "St_Albans_City_F.C." ], [ "Gavin_Tomlin", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Gavin_Tomlin", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Gavin_Tomlin", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Gavin_Tomlin", "playsFor", "St_Albans_City_F.C." ], [ "George_Beavan", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "George_Beavan", "isAffiliatedTo", "Luton_Town_F.C." ], [ "George_Beavan", "playsFor", "Billericay_Town_F.C." ], [ "George_Beavan", "playsFor", "Luton_Town_F.C." ], [ "Godfrey_Ingram", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Godfrey_Ingram", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Godfrey_Ingram", "playsFor", "Luton_Town_F.C." ], [ "Godfrey_Ingram", "playsFor", "St_Albans_City_F.C." ], [ "Graeme_Tomlinson", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Graeme_Tomlinson", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Graeme_Tomlinson", "playsFor", "Luton_Town_F.C." ], [ "Graeme_Tomlinson", "playsFor", "St_Albans_City_F.C." ], [ "Hans_Suess", "playsFor", "Luton_Town_F.C." ], [ "Hans_Suess", "playsFor", "St_Albans_City_F.C." ], [ "Iain_Dowie", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Iain_Dowie", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Iain_Dowie", "playsFor", "Luton_Town_F.C." ], [ "Iain_Dowie", "playsFor", "St_Albans_City_F.C." ], [ "Jaime_Lyn_Bauer", "hasGender", "female" ], [ "Jaime_Lyn_Bauer", "playsFor", "Luton_Town_F.C." ], [ "Janette_Scott", "hasGender", "female" ], [ "Joe_Kinnear", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Joe_Kinnear", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Joe_Kinnear", "playsFor", "St_Albans_City_F.C." ], [ "John_Taylor_(footballer_born_1964)", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "John_Taylor_(footballer_born_1964)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "John_Taylor_(footballer_born_1964)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "John_Taylor_(footballer_born_1964)", "playsFor", "Luton_Town_F.C." ], [ "Jorja_Fox", "hasGender", "female" ], [ "Jorja_Fox", "playsFor", "Billericay_Town_F.C." ], [ "Jude_Stirling", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Jude_Stirling", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Jude_Stirling", "playsFor", "Luton_Town_F.C." ], [ "Jude_Stirling", "playsFor", "St_Albans_City_F.C." ], [ "Justin_Gentle", "playsFor", "Billericay_Town_F.C." ], [ "Justin_Gentle", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Justin_Gentle", "playsFor", "Luton_Town_F.C." ], [ "Justin_Gentle", "playsFor", "St_Albans_City_F.C." ], [ "Kelly_Haag", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Kelly_Haag", "playsFor", "St_Albans_City_F.C." ], [ "Ken_Charlery", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Ken_Charlery", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Ken_Charlery", "playsFor", "Billericay_Town_F.C." ], [ "Ken_Charlery", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Kofi_Nyamah", "playsFor", "Billericay_Town_F.C." ], [ "Kofi_Nyamah", "playsFor", "Luton_Town_F.C." ], [ "Lee_Flynn", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Lee_Flynn", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Lee_Flynn", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Lee_Flynn", "playsFor", "St_Albans_City_F.C." ], [ "Liam_George", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Liam_George", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Liam_George", "playsFor", "Luton_Town_F.C." ], [ "Liam_George", "playsFor", "St_Albans_City_F.C." ], [ "Luke_Graham_(footballer)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Luke_Graham_(footballer)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Luke_Graham_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Luke_Graham_(footballer)", "playsFor", "Luton_Town_F.C." ], [ "Magnus_Okuonghae", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Magnus_Okuonghae", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Magnus_Okuonghae", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Magnus_Okuonghae", "playsFor", "St_Albans_City_F.C." ], [ "Mark_Brennan", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Mark_Brennan", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Brennan", "playsFor", "Billericay_Town_F.C." ], [ "Mark_Brennan", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Nwokeji", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Nwokeji", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Mark_Nwokeji", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Mark_Nwokeji", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Nwokeji", "playsFor", "Luton_Town_F.C." ], [ "Mark_Nwokeji", "playsFor", "St_Albans_City_F.C." ], [ "Mark_Rooney_(footballer_born_1978)", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Rooney_(footballer_born_1978)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Mark_Rooney_(footballer_born_1978)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Rooney_(footballer_born_1978)", "playsFor", "St_Albans_City_F.C." ], [ "Mark_Stein_(footballer)", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Stein_(footballer)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Mark_Stein_(footballer)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Mark_Stein_(footballer)", "playsFor", "Luton_Town_F.C." ], [ "Mark_Tyler_(footballer)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Mark_Tyler_(footballer)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Mark_Tyler_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Mark_Tyler_(footballer)", "playsFor", "Luton_Town_F.C." ], [ "Martti_Suosalo", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Martti_Suosalo", "playsFor", "St_Albans_City_F.C." ], [ "Matthew_Judge", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Matthew_Judge", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Matthew_Judge", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Matthew_Judge", "playsFor", "Luton_Town_F.C." ], [ "Mel_Capleton", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Mel_Capleton", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Mel_Capleton", "playsFor", "Billericay_Town_F.C." ], [ "Mel_Capleton", "playsFor", "St_Albans_City_F.C." ], [ "Micah_Hyde_(footballer)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Micah_Hyde_(footballer)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Micah_Hyde_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Micah_Hyde_(footballer)", "playsFor", "St_Albans_City_F.C." ], [ "Michael_Spillane_(footballer)", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Michael_Spillane_(footballer)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Michael_Spillane_(footballer)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Michael_Spillane_(footballer)", "playsFor", "Luton_Town_F.C." ], [ "Mick_Bodley", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Mick_Bodley", "playsFor", "St_Albans_City_F.C." ], [ "Miguel_de_Souza", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Miguel_de_Souza", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Miguel_de_Souza", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Miguel_de_Souza", "playsFor", "St_Albans_City_F.C." ], [ "Nathan_Abbey", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Nathan_Abbey", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Nathan_Abbey", "playsFor", "Luton_Town_F.C." ], [ "Nathan_Abbey", "playsFor", "St_Albans_City_F.C." ], [ "Paul_Bastock", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Paul_Bastock", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Paul_Bastock", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Paul_Bastock", "playsFor", "St_Albans_City_F.C." ], [ "Paul_Benson", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Paul_Benson", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Paul_Benson", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Paul_Benson", "playsFor", "Luton_Town_F.C." ], [ "Paul_Furlong", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Paul_Furlong", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Paul_Furlong", "playsFor", "Luton_Town_F.C." ], [ "Paul_Furlong", "playsFor", "St_Albans_City_F.C." ], [ "Paul_Smith_(footballer_born_1971)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Paul_Smith_(footballer_born_1971)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Paul_Smith_(footballer_born_1971)", "playsFor", "Billericay_Town_F.C." ], [ "Paul_Smith_(footballer_born_1971)", "playsFor", "St_Albans_City_F.C." ], [ "Peggy_Lokando", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Peggy_Lokando", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Peggy_Lokando", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Peggy_Lokando", "playsFor", "Billericay_Town_F.C." ], [ "Peggy_Lokando", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Peggy_Lokando", "playsFor", "St_Albans_City_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Richard_Graham_(Northern_Ireland_footballer)", "playsFor", "St_Albans_City_F.C." ], [ "Richard_Pacquette", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Richard_Pacquette", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Richard_Pacquette", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Richard_Pacquette", "playsFor", "St_Albans_City_F.C." ], [ "Ronnie_Burke", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Ronnie_Burke", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Ronnie_Burke", "playsFor", "Luton_Town_F.C." ], [ "Rosie_Barnes", "hasGender", "female" ], [ "Rosie_Barnes", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Ryan_Charles", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Ryan_Charles", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Ryan_Charles", "playsFor", "Billericay_Town_F.C." ], [ "Ryan_Charles", "playsFor", "Luton_Town_F.C." ], [ "Scott_Griffiths", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Scott_Griffiths", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Scott_Griffiths", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Scott_Griffiths", "playsFor", "Luton_Town_F.C." ], [ "Scott_Oakes", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Scott_Oakes", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Scott_Oakes", "playsFor", "Luton_Town_F.C." ], [ "Scott_Oakes", "playsFor", "St_Albans_City_F.C." ], [ "Shane_Blackett", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Shane_Blackett", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Shane_Blackett", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Shane_Blackett", "playsFor", "Luton_Town_F.C." ], [ "Shane_Gore", "playsFor", "Luton_Town_F.C." ], [ "Shane_Gore", "playsFor", "St_Albans_City_F.C." ], [ "Shaun_Batt", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Shaun_Batt", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Shaun_Batt", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Shaun_Batt", "playsFor", "St_Albans_City_F.C." ], [ "Simon_Livett", "playsFor", "Billericay_Town_F.C." ], [ "Simon_Livett", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Solomon_Taiwo", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Solomon_Taiwo", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Solomon_Taiwo", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Solomon_Taiwo", "playsFor", "Luton_Town_F.C." ], [ "Stafford_Browne", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Stafford_Browne", "playsFor", "St_Albans_City_F.C." ], [ "Steve_Forbes_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Steve_Forbes_(footballer)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Steven_Blaney_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Steven_Blaney_(footballer)", "playsFor", "St_Albans_City_F.C." ], [ "Stuart_Douglas", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Stuart_Douglas", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Stuart_Douglas", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Stuart_Douglas", "playsFor", "Luton_Town_F.C." ], [ "Taiwo_Atieno", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Taiwo_Atieno", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Taiwo_Atieno", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Taiwo_Atieno", "playsFor", "Luton_Town_F.C." ], [ "Tarkan_Mustafa", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Tarkan_Mustafa", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Tarkan_Mustafa", "playsFor", "Billericay_Town_F.C." ], [ "Tarkan_Mustafa", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Tony_Roberts_(footballer)", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Tony_Roberts_(footballer)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Tony_Roberts_(footballer)", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Tony_Roberts_(footballer)", "playsFor", "St_Albans_City_F.C." ], [ "Trésor_Kandol", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Trésor_Kandol", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Trésor_Kandol", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Trésor_Kandol", "playsFor", "Luton_Town_F.C." ], [ "Wayne_Andrews_(footballer)", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Wayne_Andrews_(footballer)", "isAffiliatedTo", "St_Albans_City_F.C." ], [ "Wayne_Andrews_(footballer)", "playsFor", "Luton_Town_F.C." ], [ "Wayne_Andrews_(footballer)", "playsFor", "St_Albans_City_F.C." ], [ "Will_Antwi", "isAffiliatedTo", "Dagenham_&_Redbridge_F.C." ], [ "Will_Antwi", "isAffiliatedTo", "Luton_Town_F.C." ], [ "Will_Antwi", "playsFor", "Dagenham_&_Redbridge_F.C." ], [ "Will_Antwi", "playsFor", "Luton_Town_F.C." ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 20864, Abiko,_Chiba 70102, Akihito 117955, Akishima,_Tokyo 50835, Andrez_Bergen 99244, Chōfu,_Tokyo 60772, Civard_Sprockel 63726, Ei-ichi_Negishi 15464, Fuchū,_Tokyo 31822, Fumihiko_Maki 71856, Fussa,_Tokyo 70152, Hamamatsu 8050, Hidehiko_Yamabe 92138, Hideki_Kamiya 37772, Hideki_Yukawa 59047, Hino,_Tokyo 75496, Hiroshi_Nakai 9491, Hitoshi_Ashida 38748, Honshu 51511, Ichirō_Ozawa 76792, Japan 104617, Junichiro_Koizumi 26778, Kaoru_Yosano 112682, Katsura_Tarō 19417, Katsuya_Okada 87860, Katō_Tomosaburō 57302, Kazunori_Itō 79994, Keizō_Obuchi 1261, Ken_Sugimori 82891, Kenkichi_Iwasawa 89944, Kiyoshi_Itō 55192, Koji_Suzuki 69720, Kuniaki_Koiso 58878, Kunihiko_Kodaira 95454, Kōichi_Mashimo 101015, Kōichirō_Genba 60681, Machida,_Tokyo 2128, Makoto_Kobayashi_(physicist) 59227, Matajirō_Koizumi 111621, Matsuo_Bashō 91623, Mikio_Sato 33381, Minoru_Yanagida 106752, Morihiro_Higashikuni 45614, Naoto_Kan 25781, Osamu_Shimomura 57308, Prince_Naruhiko_Higashikuni 23651, Ryōji_Noyori 114587, Saitō_Makoto 90423, Satsuki_Eda 80473, Seiji_Maehara 3994, Shigeru_Yoshida 83209, Shinjuku,_Tokyo 11275, Shinzō_Abe 122062, Shokichi_Iyanaga 65201, Susumu_Tonegawa 20689, Tadamitsu_Kishimoto 71663, Taitō,_Tokyo 78908, Tama,_Tokyo 108479, Tanaka_Giichi 25624, Tatsuo_Kawabata 14987, Teiji_Takagi 105576, Terauchi_Masatake 47334, Tokyo 101602, Yamagata_Aritomo 68441, Yasunari_Kawabata 46830, Yasuo_Fukuda 116107, Yoichiro_Nambu 28873, Yoshihiko_Noda 63590, Yozo_Matsushima 87019, Yukio_Hatoyama 108025, Yōichi_Masuzoe 118104, male src, edge_attr, dst 20864, isLocatedIn, 38748 20864, isLocatedIn, 76792 70102, hasGender, 118104 70102, isLeaderOf, 76792 117955, isLocatedIn, 38748 117955, isLocatedIn, 76792 50835, hasGender, 118104 50835, livesIn, 76792 99244, isLocatedIn, 38748 99244, isLocatedIn, 76792 60772, hasGender, 118104 63726, hasGender, 118104 63726, isCitizenOf, 76792 15464, isLocatedIn, 38748 15464, isLocatedIn, 76792 31822, hasGender, 118104 31822, isCitizenOf, 76792 71856, isLocatedIn, 38748 71856, isLocatedIn, 76792 70152, isLocatedIn, 38748 70152, isLocatedIn, 76792 8050, hasGender, 118104 8050, isCitizenOf, 76792 92138, hasGender, 118104 92138, isCitizenOf, 76792 37772, hasGender, 118104 37772, isCitizenOf, 76792 59047, isLocatedIn, 38748 59047, isLocatedIn, 76792 75496, hasGender, 118104 75496, isPoliticianOf, 76792 9491, hasGender, 118104 9491, isPoliticianOf, 76792 38748, isLocatedIn, 76792 51511, hasGender, 118104 51511, isPoliticianOf, 76792 76792, hasCapital, 47334 104617, hasGender, 118104 104617, isPoliticianOf, 76792 26778, hasGender, 118104 26778, isPoliticianOf, 76792 112682, hasGender, 118104 112682, isPoliticianOf, 76792 19417, hasGender, 118104 19417, isPoliticianOf, 76792 87860, hasGender, 118104 87860, isPoliticianOf, 76792 57302, hasGender, 118104 57302, isCitizenOf, 76792 79994, hasGender, 118104 79994, isPoliticianOf, 76792 1261, hasGender, 118104 1261, isCitizenOf, 76792 82891, hasGender, 118104 82891, isCitizenOf, 76792 89944, hasGender, 118104 89944, isCitizenOf, 76792 55192, hasGender, 118104 55192, isCitizenOf, 76792 69720, hasGender, 118104 69720, isPoliticianOf, 76792 58878, hasGender, 118104 58878, isCitizenOf, 76792 95454, hasGender, 118104 95454, isCitizenOf, 76792 101015, hasGender, 118104 101015, isPoliticianOf, 76792 60681, isLocatedIn, 38748 60681, isLocatedIn, 76792 2128, hasGender, 118104 2128, isCitizenOf, 76792 59227, hasGender, 118104 59227, isPoliticianOf, 76792 111621, hasGender, 118104 111621, isCitizenOf, 76792 91623, hasGender, 118104 91623, isCitizenOf, 76792 33381, hasGender, 118104 33381, isPoliticianOf, 76792 106752, hasGender, 118104 106752, isPoliticianOf, 76792 45614, hasGender, 118104 45614, isPoliticianOf, 76792 25781, hasGender, 118104 25781, isCitizenOf, 76792 57308, hasGender, 118104 57308, isPoliticianOf, 76792 23651, hasGender, 118104 23651, isCitizenOf, 76792 114587, hasGender, 118104 114587, isPoliticianOf, 76792 90423, hasGender, 118104 90423, isPoliticianOf, 76792 80473, hasGender, 118104 80473, isPoliticianOf, 76792 3994, hasGender, 118104 3994, isPoliticianOf, 76792 83209, isLocatedIn, 38748 83209, isLocatedIn, 76792 11275, hasGender, 118104 11275, isLeaderOf, 76792 11275, isPoliticianOf, 76792 122062, hasGender, 118104 122062, isCitizenOf, 76792 65201, hasGender, 118104 65201, isCitizenOf, 76792 20689, hasGender, 118104 20689, isCitizenOf, 76792 71663, isLocatedIn, 38748 71663, isLocatedIn, 76792 78908, isLocatedIn, 38748 78908, isLocatedIn, 76792 108479, hasGender, 118104 108479, isPoliticianOf, 76792 25624, hasGender, 118104 25624, isPoliticianOf, 76792 14987, hasGender, 118104 14987, isCitizenOf, 76792 105576, hasGender, 118104 105576, isPoliticianOf, 76792 47334, isLocatedIn, 38748 47334, isLocatedIn, 76792 101602, hasGender, 118104 101602, isPoliticianOf, 76792 68441, hasGender, 118104 68441, isCitizenOf, 76792 46830, hasGender, 118104 46830, isPoliticianOf, 76792 116107, hasGender, 118104 116107, isCitizenOf, 76792 28873, hasGender, 118104 28873, isPoliticianOf, 76792 63590, hasGender, 118104 63590, isCitizenOf, 76792 87019, hasGender, 118104 87019, isPoliticianOf, 76792 108025, hasGender, 118104 108025, isPoliticianOf, 76792 Question: For what reason are Abiko,_Chiba and Civard_Sprockel associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Abiko,_Chiba", "Civard_Sprockel" ], "valid_edges": [ [ "Abiko,_Chiba", "isLocatedIn", "Honshu" ], [ "Abiko,_Chiba", "isLocatedIn", "Japan" ], [ "Akihito", "hasGender", "male" ], [ "Akihito", "isLeaderOf", "Japan" ], [ "Akishima,_Tokyo", "isLocatedIn", "Honshu" ], [ "Akishima,_Tokyo", "isLocatedIn", "Japan" ], [ "Andrez_Bergen", "hasGender", "male" ], [ "Andrez_Bergen", "livesIn", "Japan" ], [ "Chōfu,_Tokyo", "isLocatedIn", "Honshu" ], [ "Chōfu,_Tokyo", "isLocatedIn", "Japan" ], [ "Civard_Sprockel", "hasGender", "male" ], [ "Ei-ichi_Negishi", "hasGender", "male" ], [ "Ei-ichi_Negishi", "isCitizenOf", "Japan" ], [ "Fuchū,_Tokyo", "isLocatedIn", "Honshu" ], [ "Fuchū,_Tokyo", "isLocatedIn", "Japan" ], [ "Fumihiko_Maki", "hasGender", "male" ], [ "Fumihiko_Maki", "isCitizenOf", "Japan" ], [ "Fussa,_Tokyo", "isLocatedIn", "Honshu" ], [ "Fussa,_Tokyo", "isLocatedIn", "Japan" ], [ "Hamamatsu", "isLocatedIn", "Honshu" ], [ "Hamamatsu", "isLocatedIn", "Japan" ], [ "Hidehiko_Yamabe", "hasGender", "male" ], [ "Hidehiko_Yamabe", "isCitizenOf", "Japan" ], [ "Hideki_Kamiya", "hasGender", "male" ], [ "Hideki_Kamiya", "isCitizenOf", "Japan" ], [ "Hideki_Yukawa", "hasGender", "male" ], [ "Hideki_Yukawa", "isCitizenOf", "Japan" ], [ "Hino,_Tokyo", "isLocatedIn", "Honshu" ], [ "Hino,_Tokyo", "isLocatedIn", "Japan" ], [ "Hiroshi_Nakai", "hasGender", "male" ], [ "Hiroshi_Nakai", "isPoliticianOf", "Japan" ], [ "Hitoshi_Ashida", "hasGender", "male" ], [ "Hitoshi_Ashida", "isPoliticianOf", "Japan" ], [ "Honshu", "isLocatedIn", "Japan" ], [ "Ichirō_Ozawa", "hasGender", "male" ], [ "Ichirō_Ozawa", "isPoliticianOf", "Japan" ], [ "Japan", "hasCapital", "Tokyo" ], [ "Junichiro_Koizumi", "hasGender", "male" ], [ "Junichiro_Koizumi", "isPoliticianOf", "Japan" ], [ "Kaoru_Yosano", "hasGender", "male" ], [ "Kaoru_Yosano", "isPoliticianOf", "Japan" ], [ "Katsura_Tarō", "hasGender", "male" ], [ "Katsura_Tarō", "isPoliticianOf", "Japan" ], [ "Katsuya_Okada", "hasGender", "male" ], [ "Katsuya_Okada", "isPoliticianOf", "Japan" ], [ "Katō_Tomosaburō", "hasGender", "male" ], [ "Katō_Tomosaburō", "isPoliticianOf", "Japan" ], [ "Kazunori_Itō", "hasGender", "male" ], [ "Kazunori_Itō", "isCitizenOf", "Japan" ], [ "Keizō_Obuchi", "hasGender", "male" ], [ "Keizō_Obuchi", "isPoliticianOf", "Japan" ], [ "Ken_Sugimori", "hasGender", "male" ], [ "Ken_Sugimori", "isCitizenOf", "Japan" ], [ "Kenkichi_Iwasawa", "hasGender", "male" ], [ "Kenkichi_Iwasawa", "isCitizenOf", "Japan" ], [ "Kiyoshi_Itō", "hasGender", "male" ], [ "Kiyoshi_Itō", "isCitizenOf", "Japan" ], [ "Koji_Suzuki", "hasGender", "male" ], [ "Koji_Suzuki", "isCitizenOf", "Japan" ], [ "Kuniaki_Koiso", "hasGender", "male" ], [ "Kuniaki_Koiso", "isPoliticianOf", "Japan" ], [ "Kunihiko_Kodaira", "hasGender", "male" ], [ "Kunihiko_Kodaira", "isCitizenOf", "Japan" ], [ "Kōichi_Mashimo", "hasGender", "male" ], [ "Kōichi_Mashimo", "isCitizenOf", "Japan" ], [ "Kōichirō_Genba", "hasGender", "male" ], [ "Kōichirō_Genba", "isPoliticianOf", "Japan" ], [ "Machida,_Tokyo", "isLocatedIn", "Honshu" ], [ "Machida,_Tokyo", "isLocatedIn", "Japan" ], [ "Makoto_Kobayashi_(physicist)", "hasGender", "male" ], [ "Makoto_Kobayashi_(physicist)", "isCitizenOf", "Japan" ], [ "Matajirō_Koizumi", "hasGender", "male" ], [ "Matajirō_Koizumi", "isPoliticianOf", "Japan" ], [ "Matsuo_Bashō", "hasGender", "male" ], [ "Matsuo_Bashō", "isCitizenOf", "Japan" ], [ "Mikio_Sato", "hasGender", "male" ], [ "Mikio_Sato", "isCitizenOf", "Japan" ], [ "Minoru_Yanagida", "hasGender", "male" ], [ "Minoru_Yanagida", "isPoliticianOf", "Japan" ], [ "Morihiro_Higashikuni", "hasGender", "male" ], [ "Morihiro_Higashikuni", "isPoliticianOf", "Japan" ], [ "Naoto_Kan", "hasGender", "male" ], [ "Naoto_Kan", "isPoliticianOf", "Japan" ], [ "Osamu_Shimomura", "hasGender", "male" ], [ "Osamu_Shimomura", "isCitizenOf", "Japan" ], [ "Prince_Naruhiko_Higashikuni", "hasGender", "male" ], [ "Prince_Naruhiko_Higashikuni", "isPoliticianOf", "Japan" ], [ "Ryōji_Noyori", "hasGender", "male" ], [ "Ryōji_Noyori", "isCitizenOf", "Japan" ], [ "Saitō_Makoto", "hasGender", "male" ], [ "Saitō_Makoto", "isPoliticianOf", "Japan" ], [ "Satsuki_Eda", "hasGender", "male" ], [ "Satsuki_Eda", "isPoliticianOf", "Japan" ], [ "Seiji_Maehara", "hasGender", "male" ], [ "Seiji_Maehara", "isPoliticianOf", "Japan" ], [ "Shigeru_Yoshida", "hasGender", "male" ], [ "Shigeru_Yoshida", "isPoliticianOf", "Japan" ], [ "Shinjuku,_Tokyo", "isLocatedIn", "Honshu" ], [ "Shinjuku,_Tokyo", "isLocatedIn", "Japan" ], [ "Shinzō_Abe", "hasGender", "male" ], [ "Shinzō_Abe", "isLeaderOf", "Japan" ], [ "Shinzō_Abe", "isPoliticianOf", "Japan" ], [ "Shokichi_Iyanaga", "hasGender", "male" ], [ "Shokichi_Iyanaga", "isCitizenOf", "Japan" ], [ "Susumu_Tonegawa", "hasGender", "male" ], [ "Susumu_Tonegawa", "isCitizenOf", "Japan" ], [ "Tadamitsu_Kishimoto", "hasGender", "male" ], [ "Tadamitsu_Kishimoto", "isCitizenOf", "Japan" ], [ "Taitō,_Tokyo", "isLocatedIn", "Honshu" ], [ "Taitō,_Tokyo", "isLocatedIn", "Japan" ], [ "Tama,_Tokyo", "isLocatedIn", "Honshu" ], [ "Tama,_Tokyo", "isLocatedIn", "Japan" ], [ "Tanaka_Giichi", "hasGender", "male" ], [ "Tanaka_Giichi", "isPoliticianOf", "Japan" ], [ "Tatsuo_Kawabata", "hasGender", "male" ], [ "Tatsuo_Kawabata", "isPoliticianOf", "Japan" ], [ "Teiji_Takagi", "hasGender", "male" ], [ "Teiji_Takagi", "isCitizenOf", "Japan" ], [ "Terauchi_Masatake", "hasGender", "male" ], [ "Terauchi_Masatake", "isPoliticianOf", "Japan" ], [ "Tokyo", "isLocatedIn", "Honshu" ], [ "Tokyo", "isLocatedIn", "Japan" ], [ "Yamagata_Aritomo", "hasGender", "male" ], [ "Yamagata_Aritomo", "isPoliticianOf", "Japan" ], [ "Yasunari_Kawabata", "hasGender", "male" ], [ "Yasunari_Kawabata", "isCitizenOf", "Japan" ], [ "Yasuo_Fukuda", "hasGender", "male" ], [ "Yasuo_Fukuda", "isPoliticianOf", "Japan" ], [ "Yoichiro_Nambu", "hasGender", "male" ], [ "Yoichiro_Nambu", "isCitizenOf", "Japan" ], [ "Yoshihiko_Noda", "hasGender", "male" ], [ "Yoshihiko_Noda", "isPoliticianOf", "Japan" ], [ "Yozo_Matsushima", "hasGender", "male" ], [ "Yozo_Matsushima", "isCitizenOf", "Japan" ], [ "Yukio_Hatoyama", "hasGender", "male" ], [ "Yukio_Hatoyama", "isPoliticianOf", "Japan" ], [ "Yōichi_Masuzoe", "hasGender", "male" ], [ "Yōichi_Masuzoe", "isPoliticianOf", "Japan" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 42234, 2008_invasion_of_Anjouan 4903, Africa 5074, Algeria 33596, Angola 115632, Anjouan 71771, Arabic_language 31911, Babes_in_Toyland_(1986_film) 61394, Bahrain 32302, Benin 116682, Blue_Nile 71269, Burundi 60046, Cameroon 23323, Cape_Verde 56114, Central_African_Republic 84622, Comoros 94007, Darfur 28127, Democratic_Republic_of_the_Congo 3093, Djibouti 47476, Egypt 109712, Equatorial_Guinea 77113, Eritrea 17957, Eritrean_War_of_Independence 22794, Ethiopia 75018, Ethiopian_Civil_War 13736, Gabon 98577, Guinea-Bissau 89823, India 48811, Iraq 115938, Israel 107116, Ivory_Coast 2104, Jordan 115022, Kenya 11625, Khartoum 98240, Kuwait 108652, Lebanon 55674, Liberia 45378, Libya 92114, Lord's_Resistance_Army_insurgency 102598, Macau 116954, Madagascar 119603, Mauritania 61351, Mauritius 60035, Mohéli 99556, Morocco 123064, Mozambique 27329, Niger 34763, Nigeria 77894, Nigerian_Civil_War 58030, Nile 112418, Oman 59704, Operation_Enduring_Freedom_–_Horn_of_Africa 71114, Qatar 101967, Republic_of_the_Congo 73020, Rwanda 106280, Sahrawi_Arab_Democratic_Republic 104670, Saudi_Arabia 57564, Search_for_Common_Ground 89052, Shaba_I 21278, Sierra_Leone 59558, Somalia 69057, South_Africa 109808, South_Sudan 7209, Sudan 38615, Tunisia 94818, Uganda 76200, United_Arab_Emirates 29157, United_States 19007, United_States_Exploring_Expedition 1662, White_Nile 74099, Yemen src, edge_attr, dst 42234, happenedIn, 4903 5074, dealsWith, 29157 5074, hasOfficialLanguage, 71771 5074, isLocatedIn, 4903 33596, dealsWith, 29157 33596, isLocatedIn, 4903 115632, hasOfficialLanguage, 71771 115632, isLocatedIn, 4903 31911, isLocatedIn, 29157 61394, dealsWith, 29157 61394, hasOfficialLanguage, 71771 32302, dealsWith, 29157 32302, isLocatedIn, 4903 116682, isLocatedIn, 4903 116682, isLocatedIn, 7209 71269, dealsWith, 29157 71269, isLocatedIn, 4903 60046, dealsWith, 29157 60046, isLocatedIn, 4903 23323, dealsWith, 29157 23323, isLocatedIn, 4903 56114, hasNeighbor, 7209 56114, isLocatedIn, 4903 84622, hasOfficialLanguage, 71771 84622, isLocatedIn, 4903 94007, hasOfficialLanguage, 71771 94007, isLocatedIn, 4903 94007, isLocatedIn, 7209 28127, hasNeighbor, 7209 28127, isLocatedIn, 4903 3093, hasOfficialLanguage, 71771 3093, isLocatedIn, 4903 47476, dealsWith, 29157 47476, hasNeighbor, 7209 47476, hasOfficialLanguage, 71771 47476, isLocatedIn, 4903 109712, dealsWith, 29157 109712, isLocatedIn, 4903 77113, dealsWith, 7209 77113, hasNeighbor, 7209 77113, hasOfficialLanguage, 71771 77113, isLocatedIn, 4903 22794, dealsWith, 29157 22794, hasNeighbor, 7209 22794, isLocatedIn, 4903 13736, dealsWith, 29157 13736, isLocatedIn, 4903 98577, dealsWith, 29157 98577, isLocatedIn, 4903 89823, dealsWith, 29157 48811, dealsWith, 29157 48811, hasOfficialLanguage, 71771 115938, dealsWith, 29157 115938, hasOfficialLanguage, 71771 107116, dealsWith, 29157 107116, isLocatedIn, 4903 2104, dealsWith, 29157 2104, hasOfficialLanguage, 71771 115022, hasNeighbor, 7209 115022, isLocatedIn, 4903 11625, isLocatedIn, 4903 11625, isLocatedIn, 7209 98240, dealsWith, 29157 98240, hasOfficialLanguage, 71771 108652, dealsWith, 29157 108652, hasOfficialLanguage, 71771 55674, dealsWith, 29157 55674, isLocatedIn, 4903 45378, dealsWith, 29157 45378, hasNeighbor, 7209 45378, hasOfficialLanguage, 71771 45378, isLocatedIn, 4903 92114, happenedIn, 7209 102598, dealsWith, 7209 102598, dealsWith, 29157 116954, dealsWith, 29157 116954, isLocatedIn, 4903 119603, dealsWith, 29157 119603, hasOfficialLanguage, 71771 119603, isLocatedIn, 4903 61351, dealsWith, 29157 61351, isLocatedIn, 4903 60035, hasOfficialLanguage, 71771 60035, isLocatedIn, 4903 99556, dealsWith, 29157 99556, hasOfficialLanguage, 71771 99556, isLocatedIn, 4903 123064, dealsWith, 29157 123064, isLocatedIn, 4903 27329, dealsWith, 29157 27329, isLocatedIn, 4903 34763, dealsWith, 29157 34763, isLocatedIn, 4903 77894, happenedIn, 7209 58030, isLocatedIn, 4903 58030, isLocatedIn, 7209 112418, dealsWith, 29157 112418, hasOfficialLanguage, 71771 71114, dealsWith, 29157 71114, hasOfficialLanguage, 71771 101967, dealsWith, 29157 101967, isLocatedIn, 4903 73020, dealsWith, 29157 73020, isLocatedIn, 4903 106280, hasOfficialLanguage, 71771 106280, isLocatedIn, 4903 104670, dealsWith, 29157 104670, hasOfficialLanguage, 71771 57564, isLocatedIn, 7209 57564, isLocatedIn, 29157 21278, dealsWith, 29157 21278, isLocatedIn, 4903 59558, hasOfficialLanguage, 71771 59558, isLocatedIn, 4903 69057, dealsWith, 29157 69057, isLocatedIn, 4903 109808, dealsWith, 7209 109808, isLocatedIn, 4903 7209, dealsWith, 47476 7209, dealsWith, 22794 7209, dealsWith, 89823 7209, dealsWith, 102598 7209, dealsWith, 104670 7209, dealsWith, 76200 7209, hasCapital, 11625 7209, hasNeighbor, 56114 7209, hasNeighbor, 28127 7209, hasNeighbor, 47476 7209, hasNeighbor, 77113 7209, hasNeighbor, 22794 7209, hasNeighbor, 115022 7209, hasNeighbor, 45378 7209, hasNeighbor, 94818 7209, hasOfficialLanguage, 71771 7209, isLocatedIn, 4903 7209, participatedIn, 42234 7209, participatedIn, 17957 7209, participatedIn, 75018 7209, participatedIn, 92114 7209, participatedIn, 77894 7209, participatedIn, 59704 7209, participatedIn, 89052 38615, dealsWith, 29157 38615, hasOfficialLanguage, 71771 38615, isLocatedIn, 4903 94818, hasNeighbor, 7209 94818, isLocatedIn, 4903 76200, dealsWith, 29157 76200, hasOfficialLanguage, 71771 29157, participatedIn, 17957 29157, participatedIn, 75018 29157, participatedIn, 92114 29157, participatedIn, 77894 29157, participatedIn, 59704 29157, participatedIn, 89052 29157, participatedIn, 19007 19007, happenedIn, 4903 1662, isLocatedIn, 4903 1662, isLocatedIn, 7209 74099, hasOfficialLanguage, 71771 74099, isLocatedIn, 4903 Question: In what context are Babes_in_Toyland_(1986_film) and Darfur connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Babes_in_Toyland_(1986_film)", "Darfur" ], "valid_edges": [ [ "2008_invasion_of_Anjouan", "happenedIn", "Africa" ], [ "Algeria", "dealsWith", "United_States" ], [ "Algeria", "hasOfficialLanguage", "Arabic_language" ], [ "Algeria", "isLocatedIn", "Africa" ], [ "Angola", "dealsWith", "United_States" ], [ "Angola", "isLocatedIn", "Africa" ], [ "Anjouan", "hasOfficialLanguage", "Arabic_language" ], [ "Anjouan", "isLocatedIn", "Africa" ], [ "Babes_in_Toyland_(1986_film)", "isLocatedIn", "United_States" ], [ "Bahrain", "dealsWith", "United_States" ], [ "Bahrain", "hasOfficialLanguage", "Arabic_language" ], [ "Benin", "dealsWith", "United_States" ], [ "Benin", "isLocatedIn", "Africa" ], [ "Blue_Nile", "isLocatedIn", "Africa" ], [ "Blue_Nile", "isLocatedIn", "Sudan" ], [ "Burundi", "dealsWith", "United_States" ], [ "Burundi", "isLocatedIn", "Africa" ], [ "Cameroon", "dealsWith", "United_States" ], [ "Cameroon", "isLocatedIn", "Africa" ], [ "Cape_Verde", "dealsWith", "United_States" ], [ "Cape_Verde", "isLocatedIn", "Africa" ], [ "Central_African_Republic", "hasNeighbor", "Sudan" ], [ "Central_African_Republic", "isLocatedIn", "Africa" ], [ "Comoros", "hasOfficialLanguage", "Arabic_language" ], [ "Comoros", "isLocatedIn", "Africa" ], [ "Darfur", "hasOfficialLanguage", "Arabic_language" ], [ "Darfur", "isLocatedIn", "Africa" ], [ "Darfur", "isLocatedIn", "Sudan" ], [ "Democratic_Republic_of_the_Congo", "hasNeighbor", "Sudan" ], [ "Democratic_Republic_of_the_Congo", "isLocatedIn", "Africa" ], [ "Djibouti", "hasOfficialLanguage", "Arabic_language" ], [ "Djibouti", "isLocatedIn", "Africa" ], [ "Egypt", "dealsWith", "United_States" ], [ "Egypt", "hasNeighbor", "Sudan" ], [ "Egypt", "hasOfficialLanguage", "Arabic_language" ], [ "Egypt", "isLocatedIn", "Africa" ], [ "Equatorial_Guinea", "dealsWith", "United_States" ], [ "Equatorial_Guinea", "isLocatedIn", "Africa" ], [ "Eritrea", "dealsWith", "Sudan" ], [ "Eritrea", "hasNeighbor", "Sudan" ], [ "Eritrea", "hasOfficialLanguage", "Arabic_language" ], [ "Eritrea", "isLocatedIn", "Africa" ], [ "Ethiopia", "dealsWith", "United_States" ], [ "Ethiopia", "hasNeighbor", "Sudan" ], [ "Ethiopia", "isLocatedIn", "Africa" ], [ "Gabon", "dealsWith", "United_States" ], [ "Gabon", "isLocatedIn", "Africa" ], [ "Guinea-Bissau", "dealsWith", "United_States" ], [ "Guinea-Bissau", "isLocatedIn", "Africa" ], [ "India", "dealsWith", "United_States" ], [ "Iraq", "dealsWith", "United_States" ], [ "Iraq", "hasOfficialLanguage", "Arabic_language" ], [ "Israel", "dealsWith", "United_States" ], [ "Israel", "hasOfficialLanguage", "Arabic_language" ], [ "Ivory_Coast", "dealsWith", "United_States" ], [ "Ivory_Coast", "isLocatedIn", "Africa" ], [ "Jordan", "dealsWith", "United_States" ], [ "Jordan", "hasOfficialLanguage", "Arabic_language" ], [ "Kenya", "hasNeighbor", "Sudan" ], [ "Kenya", "isLocatedIn", "Africa" ], [ "Khartoum", "isLocatedIn", "Africa" ], [ "Khartoum", "isLocatedIn", "Sudan" ], [ "Kuwait", "dealsWith", "United_States" ], [ "Kuwait", "hasOfficialLanguage", "Arabic_language" ], [ "Lebanon", "dealsWith", "United_States" ], [ "Lebanon", "hasOfficialLanguage", "Arabic_language" ], [ "Liberia", "dealsWith", "United_States" ], [ "Liberia", "isLocatedIn", "Africa" ], [ "Libya", "dealsWith", "United_States" ], [ "Libya", "hasNeighbor", "Sudan" ], [ "Libya", "hasOfficialLanguage", "Arabic_language" ], [ "Libya", "isLocatedIn", "Africa" ], [ "Lord's_Resistance_Army_insurgency", "happenedIn", "Sudan" ], [ "Macau", "dealsWith", "Sudan" ], [ "Macau", "dealsWith", "United_States" ], [ "Madagascar", "dealsWith", "United_States" ], [ "Madagascar", "isLocatedIn", "Africa" ], [ "Mauritania", "dealsWith", "United_States" ], [ "Mauritania", "hasOfficialLanguage", "Arabic_language" ], [ "Mauritania", "isLocatedIn", "Africa" ], [ "Mauritius", "dealsWith", "United_States" ], [ "Mauritius", "isLocatedIn", "Africa" ], [ "Mohéli", "hasOfficialLanguage", "Arabic_language" ], [ "Mohéli", "isLocatedIn", "Africa" ], [ "Morocco", "dealsWith", "United_States" ], [ "Morocco", "hasOfficialLanguage", "Arabic_language" ], [ "Morocco", "isLocatedIn", "Africa" ], [ "Mozambique", "dealsWith", "United_States" ], [ "Mozambique", "isLocatedIn", "Africa" ], [ "Niger", "dealsWith", "United_States" ], [ "Niger", "isLocatedIn", "Africa" ], [ "Nigeria", "dealsWith", "United_States" ], [ "Nigeria", "isLocatedIn", "Africa" ], [ "Nigerian_Civil_War", "happenedIn", "Sudan" ], [ "Nile", "isLocatedIn", "Africa" ], [ "Nile", "isLocatedIn", "Sudan" ], [ "Oman", "dealsWith", "United_States" ], [ "Oman", "hasOfficialLanguage", "Arabic_language" ], [ "Qatar", "dealsWith", "United_States" ], [ "Qatar", "hasOfficialLanguage", "Arabic_language" ], [ "Republic_of_the_Congo", "dealsWith", "United_States" ], [ "Republic_of_the_Congo", "isLocatedIn", "Africa" ], [ "Rwanda", "dealsWith", "United_States" ], [ "Rwanda", "isLocatedIn", "Africa" ], [ "Sahrawi_Arab_Democratic_Republic", "hasOfficialLanguage", "Arabic_language" ], [ "Sahrawi_Arab_Democratic_Republic", "isLocatedIn", "Africa" ], [ "Saudi_Arabia", "dealsWith", "United_States" ], [ "Saudi_Arabia", "hasOfficialLanguage", "Arabic_language" ], [ "Search_for_Common_Ground", "isLocatedIn", "Sudan" ], [ "Search_for_Common_Ground", "isLocatedIn", "United_States" ], [ "Sierra_Leone", "dealsWith", "United_States" ], [ "Sierra_Leone", "isLocatedIn", "Africa" ], [ "Somalia", "hasOfficialLanguage", "Arabic_language" ], [ "Somalia", "isLocatedIn", "Africa" ], [ "South_Africa", "dealsWith", "United_States" ], [ "South_Africa", "isLocatedIn", "Africa" ], [ "South_Sudan", "dealsWith", "Sudan" ], [ "South_Sudan", "isLocatedIn", "Africa" ], [ "Sudan", "dealsWith", "Egypt" ], [ "Sudan", "dealsWith", "Ethiopia" ], [ "Sudan", "dealsWith", "India" ], [ "Sudan", "dealsWith", "Macau" ], [ "Sudan", "dealsWith", "Saudi_Arabia" ], [ "Sudan", "dealsWith", "United_Arab_Emirates" ], [ "Sudan", "hasCapital", "Khartoum" ], [ "Sudan", "hasNeighbor", "Central_African_Republic" ], [ "Sudan", "hasNeighbor", "Democratic_Republic_of_the_Congo" ], [ "Sudan", "hasNeighbor", "Egypt" ], [ "Sudan", "hasNeighbor", "Eritrea" ], [ "Sudan", "hasNeighbor", "Ethiopia" ], [ "Sudan", "hasNeighbor", "Kenya" ], [ "Sudan", "hasNeighbor", "Libya" ], [ "Sudan", "hasNeighbor", "Uganda" ], [ "Sudan", "hasOfficialLanguage", "Arabic_language" ], [ "Sudan", "isLocatedIn", "Africa" ], [ "Sudan", "participatedIn", "2008_invasion_of_Anjouan" ], [ "Sudan", "participatedIn", "Eritrean_War_of_Independence" ], [ "Sudan", "participatedIn", "Ethiopian_Civil_War" ], [ "Sudan", "participatedIn", "Lord's_Resistance_Army_insurgency" ], [ "Sudan", "participatedIn", "Nigerian_Civil_War" ], [ "Sudan", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "Sudan", "participatedIn", "Shaba_I" ], [ "Tunisia", "dealsWith", "United_States" ], [ "Tunisia", "hasOfficialLanguage", "Arabic_language" ], [ "Tunisia", "isLocatedIn", "Africa" ], [ "Uganda", "hasNeighbor", "Sudan" ], [ "Uganda", "isLocatedIn", "Africa" ], [ "United_Arab_Emirates", "dealsWith", "United_States" ], [ "United_Arab_Emirates", "hasOfficialLanguage", "Arabic_language" ], [ "United_States", "participatedIn", "Eritrean_War_of_Independence" ], [ "United_States", "participatedIn", "Ethiopian_Civil_War" ], [ "United_States", "participatedIn", "Lord's_Resistance_Army_insurgency" ], [ "United_States", "participatedIn", "Nigerian_Civil_War" ], [ "United_States", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "United_States", "participatedIn", "Shaba_I" ], [ "United_States", "participatedIn", "United_States_Exploring_Expedition" ], [ "United_States_Exploring_Expedition", "happenedIn", "Africa" ], [ "White_Nile", "isLocatedIn", "Africa" ], [ "White_Nile", "isLocatedIn", "Sudan" ], [ "Yemen", "hasOfficialLanguage", "Arabic_language" ], [ "Yemen", "isLocatedIn", "Africa" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 9789, Asia 69278, Eskişehirspor 107780, Ilkhanate 68734, Iran 117037, Isfahan_International_Airport 3433, Mongol_invasions_of_Georgia 17944, Selçuk_Alibaz 81700, Tabriz 48264, Tabriz_International_Airport 53538, Turkey src, edge_attr, dst 69278, owns, 53538 107780, hasCapital, 81700 107780, isLocatedIn, 9789 107780, isLocatedIn, 68734 107780, participatedIn, 3433 68734, dealsWith, 53538 68734, hasNeighbor, 53538 68734, isLocatedIn, 9789 117037, isConnectedTo, 48264 117037, isLocatedIn, 68734 3433, happenedIn, 68734 17944, isAffiliatedTo, 69278 17944, playsFor, 69278 81700, isLocatedIn, 68734 48264, isConnectedTo, 117037 48264, isLocatedIn, 68734 48264, isLocatedIn, 81700 53538, dealsWith, 68734 53538, hasNeighbor, 68734 Question: For what reason are Selçuk_Alibaz and Tabriz associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Selçuk_Alibaz", "Tabriz" ], "valid_edges": [ [ "Eskişehirspor", "owns", "Turkey" ], [ "Ilkhanate", "hasCapital", "Tabriz" ], [ "Ilkhanate", "isLocatedIn", "Asia" ], [ "Ilkhanate", "isLocatedIn", "Iran" ], [ "Ilkhanate", "participatedIn", "Mongol_invasions_of_Georgia" ], [ "Iran", "dealsWith", "Turkey" ], [ "Iran", "hasNeighbor", "Turkey" ], [ "Iran", "isLocatedIn", "Asia" ], [ "Isfahan_International_Airport", "isConnectedTo", "Tabriz_International_Airport" ], [ "Isfahan_International_Airport", "isLocatedIn", "Iran" ], [ "Mongol_invasions_of_Georgia", "happenedIn", "Iran" ], [ "Selçuk_Alibaz", "isAffiliatedTo", "Eskişehirspor" ], [ "Selçuk_Alibaz", "playsFor", "Eskişehirspor" ], [ "Tabriz", "isLocatedIn", "Iran" ], [ "Tabriz_International_Airport", "isConnectedTo", "Isfahan_International_Airport" ], [ "Tabriz_International_Airport", "isLocatedIn", "Iran" ], [ "Tabriz_International_Airport", "isLocatedIn", "Tabriz" ], [ "Turkey", "dealsWith", "Iran" ], [ "Turkey", "hasNeighbor", "Iran" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 11130, Andrei_Lukanchenkov 4361, Robert_Vaden 118104, male src, edge_attr, dst 11130, hasGender, 118104 4361, hasGender, 118104 Question: In what context are Andrei_Lukanchenkov and Robert_Vaden connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Andrei_Lukanchenkov", "Robert_Vaden" ], "valid_edges": [ [ "Andrei_Lukanchenkov", "hasGender", "male" ], [ "Robert_Vaden", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 22933, Arnold_Schwarzenegger 109414, Avaya 10665, Bad_Oeynhausen 78819, California 88946, Capcom 9333, Desmond_Harrington 112822, Detmold 16543, Detmold_Government_Region 111806, Espelkamp 61995, Germany 70883, Gütersloh_Rural_District 76454, Haim_Saban 67532, Halle_(Westfalen) 59369, Hostage_(film) 98127, How_Few_Remain 21583, Höxter_Rural_District 11685, Jay_Hernandez 48288, Jim_Belushi 23148, Jonathan_Rhys_Meyers 79720, Josh_Hartnett 5667, Karyn_Kusama 16298, Lena_Headey 110262, Los_Angeles 43518, Malibu,_California 64211, Minden 63269, Minden-Lübbecke_Rural_District 119516, Mirari_Films 120481, Nexon_Co._Ltd. 36464, North_Rhine-Westphalia 32116, Operation_Plunder 1019, Paderborn 75722, Paderborn_Rural_District 67223, Pandemic_Studios 71669, Rade_Šerbedžija 117411, Roland_Emmerich 77522, San_Francisco 76022, San_Mateo_County,_California 69246, Santa_Clara,_California 102239, Swapan_Chattopadhyay 66706, Terence_Tao 29157, United_States 12623, University_of_California,_Santa_Barbara 101107, University_of_Southern_California 62470, West_Hollywood,_California 87799, Westmont_College src, edge_attr, dst 22933, isPoliticianOf, 78819 22933, isPoliticianOf, 29157 22933, livesIn, 78819 109414, isLocatedIn, 78819 109414, isLocatedIn, 29157 10665, isLocatedIn, 16543 10665, isLocatedIn, 63269 10665, isLocatedIn, 36464 78819, hasCapital, 110262 78819, isLocatedIn, 29157 88946, isLocatedIn, 78819 88946, isLocatedIn, 29157 9333, livesIn, 78819 9333, livesIn, 29157 112822, isLocatedIn, 36464 16543, isLocatedIn, 112822 16543, isLocatedIn, 61995 16543, isLocatedIn, 36464 111806, isLocatedIn, 16543 111806, isLocatedIn, 63269 111806, isLocatedIn, 36464 61995, dealsWith, 29157 70883, isLocatedIn, 16543 70883, isLocatedIn, 36464 76454, isCitizenOf, 29157 76454, livesIn, 78819 67532, isLocatedIn, 16543 67532, isLocatedIn, 36464 59369, isLocatedIn, 78819 59369, isLocatedIn, 29157 98127, happenedIn, 78819 98127, isLocatedIn, 29157 21583, isLocatedIn, 16543 21583, isLocatedIn, 36464 11685, livesIn, 78819 11685, livesIn, 29157 48288, isCitizenOf, 29157 48288, livesIn, 78819 23148, livesIn, 78819 23148, livesIn, 29157 79720, livesIn, 78819 79720, livesIn, 29157 5667, isCitizenOf, 29157 5667, livesIn, 78819 16298, livesIn, 78819 16298, livesIn, 29157 110262, isLocatedIn, 78819 110262, isLocatedIn, 29157 43518, isLocatedIn, 78819 43518, isLocatedIn, 29157 64211, isLocatedIn, 36464 63269, hasCapital, 64211 63269, isLocatedIn, 16543 63269, isLocatedIn, 64211 63269, isLocatedIn, 36464 119516, isLocatedIn, 78819 119516, isLocatedIn, 29157 120481, isLocatedIn, 78819 120481, isLocatedIn, 29157 36464, isLocatedIn, 61995 32116, happenedIn, 36464 1019, isLocatedIn, 16543 1019, isLocatedIn, 36464 75722, isLocatedIn, 16543 75722, isLocatedIn, 36464 67223, isLocatedIn, 78819 67223, isLocatedIn, 29157 71669, livesIn, 78819 71669, livesIn, 29157 117411, livesIn, 78819 117411, livesIn, 29157 77522, isLocatedIn, 78819 77522, isLocatedIn, 29157 76022, isLocatedIn, 78819 76022, isLocatedIn, 29157 69246, isLocatedIn, 78819 69246, isLocatedIn, 29157 102239, isCitizenOf, 29157 102239, livesIn, 78819 102239, livesIn, 29157 66706, isCitizenOf, 29157 66706, livesIn, 78819 29157, dealsWith, 61995 29157, participatedIn, 98127 29157, participatedIn, 32116 12623, isLocatedIn, 78819 12623, isLocatedIn, 29157 101107, isLocatedIn, 78819 101107, isLocatedIn, 29157 62470, isLocatedIn, 78819 62470, isLocatedIn, 29157 87799, isLocatedIn, 78819 87799, isLocatedIn, 29157 Question: In what context are Espelkamp and Westmont_College connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Espelkamp", "Westmont_College" ], "valid_edges": [ [ "Arnold_Schwarzenegger", "isPoliticianOf", "California" ], [ "Arnold_Schwarzenegger", "isPoliticianOf", "United_States" ], [ "Arnold_Schwarzenegger", "livesIn", "California" ], [ "Avaya", "isLocatedIn", "California" ], [ "Avaya", "isLocatedIn", "United_States" ], [ "Bad_Oeynhausen", "isLocatedIn", "Detmold_Government_Region" ], [ "Bad_Oeynhausen", "isLocatedIn", "Minden-Lübbecke_Rural_District" ], [ "Bad_Oeynhausen", "isLocatedIn", "North_Rhine-Westphalia" ], [ "California", "hasCapital", "Los_Angeles" ], [ "California", "isLocatedIn", "United_States" ], [ "Capcom", "isLocatedIn", "California" ], [ "Capcom", "isLocatedIn", "United_States" ], [ "Desmond_Harrington", "livesIn", "California" ], [ "Desmond_Harrington", "livesIn", "United_States" ], [ "Detmold", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Detmold_Government_Region", "isLocatedIn", "Detmold" ], [ "Detmold_Government_Region", "isLocatedIn", "Germany" ], [ "Detmold_Government_Region", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Espelkamp", "isLocatedIn", "Detmold_Government_Region" ], [ "Espelkamp", "isLocatedIn", "Minden-Lübbecke_Rural_District" ], [ "Espelkamp", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Germany", "dealsWith", "United_States" ], [ "Gütersloh_Rural_District", "isLocatedIn", "Detmold_Government_Region" ], [ "Gütersloh_Rural_District", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Haim_Saban", "isCitizenOf", "United_States" ], [ "Haim_Saban", "livesIn", "California" ], [ "Halle_(Westfalen)", "isLocatedIn", "Detmold_Government_Region" ], [ "Halle_(Westfalen)", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Hostage_(film)", "isLocatedIn", "California" ], [ "Hostage_(film)", "isLocatedIn", "United_States" ], [ "How_Few_Remain", "happenedIn", "California" ], [ "How_Few_Remain", "isLocatedIn", "United_States" ], [ "Höxter_Rural_District", "isLocatedIn", "Detmold_Government_Region" ], [ "Höxter_Rural_District", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Jay_Hernandez", "livesIn", "California" ], [ "Jay_Hernandez", "livesIn", "United_States" ], [ "Jim_Belushi", "isCitizenOf", "United_States" ], [ "Jim_Belushi", "livesIn", "California" ], [ "Jonathan_Rhys_Meyers", "livesIn", "California" ], [ "Jonathan_Rhys_Meyers", "livesIn", "United_States" ], [ "Josh_Hartnett", "livesIn", "California" ], [ "Josh_Hartnett", "livesIn", "United_States" ], [ "Karyn_Kusama", "isCitizenOf", "United_States" ], [ "Karyn_Kusama", "livesIn", "California" ], [ "Lena_Headey", "livesIn", "California" ], [ "Lena_Headey", "livesIn", "United_States" ], [ "Los_Angeles", "isLocatedIn", "California" ], [ "Los_Angeles", "isLocatedIn", "United_States" ], [ "Malibu,_California", "isLocatedIn", "California" ], [ "Malibu,_California", "isLocatedIn", "United_States" ], [ "Minden", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Minden-Lübbecke_Rural_District", "hasCapital", "Minden" ], [ "Minden-Lübbecke_Rural_District", "isLocatedIn", "Detmold_Government_Region" ], [ "Minden-Lübbecke_Rural_District", "isLocatedIn", "Minden" ], [ "Minden-Lübbecke_Rural_District", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Mirari_Films", "isLocatedIn", "California" ], [ "Mirari_Films", "isLocatedIn", "United_States" ], [ "Nexon_Co._Ltd.", "isLocatedIn", "California" ], [ "Nexon_Co._Ltd.", "isLocatedIn", "United_States" ], [ "North_Rhine-Westphalia", "isLocatedIn", "Germany" ], [ "Operation_Plunder", "happenedIn", "North_Rhine-Westphalia" ], [ "Paderborn", "isLocatedIn", "Detmold_Government_Region" ], [ "Paderborn", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Paderborn_Rural_District", "isLocatedIn", "Detmold_Government_Region" ], [ "Paderborn_Rural_District", "isLocatedIn", "North_Rhine-Westphalia" ], [ "Pandemic_Studios", "isLocatedIn", "California" ], [ "Pandemic_Studios", "isLocatedIn", "United_States" ], [ "Rade_Šerbedžija", "livesIn", "California" ], [ "Rade_Šerbedžija", "livesIn", "United_States" ], [ "Roland_Emmerich", "livesIn", "California" ], [ "Roland_Emmerich", "livesIn", "United_States" ], [ "San_Francisco", "isLocatedIn", "California" ], [ "San_Francisco", "isLocatedIn", "United_States" ], [ "San_Mateo_County,_California", "isLocatedIn", "California" ], [ "San_Mateo_County,_California", "isLocatedIn", "United_States" ], [ "Santa_Clara,_California", "isLocatedIn", "California" ], [ "Santa_Clara,_California", "isLocatedIn", "United_States" ], [ "Swapan_Chattopadhyay", "isCitizenOf", "United_States" ], [ "Swapan_Chattopadhyay", "livesIn", "California" ], [ "Swapan_Chattopadhyay", "livesIn", "United_States" ], [ "Terence_Tao", "isCitizenOf", "United_States" ], [ "Terence_Tao", "livesIn", "California" ], [ "United_States", "dealsWith", "Germany" ], [ "United_States", "participatedIn", "How_Few_Remain" ], [ "United_States", "participatedIn", "Operation_Plunder" ], [ "University_of_California,_Santa_Barbara", "isLocatedIn", "California" ], [ "University_of_California,_Santa_Barbara", "isLocatedIn", "United_States" ], [ "University_of_Southern_California", "isLocatedIn", "California" ], [ "University_of_Southern_California", "isLocatedIn", "United_States" ], [ "West_Hollywood,_California", "isLocatedIn", "California" ], [ "West_Hollywood,_California", "isLocatedIn", "United_States" ], [ "Westmont_College", "isLocatedIn", "California" ], [ "Westmont_College", "isLocatedIn", "United_States" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 118664, Bank_of_Montreal 108086, Canada 61995, Germany 78433, Hans_Heilbronn 82603, Hesse 85983, KPMG 30685, Kurt_Danziger 97075, Prvoslav_Vujčić 82909, RGIS_Inventory_Specialists 28760, Toronto 74240, University_of_Toronto 51841, Vöhl 21828, York_University src, edge_attr, dst 118664, isLocatedIn, 108086 118664, isLocatedIn, 28760 108086, dealsWith, 61995 108086, hasCapital, 28760 78433, diedIn, 28760 78433, isCitizenOf, 108086 82603, isLocatedIn, 61995 85983, isLocatedIn, 108086 85983, isLocatedIn, 28760 30685, livesIn, 108086 30685, livesIn, 28760 97075, livesIn, 108086 97075, livesIn, 28760 82909, isLocatedIn, 108086 82909, isLocatedIn, 28760 28760, isLocatedIn, 108086 74240, isLocatedIn, 108086 74240, isLocatedIn, 28760 51841, isLocatedIn, 82603 21828, isLocatedIn, 108086 21828, isLocatedIn, 28760 Question: For what reason are Prvoslav_Vujčić and Vöhl associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Prvoslav_Vujčić", "Vöhl" ], "valid_edges": [ [ "Bank_of_Montreal", "isLocatedIn", "Canada" ], [ "Bank_of_Montreal", "isLocatedIn", "Toronto" ], [ "Canada", "dealsWith", "Germany" ], [ "Canada", "hasCapital", "Toronto" ], [ "Hans_Heilbronn", "diedIn", "Toronto" ], [ "Hans_Heilbronn", "isCitizenOf", "Canada" ], [ "Hesse", "isLocatedIn", "Germany" ], [ "KPMG", "isLocatedIn", "Canada" ], [ "KPMG", "isLocatedIn", "Toronto" ], [ "Kurt_Danziger", "livesIn", "Canada" ], [ "Kurt_Danziger", "livesIn", "Toronto" ], [ "Prvoslav_Vujčić", "livesIn", "Canada" ], [ "Prvoslav_Vujčić", "livesIn", "Toronto" ], [ "RGIS_Inventory_Specialists", "isLocatedIn", "Canada" ], [ "RGIS_Inventory_Specialists", "isLocatedIn", "Toronto" ], [ "Toronto", "isLocatedIn", "Canada" ], [ "University_of_Toronto", "isLocatedIn", "Canada" ], [ "University_of_Toronto", "isLocatedIn", "Toronto" ], [ "Vöhl", "isLocatedIn", "Hesse" ], [ "York_University", "isLocatedIn", "Canada" ], [ "York_University", "isLocatedIn", "Toronto" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 59095, Gmina_Skórzec 44134, Józef_Gosławski_(sculptor) 69768, Mazowieckie 95607, Siedlce_County 75579, Warsaw src, edge_attr, dst 59095, isLocatedIn, 95607 44134, diedIn, 75579 69768, hasCapital, 75579 95607, isLocatedIn, 69768 Question: In what context are Gmina_Skórzec and Józef_Gosławski_(sculptor) connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gmina_Skórzec", "Józef_Gosławski_(sculptor)" ], "valid_edges": [ [ "Gmina_Skórzec", "isLocatedIn", "Siedlce_County" ], [ "Józef_Gosławski_(sculptor)", "diedIn", "Warsaw" ], [ "Mazowieckie", "hasCapital", "Warsaw" ], [ "Siedlce_County", "isLocatedIn", "Mazowieckie" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 14937, Benjamin_Genghini 111744, Europe 94139, Malta 3729, Malta_(island) 91063, Mdina 52930, Menton 108807, Valletta src, edge_attr, dst 14937, wasBornIn, 52930 94139, hasCapital, 108807 94139, isLocatedIn, 111744 3729, isLocatedIn, 94139 91063, isLocatedIn, 94139 91063, isLocatedIn, 3729 52930, isLocatedIn, 111744 108807, isLocatedIn, 94139 108807, isLocatedIn, 3729 Question: For what reason are Benjamin_Genghini and Mdina associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Benjamin_Genghini", "Mdina" ], "valid_edges": [ [ "Benjamin_Genghini", "wasBornIn", "Menton" ], [ "Malta", "hasCapital", "Valletta" ], [ "Malta", "isLocatedIn", "Europe" ], [ "Malta_(island)", "isLocatedIn", "Malta" ], [ "Mdina", "isLocatedIn", "Malta" ], [ "Mdina", "isLocatedIn", "Malta_(island)" ], [ "Menton", "isLocatedIn", "Europe" ], [ "Valletta", "isLocatedIn", "Malta" ], [ "Valletta", "isLocatedIn", "Malta_(island)" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 40297, Ajax_Cape_Town_F.C. 72745, Battle_of_Guilin–Liuzhou 42616, Dipsy_Selolwane 17872, Saint_Louis_University 29157, United_States src, edge_attr, dst 42616, isAffiliatedTo, 40297 42616, isAffiliatedTo, 17872 42616, playsFor, 40297 17872, isLocatedIn, 29157 29157, participatedIn, 72745 Question: How are Ajax_Cape_Town_F.C. and Battle_of_Guilin–Liuzhou related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Ajax_Cape_Town_F.C.", "Battle_of_Guilin–Liuzhou" ], "valid_edges": [ [ "Dipsy_Selolwane", "isAffiliatedTo", "Ajax_Cape_Town_F.C." ], [ "Dipsy_Selolwane", "isAffiliatedTo", "Saint_Louis_University" ], [ "Dipsy_Selolwane", "playsFor", "Ajax_Cape_Town_F.C." ], [ "Saint_Louis_University", "isLocatedIn", "United_States" ], [ "United_States", "participatedIn", "Battle_of_Guilin–Liuzhou" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 83988, Alexis_Weisheim 5788, Ashlee_Jones 22686, Aveley_F.C. 15614, Billericay_Town_F.C. 93354, Burton_Albion_F.C. 24192, Cambridge_United_F.C. 77990, Craig_Braham-Barrett 121273, Crawley_Town_F.C. 54316, Daniel_Francis_(footballer) 15792, Dave_Hogan 120187, Dulwich_Hamlet_F.C. 119430, Farnborough_F.C. 59630, Grays_Athletic_F.C. 66802, Harlow_Town_F.C. 88550, Kettering_Town_F.C. 231, Lloyd_Opara 45345, London 63275, Maidenhead_United_F.C. 32209, Michael_Black_(footballer) 53095, Milton_Keynes_Dons_F.C. 8286, Mustafa_Tiryaki 111769, Mustapha_Dumbuya 115099, Nathan_Smith_(footballer) 99367, Nick_McKoy 43426, Peterborough_United_F.C. 60266, Potters_Bar_Town_F.C. 36947, Ryan_Edgar 100368, Serge_Makofo 15599, Tranmere_Rovers_F.C. 118104, male src, edge_attr, dst 83988, hasGender, 118104 5788, hasGender, 118104 5788, playsFor, 15614 5788, playsFor, 121273 5788, playsFor, 60266 77990, hasGender, 118104 77990, playsFor, 22686 77990, playsFor, 120187 77990, playsFor, 119430 77990, playsFor, 59630 77990, playsFor, 88550 77990, playsFor, 43426 77990, playsFor, 60266 54316, hasGender, 118104 54316, isAffiliatedTo, 22686 54316, isAffiliatedTo, 120187 54316, isAffiliatedTo, 60266 54316, playsFor, 22686 54316, playsFor, 120187 54316, playsFor, 60266 15792, hasGender, 118104 15792, playsFor, 22686 15792, playsFor, 66802 15792, playsFor, 60266 231, hasGender, 118104 231, isAffiliatedTo, 93354 231, isAffiliatedTo, 24192 231, isAffiliatedTo, 59630 231, isAffiliatedTo, 66802 231, isAffiliatedTo, 43426 231, isAffiliatedTo, 60266 231, playsFor, 93354 231, playsFor, 24192 231, playsFor, 59630 231, playsFor, 66802 231, playsFor, 43426 231, playsFor, 60266 32209, hasGender, 118104 32209, isAffiliatedTo, 15614 32209, isAffiliatedTo, 60266 32209, isAffiliatedTo, 15599 32209, playsFor, 15614 32209, playsFor, 60266 32209, playsFor, 15599 8286, hasGender, 118104 8286, playsFor, 24192 8286, playsFor, 63275 8286, playsFor, 60266 8286, playsFor, 15599 8286, wasBornIn, 45345 111769, hasGender, 118104 111769, isAffiliatedTo, 121273 111769, playsFor, 121273 111769, playsFor, 63275 111769, playsFor, 60266 115099, hasGender, 118104 115099, isAffiliatedTo, 60266 115099, playsFor, 60266 115099, wasBornIn, 45345 99367, hasGender, 118104 99367, isAffiliatedTo, 59630 99367, isAffiliatedTo, 88550 99367, isAffiliatedTo, 53095 99367, isAffiliatedTo, 60266 99367, playsFor, 59630 99367, playsFor, 88550 99367, playsFor, 53095 99367, playsFor, 60266 36947, hasGender, 118104 36947, isAffiliatedTo, 22686 36947, isAffiliatedTo, 119430 36947, isAffiliatedTo, 53095 36947, isAffiliatedTo, 60266 36947, playsFor, 22686 36947, playsFor, 119430 36947, playsFor, 53095 36947, playsFor, 60266 100368, hasGender, 118104 100368, playsFor, 93354 100368, playsFor, 59630 100368, playsFor, 88550 100368, playsFor, 63275 100368, playsFor, 53095 100368, playsFor, 60266 Question: In what context are Alexis_Weisheim and Potters_Bar_Town_F.C. connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Alexis_Weisheim", "Potters_Bar_Town_F.C." ], "valid_edges": [ [ "Alexis_Weisheim", "hasGender", "male" ], [ "Ashlee_Jones", "hasGender", "male" ], [ "Ashlee_Jones", "playsFor", "Billericay_Town_F.C." ], [ "Ashlee_Jones", "playsFor", "Crawley_Town_F.C." ], [ "Ashlee_Jones", "playsFor", "Potters_Bar_Town_F.C." ], [ "Craig_Braham-Barrett", "hasGender", "male" ], [ "Craig_Braham-Barrett", "playsFor", "Aveley_F.C." ], [ "Craig_Braham-Barrett", "playsFor", "Dulwich_Hamlet_F.C." ], [ "Craig_Braham-Barrett", "playsFor", "Farnborough_F.C." ], [ "Craig_Braham-Barrett", "playsFor", "Grays_Athletic_F.C." ], [ "Craig_Braham-Barrett", "playsFor", "Kettering_Town_F.C." ], [ "Craig_Braham-Barrett", "playsFor", "Peterborough_United_F.C." ], [ "Craig_Braham-Barrett", "playsFor", "Potters_Bar_Town_F.C." ], [ "Daniel_Francis_(footballer)", "hasGender", "male" ], [ "Daniel_Francis_(footballer)", "isAffiliatedTo", "Aveley_F.C." ], [ "Daniel_Francis_(footballer)", "isAffiliatedTo", "Dulwich_Hamlet_F.C." ], [ "Daniel_Francis_(footballer)", "isAffiliatedTo", "Potters_Bar_Town_F.C." ], [ "Daniel_Francis_(footballer)", "playsFor", "Aveley_F.C." ], [ "Daniel_Francis_(footballer)", "playsFor", "Dulwich_Hamlet_F.C." ], [ "Daniel_Francis_(footballer)", "playsFor", "Potters_Bar_Town_F.C." ], [ "Dave_Hogan", "hasGender", "male" ], [ "Dave_Hogan", "playsFor", "Aveley_F.C." ], [ "Dave_Hogan", "playsFor", "Harlow_Town_F.C." ], [ "Dave_Hogan", "playsFor", "Potters_Bar_Town_F.C." ], [ "Lloyd_Opara", "hasGender", "male" ], [ "Lloyd_Opara", "isAffiliatedTo", "Burton_Albion_F.C." ], [ "Lloyd_Opara", "isAffiliatedTo", "Cambridge_United_F.C." ], [ "Lloyd_Opara", "isAffiliatedTo", "Grays_Athletic_F.C." ], [ "Lloyd_Opara", "isAffiliatedTo", "Harlow_Town_F.C." ], [ "Lloyd_Opara", "isAffiliatedTo", "Peterborough_United_F.C." ], [ "Lloyd_Opara", "isAffiliatedTo", "Potters_Bar_Town_F.C." ], [ "Lloyd_Opara", "playsFor", "Burton_Albion_F.C." ], [ "Lloyd_Opara", "playsFor", "Cambridge_United_F.C." ], [ "Lloyd_Opara", "playsFor", "Grays_Athletic_F.C." ], [ "Lloyd_Opara", "playsFor", "Harlow_Town_F.C." ], [ "Lloyd_Opara", "playsFor", "Peterborough_United_F.C." ], [ "Lloyd_Opara", "playsFor", "Potters_Bar_Town_F.C." ], [ "Michael_Black_(footballer)", "hasGender", "male" ], [ "Michael_Black_(footballer)", "isAffiliatedTo", "Billericay_Town_F.C." ], [ "Michael_Black_(footballer)", "isAffiliatedTo", "Potters_Bar_Town_F.C." ], [ "Michael_Black_(footballer)", "isAffiliatedTo", "Tranmere_Rovers_F.C." ], [ "Michael_Black_(footballer)", "playsFor", "Billericay_Town_F.C." ], [ "Michael_Black_(footballer)", "playsFor", "Potters_Bar_Town_F.C." ], [ "Michael_Black_(footballer)", "playsFor", "Tranmere_Rovers_F.C." ], [ "Mustafa_Tiryaki", "hasGender", "male" ], [ "Mustafa_Tiryaki", "playsFor", "Cambridge_United_F.C." ], [ "Mustafa_Tiryaki", "playsFor", "Maidenhead_United_F.C." ], [ "Mustafa_Tiryaki", "playsFor", "Potters_Bar_Town_F.C." ], [ "Mustafa_Tiryaki", "playsFor", "Tranmere_Rovers_F.C." ], [ "Mustafa_Tiryaki", "wasBornIn", "London" ], [ "Mustapha_Dumbuya", "hasGender", "male" ], [ "Mustapha_Dumbuya", "isAffiliatedTo", "Crawley_Town_F.C." ], [ "Mustapha_Dumbuya", "playsFor", "Crawley_Town_F.C." ], [ "Mustapha_Dumbuya", "playsFor", "Maidenhead_United_F.C." ], [ "Mustapha_Dumbuya", "playsFor", "Potters_Bar_Town_F.C." ], [ "Nathan_Smith_(footballer)", "hasGender", "male" ], [ "Nathan_Smith_(footballer)", "isAffiliatedTo", "Potters_Bar_Town_F.C." ], [ "Nathan_Smith_(footballer)", "playsFor", "Potters_Bar_Town_F.C." ], [ "Nathan_Smith_(footballer)", "wasBornIn", "London" ], [ "Nick_McKoy", "hasGender", "male" ], [ "Nick_McKoy", "isAffiliatedTo", "Grays_Athletic_F.C." ], [ "Nick_McKoy", "isAffiliatedTo", "Kettering_Town_F.C." ], [ "Nick_McKoy", "isAffiliatedTo", "Milton_Keynes_Dons_F.C." ], [ "Nick_McKoy", "isAffiliatedTo", "Potters_Bar_Town_F.C." ], [ "Nick_McKoy", "playsFor", "Grays_Athletic_F.C." ], [ "Nick_McKoy", "playsFor", "Kettering_Town_F.C." ], [ "Nick_McKoy", "playsFor", "Milton_Keynes_Dons_F.C." ], [ "Nick_McKoy", "playsFor", "Potters_Bar_Town_F.C." ], [ "Ryan_Edgar", "hasGender", "male" ], [ "Ryan_Edgar", "isAffiliatedTo", "Aveley_F.C." ], [ "Ryan_Edgar", "isAffiliatedTo", "Farnborough_F.C." ], [ "Ryan_Edgar", "isAffiliatedTo", "Milton_Keynes_Dons_F.C." ], [ "Ryan_Edgar", "isAffiliatedTo", "Potters_Bar_Town_F.C." ], [ "Ryan_Edgar", "playsFor", "Aveley_F.C." ], [ "Ryan_Edgar", "playsFor", "Farnborough_F.C." ], [ "Ryan_Edgar", "playsFor", "Milton_Keynes_Dons_F.C." ], [ "Ryan_Edgar", "playsFor", "Potters_Bar_Town_F.C." ], [ "Serge_Makofo", "hasGender", "male" ], [ "Serge_Makofo", "playsFor", "Burton_Albion_F.C." ], [ "Serge_Makofo", "playsFor", "Grays_Athletic_F.C." ], [ "Serge_Makofo", "playsFor", "Kettering_Town_F.C." ], [ "Serge_Makofo", "playsFor", "Maidenhead_United_F.C." ], [ "Serge_Makofo", "playsFor", "Milton_Keynes_Dons_F.C." ], [ "Serge_Makofo", "playsFor", "Potters_Bar_Town_F.C." ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 24605, Alfred_Lemmnitz 95802, Australia 96383, Belize 20059, Berlin 108086, Canada 58646, Cook_Islands 73267, East_Germany 43235, Elizabeth_II 79718, English_language 28610, Erwin_Kramer 111744, Europe 79395, Friedrich_Ebert,_Jr. 61995, Germany 26158, Gibraltar 48836, Grenada 100924, Heinz_Hoffmann 73693, Heinz_Kessler 14006, Horst_Sindermann 2568, Jack_Holborn 116329, Jersey 25992, Johannes_R._Becher 65846, Klaus_Fuchs 113837, Lothar_Bolz 95508, Manfred_Gerlach 24350, Margot_Honecker 58177, National_People's_Army 114482, New_Zealand 66741, Order_of_Karl_Marx 34954, Otto_Winzer 116234, Patriotic_Order_of_Merit 108636, Paul_Dessau 73823, Scotland 29594, Singapore 90823, Socialist_Unity_Party_of_Germany 22868, Star_of_People's_Friendship 90414, The_Bahamas 87190, Walter_Ulbricht 106035, Willi_Stoph src, edge_attr, dst 24605, diedIn, 20059 24605, hasChild, 24350 24605, hasWonPrize, 66741 24605, hasWonPrize, 116234 24605, hasWonPrize, 22868 24605, isAffiliatedTo, 90823 24605, isPoliticianOf, 73267 96383, hasOfficialLanguage, 79718 20059, isLocatedIn, 111744 20059, isLocatedIn, 61995 108086, hasOfficialLanguage, 79718 58646, hasOfficialLanguage, 79718 58646, isLocatedIn, 114482 73267, isLocatedIn, 111744 43235, isLeaderOf, 95802 43235, isLeaderOf, 96383 43235, isLeaderOf, 108086 43235, isLeaderOf, 58646 43235, isLeaderOf, 26158 43235, isLeaderOf, 48836 43235, isLeaderOf, 116329 43235, isLeaderOf, 114482 43235, isLeaderOf, 73823 43235, isLeaderOf, 90414 28610, diedIn, 20059 28610, hasWonPrize, 66741 28610, hasWonPrize, 116234 28610, hasWonPrize, 22868 28610, isAffiliatedTo, 90823 28610, isPoliticianOf, 73267 79395, diedIn, 20059 79395, hasWonPrize, 66741 79395, hasWonPrize, 116234 79395, hasWonPrize, 22868 79395, isAffiliatedTo, 90823 79395, isCitizenOf, 73267 61995, hasCapital, 20059 26158, hasOfficialLanguage, 79718 48836, hasOfficialLanguage, 79718 100924, hasWonPrize, 66741 100924, hasWonPrize, 116234 100924, isAffiliatedTo, 90823 100924, isPoliticianOf, 73267 73693, hasWonPrize, 66741 73693, hasWonPrize, 116234 73693, isAffiliatedTo, 90823 73693, isPoliticianOf, 73267 14006, diedIn, 20059 14006, hasWonPrize, 66741 14006, isAffiliatedTo, 90823 14006, isPoliticianOf, 73267 2568, isLocatedIn, 58646 2568, isLocatedIn, 61995 2568, isLocatedIn, 114482 116329, hasOfficialLanguage, 79718 25992, diedIn, 20059 25992, isAffiliatedTo, 90823 25992, isPoliticianOf, 73267 65846, hasWonPrize, 66741 65846, hasWonPrize, 116234 65846, livesIn, 73267 113837, diedIn, 20059 113837, hasWonPrize, 116234 113837, hasWonPrize, 22868 113837, isPoliticianOf, 73267 95508, diedIn, 20059 95508, hasWonPrize, 66741 95508, hasWonPrize, 116234 95508, hasWonPrize, 22868 24350, hasWonPrize, 66741 24350, hasWonPrize, 116234 24350, isAffiliatedTo, 90823 24350, isPoliticianOf, 73267 24350, isPoliticianOf, 61995 58177, isLocatedIn, 20059 58177, isLocatedIn, 73267 114482, dealsWith, 95802 114482, dealsWith, 61995 114482, dealsWith, 29594 34954, hasWonPrize, 66741 34954, hasWonPrize, 116234 34954, hasWonPrize, 22868 34954, isAffiliatedTo, 90823 34954, isPoliticianOf, 73267 34954, wasBornIn, 20059 108636, hasWonPrize, 66741 108636, hasWonPrize, 116234 108636, hasWonPrize, 22868 73823, hasOfficialLanguage, 79718 29594, hasOfficialLanguage, 79718 90823, isLocatedIn, 20059 90823, isLocatedIn, 73267 90414, hasOfficialLanguage, 79718 87190, diedIn, 20059 87190, hasWonPrize, 66741 87190, isAffiliatedTo, 90823 106035, diedIn, 20059 106035, hasWonPrize, 66741 106035, hasWonPrize, 116234 106035, isAffiliatedTo, 90823 106035, isPoliticianOf, 73267 106035, wasBornIn, 20059 Question: For what reason are Alfred_Lemmnitz and Cook_Islands associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Alfred_Lemmnitz", "Cook_Islands" ], "valid_edges": [ [ "Alfred_Lemmnitz", "diedIn", "Berlin" ], [ "Alfred_Lemmnitz", "hasChild", "Margot_Honecker" ], [ "Alfred_Lemmnitz", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Alfred_Lemmnitz", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Alfred_Lemmnitz", "hasWonPrize", "Star_of_People's_Friendship" ], [ "Alfred_Lemmnitz", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Alfred_Lemmnitz", "isPoliticianOf", "East_Germany" ], [ "Belize", "hasOfficialLanguage", "English_language" ], [ "Berlin", "isLocatedIn", "Europe" ], [ "Berlin", "isLocatedIn", "Germany" ], [ "Canada", "hasOfficialLanguage", "English_language" ], [ "Cook_Islands", "hasOfficialLanguage", "English_language" ], [ "Cook_Islands", "isLocatedIn", "New_Zealand" ], [ "East_Germany", "isLocatedIn", "Europe" ], [ "Elizabeth_II", "isLeaderOf", "Australia" ], [ "Elizabeth_II", "isLeaderOf", "Belize" ], [ "Elizabeth_II", "isLeaderOf", "Canada" ], [ "Elizabeth_II", "isLeaderOf", "Cook_Islands" ], [ "Elizabeth_II", "isLeaderOf", "Gibraltar" ], [ "Elizabeth_II", "isLeaderOf", "Grenada" ], [ "Elizabeth_II", "isLeaderOf", "Jersey" ], [ "Elizabeth_II", "isLeaderOf", "New_Zealand" ], [ "Elizabeth_II", "isLeaderOf", "Scotland" ], [ "Elizabeth_II", "isLeaderOf", "The_Bahamas" ], [ "Erwin_Kramer", "diedIn", "Berlin" ], [ "Erwin_Kramer", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Erwin_Kramer", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Erwin_Kramer", "hasWonPrize", "Star_of_People's_Friendship" ], [ "Erwin_Kramer", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Erwin_Kramer", "isPoliticianOf", "East_Germany" ], [ "Friedrich_Ebert,_Jr.", "diedIn", "Berlin" ], [ "Friedrich_Ebert,_Jr.", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Friedrich_Ebert,_Jr.", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Friedrich_Ebert,_Jr.", "hasWonPrize", "Star_of_People's_Friendship" ], [ "Friedrich_Ebert,_Jr.", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Friedrich_Ebert,_Jr.", "isCitizenOf", "East_Germany" ], [ "Germany", "hasCapital", "Berlin" ], [ "Gibraltar", "hasOfficialLanguage", "English_language" ], [ "Grenada", "hasOfficialLanguage", "English_language" ], [ "Heinz_Hoffmann", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Heinz_Hoffmann", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Heinz_Hoffmann", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Heinz_Hoffmann", "isPoliticianOf", "East_Germany" ], [ "Heinz_Kessler", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Heinz_Kessler", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Heinz_Kessler", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Heinz_Kessler", "isPoliticianOf", "East_Germany" ], [ "Horst_Sindermann", "diedIn", "Berlin" ], [ "Horst_Sindermann", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Horst_Sindermann", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Horst_Sindermann", "isPoliticianOf", "East_Germany" ], [ "Jack_Holborn", "isLocatedIn", "Cook_Islands" ], [ "Jack_Holborn", "isLocatedIn", "Germany" ], [ "Jack_Holborn", "isLocatedIn", "New_Zealand" ], [ "Jersey", "hasOfficialLanguage", "English_language" ], [ "Johannes_R._Becher", "diedIn", "Berlin" ], [ "Johannes_R._Becher", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Johannes_R._Becher", "isPoliticianOf", "East_Germany" ], [ "Klaus_Fuchs", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Klaus_Fuchs", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Klaus_Fuchs", "livesIn", "East_Germany" ], [ "Lothar_Bolz", "diedIn", "Berlin" ], [ "Lothar_Bolz", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Lothar_Bolz", "hasWonPrize", "Star_of_People's_Friendship" ], [ "Lothar_Bolz", "isPoliticianOf", "East_Germany" ], [ "Manfred_Gerlach", "diedIn", "Berlin" ], [ "Manfred_Gerlach", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Manfred_Gerlach", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Manfred_Gerlach", "hasWonPrize", "Star_of_People's_Friendship" ], [ "Margot_Honecker", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Margot_Honecker", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Margot_Honecker", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Margot_Honecker", "isPoliticianOf", "East_Germany" ], [ "Margot_Honecker", "isPoliticianOf", "Germany" ], [ "National_People's_Army", "isLocatedIn", "Berlin" ], [ "National_People's_Army", "isLocatedIn", "East_Germany" ], [ "New_Zealand", "dealsWith", "Australia" ], [ "New_Zealand", "dealsWith", "Germany" ], [ "New_Zealand", "dealsWith", "Singapore" ], [ "Otto_Winzer", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Otto_Winzer", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Otto_Winzer", "hasWonPrize", "Star_of_People's_Friendship" ], [ "Otto_Winzer", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Otto_Winzer", "isPoliticianOf", "East_Germany" ], [ "Otto_Winzer", "wasBornIn", "Berlin" ], [ "Paul_Dessau", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Paul_Dessau", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Paul_Dessau", "hasWonPrize", "Star_of_People's_Friendship" ], [ "Scotland", "hasOfficialLanguage", "English_language" ], [ "Singapore", "hasOfficialLanguage", "English_language" ], [ "Socialist_Unity_Party_of_Germany", "isLocatedIn", "Berlin" ], [ "Socialist_Unity_Party_of_Germany", "isLocatedIn", "East_Germany" ], [ "The_Bahamas", "hasOfficialLanguage", "English_language" ], [ "Walter_Ulbricht", "diedIn", "Berlin" ], [ "Walter_Ulbricht", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Walter_Ulbricht", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Willi_Stoph", "diedIn", "Berlin" ], [ "Willi_Stoph", "hasWonPrize", "Order_of_Karl_Marx" ], [ "Willi_Stoph", "hasWonPrize", "Patriotic_Order_of_Merit" ], [ "Willi_Stoph", "isAffiliatedTo", "Socialist_Unity_Party_of_Germany" ], [ "Willi_Stoph", "isPoliticianOf", "East_Germany" ], [ "Willi_Stoph", "wasBornIn", "Berlin" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 46, Alois_Kalss 85990, Close_Combat_Clasp 88104, Eastern_Front_Medal 37419, German_Cross 63522, Heinz_Müller_(SS_officer) 26906, Iron_Cross 34457, Johannes-Rudolf_Mühlenkamp 90145, Knight's_Cross_of_the_Iron_Cross 11731, Martins_Ferry,_Ohio 100557, Panzer_Badge 98998, Walter_Drexler 63847, William_Dean_Howells 92390, Wound_Badge 118104, male src, edge_attr, dst 46, hasGender, 118104 46, hasWonPrize, 88104 46, hasWonPrize, 37419 46, hasWonPrize, 26906 46, hasWonPrize, 90145 46, hasWonPrize, 100557 46, hasWonPrize, 92390 63522, hasGender, 118104 63522, hasWonPrize, 85990 63522, hasWonPrize, 88104 63522, hasWonPrize, 37419 63522, hasWonPrize, 26906 63522, hasWonPrize, 90145 63522, hasWonPrize, 100557 63522, hasWonPrize, 92390 34457, hasGender, 118104 34457, hasWonPrize, 37419 34457, hasWonPrize, 26906 34457, hasWonPrize, 90145 34457, hasWonPrize, 100557 34457, hasWonPrize, 92390 98998, hasGender, 118104 98998, hasWonPrize, 85990 98998, hasWonPrize, 88104 98998, hasWonPrize, 26906 98998, hasWonPrize, 90145 98998, hasWonPrize, 100557 98998, hasWonPrize, 92390 63847, hasGender, 118104 63847, wasBornIn, 11731 Question: How are Martins_Ferry,_Ohio and Panzer_Badge related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Martins_Ferry,_Ohio", "Panzer_Badge" ], "valid_edges": [ [ "Alois_Kalss", "hasGender", "male" ], [ "Alois_Kalss", "hasWonPrize", "Eastern_Front_Medal" ], [ "Alois_Kalss", "hasWonPrize", "German_Cross" ], [ "Alois_Kalss", "hasWonPrize", "Iron_Cross" ], [ "Alois_Kalss", "hasWonPrize", "Knight's_Cross_of_the_Iron_Cross" ], [ "Alois_Kalss", "hasWonPrize", "Panzer_Badge" ], [ "Alois_Kalss", "hasWonPrize", "Wound_Badge" ], [ "Heinz_Müller_(SS_officer)", "hasGender", "male" ], [ "Heinz_Müller_(SS_officer)", "hasWonPrize", "Close_Combat_Clasp" ], [ "Heinz_Müller_(SS_officer)", "hasWonPrize", "Eastern_Front_Medal" ], [ "Heinz_Müller_(SS_officer)", "hasWonPrize", "German_Cross" ], [ "Heinz_Müller_(SS_officer)", "hasWonPrize", "Iron_Cross" ], [ "Heinz_Müller_(SS_officer)", "hasWonPrize", "Knight's_Cross_of_the_Iron_Cross" ], [ "Heinz_Müller_(SS_officer)", "hasWonPrize", "Panzer_Badge" ], [ "Heinz_Müller_(SS_officer)", "hasWonPrize", "Wound_Badge" ], [ "Johannes-Rudolf_Mühlenkamp", "hasGender", "male" ], [ "Johannes-Rudolf_Mühlenkamp", "hasWonPrize", "German_Cross" ], [ "Johannes-Rudolf_Mühlenkamp", "hasWonPrize", "Iron_Cross" ], [ "Johannes-Rudolf_Mühlenkamp", "hasWonPrize", "Knight's_Cross_of_the_Iron_Cross" ], [ "Johannes-Rudolf_Mühlenkamp", "hasWonPrize", "Panzer_Badge" ], [ "Johannes-Rudolf_Mühlenkamp", "hasWonPrize", "Wound_Badge" ], [ "Walter_Drexler", "hasGender", "male" ], [ "Walter_Drexler", "hasWonPrize", "Close_Combat_Clasp" ], [ "Walter_Drexler", "hasWonPrize", "Eastern_Front_Medal" ], [ "Walter_Drexler", "hasWonPrize", "Iron_Cross" ], [ "Walter_Drexler", "hasWonPrize", "Knight's_Cross_of_the_Iron_Cross" ], [ "Walter_Drexler", "hasWonPrize", "Panzer_Badge" ], [ "Walter_Drexler", "hasWonPrize", "Wound_Badge" ], [ "William_Dean_Howells", "hasGender", "male" ], [ "William_Dean_Howells", "wasBornIn", "Martins_Ferry,_Ohio" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 49972, Breckenridge,_Minnesota 16458, Chintapalli_Ramana 89823, India 1710, Palakol 29157, United_States src, edge_attr, dst 49972, isLocatedIn, 29157 16458, wasBornIn, 1710 89823, dealsWith, 29157 1710, isLocatedIn, 89823 Question: In what context are Breckenridge,_Minnesota and Chintapalli_Ramana connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Breckenridge,_Minnesota", "Chintapalli_Ramana" ], "valid_edges": [ [ "Breckenridge,_Minnesota", "isLocatedIn", "United_States" ], [ "Chintapalli_Ramana", "wasBornIn", "Palakol" ], [ "India", "dealsWith", "United_States" ], [ "Palakol", "isLocatedIn", "India" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 82383, Afghanistan 38585, Alexander_Davydov 5074, Algeria 106272, Armenia 18438, Azerbaijan 19466, Bulgaria 107583, Congo_Crisis 54540, Estonia 52555, Finland 48909, Hungary 104949, Ireland 37869, Latvia 17202, Lithuania 16243, Luxembourg 115840, Mongolia 114482, New_Zealand 34763, Nigeria 82402, Romania 62969, Slovakia 82590, South_Korea 57571, Soviet_Union 76200, United_Arab_Emirates 116232, War_in_Afghanistan_(2001–present) 75056, War_on_Terror 54910, Yevpatoria src, edge_attr, dst 82383, participatedIn, 75056 38585, isCitizenOf, 57571 38585, wasBornIn, 54910 5074, participatedIn, 107583 5074, participatedIn, 75056 106272, participatedIn, 116232 106272, participatedIn, 75056 18438, participatedIn, 116232 18438, participatedIn, 75056 19466, participatedIn, 116232 19466, participatedIn, 75056 54540, participatedIn, 116232 54540, participatedIn, 75056 52555, participatedIn, 116232 52555, participatedIn, 75056 48909, participatedIn, 116232 48909, participatedIn, 75056 104949, participatedIn, 107583 104949, participatedIn, 116232 104949, participatedIn, 75056 37869, participatedIn, 116232 37869, participatedIn, 75056 17202, participatedIn, 116232 17202, participatedIn, 75056 16243, participatedIn, 116232 16243, participatedIn, 75056 115840, participatedIn, 116232 115840, participatedIn, 75056 114482, participatedIn, 116232 114482, participatedIn, 75056 34763, participatedIn, 107583 34763, participatedIn, 75056 82402, participatedIn, 116232 82402, participatedIn, 75056 62969, participatedIn, 116232 62969, participatedIn, 75056 82590, participatedIn, 116232 82590, participatedIn, 75056 57571, participatedIn, 107583 76200, participatedIn, 116232 76200, participatedIn, 75056 116232, happenedIn, 82383 116232, happenedIn, 82402 116232, isLocatedIn, 82383 Question: For what reason are Ireland and Yevpatoria associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Ireland", "Yevpatoria" ], "valid_edges": [ [ "Afghanistan", "participatedIn", "War_on_Terror" ], [ "Alexander_Davydov", "isCitizenOf", "Soviet_Union" ], [ "Alexander_Davydov", "wasBornIn", "Yevpatoria" ], [ "Algeria", "participatedIn", "Congo_Crisis" ], [ "Algeria", "participatedIn", "War_on_Terror" ], [ "Armenia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Armenia", "participatedIn", "War_on_Terror" ], [ "Azerbaijan", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Azerbaijan", "participatedIn", "War_on_Terror" ], [ "Bulgaria", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Bulgaria", "participatedIn", "War_on_Terror" ], [ "Estonia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Estonia", "participatedIn", "War_on_Terror" ], [ "Finland", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Finland", "participatedIn", "War_on_Terror" ], [ "Hungary", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Hungary", "participatedIn", "War_on_Terror" ], [ "Ireland", "participatedIn", "Congo_Crisis" ], [ "Ireland", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Ireland", "participatedIn", "War_on_Terror" ], [ "Latvia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Latvia", "participatedIn", "War_on_Terror" ], [ "Lithuania", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Lithuania", "participatedIn", "War_on_Terror" ], [ "Luxembourg", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Luxembourg", "participatedIn", "War_on_Terror" ], [ "Mongolia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Mongolia", "participatedIn", "War_on_Terror" ], [ "New_Zealand", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "New_Zealand", "participatedIn", "War_on_Terror" ], [ "Nigeria", "participatedIn", "Congo_Crisis" ], [ "Nigeria", "participatedIn", "War_on_Terror" ], [ "Romania", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Romania", "participatedIn", "War_on_Terror" ], [ "Slovakia", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Slovakia", "participatedIn", "War_on_Terror" ], [ "South_Korea", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "South_Korea", "participatedIn", "War_on_Terror" ], [ "Soviet_Union", "participatedIn", "Congo_Crisis" ], [ "United_Arab_Emirates", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "United_Arab_Emirates", "participatedIn", "War_on_Terror" ], [ "War_in_Afghanistan_(2001–present)", "happenedIn", "Afghanistan" ], [ "War_in_Afghanistan_(2001–present)", "happenedIn", "Romania" ], [ "War_in_Afghanistan_(2001–present)", "isLocatedIn", "Afghanistan" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 70102, Akihito 50835, Andrez_Bergen 40901, Christoph_Spycher 63726, Ei-ichi_Negishi 31822, Fumihiko_Maki 8050, Hidehiko_Yamabe 92138, Hideki_Kamiya 37772, Hideki_Yukawa 75496, Hiroshi_Nakai 9491, Hitoshi_Ashida 51511, Ichirō_Ozawa 76792, Japan 104617, Junichiro_Koizumi 26778, Kaoru_Yosano 112682, Katsura_Tarō 19417, Katsuya_Okada 87860, Katō_Tomosaburō 57302, Kazunori_Itō 79994, Keizō_Obuchi 1261, Ken_Sugimori 82891, Kenkichi_Iwasawa 89944, Kiyoshi_Itō 55192, Koji_Suzuki 69720, Kuniaki_Koiso 58878, Kunihiko_Kodaira 14615, Kurashiki 95454, Kōichi_Mashimo 101015, Kōichirō_Genba 2128, Makoto_Kobayashi_(physicist) 59227, Matajirō_Koizumi 111621, Matsuo_Bashō 91623, Mikio_Sato 33381, Minoru_Yanagida 106752, Morihiro_Higashikuni 45614, Naoto_Kan 25781, Osamu_Shimomura 57308, Prince_Naruhiko_Higashikuni 23651, Ryōji_Noyori 114587, Saitō_Makoto 90423, Satsuki_Eda 80473, Seiji_Maehara 3994, Shigeru_Yoshida 11275, Shinzō_Abe 122062, Shokichi_Iyanaga 65201, Susumu_Tonegawa 20689, Tadamitsu_Kishimoto 108479, Tanaka_Giichi 25624, Tatsuo_Kawabata 14987, Teiji_Takagi 105576, Terauchi_Masatake 101602, Yamagata_Aritomo 68441, Yasunari_Kawabata 46830, Yasuo_Fukuda 116107, Yoichiro_Nambu 28873, Yoshihiko_Noda 63590, Yozo_Matsushima 87019, Yukio_Hatoyama 108025, Yōichi_Masuzoe 118104, male src, edge_attr, dst 70102, hasGender, 118104 70102, isLeaderOf, 76792 50835, hasGender, 118104 50835, livesIn, 76792 40901, hasGender, 118104 63726, hasGender, 118104 63726, isCitizenOf, 76792 31822, hasGender, 118104 31822, isCitizenOf, 76792 8050, hasGender, 118104 8050, isCitizenOf, 76792 92138, hasGender, 118104 92138, isCitizenOf, 76792 37772, hasGender, 118104 37772, isCitizenOf, 76792 75496, hasGender, 118104 75496, isPoliticianOf, 76792 9491, hasGender, 118104 9491, isPoliticianOf, 76792 51511, hasGender, 118104 51511, isPoliticianOf, 76792 104617, hasGender, 118104 104617, isPoliticianOf, 76792 26778, hasGender, 118104 26778, isPoliticianOf, 76792 112682, hasGender, 118104 112682, isPoliticianOf, 76792 19417, hasGender, 118104 19417, isPoliticianOf, 76792 87860, hasGender, 118104 87860, isPoliticianOf, 76792 57302, hasGender, 118104 57302, isCitizenOf, 76792 79994, hasGender, 118104 79994, isPoliticianOf, 76792 1261, hasGender, 118104 1261, isCitizenOf, 76792 82891, hasGender, 118104 82891, isCitizenOf, 76792 89944, hasGender, 118104 89944, isCitizenOf, 76792 55192, hasGender, 118104 55192, isCitizenOf, 76792 69720, hasGender, 118104 69720, isPoliticianOf, 76792 58878, hasGender, 118104 58878, isCitizenOf, 76792 14615, isLocatedIn, 76792 95454, hasGender, 118104 95454, isCitizenOf, 76792 101015, hasGender, 118104 101015, isPoliticianOf, 76792 2128, hasGender, 118104 2128, isCitizenOf, 76792 59227, hasGender, 118104 59227, isPoliticianOf, 76792 111621, hasGender, 118104 111621, isCitizenOf, 76792 91623, hasGender, 118104 91623, isCitizenOf, 76792 33381, hasGender, 118104 33381, isPoliticianOf, 76792 106752, hasGender, 118104 106752, isPoliticianOf, 76792 45614, hasGender, 118104 45614, isPoliticianOf, 76792 25781, hasGender, 118104 25781, isCitizenOf, 76792 57308, hasGender, 118104 57308, isPoliticianOf, 76792 23651, hasGender, 118104 23651, isCitizenOf, 76792 114587, hasGender, 118104 114587, isPoliticianOf, 76792 90423, hasGender, 118104 90423, isPoliticianOf, 76792 80473, hasGender, 118104 80473, isPoliticianOf, 76792 3994, hasGender, 118104 3994, isPoliticianOf, 76792 11275, hasGender, 118104 11275, isLeaderOf, 76792 11275, isPoliticianOf, 76792 122062, hasGender, 118104 122062, isCitizenOf, 76792 65201, hasGender, 118104 65201, isCitizenOf, 76792 20689, hasGender, 118104 20689, isCitizenOf, 76792 108479, hasGender, 118104 108479, isPoliticianOf, 76792 25624, hasGender, 118104 25624, isPoliticianOf, 76792 14987, hasGender, 118104 14987, isCitizenOf, 76792 105576, hasGender, 118104 105576, isPoliticianOf, 76792 101602, hasGender, 118104 101602, isPoliticianOf, 76792 68441, hasGender, 118104 68441, isCitizenOf, 76792 46830, hasGender, 118104 46830, isPoliticianOf, 76792 116107, hasGender, 118104 116107, isCitizenOf, 76792 28873, hasGender, 118104 28873, isPoliticianOf, 76792 63590, hasGender, 118104 63590, isCitizenOf, 76792 87019, hasGender, 118104 87019, isPoliticianOf, 76792 108025, hasGender, 118104 108025, isPoliticianOf, 76792 Question: For what reason are Christoph_Spycher and Kurashiki associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Christoph_Spycher", "Kurashiki" ], "valid_edges": [ [ "Akihito", "hasGender", "male" ], [ "Akihito", "isLeaderOf", "Japan" ], [ "Andrez_Bergen", "hasGender", "male" ], [ "Andrez_Bergen", "livesIn", "Japan" ], [ "Christoph_Spycher", "hasGender", "male" ], [ "Ei-ichi_Negishi", "hasGender", "male" ], [ "Ei-ichi_Negishi", "isCitizenOf", "Japan" ], [ "Fumihiko_Maki", "hasGender", "male" ], [ "Fumihiko_Maki", "isCitizenOf", "Japan" ], [ "Hidehiko_Yamabe", "hasGender", "male" ], [ "Hidehiko_Yamabe", "isCitizenOf", "Japan" ], [ "Hideki_Kamiya", "hasGender", "male" ], [ "Hideki_Kamiya", "isCitizenOf", "Japan" ], [ "Hideki_Yukawa", "hasGender", "male" ], [ "Hideki_Yukawa", "isCitizenOf", "Japan" ], [ "Hiroshi_Nakai", "hasGender", "male" ], [ "Hiroshi_Nakai", "isPoliticianOf", "Japan" ], [ "Hitoshi_Ashida", "hasGender", "male" ], [ "Hitoshi_Ashida", "isPoliticianOf", "Japan" ], [ "Ichirō_Ozawa", "hasGender", "male" ], [ "Ichirō_Ozawa", "isPoliticianOf", "Japan" ], [ "Junichiro_Koizumi", "hasGender", "male" ], [ "Junichiro_Koizumi", "isPoliticianOf", "Japan" ], [ "Kaoru_Yosano", "hasGender", "male" ], [ "Kaoru_Yosano", "isPoliticianOf", "Japan" ], [ "Katsura_Tarō", "hasGender", "male" ], [ "Katsura_Tarō", "isPoliticianOf", "Japan" ], [ "Katsuya_Okada", "hasGender", "male" ], [ "Katsuya_Okada", "isPoliticianOf", "Japan" ], [ "Katō_Tomosaburō", "hasGender", "male" ], [ "Katō_Tomosaburō", "isPoliticianOf", "Japan" ], [ "Kazunori_Itō", "hasGender", "male" ], [ "Kazunori_Itō", "isCitizenOf", "Japan" ], [ "Keizō_Obuchi", "hasGender", "male" ], [ "Keizō_Obuchi", "isPoliticianOf", "Japan" ], [ "Ken_Sugimori", "hasGender", "male" ], [ "Ken_Sugimori", "isCitizenOf", "Japan" ], [ "Kenkichi_Iwasawa", "hasGender", "male" ], [ "Kenkichi_Iwasawa", "isCitizenOf", "Japan" ], [ "Kiyoshi_Itō", "hasGender", "male" ], [ "Kiyoshi_Itō", "isCitizenOf", "Japan" ], [ "Koji_Suzuki", "hasGender", "male" ], [ "Koji_Suzuki", "isCitizenOf", "Japan" ], [ "Kuniaki_Koiso", "hasGender", "male" ], [ "Kuniaki_Koiso", "isPoliticianOf", "Japan" ], [ "Kunihiko_Kodaira", "hasGender", "male" ], [ "Kunihiko_Kodaira", "isCitizenOf", "Japan" ], [ "Kurashiki", "isLocatedIn", "Japan" ], [ "Kōichi_Mashimo", "hasGender", "male" ], [ "Kōichi_Mashimo", "isCitizenOf", "Japan" ], [ "Kōichirō_Genba", "hasGender", "male" ], [ "Kōichirō_Genba", "isPoliticianOf", "Japan" ], [ "Makoto_Kobayashi_(physicist)", "hasGender", "male" ], [ "Makoto_Kobayashi_(physicist)", "isCitizenOf", "Japan" ], [ "Matajirō_Koizumi", "hasGender", "male" ], [ "Matajirō_Koizumi", "isPoliticianOf", "Japan" ], [ "Matsuo_Bashō", "hasGender", "male" ], [ "Matsuo_Bashō", "isCitizenOf", "Japan" ], [ "Mikio_Sato", "hasGender", "male" ], [ "Mikio_Sato", "isCitizenOf", "Japan" ], [ "Minoru_Yanagida", "hasGender", "male" ], [ "Minoru_Yanagida", "isPoliticianOf", "Japan" ], [ "Morihiro_Higashikuni", "hasGender", "male" ], [ "Morihiro_Higashikuni", "isPoliticianOf", "Japan" ], [ "Naoto_Kan", "hasGender", "male" ], [ "Naoto_Kan", "isPoliticianOf", "Japan" ], [ "Osamu_Shimomura", "hasGender", "male" ], [ "Osamu_Shimomura", "isCitizenOf", "Japan" ], [ "Prince_Naruhiko_Higashikuni", "hasGender", "male" ], [ "Prince_Naruhiko_Higashikuni", "isPoliticianOf", "Japan" ], [ "Ryōji_Noyori", "hasGender", "male" ], [ "Ryōji_Noyori", "isCitizenOf", "Japan" ], [ "Saitō_Makoto", "hasGender", "male" ], [ "Saitō_Makoto", "isPoliticianOf", "Japan" ], [ "Satsuki_Eda", "hasGender", "male" ], [ "Satsuki_Eda", "isPoliticianOf", "Japan" ], [ "Seiji_Maehara", "hasGender", "male" ], [ "Seiji_Maehara", "isPoliticianOf", "Japan" ], [ "Shigeru_Yoshida", "hasGender", "male" ], [ "Shigeru_Yoshida", "isPoliticianOf", "Japan" ], [ "Shinzō_Abe", "hasGender", "male" ], [ "Shinzō_Abe", "isLeaderOf", "Japan" ], [ "Shinzō_Abe", "isPoliticianOf", "Japan" ], [ "Shokichi_Iyanaga", "hasGender", "male" ], [ "Shokichi_Iyanaga", "isCitizenOf", "Japan" ], [ "Susumu_Tonegawa", "hasGender", "male" ], [ "Susumu_Tonegawa", "isCitizenOf", "Japan" ], [ "Tadamitsu_Kishimoto", "hasGender", "male" ], [ "Tadamitsu_Kishimoto", "isCitizenOf", "Japan" ], [ "Tanaka_Giichi", "hasGender", "male" ], [ "Tanaka_Giichi", "isPoliticianOf", "Japan" ], [ "Tatsuo_Kawabata", "hasGender", "male" ], [ "Tatsuo_Kawabata", "isPoliticianOf", "Japan" ], [ "Teiji_Takagi", "hasGender", "male" ], [ "Teiji_Takagi", "isCitizenOf", "Japan" ], [ "Terauchi_Masatake", "hasGender", "male" ], [ "Terauchi_Masatake", "isPoliticianOf", "Japan" ], [ "Yamagata_Aritomo", "hasGender", "male" ], [ "Yamagata_Aritomo", "isPoliticianOf", "Japan" ], [ "Yasunari_Kawabata", "hasGender", "male" ], [ "Yasunari_Kawabata", "isCitizenOf", "Japan" ], [ "Yasuo_Fukuda", "hasGender", "male" ], [ "Yasuo_Fukuda", "isPoliticianOf", "Japan" ], [ "Yoichiro_Nambu", "hasGender", "male" ], [ "Yoichiro_Nambu", "isCitizenOf", "Japan" ], [ "Yoshihiko_Noda", "hasGender", "male" ], [ "Yoshihiko_Noda", "isPoliticianOf", "Japan" ], [ "Yozo_Matsushima", "hasGender", "male" ], [ "Yozo_Matsushima", "isCitizenOf", "Japan" ], [ "Yukio_Hatoyama", "hasGender", "male" ], [ "Yukio_Hatoyama", "isPoliticianOf", "Japan" ], [ "Yōichi_Masuzoe", "hasGender", "male" ], [ "Yōichi_Masuzoe", "isPoliticianOf", "Japan" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 62293, Aamir_Khan 36467, Abhishek_Bachchan 4617, Aditya_Chopra 63308, Aishwarya_Rai_Bachchan 31447, Ajay_Devgan 92212, Akshay_Kumar 55937, Akshaye_Khanna 46508, Amitabh_Bachchan 10740, Amjad_Khan 59571, Amol_Palekar 3172, Amrish_Puri 37102, Anand_Bakshi 91825, Anil_Kapoor 76772, Arbaaz_Khan_(Indian_actor) 35497, Arjun_Rampal 95278, Arshad_Warsi 80965, Aruna_Irani 42634, Asha_Parekh 43731, Ashok_Kumar 2615, Asin 53623, Ayesha_Takia 7167, Baldev_Raj_Chopra 51018, Bharat_Bhushan 13952, Bimal_Roy 61234, Bina_Rai 85276, Bobby_Deol 14177, Boman_Irani 41392, Danny_Denzongpa 41832, Dev_Anand 79743, Dharmendra 11091, Dilip_Kumar 103665, Durga_Khote 29933, Esha_Deol 57178, Farhan_Akhtar 58109, Filmfare_Awards 61029, France_national_football_team 85792, Genelia_D'Souza 102877, Hema_Malini 95266, Honey_Irani 68942, Hrithik_Roshan 6410, I._S._Johar 101625, Ileana_D'Cruz 6550, J._P._Dutta 48853, Jackie_Shroff 107058, Jeet_Gannguli 62070, Julien_Escudé 24592, Kajol 10681, Karan_Johar 118480, Karisma_Kapoor 18920, Laxmikant–Pyarelal 34566, Madhuri_Dixit 83030, Mahesh_Bhatt 12598, Majrooh_Sultanpuri 116648, Mamta_Kulkarni 158, Meena_Kumari 8731, Mehmood_Ali 68958, Mumbai 34060, Mumtaz_(actress) 94729, Nadira_(actress) 38206, Nanda_(actress) 68857, Nargis 44364, Nasir_Hussain 70276, Nutan 104724, O._P._Nayyar 58723, Paresh_Rawal 55005, Pran_(actor) 54180, R._D._Burman 61954, Raaj_Kumar 92476, Rahul_Khanna 119672, Raj_Kapoor 119355, Raj_Khosla 61740, Rajendra_Krishan 41455, Rajesh_Khanna 101856, Rajesh_Roshan 102834, Rajinder_Singh_Bedi 97775, Rakesh_Roshan 116445, Ram_Gopal_Varma 84500, Ramanand_Sagar 62091, Rani_Mukerji 20403, Ravi_(music_director) 68135, Renu_Saluja 2417, Rishi_Kapoor 87795, Sachin_Bhowmick 109794, Sadashiv_Amrapurkar 86315, Saeed_Akhtar_Mirza 12119, Sahir_Ludhianvi 56023, Salil_Chowdhury 30674, Salman_Khan 58974, Sanjay_Dutt 115821, Sanjay_Leela_Bhansali 71499, Sanjeev_Kumar 43187, Shabana_Azmi 88174, Shahrukh_Khan 1997, Shakti_Samanta 86759, Shammi_Kapoor 11013, Shankar_Jaikishan 84745, Shashi_Kapoor 33045, Shiney_Ahuja 98665, Smita_Patil 82579, Sridevi 63569, Sunil_Dutt 78773, Sunny_Deol 109209, Supriya_Pathak 102229, Sushmita_Sen 96782, Tanuja 105345, Vijay_Anand_(Hindi_film_maker) 94926, Vijay_Bhatt 93196, Wajahat_Mirza 88963, Yash_Chopra 112185, Zeenat_Aman src, edge_attr, dst 62293, hasWonPrize, 58109 62293, wasBornIn, 68958 36467, hasWonPrize, 58109 36467, wasBornIn, 68958 4617, hasWonPrize, 58109 4617, livesIn, 68958 4617, wasBornIn, 68958 63308, hasWonPrize, 58109 63308, livesIn, 68958 31447, hasWonPrize, 58109 31447, livesIn, 68958 92212, hasWonPrize, 58109 92212, livesIn, 68958 55937, hasWonPrize, 58109 55937, wasBornIn, 68958 46508, hasWonPrize, 58109 46508, livesIn, 68958 10740, diedIn, 68958 10740, hasWonPrize, 58109 59571, hasWonPrize, 58109 59571, wasBornIn, 68958 3172, diedIn, 68958 3172, hasWonPrize, 58109 37102, diedIn, 68958 37102, hasWonPrize, 58109 91825, hasWonPrize, 58109 91825, wasBornIn, 68958 76772, hasWonPrize, 58109 76772, wasBornIn, 68958 35497, hasWonPrize, 58109 35497, livesIn, 68958 95278, hasWonPrize, 58109 95278, wasBornIn, 68958 80965, hasWonPrize, 58109 80965, wasBornIn, 68958 42634, hasWonPrize, 58109 42634, wasBornIn, 68958 43731, diedIn, 68958 43731, hasWonPrize, 58109 43731, livesIn, 68958 2615, hasWonPrize, 58109 2615, livesIn, 68958 53623, hasWonPrize, 58109 53623, wasBornIn, 68958 7167, diedIn, 68958 7167, hasWonPrize, 58109 51018, diedIn, 68958 51018, hasWonPrize, 58109 13952, diedIn, 68958 13952, hasWonPrize, 58109 61234, diedIn, 68958 61234, hasWonPrize, 58109 85276, hasWonPrize, 58109 85276, wasBornIn, 68958 14177, hasWonPrize, 58109 14177, wasBornIn, 68958 41392, hasWonPrize, 58109 41392, livesIn, 68958 41832, hasWonPrize, 58109 41832, livesIn, 68958 79743, hasChild, 85276 79743, hasChild, 29933 79743, hasChild, 78773 79743, hasWonPrize, 58109 79743, isMarriedTo, 102877 11091, hasWonPrize, 58109 11091, livesIn, 68958 103665, diedIn, 68958 103665, hasWonPrize, 58109 103665, wasBornIn, 68958 29933, hasWonPrize, 58109 29933, wasBornIn, 68958 57178, hasWonPrize, 58109 57178, wasBornIn, 68958 85792, hasWonPrize, 58109 85792, wasBornIn, 68958 102877, hasWonPrize, 58109 102877, isMarriedTo, 79743 95266, hasWonPrize, 58109 95266, wasBornIn, 68958 68942, hasWonPrize, 58109 68942, wasBornIn, 68958 6410, diedIn, 68958 6410, hasWonPrize, 58109 101625, hasWonPrize, 58109 101625, wasBornIn, 68958 6550, hasWonPrize, 58109 6550, wasBornIn, 68958 48853, hasWonPrize, 58109 48853, wasBornIn, 68958 107058, hasWonPrize, 58109 107058, wasBornIn, 68958 62070, isAffiliatedTo, 61029 62070, playsFor, 61029 24592, hasWonPrize, 58109 24592, wasBornIn, 68958 10681, hasWonPrize, 58109 10681, wasBornIn, 68958 118480, hasWonPrize, 58109 118480, wasBornIn, 68958 18920, hasWonPrize, 58109 18920, wasBornIn, 68958 34566, hasWonPrize, 58109 34566, wasBornIn, 68958 83030, hasWonPrize, 58109 83030, wasBornIn, 68958 12598, diedIn, 68958 12598, hasWonPrize, 58109 116648, hasWonPrize, 58109 116648, wasBornIn, 68958 158, diedIn, 68958 158, hasWonPrize, 58109 8731, hasWonPrize, 58109 8731, wasBornIn, 68958 34060, hasWonPrize, 58109 34060, wasBornIn, 68958 94729, diedIn, 68958 94729, hasWonPrize, 58109 38206, diedIn, 68958 38206, hasWonPrize, 58109 68857, diedIn, 68958 68857, hasWonPrize, 58109 44364, diedIn, 68958 44364, hasWonPrize, 58109 70276, hasWonPrize, 58109 70276, wasBornIn, 68958 104724, diedIn, 68958 104724, hasWonPrize, 58109 58723, hasWonPrize, 58109 58723, wasBornIn, 68958 55005, diedIn, 68958 55005, hasWonPrize, 58109 55005, livesIn, 68958 54180, diedIn, 68958 54180, hasWonPrize, 58109 61954, diedIn, 68958 61954, hasWonPrize, 58109 92476, hasWonPrize, 58109 92476, wasBornIn, 68958 119672, diedIn, 68958 119672, hasWonPrize, 58109 119355, diedIn, 68958 119355, hasWonPrize, 58109 61740, diedIn, 68958 61740, hasWonPrize, 58109 41455, diedIn, 68958 41455, hasWonPrize, 58109 41455, livesIn, 68958 101856, hasWonPrize, 58109 101856, wasBornIn, 68958 102834, diedIn, 68958 102834, hasWonPrize, 58109 97775, hasWonPrize, 58109 97775, wasBornIn, 68958 116445, hasWonPrize, 58109 116445, livesIn, 68958 84500, diedIn, 68958 84500, hasWonPrize, 58109 62091, hasWonPrize, 58109 62091, wasBornIn, 68958 20403, diedIn, 68958 20403, hasWonPrize, 58109 68135, diedIn, 68958 68135, hasWonPrize, 58109 2417, hasWonPrize, 58109 2417, livesIn, 68958 2417, wasBornIn, 68958 87795, diedIn, 68958 87795, hasWonPrize, 58109 87795, playsFor, 61029 109794, hasWonPrize, 58109 109794, livesIn, 68958 86315, hasWonPrize, 58109 86315, wasBornIn, 68958 12119, diedIn, 68958 12119, hasWonPrize, 58109 56023, diedIn, 68958 56023, hasWonPrize, 58109 30674, hasWonPrize, 58109 30674, livesIn, 68958 58974, hasWonPrize, 58109 58974, wasBornIn, 68958 115821, hasWonPrize, 58109 115821, wasBornIn, 68958 71499, diedIn, 68958 71499, hasWonPrize, 58109 43187, hasWonPrize, 58109 43187, livesIn, 68958 88174, hasWonPrize, 58109 88174, livesIn, 68958 1997, diedIn, 68958 1997, hasWonPrize, 58109 86759, diedIn, 68958 86759, hasWonPrize, 58109 86759, wasBornIn, 68958 11013, diedIn, 68958 11013, hasWonPrize, 58109 84745, hasWonPrize, 58109 84745, livesIn, 68958 33045, hasWonPrize, 58109 33045, livesIn, 68958 98665, diedIn, 68958 98665, hasWonPrize, 58109 82579, hasWonPrize, 58109 82579, livesIn, 68958 63569, diedIn, 68958 63569, hasWonPrize, 58109 78773, hasWonPrize, 58109 78773, livesIn, 68958 109209, hasWonPrize, 58109 109209, wasBornIn, 68958 102229, hasWonPrize, 58109 102229, livesIn, 68958 96782, hasWonPrize, 58109 96782, wasBornIn, 68958 105345, diedIn, 68958 105345, hasWonPrize, 58109 94926, diedIn, 68958 94926, hasWonPrize, 58109 93196, hasWonPrize, 58109 93196, livesIn, 68958 88963, diedIn, 68958 88963, hasWonPrize, 58109 112185, hasWonPrize, 58109 112185, wasBornIn, 68958 Question: How are Julien_Escudé and Sunny_Deol related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Julien_Escudé", "Sunny_Deol" ], "valid_edges": [ [ "Aamir_Khan", "hasWonPrize", "Filmfare_Awards" ], [ "Aamir_Khan", "wasBornIn", "Mumbai" ], [ "Abhishek_Bachchan", "hasWonPrize", "Filmfare_Awards" ], [ "Abhishek_Bachchan", "wasBornIn", "Mumbai" ], [ "Aditya_Chopra", "hasWonPrize", "Filmfare_Awards" ], [ "Aditya_Chopra", "livesIn", "Mumbai" ], [ "Aditya_Chopra", "wasBornIn", "Mumbai" ], [ "Aishwarya_Rai_Bachchan", "hasWonPrize", "Filmfare_Awards" ], [ "Aishwarya_Rai_Bachchan", "livesIn", "Mumbai" ], [ "Ajay_Devgan", "hasWonPrize", "Filmfare_Awards" ], [ "Ajay_Devgan", "livesIn", "Mumbai" ], [ "Akshay_Kumar", "hasWonPrize", "Filmfare_Awards" ], [ "Akshay_Kumar", "livesIn", "Mumbai" ], [ "Akshaye_Khanna", "hasWonPrize", "Filmfare_Awards" ], [ "Akshaye_Khanna", "wasBornIn", "Mumbai" ], [ "Amitabh_Bachchan", "hasWonPrize", "Filmfare_Awards" ], [ "Amitabh_Bachchan", "livesIn", "Mumbai" ], [ "Amjad_Khan", "diedIn", "Mumbai" ], [ "Amjad_Khan", "hasWonPrize", "Filmfare_Awards" ], [ "Amol_Palekar", "hasWonPrize", "Filmfare_Awards" ], [ "Amol_Palekar", "wasBornIn", "Mumbai" ], [ "Amrish_Puri", "diedIn", "Mumbai" ], [ "Amrish_Puri", "hasWonPrize", "Filmfare_Awards" ], [ "Anand_Bakshi", "diedIn", "Mumbai" ], [ "Anand_Bakshi", "hasWonPrize", "Filmfare_Awards" ], [ "Anil_Kapoor", "hasWonPrize", "Filmfare_Awards" ], [ "Anil_Kapoor", "wasBornIn", "Mumbai" ], [ "Arbaaz_Khan_(Indian_actor)", "hasWonPrize", "Filmfare_Awards" ], [ "Arbaaz_Khan_(Indian_actor)", "wasBornIn", "Mumbai" ], [ "Arjun_Rampal", "hasWonPrize", "Filmfare_Awards" ], [ "Arjun_Rampal", "livesIn", "Mumbai" ], [ "Arshad_Warsi", "hasWonPrize", "Filmfare_Awards" ], [ "Arshad_Warsi", "wasBornIn", "Mumbai" ], [ "Aruna_Irani", "hasWonPrize", "Filmfare_Awards" ], [ "Aruna_Irani", "wasBornIn", "Mumbai" ], [ "Asha_Parekh", "hasWonPrize", "Filmfare_Awards" ], [ "Asha_Parekh", "wasBornIn", "Mumbai" ], [ "Ashok_Kumar", "diedIn", "Mumbai" ], [ "Ashok_Kumar", "hasWonPrize", "Filmfare_Awards" ], [ "Ashok_Kumar", "livesIn", "Mumbai" ], [ "Asin", "hasWonPrize", "Filmfare_Awards" ], [ "Asin", "livesIn", "Mumbai" ], [ "Ayesha_Takia", "hasWonPrize", "Filmfare_Awards" ], [ "Ayesha_Takia", "wasBornIn", "Mumbai" ], [ "Baldev_Raj_Chopra", "diedIn", "Mumbai" ], [ "Baldev_Raj_Chopra", "hasWonPrize", "Filmfare_Awards" ], [ "Bharat_Bhushan", "diedIn", "Mumbai" ], [ "Bharat_Bhushan", "hasWonPrize", "Filmfare_Awards" ], [ "Bimal_Roy", "diedIn", "Mumbai" ], [ "Bimal_Roy", "hasWonPrize", "Filmfare_Awards" ], [ "Bina_Rai", "diedIn", "Mumbai" ], [ "Bina_Rai", "hasWonPrize", "Filmfare_Awards" ], [ "Bobby_Deol", "hasWonPrize", "Filmfare_Awards" ], [ "Bobby_Deol", "wasBornIn", "Mumbai" ], [ "Boman_Irani", "hasWonPrize", "Filmfare_Awards" ], [ "Boman_Irani", "wasBornIn", "Mumbai" ], [ "Danny_Denzongpa", "hasWonPrize", "Filmfare_Awards" ], [ "Danny_Denzongpa", "livesIn", "Mumbai" ], [ "Dev_Anand", "hasWonPrize", "Filmfare_Awards" ], [ "Dev_Anand", "livesIn", "Mumbai" ], [ "Dharmendra", "hasChild", "Bobby_Deol" ], [ "Dharmendra", "hasChild", "Esha_Deol" ], [ "Dharmendra", "hasChild", "Sunny_Deol" ], [ "Dharmendra", "hasWonPrize", "Filmfare_Awards" ], [ "Dharmendra", "isMarriedTo", "Hema_Malini" ], [ "Dilip_Kumar", "hasWonPrize", "Filmfare_Awards" ], [ "Dilip_Kumar", "livesIn", "Mumbai" ], [ "Durga_Khote", "diedIn", "Mumbai" ], [ "Durga_Khote", "hasWonPrize", "Filmfare_Awards" ], [ "Durga_Khote", "wasBornIn", "Mumbai" ], [ "Esha_Deol", "hasWonPrize", "Filmfare_Awards" ], [ "Esha_Deol", "wasBornIn", "Mumbai" ], [ "Farhan_Akhtar", "hasWonPrize", "Filmfare_Awards" ], [ "Farhan_Akhtar", "wasBornIn", "Mumbai" ], [ "Genelia_D'Souza", "hasWonPrize", "Filmfare_Awards" ], [ "Genelia_D'Souza", "wasBornIn", "Mumbai" ], [ "Hema_Malini", "hasWonPrize", "Filmfare_Awards" ], [ "Hema_Malini", "isMarriedTo", "Dharmendra" ], [ "Honey_Irani", "hasWonPrize", "Filmfare_Awards" ], [ "Honey_Irani", "wasBornIn", "Mumbai" ], [ "Hrithik_Roshan", "hasWonPrize", "Filmfare_Awards" ], [ "Hrithik_Roshan", "wasBornIn", "Mumbai" ], [ "I._S._Johar", "diedIn", "Mumbai" ], [ "I._S._Johar", "hasWonPrize", "Filmfare_Awards" ], [ "Ileana_D'Cruz", "hasWonPrize", "Filmfare_Awards" ], [ "Ileana_D'Cruz", "wasBornIn", "Mumbai" ], [ "J._P._Dutta", "hasWonPrize", "Filmfare_Awards" ], [ "J._P._Dutta", "wasBornIn", "Mumbai" ], [ "Jackie_Shroff", "hasWonPrize", "Filmfare_Awards" ], [ "Jackie_Shroff", "wasBornIn", "Mumbai" ], [ "Jeet_Gannguli", "hasWonPrize", "Filmfare_Awards" ], [ "Jeet_Gannguli", "wasBornIn", "Mumbai" ], [ "Julien_Escudé", "isAffiliatedTo", "France_national_football_team" ], [ "Julien_Escudé", "playsFor", "France_national_football_team" ], [ "Kajol", "hasWonPrize", "Filmfare_Awards" ], [ "Kajol", "wasBornIn", "Mumbai" ], [ "Karan_Johar", "hasWonPrize", "Filmfare_Awards" ], [ "Karan_Johar", "wasBornIn", "Mumbai" ], [ "Karisma_Kapoor", "hasWonPrize", "Filmfare_Awards" ], [ "Karisma_Kapoor", "wasBornIn", "Mumbai" ], [ "Laxmikant–Pyarelal", "hasWonPrize", "Filmfare_Awards" ], [ "Laxmikant–Pyarelal", "wasBornIn", "Mumbai" ], [ "Madhuri_Dixit", "hasWonPrize", "Filmfare_Awards" ], [ "Madhuri_Dixit", "wasBornIn", "Mumbai" ], [ "Mahesh_Bhatt", "hasWonPrize", "Filmfare_Awards" ], [ "Mahesh_Bhatt", "wasBornIn", "Mumbai" ], [ "Majrooh_Sultanpuri", "diedIn", "Mumbai" ], [ "Majrooh_Sultanpuri", "hasWonPrize", "Filmfare_Awards" ], [ "Mamta_Kulkarni", "hasWonPrize", "Filmfare_Awards" ], [ "Mamta_Kulkarni", "wasBornIn", "Mumbai" ], [ "Meena_Kumari", "diedIn", "Mumbai" ], [ "Meena_Kumari", "hasWonPrize", "Filmfare_Awards" ], [ "Mehmood_Ali", "hasWonPrize", "Filmfare_Awards" ], [ "Mehmood_Ali", "wasBornIn", "Mumbai" ], [ "Mumtaz_(actress)", "hasWonPrize", "Filmfare_Awards" ], [ "Mumtaz_(actress)", "wasBornIn", "Mumbai" ], [ "Nadira_(actress)", "diedIn", "Mumbai" ], [ "Nadira_(actress)", "hasWonPrize", "Filmfare_Awards" ], [ "Nanda_(actress)", "diedIn", "Mumbai" ], [ "Nanda_(actress)", "hasWonPrize", "Filmfare_Awards" ], [ "Nargis", "diedIn", "Mumbai" ], [ "Nargis", "hasWonPrize", "Filmfare_Awards" ], [ "Nasir_Hussain", "diedIn", "Mumbai" ], [ "Nasir_Hussain", "hasWonPrize", "Filmfare_Awards" ], [ "Nutan", "hasWonPrize", "Filmfare_Awards" ], [ "Nutan", "wasBornIn", "Mumbai" ], [ "O._P._Nayyar", "diedIn", "Mumbai" ], [ "O._P._Nayyar", "hasWonPrize", "Filmfare_Awards" ], [ "Paresh_Rawal", "hasWonPrize", "Filmfare_Awards" ], [ "Paresh_Rawal", "wasBornIn", "Mumbai" ], [ "Pran_(actor)", "diedIn", "Mumbai" ], [ "Pran_(actor)", "hasWonPrize", "Filmfare_Awards" ], [ "Pran_(actor)", "livesIn", "Mumbai" ], [ "R._D._Burman", "diedIn", "Mumbai" ], [ "R._D._Burman", "hasWonPrize", "Filmfare_Awards" ], [ "Raaj_Kumar", "diedIn", "Mumbai" ], [ "Raaj_Kumar", "hasWonPrize", "Filmfare_Awards" ], [ "Rahul_Khanna", "hasWonPrize", "Filmfare_Awards" ], [ "Rahul_Khanna", "wasBornIn", "Mumbai" ], [ "Raj_Kapoor", "diedIn", "Mumbai" ], [ "Raj_Kapoor", "hasWonPrize", "Filmfare_Awards" ], [ "Raj_Khosla", "diedIn", "Mumbai" ], [ "Raj_Khosla", "hasWonPrize", "Filmfare_Awards" ], [ "Rajendra_Krishan", "diedIn", "Mumbai" ], [ "Rajendra_Krishan", "hasWonPrize", "Filmfare_Awards" ], [ "Rajesh_Khanna", "diedIn", "Mumbai" ], [ "Rajesh_Khanna", "hasWonPrize", "Filmfare_Awards" ], [ "Rajesh_Khanna", "livesIn", "Mumbai" ], [ "Rajesh_Roshan", "hasWonPrize", "Filmfare_Awards" ], [ "Rajesh_Roshan", "wasBornIn", "Mumbai" ], [ "Rajinder_Singh_Bedi", "diedIn", "Mumbai" ], [ "Rajinder_Singh_Bedi", "hasWonPrize", "Filmfare_Awards" ], [ "Rakesh_Roshan", "hasWonPrize", "Filmfare_Awards" ], [ "Rakesh_Roshan", "wasBornIn", "Mumbai" ], [ "Ram_Gopal_Varma", "hasWonPrize", "Filmfare_Awards" ], [ "Ram_Gopal_Varma", "livesIn", "Mumbai" ], [ "Ramanand_Sagar", "diedIn", "Mumbai" ], [ "Ramanand_Sagar", "hasWonPrize", "Filmfare_Awards" ], [ "Rani_Mukerji", "hasWonPrize", "Filmfare_Awards" ], [ "Rani_Mukerji", "wasBornIn", "Mumbai" ], [ "Ravi_(music_director)", "diedIn", "Mumbai" ], [ "Ravi_(music_director)", "hasWonPrize", "Filmfare_Awards" ], [ "Renu_Saluja", "diedIn", "Mumbai" ], [ "Renu_Saluja", "hasWonPrize", "Filmfare_Awards" ], [ "Rishi_Kapoor", "hasWonPrize", "Filmfare_Awards" ], [ "Rishi_Kapoor", "livesIn", "Mumbai" ], [ "Rishi_Kapoor", "wasBornIn", "Mumbai" ], [ "Sachin_Bhowmick", "diedIn", "Mumbai" ], [ "Sachin_Bhowmick", "hasWonPrize", "Filmfare_Awards" ], [ "Sachin_Bhowmick", "playsFor", "France_national_football_team" ], [ "Sadashiv_Amrapurkar", "hasWonPrize", "Filmfare_Awards" ], [ "Sadashiv_Amrapurkar", "livesIn", "Mumbai" ], [ "Saeed_Akhtar_Mirza", "hasWonPrize", "Filmfare_Awards" ], [ "Saeed_Akhtar_Mirza", "wasBornIn", "Mumbai" ], [ "Sahir_Ludhianvi", "diedIn", "Mumbai" ], [ "Sahir_Ludhianvi", "hasWonPrize", "Filmfare_Awards" ], [ "Salil_Chowdhury", "diedIn", "Mumbai" ], [ "Salil_Chowdhury", "hasWonPrize", "Filmfare_Awards" ], [ "Salman_Khan", "hasWonPrize", "Filmfare_Awards" ], [ "Salman_Khan", "livesIn", "Mumbai" ], [ "Sanjay_Dutt", "hasWonPrize", "Filmfare_Awards" ], [ "Sanjay_Dutt", "wasBornIn", "Mumbai" ], [ "Sanjay_Leela_Bhansali", "hasWonPrize", "Filmfare_Awards" ], [ "Sanjay_Leela_Bhansali", "wasBornIn", "Mumbai" ], [ "Sanjeev_Kumar", "diedIn", "Mumbai" ], [ "Sanjeev_Kumar", "hasWonPrize", "Filmfare_Awards" ], [ "Shabana_Azmi", "hasWonPrize", "Filmfare_Awards" ], [ "Shabana_Azmi", "livesIn", "Mumbai" ], [ "Shahrukh_Khan", "hasWonPrize", "Filmfare_Awards" ], [ "Shahrukh_Khan", "livesIn", "Mumbai" ], [ "Shakti_Samanta", "diedIn", "Mumbai" ], [ "Shakti_Samanta", "hasWonPrize", "Filmfare_Awards" ], [ "Shammi_Kapoor", "diedIn", "Mumbai" ], [ "Shammi_Kapoor", "hasWonPrize", "Filmfare_Awards" ], [ "Shammi_Kapoor", "wasBornIn", "Mumbai" ], [ "Shankar_Jaikishan", "diedIn", "Mumbai" ], [ "Shankar_Jaikishan", "hasWonPrize", "Filmfare_Awards" ], [ "Shashi_Kapoor", "hasWonPrize", "Filmfare_Awards" ], [ "Shashi_Kapoor", "livesIn", "Mumbai" ], [ "Shiney_Ahuja", "hasWonPrize", "Filmfare_Awards" ], [ "Shiney_Ahuja", "livesIn", "Mumbai" ], [ "Smita_Patil", "diedIn", "Mumbai" ], [ "Smita_Patil", "hasWonPrize", "Filmfare_Awards" ], [ "Sridevi", "hasWonPrize", "Filmfare_Awards" ], [ "Sridevi", "livesIn", "Mumbai" ], [ "Sunil_Dutt", "diedIn", "Mumbai" ], [ "Sunil_Dutt", "hasWonPrize", "Filmfare_Awards" ], [ "Sunny_Deol", "hasWonPrize", "Filmfare_Awards" ], [ "Sunny_Deol", "livesIn", "Mumbai" ], [ "Supriya_Pathak", "hasWonPrize", "Filmfare_Awards" ], [ "Supriya_Pathak", "wasBornIn", "Mumbai" ], [ "Sushmita_Sen", "hasWonPrize", "Filmfare_Awards" ], [ "Sushmita_Sen", "livesIn", "Mumbai" ], [ "Tanuja", "hasWonPrize", "Filmfare_Awards" ], [ "Tanuja", "wasBornIn", "Mumbai" ], [ "Vijay_Anand_(Hindi_film_maker)", "diedIn", "Mumbai" ], [ "Vijay_Anand_(Hindi_film_maker)", "hasWonPrize", "Filmfare_Awards" ], [ "Vijay_Bhatt", "diedIn", "Mumbai" ], [ "Vijay_Bhatt", "hasWonPrize", "Filmfare_Awards" ], [ "Wajahat_Mirza", "hasWonPrize", "Filmfare_Awards" ], [ "Wajahat_Mirza", "livesIn", "Mumbai" ], [ "Yash_Chopra", "diedIn", "Mumbai" ], [ "Yash_Chopra", "hasWonPrize", "Filmfare_Awards" ], [ "Zeenat_Aman", "hasWonPrize", "Filmfare_Awards" ], [ "Zeenat_Aman", "wasBornIn", "Mumbai" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 91912, AD_Alcorcón 12440, Albacete_Balompié 109345, Alberto_Quintero_Medina 93717, Alberto_Saavedra 112008, Andrés_del_Campo_Santos 75848, Antoni_Lima_Solá 25540, Antonio_Domingo_Rojas_Melero 84778, Antonio_Soldevilla 92686, Bernabé_Ballester 8665, Burjassot_CF 1320, CD_Alcoyano 114693, CD_Numancia 11500, CD_Olímpic_de_Xàtiva 108517, Dani_Quintana 9797, David_Rangel_Pastor 92122, Deportivo_Alavés 23338, Donyell_Marshall 8855, Fran_Moreno 57067, Francisco_Montañés 85588, Giovanni_Pérez_Rodríguez 18809, Jonathan_Ñíguez 94812, José_Javier_Rubio 87493, José_Luis_Oltra 94054, Manuel_Blanco_Rodríguez 91673, Marañón_(footballer) 120651, Ontinyent_CF 21286, Racing_Club_Portuense 36722, Rafael_Barber 43674, Real_Madrid_C 94180, Real_Madrid_Castilla 71406, Real_Murcia_Imperial 86850, Spain_national_under-16_football_team 945, Spain_national_under-21_football_team 85265, UD_Alzira 35975, Valencia 98798, Valencia_CF 23305, Valencia_CF_Mestalla 119700, Vicente_Romero_Romero 40235, Villarreal_CF_B 118104, male 53677, Álex_Pérez 80516, Álvaro_Cervera src, edge_attr, dst 109345, hasGender, 118104 109345, isAffiliatedTo, 120651 109345, playsFor, 120651 93717, hasGender, 118104 93717, isAffiliatedTo, 114693 93717, isAffiliatedTo, 120651 93717, playsFor, 114693 93717, playsFor, 120651 112008, hasGender, 118104 112008, isAffiliatedTo, 120651 112008, isAffiliatedTo, 43674 112008, isAffiliatedTo, 94180 112008, playsFor, 120651 112008, playsFor, 43674 112008, playsFor, 94180 75848, hasGender, 118104 75848, isAffiliatedTo, 120651 75848, isAffiliatedTo, 94180 75848, playsFor, 94180 25540, isAffiliatedTo, 120651 25540, isAffiliatedTo, 71406 25540, playsFor, 120651 25540, playsFor, 71406 84778, hasGender, 118104 84778, isAffiliatedTo, 1320 84778, isAffiliatedTo, 120651 84778, isAffiliatedTo, 945 84778, playsFor, 1320 84778, playsFor, 120651 92686, isAffiliatedTo, 1320 92686, isAffiliatedTo, 11500 92686, isAffiliatedTo, 120651 92686, isAffiliatedTo, 43674 92686, isAffiliatedTo, 94180 92686, isAffiliatedTo, 86850 92686, isAffiliatedTo, 23305 92686, playsFor, 1320 92686, playsFor, 11500 92686, playsFor, 120651 92686, playsFor, 43674 92686, playsFor, 94180 92686, playsFor, 86850 92686, playsFor, 23305 108517, hasGender, 118104 108517, playsFor, 11500 108517, playsFor, 120651 108517, playsFor, 85265 108517, playsFor, 98798 108517, playsFor, 23305 9797, hasGender, 118104 9797, isAffiliatedTo, 92122 9797, isAffiliatedTo, 120651 9797, isAffiliatedTo, 85265 9797, isAffiliatedTo, 23305 9797, playsFor, 8665 9797, playsFor, 92122 9797, playsFor, 120651 9797, playsFor, 85265 9797, playsFor, 98798 9797, playsFor, 23305 23338, hasGender, 118104 8855, hasGender, 118104 8855, playsFor, 12440 8855, playsFor, 1320 8855, playsFor, 114693 8855, playsFor, 11500 8855, playsFor, 92122 8855, playsFor, 120651 57067, hasGender, 118104 57067, playsFor, 91912 57067, playsFor, 120651 57067, playsFor, 86850 57067, playsFor, 945 57067, playsFor, 40235 85588, hasGender, 118104 85588, isAffiliatedTo, 8665 85588, isAffiliatedTo, 1320 85588, isAffiliatedTo, 120651 85588, isAffiliatedTo, 21286 85588, isAffiliatedTo, 98798 85588, isAffiliatedTo, 23305 85588, playsFor, 8665 85588, playsFor, 1320 85588, playsFor, 120651 85588, playsFor, 21286 85588, playsFor, 23305 18809, hasGender, 118104 18809, playsFor, 91912 18809, playsFor, 120651 18809, playsFor, 43674 18809, playsFor, 94180 18809, playsFor, 23305 18809, playsFor, 40235 94812, hasGender, 118104 94812, playsFor, 1320 94812, playsFor, 92122 94812, playsFor, 120651 94812, playsFor, 21286 94812, playsFor, 71406 94812, playsFor, 23305 94812, playsFor, 40235 87493, isAffiliatedTo, 120651 87493, playsFor, 120651 87493, playsFor, 23305 87493, wasBornIn, 35975 94054, playsFor, 12440 94054, playsFor, 120651 91673, hasGender, 118104 91673, isAffiliatedTo, 120651 91673, playsFor, 120651 36722, hasGender, 118104 36722, isAffiliatedTo, 120651 36722, isAffiliatedTo, 86850 36722, isAffiliatedTo, 98798 36722, isAffiliatedTo, 23305 36722, playsFor, 120651 36722, playsFor, 23305 119700, hasGender, 118104 119700, isAffiliatedTo, 8665 119700, isAffiliatedTo, 120651 119700, isAffiliatedTo, 85265 119700, isAffiliatedTo, 98798 119700, isAffiliatedTo, 23305 119700, playsFor, 8665 119700, playsFor, 120651 119700, playsFor, 85265 119700, playsFor, 23305 119700, wasBornIn, 35975 53677, hasGender, 118104 53677, isAffiliatedTo, 12440 53677, isAffiliatedTo, 120651 53677, isAffiliatedTo, 43674 53677, isAffiliatedTo, 94180 53677, playsFor, 12440 53677, playsFor, 120651 53677, playsFor, 43674 53677, playsFor, 94180 80516, isAffiliatedTo, 120651 80516, isAffiliatedTo, 945 80516, isAffiliatedTo, 98798 80516, playsFor, 120651 80516, playsFor, 945 80516, playsFor, 98798 Question: How are Donyell_Marshall and Ontinyent_CF related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Donyell_Marshall", "Ontinyent_CF" ], "valid_edges": [ [ "Alberto_Quintero_Medina", "hasGender", "male" ], [ "Alberto_Quintero_Medina", "isAffiliatedTo", "Ontinyent_CF" ], [ "Alberto_Quintero_Medina", "playsFor", "Ontinyent_CF" ], [ "Alberto_Saavedra", "hasGender", "male" ], [ "Alberto_Saavedra", "isAffiliatedTo", "CD_Numancia" ], [ "Alberto_Saavedra", "isAffiliatedTo", "Ontinyent_CF" ], [ "Alberto_Saavedra", "playsFor", "CD_Numancia" ], [ "Alberto_Saavedra", "playsFor", "Ontinyent_CF" ], [ "Andrés_del_Campo_Santos", "hasGender", "male" ], [ "Andrés_del_Campo_Santos", "isAffiliatedTo", "Ontinyent_CF" ], [ "Andrés_del_Campo_Santos", "isAffiliatedTo", "Real_Madrid_C" ], [ "Andrés_del_Campo_Santos", "isAffiliatedTo", "Real_Madrid_Castilla" ], [ "Andrés_del_Campo_Santos", "playsFor", "Ontinyent_CF" ], [ "Andrés_del_Campo_Santos", "playsFor", "Real_Madrid_C" ], [ "Andrés_del_Campo_Santos", "playsFor", "Real_Madrid_Castilla" ], [ "Antoni_Lima_Solá", "hasGender", "male" ], [ "Antoni_Lima_Solá", "isAffiliatedTo", "Ontinyent_CF" ], [ "Antoni_Lima_Solá", "isAffiliatedTo", "Real_Madrid_Castilla" ], [ "Antoni_Lima_Solá", "playsFor", "Real_Madrid_Castilla" ], [ "Antonio_Domingo_Rojas_Melero", "isAffiliatedTo", "Ontinyent_CF" ], [ "Antonio_Domingo_Rojas_Melero", "isAffiliatedTo", "Real_Murcia_Imperial" ], [ "Antonio_Domingo_Rojas_Melero", "playsFor", "Ontinyent_CF" ], [ "Antonio_Domingo_Rojas_Melero", "playsFor", "Real_Murcia_Imperial" ], [ "Antonio_Soldevilla", "hasGender", "male" ], [ "Antonio_Soldevilla", "isAffiliatedTo", "CD_Alcoyano" ], [ "Antonio_Soldevilla", "isAffiliatedTo", "Ontinyent_CF" ], [ "Antonio_Soldevilla", "isAffiliatedTo", "Spain_national_under-21_football_team" ], [ "Antonio_Soldevilla", "playsFor", "CD_Alcoyano" ], [ "Antonio_Soldevilla", "playsFor", "Ontinyent_CF" ], [ "Bernabé_Ballester", "isAffiliatedTo", "CD_Alcoyano" ], [ "Bernabé_Ballester", "isAffiliatedTo", "CD_Olímpic_de_Xàtiva" ], [ "Bernabé_Ballester", "isAffiliatedTo", "Ontinyent_CF" ], [ "Bernabé_Ballester", "isAffiliatedTo", "Real_Madrid_C" ], [ "Bernabé_Ballester", "isAffiliatedTo", "Real_Madrid_Castilla" ], [ "Bernabé_Ballester", "isAffiliatedTo", "Spain_national_under-16_football_team" ], [ "Bernabé_Ballester", "isAffiliatedTo", "Valencia_CF_Mestalla" ], [ "Bernabé_Ballester", "playsFor", "CD_Alcoyano" ], [ "Bernabé_Ballester", "playsFor", "CD_Olímpic_de_Xàtiva" ], [ "Bernabé_Ballester", "playsFor", "Ontinyent_CF" ], [ "Bernabé_Ballester", "playsFor", "Real_Madrid_C" ], [ "Bernabé_Ballester", "playsFor", "Real_Madrid_Castilla" ], [ "Bernabé_Ballester", "playsFor", "Spain_national_under-16_football_team" ], [ "Bernabé_Ballester", "playsFor", "Valencia_CF_Mestalla" ], [ "Dani_Quintana", "hasGender", "male" ], [ "Dani_Quintana", "playsFor", "CD_Olímpic_de_Xàtiva" ], [ "Dani_Quintana", "playsFor", "Ontinyent_CF" ], [ "Dani_Quintana", "playsFor", "UD_Alzira" ], [ "Dani_Quintana", "playsFor", "Valencia_CF" ], [ "Dani_Quintana", "playsFor", "Valencia_CF_Mestalla" ], [ "David_Rangel_Pastor", "hasGender", "male" ], [ "David_Rangel_Pastor", "isAffiliatedTo", "Deportivo_Alavés" ], [ "David_Rangel_Pastor", "isAffiliatedTo", "Ontinyent_CF" ], [ "David_Rangel_Pastor", "isAffiliatedTo", "UD_Alzira" ], [ "David_Rangel_Pastor", "isAffiliatedTo", "Valencia_CF_Mestalla" ], [ "David_Rangel_Pastor", "playsFor", "Burjassot_CF" ], [ "David_Rangel_Pastor", "playsFor", "Deportivo_Alavés" ], [ "David_Rangel_Pastor", "playsFor", "Ontinyent_CF" ], [ "David_Rangel_Pastor", "playsFor", "UD_Alzira" ], [ "David_Rangel_Pastor", "playsFor", "Valencia_CF" ], [ "David_Rangel_Pastor", "playsFor", "Valencia_CF_Mestalla" ], [ "Donyell_Marshall", "hasGender", "male" ], [ "Fran_Moreno", "hasGender", "male" ], [ "Fran_Moreno", "playsFor", "Albacete_Balompié" ], [ "Fran_Moreno", "playsFor", "CD_Alcoyano" ], [ "Fran_Moreno", "playsFor", "CD_Numancia" ], [ "Fran_Moreno", "playsFor", "CD_Olímpic_de_Xàtiva" ], [ "Fran_Moreno", "playsFor", "Deportivo_Alavés" ], [ "Fran_Moreno", "playsFor", "Ontinyent_CF" ], [ "Francisco_Montañés", "hasGender", "male" ], [ "Francisco_Montañés", "playsFor", "AD_Alcorcón" ], [ "Francisco_Montañés", "playsFor", "Ontinyent_CF" ], [ "Francisco_Montañés", "playsFor", "Spain_national_under-16_football_team" ], [ "Francisco_Montañés", "playsFor", "Spain_national_under-21_football_team" ], [ "Francisco_Montañés", "playsFor", "Villarreal_CF_B" ], [ "Giovanni_Pérez_Rodríguez", "hasGender", "male" ], [ "Giovanni_Pérez_Rodríguez", "isAffiliatedTo", "Burjassot_CF" ], [ "Giovanni_Pérez_Rodríguez", "isAffiliatedTo", "CD_Alcoyano" ], [ "Giovanni_Pérez_Rodríguez", "isAffiliatedTo", "Ontinyent_CF" ], [ "Giovanni_Pérez_Rodríguez", "isAffiliatedTo", "Racing_Club_Portuense" ], [ "Giovanni_Pérez_Rodríguez", "isAffiliatedTo", "Valencia_CF" ], [ "Giovanni_Pérez_Rodríguez", "isAffiliatedTo", "Valencia_CF_Mestalla" ], [ "Giovanni_Pérez_Rodríguez", "playsFor", "Burjassot_CF" ], [ "Giovanni_Pérez_Rodríguez", "playsFor", "CD_Alcoyano" ], [ "Giovanni_Pérez_Rodríguez", "playsFor", "Ontinyent_CF" ], [ "Giovanni_Pérez_Rodríguez", "playsFor", "Racing_Club_Portuense" ], [ "Giovanni_Pérez_Rodríguez", "playsFor", "Valencia_CF_Mestalla" ], [ "Jonathan_Ñíguez", "hasGender", "male" ], [ "Jonathan_Ñíguez", "playsFor", "AD_Alcorcón" ], [ "Jonathan_Ñíguez", "playsFor", "Ontinyent_CF" ], [ "Jonathan_Ñíguez", "playsFor", "Real_Madrid_C" ], [ "Jonathan_Ñíguez", "playsFor", "Real_Madrid_Castilla" ], [ "Jonathan_Ñíguez", "playsFor", "Valencia_CF_Mestalla" ], [ "Jonathan_Ñíguez", "playsFor", "Villarreal_CF_B" ], [ "José_Javier_Rubio", "hasGender", "male" ], [ "José_Javier_Rubio", "playsFor", "CD_Alcoyano" ], [ "José_Javier_Rubio", "playsFor", "Deportivo_Alavés" ], [ "José_Javier_Rubio", "playsFor", "Ontinyent_CF" ], [ "José_Javier_Rubio", "playsFor", "Racing_Club_Portuense" ], [ "José_Javier_Rubio", "playsFor", "Real_Murcia_Imperial" ], [ "José_Javier_Rubio", "playsFor", "Valencia_CF_Mestalla" ], [ "José_Javier_Rubio", "playsFor", "Villarreal_CF_B" ], [ "José_Luis_Oltra", "isAffiliatedTo", "Ontinyent_CF" ], [ "José_Luis_Oltra", "playsFor", "Ontinyent_CF" ], [ "José_Luis_Oltra", "playsFor", "Valencia_CF_Mestalla" ], [ "José_Luis_Oltra", "wasBornIn", "Valencia" ], [ "Manuel_Blanco_Rodríguez", "playsFor", "Albacete_Balompié" ], [ "Manuel_Blanco_Rodríguez", "playsFor", "Ontinyent_CF" ], [ "Marañón_(footballer)", "hasGender", "male" ], [ "Marañón_(footballer)", "isAffiliatedTo", "Ontinyent_CF" ], [ "Marañón_(footballer)", "playsFor", "Ontinyent_CF" ], [ "Rafael_Barber", "hasGender", "male" ], [ "Rafael_Barber", "isAffiliatedTo", "Ontinyent_CF" ], [ "Rafael_Barber", "isAffiliatedTo", "Spain_national_under-16_football_team" ], [ "Rafael_Barber", "isAffiliatedTo", "Valencia_CF" ], [ "Rafael_Barber", "isAffiliatedTo", "Valencia_CF_Mestalla" ], [ "Rafael_Barber", "playsFor", "Ontinyent_CF" ], [ "Rafael_Barber", "playsFor", "Valencia_CF_Mestalla" ], [ "Vicente_Romero_Romero", "hasGender", "male" ], [ "Vicente_Romero_Romero", "isAffiliatedTo", "Burjassot_CF" ], [ "Vicente_Romero_Romero", "isAffiliatedTo", "Ontinyent_CF" ], [ "Vicente_Romero_Romero", "isAffiliatedTo", "UD_Alzira" ], [ "Vicente_Romero_Romero", "isAffiliatedTo", "Valencia_CF" ], [ "Vicente_Romero_Romero", "isAffiliatedTo", "Valencia_CF_Mestalla" ], [ "Vicente_Romero_Romero", "playsFor", "Burjassot_CF" ], [ "Vicente_Romero_Romero", "playsFor", "Ontinyent_CF" ], [ "Vicente_Romero_Romero", "playsFor", "UD_Alzira" ], [ "Vicente_Romero_Romero", "playsFor", "Valencia_CF_Mestalla" ], [ "Vicente_Romero_Romero", "wasBornIn", "Valencia" ], [ "Álex_Pérez", "hasGender", "male" ], [ "Álex_Pérez", "isAffiliatedTo", "Albacete_Balompié" ], [ "Álex_Pérez", "isAffiliatedTo", "Ontinyent_CF" ], [ "Álex_Pérez", "isAffiliatedTo", "Real_Madrid_C" ], [ "Álex_Pérez", "isAffiliatedTo", "Real_Madrid_Castilla" ], [ "Álex_Pérez", "playsFor", "Albacete_Balompié" ], [ "Álex_Pérez", "playsFor", "Ontinyent_CF" ], [ "Álex_Pérez", "playsFor", "Real_Madrid_C" ], [ "Álex_Pérez", "playsFor", "Real_Madrid_Castilla" ], [ "Álvaro_Cervera", "isAffiliatedTo", "Ontinyent_CF" ], [ "Álvaro_Cervera", "isAffiliatedTo", "Spain_national_under-21_football_team" ], [ "Álvaro_Cervera", "isAffiliatedTo", "Valencia_CF" ], [ "Álvaro_Cervera", "playsFor", "Ontinyent_CF" ], [ "Álvaro_Cervera", "playsFor", "Spain_national_under-21_football_team" ], [ "Álvaro_Cervera", "playsFor", "Valencia_CF" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 98062, Arthur_M._Lesk 88774, Ebrahim_Ashtiani 63186, Maryam_Mirzakhani 98101, Princeton_University 51450, Tehran src, edge_attr, dst 98062, graduatedFrom, 98101 98062, worksAt, 98101 88774, wasBornIn, 51450 63186, wasBornIn, 51450 63186, worksAt, 98101 Question: For what reason are Arthur_M._Lesk and Ebrahim_Ashtiani associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Arthur_M._Lesk", "Ebrahim_Ashtiani" ], "valid_edges": [ [ "Arthur_M._Lesk", "graduatedFrom", "Princeton_University" ], [ "Arthur_M._Lesk", "worksAt", "Princeton_University" ], [ "Ebrahim_Ashtiani", "wasBornIn", "Tehran" ], [ "Maryam_Mirzakhani", "wasBornIn", "Tehran" ], [ "Maryam_Mirzakhani", "worksAt", "Princeton_University" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 60669, Columbia_University 39982, E._L._Doctorow 87045, Fritz_Balogh 115492, Germany_national_football_team 5824, Jeremiah_P._Ostriker 55437, New_York_City 34751, Rashid_Khalidi 32545, Richard_Lewontin 80870, Robert_Fogel 103156, Samuel_P._Huntington 13277, Wesley_Clair_Mitchell src, edge_attr, dst 60669, isLocatedIn, 55437 39982, graduatedFrom, 60669 39982, livesIn, 55437 87045, isAffiliatedTo, 115492 87045, playsFor, 115492 5824, wasBornIn, 55437 5824, worksAt, 60669 34751, livesIn, 55437 34751, wasBornIn, 55437 34751, worksAt, 60669 32545, graduatedFrom, 60669 32545, wasBornIn, 55437 32545, worksAt, 60669 80870, graduatedFrom, 60669 80870, wasBornIn, 55437 103156, wasBornIn, 55437 103156, worksAt, 60669 13277, diedIn, 55437 13277, playsFor, 115492 Question: In what context are E._L._Doctorow and Fritz_Balogh connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "E._L._Doctorow", "Fritz_Balogh" ], "valid_edges": [ [ "Columbia_University", "isLocatedIn", "New_York_City" ], [ "E._L._Doctorow", "graduatedFrom", "Columbia_University" ], [ "E._L._Doctorow", "livesIn", "New_York_City" ], [ "Fritz_Balogh", "isAffiliatedTo", "Germany_national_football_team" ], [ "Fritz_Balogh", "playsFor", "Germany_national_football_team" ], [ "Jeremiah_P._Ostriker", "wasBornIn", "New_York_City" ], [ "Jeremiah_P._Ostriker", "worksAt", "Columbia_University" ], [ "Rashid_Khalidi", "livesIn", "New_York_City" ], [ "Rashid_Khalidi", "wasBornIn", "New_York_City" ], [ "Rashid_Khalidi", "worksAt", "Columbia_University" ], [ "Richard_Lewontin", "graduatedFrom", "Columbia_University" ], [ "Richard_Lewontin", "wasBornIn", "New_York_City" ], [ "Richard_Lewontin", "worksAt", "Columbia_University" ], [ "Robert_Fogel", "graduatedFrom", "Columbia_University" ], [ "Robert_Fogel", "wasBornIn", "New_York_City" ], [ "Samuel_P._Huntington", "wasBornIn", "New_York_City" ], [ "Samuel_P._Huntington", "worksAt", "Columbia_University" ], [ "Wesley_Clair_Mitchell", "diedIn", "New_York_City" ], [ "Wesley_Clair_Mitchell", "playsFor", "Germany_national_football_team" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 33907, Belfast 118081, Christopher_McQuarrie 32269, Kenneth_Branagh 14474, Michael_Collins_(footballer_born_1977) 110484, Valkyrie_(film) src, edge_attr, dst 118081, created, 110484 32269, actedIn, 110484 32269, wasBornIn, 33907 14474, wasBornIn, 33907 Question: In what context are Christopher_McQuarrie and Michael_Collins_(footballer_born_1977) connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Christopher_McQuarrie", "Michael_Collins_(footballer_born_1977)" ], "valid_edges": [ [ "Christopher_McQuarrie", "created", "Valkyrie_(film)" ], [ "Kenneth_Branagh", "actedIn", "Valkyrie_(film)" ], [ "Kenneth_Branagh", "wasBornIn", "Belfast" ], [ "Michael_Collins_(footballer_born_1977)", "wasBornIn", "Belfast" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 19223, David_Lean 95032, John_Ford 70352, Legion_of_Merit 49582, This_Happy_Breed_(film) 92805, Walter_Bedell_Smith src, edge_attr, dst 19223, directed, 49582 95032, hasWonPrize, 70352 95032, influences, 19223 92805, hasWonPrize, 70352 Question: How are This_Happy_Breed_(film) and Walter_Bedell_Smith related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "This_Happy_Breed_(film)", "Walter_Bedell_Smith" ], "valid_edges": [ [ "David_Lean", "directed", "This_Happy_Breed_(film)" ], [ "John_Ford", "hasWonPrize", "Legion_of_Merit" ], [ "John_Ford", "influences", "David_Lean" ], [ "Walter_Bedell_Smith", "hasWonPrize", "Legion_of_Merit" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 95395, Alexander_von_Linsingen 17447, Alexandra_Feodorovna_(Charlotte_of_Prussia) 98163, Augusta_of_Saxe-Weimar-Eisenach 76290, Charles_II,_Grand_Duke_of_Mecklenburg-Strelitz 9521, Frederick_III,_German_Emperor 58629, Frederick_William_III_of_Prussia 20776, Frederick_William_II_of_Prussia 12377, Frederick_William_IV_of_Prussia 56422, Frederika_Louisa_of_Hesse-Darmstadt 7197, Friedrich_Ferdinand,_Duke_of_Schleswig-Holstein 107613, Friedrich_III_of_Germany 69292, Grand_Duke_Konstantin_Nikolayevich_of_Russia 72140, Grand_Duke_Michael_Nikolaevich_of_Russia 76189, Grand_Duke_Nicholas_Nikolaevich_of_Russia_(1831–1891) 51575, Hanover 89269, Landgravine_Friederike_of_Hesse-Darmstadt 38771, Louis_IX,_Landgrave_of_Hesse-Darmstadt 86860, Louise_of_Mecklenburg-Strelitz 67520, Order_of_the_Black_Eagle 23302, Order_of_the_Holy_Spirit 59830, Potsdam 57268, Prince_Albert_of_Prussia_(1809–1872) 119831, Prince_Charles_of_Prussia 64117, Prince_Wilhelm_of_Prussia_(1783–1851) 55085, Royal_Palace,_Wrocław 45624, Wilhelm_I_of_Germany 3621, William_I,_German_Emperor src, edge_attr, dst 95395, diedIn, 51575 95395, hasWonPrize, 67520 17447, hasChild, 69292 17447, hasChild, 72140 17447, hasChild, 76189 98163, hasWonPrize, 67520 98163, isMarriedTo, 45624 98163, isMarriedTo, 3621 76290, hasChild, 86860 76290, isMarriedTo, 89269 9521, hasWonPrize, 67520 58629, hasChild, 17447 58629, hasChild, 12377 58629, hasChild, 57268 58629, hasChild, 119831 58629, hasChild, 45624 58629, hasChild, 3621 58629, hasWonPrize, 67520 58629, hasWonPrize, 23302 58629, isMarriedTo, 86860 58629, owns, 55085 58629, wasBornIn, 59830 20776, hasChild, 58629 20776, hasChild, 119831 20776, hasWonPrize, 67520 20776, isMarriedTo, 56422 12377, diedIn, 59830 12377, hasChild, 45624 12377, hasWonPrize, 67520 12377, hasWonPrize, 23302 12377, owns, 55085 56422, hasChild, 58629 56422, hasChild, 86860 56422, hasChild, 119831 56422, hasChild, 64117 56422, isMarriedTo, 20776 7197, hasWonPrize, 67520 107613, hasWonPrize, 67520 69292, hasWonPrize, 67520 72140, hasWonPrize, 67520 76189, hasWonPrize, 67520 89269, diedIn, 51575 89269, hasChild, 86860 89269, isMarriedTo, 76290 38771, hasChild, 56422 38771, hasWonPrize, 67520 86860, hasChild, 17447 86860, hasChild, 12377 86860, hasChild, 57268 86860, hasChild, 119831 86860, hasChild, 45624 86860, hasChild, 3621 86860, isMarriedTo, 58629 86860, wasBornIn, 51575 57268, hasWonPrize, 67520 64117, hasWonPrize, 67520 45624, hasChild, 107613 45624, hasWonPrize, 67520 45624, isMarriedTo, 98163 3621, hasChild, 9521 3621, hasWonPrize, 67520 3621, isMarriedTo, 98163 3621, owns, 55085 Question: For what reason are Friedrich_Ferdinand,_Duke_of_Schleswig-Holstein and Louise_of_Mecklenburg-Strelitz associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Friedrich_Ferdinand,_Duke_of_Schleswig-Holstein", "Louise_of_Mecklenburg-Strelitz" ], "valid_edges": [ [ "Alexander_von_Linsingen", "diedIn", "Hanover" ], [ "Alexander_von_Linsingen", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Alexandra_Feodorovna_(Charlotte_of_Prussia)", "hasChild", "Grand_Duke_Konstantin_Nikolayevich_of_Russia" ], [ "Alexandra_Feodorovna_(Charlotte_of_Prussia)", "hasChild", "Grand_Duke_Michael_Nikolaevich_of_Russia" ], [ "Alexandra_Feodorovna_(Charlotte_of_Prussia)", "hasChild", "Grand_Duke_Nicholas_Nikolaevich_of_Russia_(1831–1891)" ], [ "Augusta_of_Saxe-Weimar-Eisenach", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Augusta_of_Saxe-Weimar-Eisenach", "isMarriedTo", "Wilhelm_I_of_Germany" ], [ "Augusta_of_Saxe-Weimar-Eisenach", "isMarriedTo", "William_I,_German_Emperor" ], [ "Charles_II,_Grand_Duke_of_Mecklenburg-Strelitz", "hasChild", "Louise_of_Mecklenburg-Strelitz" ], [ "Charles_II,_Grand_Duke_of_Mecklenburg-Strelitz", "isMarriedTo", "Landgravine_Friederike_of_Hesse-Darmstadt" ], [ "Frederick_III,_German_Emperor", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Frederick_William_III_of_Prussia", "hasChild", "Alexandra_Feodorovna_(Charlotte_of_Prussia)" ], [ "Frederick_William_III_of_Prussia", "hasChild", "Frederick_William_IV_of_Prussia" ], [ "Frederick_William_III_of_Prussia", "hasChild", "Prince_Albert_of_Prussia_(1809–1872)" ], [ "Frederick_William_III_of_Prussia", "hasChild", "Prince_Charles_of_Prussia" ], [ "Frederick_William_III_of_Prussia", "hasChild", "Wilhelm_I_of_Germany" ], [ "Frederick_William_III_of_Prussia", "hasChild", "William_I,_German_Emperor" ], [ "Frederick_William_III_of_Prussia", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Frederick_William_III_of_Prussia", "hasWonPrize", "Order_of_the_Holy_Spirit" ], [ "Frederick_William_III_of_Prussia", "isMarriedTo", "Louise_of_Mecklenburg-Strelitz" ], [ "Frederick_William_III_of_Prussia", "owns", "Royal_Palace,_Wrocław" ], [ "Frederick_William_III_of_Prussia", "wasBornIn", "Potsdam" ], [ "Frederick_William_II_of_Prussia", "hasChild", "Frederick_William_III_of_Prussia" ], [ "Frederick_William_II_of_Prussia", "hasChild", "Prince_Charles_of_Prussia" ], [ "Frederick_William_II_of_Prussia", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Frederick_William_II_of_Prussia", "isMarriedTo", "Frederika_Louisa_of_Hesse-Darmstadt" ], [ "Frederick_William_IV_of_Prussia", "diedIn", "Potsdam" ], [ "Frederick_William_IV_of_Prussia", "hasChild", "Wilhelm_I_of_Germany" ], [ "Frederick_William_IV_of_Prussia", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Frederick_William_IV_of_Prussia", "hasWonPrize", "Order_of_the_Holy_Spirit" ], [ "Frederick_William_IV_of_Prussia", "owns", "Royal_Palace,_Wrocław" ], [ "Frederika_Louisa_of_Hesse-Darmstadt", "hasChild", "Frederick_William_III_of_Prussia" ], [ "Frederika_Louisa_of_Hesse-Darmstadt", "hasChild", "Louise_of_Mecklenburg-Strelitz" ], [ "Frederika_Louisa_of_Hesse-Darmstadt", "hasChild", "Prince_Charles_of_Prussia" ], [ "Frederika_Louisa_of_Hesse-Darmstadt", "hasChild", "Prince_Wilhelm_of_Prussia_(1783–1851)" ], [ "Frederika_Louisa_of_Hesse-Darmstadt", "isMarriedTo", "Frederick_William_II_of_Prussia" ], [ "Friedrich_Ferdinand,_Duke_of_Schleswig-Holstein", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Friedrich_III_of_Germany", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Grand_Duke_Konstantin_Nikolayevich_of_Russia", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Grand_Duke_Michael_Nikolaevich_of_Russia", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Grand_Duke_Nicholas_Nikolaevich_of_Russia_(1831–1891)", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Landgravine_Friederike_of_Hesse-Darmstadt", "diedIn", "Hanover" ], [ "Landgravine_Friederike_of_Hesse-Darmstadt", "hasChild", "Louise_of_Mecklenburg-Strelitz" ], [ "Landgravine_Friederike_of_Hesse-Darmstadt", "isMarriedTo", "Charles_II,_Grand_Duke_of_Mecklenburg-Strelitz" ], [ "Louis_IX,_Landgrave_of_Hesse-Darmstadt", "hasChild", "Frederika_Louisa_of_Hesse-Darmstadt" ], [ "Louis_IX,_Landgrave_of_Hesse-Darmstadt", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Louise_of_Mecklenburg-Strelitz", "hasChild", "Alexandra_Feodorovna_(Charlotte_of_Prussia)" ], [ "Louise_of_Mecklenburg-Strelitz", "hasChild", "Frederick_William_IV_of_Prussia" ], [ "Louise_of_Mecklenburg-Strelitz", "hasChild", "Prince_Albert_of_Prussia_(1809–1872)" ], [ "Louise_of_Mecklenburg-Strelitz", "hasChild", "Prince_Charles_of_Prussia" ], [ "Louise_of_Mecklenburg-Strelitz", "hasChild", "Wilhelm_I_of_Germany" ], [ "Louise_of_Mecklenburg-Strelitz", "hasChild", "William_I,_German_Emperor" ], [ "Louise_of_Mecklenburg-Strelitz", "isMarriedTo", "Frederick_William_III_of_Prussia" ], [ "Louise_of_Mecklenburg-Strelitz", "wasBornIn", "Hanover" ], [ "Prince_Albert_of_Prussia_(1809–1872)", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Prince_Wilhelm_of_Prussia_(1783–1851)", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Wilhelm_I_of_Germany", "hasChild", "Friedrich_III_of_Germany" ], [ "Wilhelm_I_of_Germany", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Wilhelm_I_of_Germany", "isMarriedTo", "Augusta_of_Saxe-Weimar-Eisenach" ], [ "William_I,_German_Emperor", "hasChild", "Frederick_III,_German_Emperor" ], [ "William_I,_German_Emperor", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "William_I,_German_Emperor", "isMarriedTo", "Augusta_of_Saxe-Weimar-Eisenach" ], [ "William_I,_German_Emperor", "owns", "Royal_Palace,_Wrocław" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 40069, Austria 20183, Jay_Hammond 102902, Lower_Austria 84027, Neunkirchen_District,_Austria 29157, United_States src, edge_attr, dst 40069, dealsWith, 29157 20183, isPoliticianOf, 29157 102902, isLocatedIn, 40069 84027, isLocatedIn, 102902 Question: How are Jay_Hammond and Neunkirchen_District,_Austria related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Jay_Hammond", "Neunkirchen_District,_Austria" ], "valid_edges": [ [ "Austria", "dealsWith", "United_States" ], [ "Jay_Hammond", "isPoliticianOf", "United_States" ], [ "Lower_Austria", "isLocatedIn", "Austria" ], [ "Neunkirchen_District,_Austria", "isLocatedIn", "Lower_Austria" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 39594, Albania 96383, Belize 23236, Bellshill 59879, Bhutan 76228, Boxer_Rebellion 60046, Cameroon 23323, Cape_Verde 45863, China 4267, Colombia 107583, Congo_Crisis 64438, Denmark 67609, ESRO 64849, Ecuador 78687, El_Salvador 111744, Europe 9177, European_Space_Agency 113495, Eurosport_2 13736, Gabon 48836, Grenada 2126, Guatemala 28632, Hundred_Days 4293, Iceland 121925, John_Kennedy_(Scottish_footballer) 57645, Korean_War 55674, Liberia 51681, Little_Vietnam 119603, Mauritania 99556, Morocco 123064, Mozambique 34763, Nigeria 56022, Nine_Years'_War 45671, North_America 59688, Norway 24830, Operation_Atalanta 122711, Operation_Enduring_Freedom 59704, Operation_Enduring_Freedom_–_Horn_of_Africa 109270, Panama 101244, Paraguay 38458, Peru 101967, Republic_of_the_Congo 73823, Scotland 24598, Spain 24922, Suriname 6827, Sweden 90414, The_Bahamas 38615, Tunisia 116232, War_in_Afghanistan_(2001–present) 10245, War_of_the_Quadruple_Alliance 75056, War_on_Terror 34532, de/SD_Worx 99322, wordnet_chemical_114806838 9577, wordnet_machinery_103701640 src, edge_attr, dst 39594, dealsWith, 45863 39594, dealsWith, 24598 96383, dealsWith, 45863 96383, isLocatedIn, 45671 23236, isLocatedIn, 73823 59879, dealsWith, 6827 59879, hasNeighbor, 45863 76228, happenedIn, 45863 60046, dealsWith, 45863 60046, dealsWith, 24598 23323, dealsWith, 45863 23323, dealsWith, 24598 45863, hasNeighbor, 59879 45863, participatedIn, 107583 45863, participatedIn, 57645 45863, participatedIn, 122711 45863, participatedIn, 59704 45863, participatedIn, 75056 4267, dealsWith, 45863 4267, dealsWith, 24598 4267, hasNeighbor, 64849 4267, hasNeighbor, 109270 4267, hasNeighbor, 38458 4267, imports, 99322 4267, isLocatedIn, 45671 4267, participatedIn, 57645 4267, participatedIn, 75056 64438, dealsWith, 45863 64438, dealsWith, 6827 64849, dealsWith, 24598 64849, hasNeighbor, 4267 78687, dealsWith, 45863 78687, dealsWith, 4267 78687, dealsWith, 24598 78687, isLocatedIn, 45671 113495, isLocatedIn, 24598 113495, isLocatedIn, 6827 13736, dealsWith, 45863 13736, dealsWith, 24598 48836, dealsWith, 45863 48836, isLocatedIn, 45671 2126, dealsWith, 45863 2126, dealsWith, 4267 2126, dealsWith, 24598 2126, isLocatedIn, 45671 4293, dealsWith, 45863 4293, dealsWith, 6827 121925, wasBornIn, 23236 55674, dealsWith, 45863 55674, dealsWith, 24598 51681, isLocatedIn, 45863 51681, isLocatedIn, 6827 119603, dealsWith, 45863 119603, dealsWith, 24598 99556, dealsWith, 45863 99556, dealsWith, 24598 99556, hasNeighbor, 24598 123064, dealsWith, 45863 123064, dealsWith, 24598 34763, dealsWith, 45863 34763, dealsWith, 24598 56022, happenedIn, 45671 59688, dealsWith, 45863 59688, dealsWith, 6827 109270, dealsWith, 45863 109270, dealsWith, 4267 109270, dealsWith, 24598 109270, dealsWith, 6827 109270, hasNeighbor, 4267 109270, isLocatedIn, 45671 101244, dealsWith, 45863 101244, dealsWith, 24598 38458, dealsWith, 45863 38458, dealsWith, 4267 38458, dealsWith, 24598 38458, hasNeighbor, 4267 101967, dealsWith, 45863 101967, dealsWith, 24598 73823, dealsWith, 24598 24598, exports, 99322 24598, exports, 9577 24598, hasNeighbor, 99556 24598, imports, 99322 24598, isLocatedIn, 111744 24598, owns, 67609 24598, owns, 9177 24598, participatedIn, 76228 24598, participatedIn, 28632 24598, participatedIn, 56022 24598, participatedIn, 24830 24598, participatedIn, 122711 24598, participatedIn, 59704 24598, participatedIn, 116232 24598, participatedIn, 10245 24598, participatedIn, 75056 24922, dealsWith, 45863 24922, isLocatedIn, 45671 6827, dealsWith, 45863 6827, dealsWith, 64438 6827, dealsWith, 59688 6827, exports, 99322 6827, exports, 9577 6827, imports, 99322 6827, imports, 9577 6827, isLocatedIn, 111744 6827, owns, 67609 6827, owns, 9177 6827, participatedIn, 107583 6827, participatedIn, 28632 6827, participatedIn, 57645 6827, participatedIn, 56022 6827, participatedIn, 24830 6827, participatedIn, 116232 6827, participatedIn, 75056 90414, dealsWith, 45863 90414, dealsWith, 4267 90414, isLocatedIn, 45671 38615, dealsWith, 45863 38615, dealsWith, 24598 10245, happenedIn, 45671 10245, happenedIn, 24598 34532, isLocatedIn, 24598 34532, isLocatedIn, 6827 Question: In what context are John_Kennedy_(Scottish_footballer) and Panama connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "John_Kennedy_(Scottish_footballer)", "Panama" ], "valid_edges": [ [ "Albania", "dealsWith", "China" ], [ "Albania", "dealsWith", "Spain" ], [ "Belize", "dealsWith", "China" ], [ "Belize", "isLocatedIn", "North_America" ], [ "Bellshill", "isLocatedIn", "Scotland" ], [ "Bhutan", "dealsWith", "Sweden" ], [ "Bhutan", "hasNeighbor", "China" ], [ "Boxer_Rebellion", "happenedIn", "China" ], [ "Cameroon", "dealsWith", "China" ], [ "Cameroon", "dealsWith", "Spain" ], [ "Cape_Verde", "dealsWith", "China" ], [ "Cape_Verde", "dealsWith", "Spain" ], [ "China", "hasNeighbor", "Bhutan" ], [ "China", "participatedIn", "Congo_Crisis" ], [ "China", "participatedIn", "Korean_War" ], [ "China", "participatedIn", "Operation_Enduring_Freedom" ], [ "China", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "China", "participatedIn", "War_on_Terror" ], [ "Colombia", "dealsWith", "China" ], [ "Colombia", "dealsWith", "Spain" ], [ "Colombia", "hasNeighbor", "Ecuador" ], [ "Colombia", "hasNeighbor", "Panama" ], [ "Colombia", "hasNeighbor", "Peru" ], [ "Colombia", "imports", "wordnet_chemical_114806838" ], [ "Colombia", "isLocatedIn", "North_America" ], [ "Colombia", "participatedIn", "Korean_War" ], [ "Colombia", "participatedIn", "War_on_Terror" ], [ "Denmark", "dealsWith", "China" ], [ "Denmark", "dealsWith", "Sweden" ], [ "Ecuador", "dealsWith", "Spain" ], [ "Ecuador", "hasNeighbor", "Colombia" ], [ "El_Salvador", "dealsWith", "China" ], [ "El_Salvador", "dealsWith", "Colombia" ], [ "El_Salvador", "dealsWith", "Spain" ], [ "El_Salvador", "isLocatedIn", "North_America" ], [ "Eurosport_2", "isLocatedIn", "Spain" ], [ "Eurosport_2", "isLocatedIn", "Sweden" ], [ "Gabon", "dealsWith", "China" ], [ "Gabon", "dealsWith", "Spain" ], [ "Grenada", "dealsWith", "China" ], [ "Grenada", "isLocatedIn", "North_America" ], [ "Guatemala", "dealsWith", "China" ], [ "Guatemala", "dealsWith", "Colombia" ], [ "Guatemala", "dealsWith", "Spain" ], [ "Guatemala", "isLocatedIn", "North_America" ], [ "Iceland", "dealsWith", "China" ], [ "Iceland", "dealsWith", "Sweden" ], [ "John_Kennedy_(Scottish_footballer)", "wasBornIn", "Bellshill" ], [ "Liberia", "dealsWith", "China" ], [ "Liberia", "dealsWith", "Spain" ], [ "Little_Vietnam", "isLocatedIn", "China" ], [ "Little_Vietnam", "isLocatedIn", "Sweden" ], [ "Mauritania", "dealsWith", "China" ], [ "Mauritania", "dealsWith", "Spain" ], [ "Morocco", "dealsWith", "China" ], [ "Morocco", "dealsWith", "Spain" ], [ "Morocco", "hasNeighbor", "Spain" ], [ "Mozambique", "dealsWith", "China" ], [ "Mozambique", "dealsWith", "Spain" ], [ "Nigeria", "dealsWith", "China" ], [ "Nigeria", "dealsWith", "Spain" ], [ "Nine_Years'_War", "happenedIn", "North_America" ], [ "Norway", "dealsWith", "China" ], [ "Norway", "dealsWith", "Sweden" ], [ "Panama", "dealsWith", "China" ], [ "Panama", "dealsWith", "Colombia" ], [ "Panama", "dealsWith", "Spain" ], [ "Panama", "dealsWith", "Sweden" ], [ "Panama", "hasNeighbor", "Colombia" ], [ "Panama", "isLocatedIn", "North_America" ], [ "Paraguay", "dealsWith", "China" ], [ "Paraguay", "dealsWith", "Spain" ], [ "Peru", "dealsWith", "China" ], [ "Peru", "dealsWith", "Colombia" ], [ "Peru", "dealsWith", "Spain" ], [ "Peru", "hasNeighbor", "Colombia" ], [ "Republic_of_the_Congo", "dealsWith", "China" ], [ "Republic_of_the_Congo", "dealsWith", "Spain" ], [ "Scotland", "dealsWith", "Spain" ], [ "Spain", "exports", "wordnet_chemical_114806838" ], [ "Spain", "exports", "wordnet_machinery_103701640" ], [ "Spain", "hasNeighbor", "Morocco" ], [ "Spain", "imports", "wordnet_chemical_114806838" ], [ "Spain", "isLocatedIn", "Europe" ], [ "Spain", "owns", "ESRO" ], [ "Spain", "owns", "European_Space_Agency" ], [ "Spain", "participatedIn", "Boxer_Rebellion" ], [ "Spain", "participatedIn", "Hundred_Days" ], [ "Spain", "participatedIn", "Nine_Years'_War" ], [ "Spain", "participatedIn", "Operation_Atalanta" ], [ "Spain", "participatedIn", "Operation_Enduring_Freedom" ], [ "Spain", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "Spain", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Spain", "participatedIn", "War_of_the_Quadruple_Alliance" ], [ "Spain", "participatedIn", "War_on_Terror" ], [ "Suriname", "dealsWith", "China" ], [ "Suriname", "isLocatedIn", "North_America" ], [ "Sweden", "dealsWith", "China" ], [ "Sweden", "dealsWith", "Denmark" ], [ "Sweden", "dealsWith", "Norway" ], [ "Sweden", "exports", "wordnet_chemical_114806838" ], [ "Sweden", "exports", "wordnet_machinery_103701640" ], [ "Sweden", "imports", "wordnet_chemical_114806838" ], [ "Sweden", "imports", "wordnet_machinery_103701640" ], [ "Sweden", "isLocatedIn", "Europe" ], [ "Sweden", "owns", "ESRO" ], [ "Sweden", "owns", "European_Space_Agency" ], [ "Sweden", "participatedIn", "Congo_Crisis" ], [ "Sweden", "participatedIn", "Hundred_Days" ], [ "Sweden", "participatedIn", "Korean_War" ], [ "Sweden", "participatedIn", "Nine_Years'_War" ], [ "Sweden", "participatedIn", "Operation_Atalanta" ], [ "Sweden", "participatedIn", "War_in_Afghanistan_(2001–present)" ], [ "Sweden", "participatedIn", "War_on_Terror" ], [ "The_Bahamas", "dealsWith", "China" ], [ "The_Bahamas", "dealsWith", "Colombia" ], [ "The_Bahamas", "isLocatedIn", "North_America" ], [ "Tunisia", "dealsWith", "China" ], [ "Tunisia", "dealsWith", "Spain" ], [ "War_of_the_Quadruple_Alliance", "happenedIn", "North_America" ], [ "War_of_the_Quadruple_Alliance", "happenedIn", "Spain" ], [ "de/SD_Worx", "isLocatedIn", "Spain" ], [ "de/SD_Worx", "isLocatedIn", "Sweden" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 10912, Abraham_González_Casanova 103658, Ariza_Makukula 103212, G.D._Chaves 73598, Gimnàstic_de_Tarragona 123009, Marcel_Sabou src, edge_attr, dst 10912, isAffiliatedTo, 73598 10912, playsFor, 73598 103658, isAffiliatedTo, 103212 103658, isAffiliatedTo, 73598 103658, playsFor, 103212 103658, playsFor, 73598 123009, isAffiliatedTo, 103212 123009, playsFor, 103212 Question: For what reason are Abraham_González_Casanova and Marcel_Sabou associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Abraham_González_Casanova", "Marcel_Sabou" ], "valid_edges": [ [ "Abraham_González_Casanova", "isAffiliatedTo", "Gimnàstic_de_Tarragona" ], [ "Abraham_González_Casanova", "playsFor", "Gimnàstic_de_Tarragona" ], [ "Ariza_Makukula", "isAffiliatedTo", "G.D._Chaves" ], [ "Ariza_Makukula", "isAffiliatedTo", "Gimnàstic_de_Tarragona" ], [ "Ariza_Makukula", "playsFor", "G.D._Chaves" ], [ "Ariza_Makukula", "playsFor", "Gimnàstic_de_Tarragona" ], [ "Marcel_Sabou", "isAffiliatedTo", "G.D._Chaves" ], [ "Marcel_Sabou", "playsFor", "G.D._Chaves" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 29751, Aalborg_Airport 44998, Antalya_Airport 74454, Barcelona–El_Prat_Airport 109033, Belgrade 55361, Belgrade_Nikola_Tesla_Airport 50048, Bergen_Airport,_Flesland 44751, Berlin_Schönefeld_Airport 66779, Billund_Airport 58160, Birmingham_Airport 70032, Bristol_Airport 58119, Brussels_Airport 98790, Chania_International_Airport 103205, Charles_de_Gaulle_Airport 100785, Copenhagen_Airport 5876, Düsseldorf_Airport 70781, Edinburgh_Airport 107681, EuroAirport_Basel–Mulhouse–Freiburg 9095, Flesland 35168, Fuerteventura_Airport 63832, Gatwick_Airport 25539, Geneva_International_Airport 300, Gran_Canaria_Airport 21643, Hamburg_Airport 59585, Helsinki_Airport 31523, Istanbul_Atatürk_Airport 93765, John_F._Kennedy_International_Airport 119189, Kangerlussuaq_Airport 40453, Keflavík_International_Airport 62110, Lisbon_Portela_Airport 121451, Ljubljana_Jože_Pučnik_Airport 34691, Luton_Airport 113991, Madrid–Barajas_Airport 15893, Malpensa_Airport 69974, Manchester_Airport 120975, Munich_Airport 69364, Málaga_Airport 113188, Newark_Liberty_International_Airport 105421, Orly_Airport 60664, Pulkovo_Airport 113141, Sola 113724, Srđan_Urošević 65504, Stavanger_Airport,_Sola 120265, Stockholm_Arlanda_Airport 61369, Stuttgart_Airport 77224, Tenerife_South_Airport 35865, Toronto_Pearson_International_Airport 56880, Trondheim_Airport,_Værnes 60724, Vienna_International_Airport 118295, Vilnius_Airport 115351, Vágar_Airport 12808, Warsaw_Chopin_Airport 74876, Zurich_Airport src, edge_attr, dst 44998, isConnectedTo, 100785 44998, isConnectedTo, 40453 74454, isConnectedTo, 100785 74454, isConnectedTo, 40453 55361, isConnectedTo, 100785 55361, isLocatedIn, 109033 50048, isConnectedTo, 100785 50048, isConnectedTo, 40453 44751, isConnectedTo, 100785 44751, isConnectedTo, 40453 66779, isConnectedTo, 29751 66779, isConnectedTo, 100785 66779, isConnectedTo, 40453 70032, isConnectedTo, 100785 70032, isConnectedTo, 40453 58119, isConnectedTo, 100785 58119, isConnectedTo, 40453 98790, isConnectedTo, 100785 98790, isConnectedTo, 40453 103205, isConnectedTo, 100785 103205, isConnectedTo, 40453 100785, isConnectedTo, 29751 100785, isConnectedTo, 44998 100785, isConnectedTo, 74454 100785, isConnectedTo, 55361 100785, isConnectedTo, 50048 100785, isConnectedTo, 44751 100785, isConnectedTo, 66779 100785, isConnectedTo, 58160 100785, isConnectedTo, 70032 100785, isConnectedTo, 58119 100785, isConnectedTo, 98790 100785, isConnectedTo, 103205 100785, isConnectedTo, 5876 100785, isConnectedTo, 70781 100785, isConnectedTo, 107681 100785, isConnectedTo, 9095 100785, isConnectedTo, 35168 100785, isConnectedTo, 63832 100785, isConnectedTo, 25539 100785, isConnectedTo, 300 100785, isConnectedTo, 21643 100785, isConnectedTo, 59585 100785, isConnectedTo, 31523 100785, isConnectedTo, 93765 100785, isConnectedTo, 119189 100785, isConnectedTo, 40453 100785, isConnectedTo, 62110 100785, isConnectedTo, 121451 100785, isConnectedTo, 34691 100785, isConnectedTo, 113991 100785, isConnectedTo, 15893 100785, isConnectedTo, 69974 100785, isConnectedTo, 120975 100785, isConnectedTo, 69364 100785, isConnectedTo, 113188 100785, isConnectedTo, 105421 100785, isConnectedTo, 60664 100785, isConnectedTo, 113141 100785, isConnectedTo, 65504 100785, isConnectedTo, 120265 100785, isConnectedTo, 61369 100785, isConnectedTo, 77224 100785, isConnectedTo, 35865 100785, isConnectedTo, 56880 100785, isConnectedTo, 60724 100785, isConnectedTo, 118295 100785, isConnectedTo, 115351 100785, isConnectedTo, 12808 100785, isConnectedTo, 74876 5876, isConnectedTo, 100785 5876, isConnectedTo, 40453 70781, isConnectedTo, 100785 70781, isConnectedTo, 40453 35168, isConnectedTo, 29751 35168, isConnectedTo, 100785 25539, isConnectedTo, 100785 300, isConnectedTo, 100785 21643, isConnectedTo, 100785 21643, isConnectedTo, 40453 59585, isConnectedTo, 100785 59585, isConnectedTo, 40453 31523, isConnectedTo, 29751 31523, isConnectedTo, 100785 93765, isConnectedTo, 100785 93765, isConnectedTo, 40453 119189, isConnectedTo, 29751 119189, isConnectedTo, 100785 119189, isConnectedTo, 40453 40453, isConnectedTo, 29751 40453, isConnectedTo, 74454 40453, isConnectedTo, 50048 40453, isConnectedTo, 66779 40453, isConnectedTo, 58160 40453, isConnectedTo, 70032 40453, isConnectedTo, 58119 40453, isConnectedTo, 103205 40453, isConnectedTo, 100785 40453, isConnectedTo, 5876 40453, isConnectedTo, 70781 40453, isConnectedTo, 107681 40453, isConnectedTo, 9095 40453, isConnectedTo, 63832 40453, isConnectedTo, 25539 40453, isConnectedTo, 300 40453, isConnectedTo, 21643 40453, isConnectedTo, 59585 40453, isConnectedTo, 93765 40453, isConnectedTo, 119189 40453, isConnectedTo, 62110 40453, isConnectedTo, 34691 40453, isConnectedTo, 113991 40453, isConnectedTo, 15893 40453, isConnectedTo, 69974 40453, isConnectedTo, 120975 40453, isConnectedTo, 113188 40453, isConnectedTo, 60664 40453, isConnectedTo, 113141 40453, isConnectedTo, 120265 40453, isConnectedTo, 61369 40453, isConnectedTo, 77224 40453, isConnectedTo, 35865 40453, isConnectedTo, 56880 40453, isConnectedTo, 118295 40453, isConnectedTo, 115351 40453, isConnectedTo, 12808 40453, isConnectedTo, 74876 121451, isConnectedTo, 100785 121451, isConnectedTo, 40453 113991, isConnectedTo, 100785 15893, isConnectedTo, 100785 120975, isConnectedTo, 100785 120975, isConnectedTo, 40453 69364, isConnectedTo, 29751 69364, isConnectedTo, 100785 105421, isConnectedTo, 100785 105421, isConnectedTo, 40453 60664, isConnectedTo, 100785 113724, wasBornIn, 109033 65504, isConnectedTo, 29751 65504, isConnectedTo, 100785 65504, isConnectedTo, 40453 120265, isConnectedTo, 100785 61369, isConnectedTo, 100785 61369, isConnectedTo, 40453 77224, isConnectedTo, 100785 35865, isConnectedTo, 100785 35865, isConnectedTo, 40453 56880, isConnectedTo, 100785 56880, isConnectedTo, 40453 60724, isConnectedTo, 100785 60724, isConnectedTo, 40453 118295, isConnectedTo, 100785 115351, isConnectedTo, 100785 115351, isConnectedTo, 40453 Question: For what reason are Kangerlussuaq_Airport and Srđan_Urošević associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Kangerlussuaq_Airport", "Srđan_Urošević" ], "valid_edges": [ [ "Antalya_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Antalya_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Barcelona–El_Prat_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Barcelona–El_Prat_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Belgrade_Nikola_Tesla_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Belgrade_Nikola_Tesla_Airport", "isLocatedIn", "Belgrade" ], [ "Bergen_Airport,_Flesland", "isConnectedTo", "Copenhagen_Airport" ], [ "Bergen_Airport,_Flesland", "isConnectedTo", "Keflavík_International_Airport" ], [ "Berlin_Schönefeld_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Berlin_Schönefeld_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Billund_Airport", "isConnectedTo", "Aalborg_Airport" ], [ "Billund_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Billund_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Bristol_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Bristol_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Brussels_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Brussels_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Chania_International_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Chania_International_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Charles_de_Gaulle_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Charles_de_Gaulle_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Aalborg_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Antalya_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Barcelona–El_Prat_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Belgrade_Nikola_Tesla_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Bergen_Airport,_Flesland" ], [ "Copenhagen_Airport", "isConnectedTo", "Berlin_Schönefeld_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Billund_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Birmingham_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Bristol_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Brussels_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Chania_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Charles_de_Gaulle_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Düsseldorf_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Edinburgh_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "EuroAirport_Basel–Mulhouse–Freiburg" ], [ "Copenhagen_Airport", "isConnectedTo", "Flesland" ], [ "Copenhagen_Airport", "isConnectedTo", "Fuerteventura_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Gatwick_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Geneva_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Gran_Canaria_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Hamburg_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Helsinki_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Istanbul_Atatürk_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "John_F._Kennedy_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Kangerlussuaq_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Lisbon_Portela_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Ljubljana_Jože_Pučnik_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Luton_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Madrid–Barajas_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Malpensa_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Manchester_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Munich_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Málaga_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Newark_Liberty_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Orly_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Pulkovo_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Sola" ], [ "Copenhagen_Airport", "isConnectedTo", "Stavanger_Airport,_Sola" ], [ "Copenhagen_Airport", "isConnectedTo", "Stockholm_Arlanda_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Stuttgart_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Tenerife_South_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Toronto_Pearson_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Trondheim_Airport,_Værnes" ], [ "Copenhagen_Airport", "isConnectedTo", "Vienna_International_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Vilnius_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Vágar_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Warsaw_Chopin_Airport" ], [ "Copenhagen_Airport", "isConnectedTo", "Zurich_Airport" ], [ "Düsseldorf_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Düsseldorf_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Edinburgh_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Edinburgh_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Fuerteventura_Airport", "isConnectedTo", "Aalborg_Airport" ], [ "Fuerteventura_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Geneva_International_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Gran_Canaria_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Hamburg_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Hamburg_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Helsinki_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Helsinki_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Istanbul_Atatürk_Airport", "isConnectedTo", "Aalborg_Airport" ], [ "Istanbul_Atatürk_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "John_F._Kennedy_International_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "John_F._Kennedy_International_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Kangerlussuaq_Airport", "isConnectedTo", "Aalborg_Airport" ], [ "Kangerlussuaq_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Kangerlussuaq_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Aalborg_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Barcelona–El_Prat_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Bergen_Airport,_Flesland" ], [ "Keflavík_International_Airport", "isConnectedTo", "Billund_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Birmingham_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Bristol_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Brussels_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Charles_de_Gaulle_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Düsseldorf_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Edinburgh_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "EuroAirport_Basel–Mulhouse–Freiburg" ], [ "Keflavík_International_Airport", "isConnectedTo", "Flesland" ], [ "Keflavík_International_Airport", "isConnectedTo", "Gatwick_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Geneva_International_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Gran_Canaria_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Hamburg_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Helsinki_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "John_F._Kennedy_International_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Kangerlussuaq_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Lisbon_Portela_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Luton_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Madrid–Barajas_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Malpensa_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Manchester_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Munich_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Newark_Liberty_International_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Pulkovo_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Sola" ], [ "Keflavík_International_Airport", "isConnectedTo", "Stockholm_Arlanda_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Stuttgart_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Tenerife_South_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Toronto_Pearson_International_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Trondheim_Airport,_Værnes" ], [ "Keflavík_International_Airport", "isConnectedTo", "Vilnius_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Vágar_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Warsaw_Chopin_Airport" ], [ "Keflavík_International_Airport", "isConnectedTo", "Zurich_Airport" ], [ "Ljubljana_Jože_Pučnik_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Ljubljana_Jože_Pučnik_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Madrid–Barajas_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Malpensa_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Munich_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Munich_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Málaga_Airport", "isConnectedTo", "Aalborg_Airport" ], [ "Málaga_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Orly_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Orly_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Pulkovo_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Srđan_Urošević", "wasBornIn", "Belgrade" ], [ "Stavanger_Airport,_Sola", "isConnectedTo", "Aalborg_Airport" ], [ "Stavanger_Airport,_Sola", "isConnectedTo", "Copenhagen_Airport" ], [ "Stavanger_Airport,_Sola", "isConnectedTo", "Keflavík_International_Airport" ], [ "Stockholm_Arlanda_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Stuttgart_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Stuttgart_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Tenerife_South_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Toronto_Pearson_International_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Toronto_Pearson_International_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Trondheim_Airport,_Værnes", "isConnectedTo", "Copenhagen_Airport" ], [ "Trondheim_Airport,_Værnes", "isConnectedTo", "Keflavík_International_Airport" ], [ "Vienna_International_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Vienna_International_Airport", "isConnectedTo", "Keflavík_International_Airport" ], [ "Vilnius_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Vágar_Airport", "isConnectedTo", "Copenhagen_Airport" ], [ "Vágar_Airport", "isConnectedTo", "Keflavík_International_Airport" ] ], "ground_truth": [], "gt_cost": null }
YAGO
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each edge, replace IDs with the exact node_attr from the Node table. - Output MUST be text triples, not numeric IDs. Output format (STRICT — no extra text): PATH: ("subject"|predicate|"object") ... END Rules - Use only listed edges; do NOT invent edges. - Map IDs → node_attr; preserve node_attr exactly. - Output NOTHING outside the PATH block. - If no path exists, output exactly: PATH: END Graph: node_id, node_attr 17307, O'Neill_Donaldson 86168, Per_Hysing-Dahl 118104, male src, edge_attr, dst 17307, hasGender, 118104 86168, hasGender, 118104 Question: How are O'Neill_Donaldson and Per_Hysing-Dahl related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "O'Neill_Donaldson", "Per_Hysing-Dahl" ], "valid_edges": [ [ "O'Neill_Donaldson", "hasGender", "male" ], [ "Per_Hysing-Dahl", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }