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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 22406, Carlos_Peucelle 117799, Kamil_Poźniak 7755, Krasnystaw 75160, Krasnystaw_County 118104, male src, edge_attr, dst 22406, hasGender, 118104 117799, hasGender, 118104 117799, wasBornIn, 7755 7755, isLocatedIn, 75160 Question: How are Carlos_Peucelle and Krasnystaw_County related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Carlos_Peucelle", "Krasnystaw_County" ], "valid_edges": [ [ "Carlos_Peucelle", "hasGender", "male" ], [ "Kamil_Poźniak", "hasGender", "male" ], [ "Kamil_Poźniak", "wasBornIn", "Krasnystaw" ], [ "Krasnystaw", "isLocatedIn", "Krasnystaw_County" ] ], "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 48607, Alamosa,_Colorado 64945, Arvada,_Colorado 23082, Aurora,_Colorado 117284, Becky_Hammon 89856, Bill_Ritter 76704, Boulder,_Colorado 102088, Broomfield,_Colorado 1906, Bàsquet_Manresa 54372, Carbondale,_Colorado 34701, Castle_Rock,_Colorado 76289, Cañon_City,_Colorado 790, Centennial,_Colorado 49840, Central_City,_Colorado 115692, Colorado 81871, Colorado_College 103677, Colorado_River 115082, Colorado_School_of_Mines 30787, Colorado_Springs,_Colorado 13256, Colorado_State_University 54807, Cortez,_Colorado 35055, Craig,_Colorado 113058, Cripple_Creek,_Colorado 2718, Delta,_Colorado 20353, Democratic_Party_(United_States) 81923, Denver 47795, Durango,_Colorado 47476, Egypt 1580, Englewood,_Colorado 55815, Estes_Park,_Colorado 84347, Evergreen,_Colorado 93321, Florence,_Colorado 20352, Fort_Collins 86171, Fort_Collins,_Colorado 119468, Fountain,_Colorado 76733, George_Gervin 47435, George_L._Brown 74159, Ghulam_Ahmad_(engineer) 1694, Glenwood_Springs,_Colorado 104678, Golden,_Colorado 43451, Grand_Junction,_Colorado 116726, Greeley,_Colorado 55238, Greenwood_Village,_Colorado 32228, Gunnison,_Colorado 4137, High_Plains_(United_States) 108873, John_Hickenlooper 85669, La_Junta,_Colorado 114613, Lafayette,_Colorado 6328, Lamar,_Colorado 13530, Larimer_County,_Colorado 99382, Leadville,_Colorado 91330, Littleton,_Colorado 65931, Longmont,_Colorado 119966, Louisiana_Tech_University 40641, Louisville,_Colorado 3568, Loveland,_Colorado 54767, Manitou_Springs,_Colorado 92980, Manti-La_Sal_National_Forest 69987, Meridian,_Colorado 57724, Mike_Brown_(basketball,_born_1963) 60202, Molson_Coors_Brewing_Company 107516, Montrose,_Colorado 55447, Morrison,_Colorado 93223, Mount_Vernon,_Washington 53373, Mousa_Mohammed_Abu_Marzook 55500, Ouray,_Colorado 85860, Pakistan 718, Parker,_Colorado 3008, Pepsi_Center 67202, Pike_National_Forest 81842, Pueblo,_Colorado 64061, Rajat_Gupta 71270, Rapid_City,_South_Dakota 30633, Regis_University 6331, Rocky_Mountain_National_Park 8037, Rocky_Mountains 91345, Rod_Blagojevich 35388, Salida,_Colorado 119505, Steamboat_Springs,_Colorado 69055, Sterling,_Colorado 11660, Telluride,_Colorado 69758, Thornton,_Colorado 121443, Trinidad,_Colorado 98705, Troy_DeVries 29157, United_States 46081, United_States_Air_Force_Academy 86584, University_of_Colorado 106054, University_of_Colorado_Boulder 85909, University_of_Denver 95023, University_of_Northern_Colorado 115670, Vail,_Colorado 35985, Washington_(state) 22486, Western_United_States 65464, Westminster,_Colorado 6232, Westwood_College 86394, Wheat_Ridge,_Colorado 6592, White_River_National_Forest src, edge_attr, dst 48607, isLocatedIn, 115692 48607, isLocatedIn, 29157 64945, isLocatedIn, 115692 64945, isLocatedIn, 29157 23082, isLocatedIn, 115692 23082, isLocatedIn, 29157 117284, isAffiliatedTo, 13256 117284, isCitizenOf, 29157 117284, wasBornIn, 71270 89856, graduatedFrom, 13256 89856, graduatedFrom, 86584 89856, hasChild, 108873 89856, isAffiliatedTo, 20353 89856, isPoliticianOf, 115692 89856, isPoliticianOf, 29157 89856, wasBornIn, 81923 76704, isLocatedIn, 115692 76704, isLocatedIn, 29157 102088, isLocatedIn, 115692 102088, isLocatedIn, 29157 54372, isLocatedIn, 115692 54372, isLocatedIn, 29157 34701, isLocatedIn, 115692 34701, isLocatedIn, 29157 76289, isLocatedIn, 115692 76289, isLocatedIn, 29157 790, isLocatedIn, 115692 790, isLocatedIn, 29157 49840, isLocatedIn, 115692 49840, isLocatedIn, 29157 115692, hasCapital, 81923 115692, isLocatedIn, 29157 115692, isLocatedIn, 22486 81871, isLocatedIn, 115692 81871, isLocatedIn, 29157 103677, isLocatedIn, 115692 103677, isLocatedIn, 29157 115082, isLocatedIn, 115692 115082, isLocatedIn, 29157 30787, isLocatedIn, 115692 30787, isLocatedIn, 29157 13256, isLocatedIn, 115692 13256, isLocatedIn, 86171 13256, isLocatedIn, 13530 13256, isLocatedIn, 29157 54807, isLocatedIn, 115692 54807, isLocatedIn, 29157 35055, isLocatedIn, 115692 35055, isLocatedIn, 29157 113058, isLocatedIn, 115692 113058, isLocatedIn, 29157 2718, isLocatedIn, 115692 2718, isLocatedIn, 29157 20353, isLocatedIn, 29157 81923, isLocatedIn, 115692 81923, isLocatedIn, 29157 47795, isLocatedIn, 115692 47795, isLocatedIn, 29157 47476, dealsWith, 29157 1580, isLocatedIn, 115692 1580, isLocatedIn, 29157 55815, isLocatedIn, 115692 55815, isLocatedIn, 13530 55815, isLocatedIn, 29157 84347, isLocatedIn, 115692 84347, isLocatedIn, 29157 93321, isLocatedIn, 115692 93321, isLocatedIn, 29157 20352, isLocatedIn, 115692 20352, isLocatedIn, 13530 20352, isLocatedIn, 29157 86171, isLocatedIn, 115692 86171, isLocatedIn, 13530 86171, isLocatedIn, 29157 119468, isLocatedIn, 115692 119468, isLocatedIn, 29157 76733, isAffiliatedTo, 1906 76733, isCitizenOf, 29157 47435, isCitizenOf, 29157 47435, isPoliticianOf, 115692 74159, graduatedFrom, 13256 74159, isCitizenOf, 85860 1694, isLocatedIn, 115692 1694, isLocatedIn, 29157 104678, isLocatedIn, 115692 104678, isLocatedIn, 29157 43451, isLocatedIn, 115692 43451, isLocatedIn, 29157 116726, isLocatedIn, 115692 116726, isLocatedIn, 29157 55238, isLocatedIn, 115692 55238, isLocatedIn, 29157 32228, isLocatedIn, 115692 32228, isLocatedIn, 29157 4137, isLocatedIn, 115692 4137, isLocatedIn, 29157 108873, isPoliticianOf, 115692 108873, isPoliticianOf, 29157 85669, isLocatedIn, 115692 85669, isLocatedIn, 29157 114613, isLocatedIn, 115692 114613, isLocatedIn, 29157 6328, isLocatedIn, 115692 6328, isLocatedIn, 29157 13530, isLocatedIn, 20352 99382, isLocatedIn, 115692 99382, isLocatedIn, 29157 91330, isLocatedIn, 115692 91330, isLocatedIn, 29157 65931, isLocatedIn, 115692 65931, isLocatedIn, 29157 119966, isLocatedIn, 29157 40641, isLocatedIn, 115692 40641, isLocatedIn, 29157 3568, isLocatedIn, 115692 3568, isLocatedIn, 13530 3568, isLocatedIn, 29157 54767, isLocatedIn, 115692 54767, isLocatedIn, 29157 92980, isLocatedIn, 115692 92980, isLocatedIn, 29157 69987, isLocatedIn, 115692 69987, isLocatedIn, 29157 57724, isAffiliatedTo, 1906 57724, isCitizenOf, 29157 60202, isLocatedIn, 115692 60202, isLocatedIn, 29157 107516, isLocatedIn, 115692 107516, isLocatedIn, 29157 55447, isLocatedIn, 115692 55447, isLocatedIn, 29157 93223, isLocatedIn, 29157 93223, isLocatedIn, 35985 53373, graduatedFrom, 13256 53373, graduatedFrom, 119966 53373, livesIn, 47476 55500, isLocatedIn, 115692 55500, isLocatedIn, 29157 85860, dealsWith, 29157 718, isLocatedIn, 115692 718, isLocatedIn, 29157 3008, isLocatedIn, 115692 3008, isLocatedIn, 29157 67202, isLocatedIn, 115692 67202, isLocatedIn, 29157 81842, isLocatedIn, 115692 81842, isLocatedIn, 29157 64061, isCitizenOf, 29157 64061, livesIn, 115692 64061, livesIn, 29157 71270, isLocatedIn, 29157 30633, isLocatedIn, 115692 30633, isLocatedIn, 29157 6331, isLocatedIn, 115692 6331, isLocatedIn, 13530 6331, isLocatedIn, 29157 8037, isLocatedIn, 115692 8037, isLocatedIn, 29157 91345, isPoliticianOf, 29157 91345, livesIn, 115692 35388, isLocatedIn, 115692 35388, isLocatedIn, 29157 119505, isLocatedIn, 115692 119505, isLocatedIn, 29157 69055, isLocatedIn, 115692 69055, isLocatedIn, 29157 11660, isLocatedIn, 115692 11660, isLocatedIn, 29157 69758, isLocatedIn, 115692 69758, isLocatedIn, 29157 121443, isLocatedIn, 115692 121443, isLocatedIn, 29157 98705, isAffiliatedTo, 1906 98705, wasBornIn, 93223 46081, isLocatedIn, 115692 46081, isLocatedIn, 29157 86584, isLocatedIn, 115692 86584, isLocatedIn, 29157 106054, isLocatedIn, 115692 106054, isLocatedIn, 29157 85909, isLocatedIn, 115692 85909, isLocatedIn, 29157 95023, isLocatedIn, 115692 95023, isLocatedIn, 29157 115670, isLocatedIn, 115692 115670, isLocatedIn, 29157 35985, isLocatedIn, 29157 22486, isLocatedIn, 29157 65464, isLocatedIn, 115692 65464, isLocatedIn, 29157 6232, isLocatedIn, 115692 6232, isLocatedIn, 29157 86394, isLocatedIn, 115692 86394, isLocatedIn, 29157 6592, isLocatedIn, 115692 6592, isLocatedIn, 29157 Question: For what reason are Colorado_State_University and Troy_DeVries associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Colorado_State_University", "Troy_DeVries" ], "valid_edges": [ [ "Alamosa,_Colorado", "isLocatedIn", "Colorado" ], [ "Alamosa,_Colorado", "isLocatedIn", "United_States" ], [ "Arvada,_Colorado", "isLocatedIn", "Colorado" ], [ "Arvada,_Colorado", "isLocatedIn", "United_States" ], [ "Aurora,_Colorado", "isLocatedIn", "Colorado" ], [ "Aurora,_Colorado", "isLocatedIn", "United_States" ], [ "Becky_Hammon", "isAffiliatedTo", "Colorado_State_University" ], [ "Becky_Hammon", "isCitizenOf", "United_States" ], [ "Becky_Hammon", "wasBornIn", "Rapid_City,_South_Dakota" ], [ "Bill_Ritter", "graduatedFrom", "Colorado_State_University" ], [ "Bill_Ritter", "graduatedFrom", "University_of_Colorado" ], [ "Bill_Ritter", "hasChild", "John_Hickenlooper" ], [ "Bill_Ritter", "isAffiliatedTo", "Democratic_Party_(United_States)" ], [ "Bill_Ritter", "isPoliticianOf", "Colorado" ], [ "Bill_Ritter", "isPoliticianOf", "United_States" ], [ "Bill_Ritter", "wasBornIn", "Denver" ], [ "Boulder,_Colorado", "isLocatedIn", "Colorado" ], [ "Boulder,_Colorado", "isLocatedIn", "United_States" ], [ "Broomfield,_Colorado", "isLocatedIn", "Colorado" ], [ "Broomfield,_Colorado", "isLocatedIn", "United_States" ], [ "Carbondale,_Colorado", "isLocatedIn", "Colorado" ], [ "Carbondale,_Colorado", "isLocatedIn", "United_States" ], [ "Castle_Rock,_Colorado", "isLocatedIn", "Colorado" ], [ "Castle_Rock,_Colorado", "isLocatedIn", "United_States" ], [ "Cañon_City,_Colorado", "isLocatedIn", "Colorado" ], [ "Cañon_City,_Colorado", "isLocatedIn", "United_States" ], [ "Centennial,_Colorado", "isLocatedIn", "Colorado" ], [ "Centennial,_Colorado", "isLocatedIn", "United_States" ], [ "Central_City,_Colorado", "isLocatedIn", "Colorado" ], [ "Central_City,_Colorado", "isLocatedIn", "United_States" ], [ "Colorado", "hasCapital", "Denver" ], [ "Colorado", "isLocatedIn", "United_States" ], [ "Colorado", "isLocatedIn", "Western_United_States" ], [ "Colorado_College", "isLocatedIn", "Colorado" ], [ "Colorado_College", "isLocatedIn", "United_States" ], [ "Colorado_River", "isLocatedIn", "Colorado" ], [ "Colorado_River", "isLocatedIn", "United_States" ], [ "Colorado_School_of_Mines", "isLocatedIn", "Colorado" ], [ "Colorado_School_of_Mines", "isLocatedIn", "United_States" ], [ "Colorado_Springs,_Colorado", "isLocatedIn", "Colorado" ], [ "Colorado_Springs,_Colorado", "isLocatedIn", "United_States" ], [ "Colorado_State_University", "isLocatedIn", "Colorado" ], [ "Colorado_State_University", "isLocatedIn", "Fort_Collins,_Colorado" ], [ "Colorado_State_University", "isLocatedIn", "Larimer_County,_Colorado" ], [ "Colorado_State_University", "isLocatedIn", "United_States" ], [ "Cortez,_Colorado", "isLocatedIn", "Colorado" ], [ "Cortez,_Colorado", "isLocatedIn", "United_States" ], [ "Craig,_Colorado", "isLocatedIn", "Colorado" ], [ "Craig,_Colorado", "isLocatedIn", "United_States" ], [ "Cripple_Creek,_Colorado", "isLocatedIn", "Colorado" ], [ "Cripple_Creek,_Colorado", "isLocatedIn", "United_States" ], [ "Delta,_Colorado", "isLocatedIn", "Colorado" ], [ "Delta,_Colorado", "isLocatedIn", "United_States" ], [ "Democratic_Party_(United_States)", "isLocatedIn", "United_States" ], [ "Denver", "isLocatedIn", "Colorado" ], [ "Denver", "isLocatedIn", "United_States" ], [ "Durango,_Colorado", "isLocatedIn", "Colorado" ], [ "Durango,_Colorado", "isLocatedIn", "United_States" ], [ "Egypt", "dealsWith", "United_States" ], [ "Englewood,_Colorado", "isLocatedIn", "Colorado" ], [ "Englewood,_Colorado", "isLocatedIn", "United_States" ], [ "Estes_Park,_Colorado", "isLocatedIn", "Colorado" ], [ "Estes_Park,_Colorado", "isLocatedIn", "Larimer_County,_Colorado" ], [ "Estes_Park,_Colorado", "isLocatedIn", "United_States" ], [ "Evergreen,_Colorado", "isLocatedIn", "Colorado" ], [ "Evergreen,_Colorado", "isLocatedIn", "United_States" ], [ "Florence,_Colorado", "isLocatedIn", "Colorado" ], [ "Florence,_Colorado", "isLocatedIn", "United_States" ], [ "Fort_Collins", "isLocatedIn", "Colorado" ], [ "Fort_Collins", "isLocatedIn", "Larimer_County,_Colorado" ], [ "Fort_Collins", "isLocatedIn", "United_States" ], [ "Fort_Collins,_Colorado", "isLocatedIn", "Colorado" ], [ "Fort_Collins,_Colorado", "isLocatedIn", "Larimer_County,_Colorado" ], [ "Fort_Collins,_Colorado", "isLocatedIn", "United_States" ], [ "Fountain,_Colorado", "isLocatedIn", "Colorado" ], [ "Fountain,_Colorado", "isLocatedIn", "United_States" ], [ "George_Gervin", "isAffiliatedTo", "Bàsquet_Manresa" ], [ "George_Gervin", "isCitizenOf", "United_States" ], [ "George_L._Brown", "isCitizenOf", "United_States" ], [ "George_L._Brown", "isPoliticianOf", "Colorado" ], [ "Ghulam_Ahmad_(engineer)", "graduatedFrom", "Colorado_State_University" ], [ "Ghulam_Ahmad_(engineer)", "isCitizenOf", "Pakistan" ], [ "Glenwood_Springs,_Colorado", "isLocatedIn", "Colorado" ], [ "Glenwood_Springs,_Colorado", "isLocatedIn", "United_States" ], [ "Golden,_Colorado", "isLocatedIn", "Colorado" ], [ "Golden,_Colorado", "isLocatedIn", "United_States" ], [ "Grand_Junction,_Colorado", "isLocatedIn", "Colorado" ], [ "Grand_Junction,_Colorado", "isLocatedIn", "United_States" ], [ "Greeley,_Colorado", "isLocatedIn", "Colorado" ], [ "Greeley,_Colorado", "isLocatedIn", "United_States" ], [ "Greenwood_Village,_Colorado", "isLocatedIn", "Colorado" ], [ "Greenwood_Village,_Colorado", "isLocatedIn", "United_States" ], [ "Gunnison,_Colorado", "isLocatedIn", "Colorado" ], [ "Gunnison,_Colorado", "isLocatedIn", "United_States" ], [ "High_Plains_(United_States)", "isLocatedIn", "Colorado" ], [ "High_Plains_(United_States)", "isLocatedIn", "United_States" ], [ "John_Hickenlooper", "isPoliticianOf", "Colorado" ], [ "John_Hickenlooper", "isPoliticianOf", "United_States" ], [ "La_Junta,_Colorado", "isLocatedIn", "Colorado" ], [ "La_Junta,_Colorado", "isLocatedIn", "United_States" ], [ "Lafayette,_Colorado", "isLocatedIn", "Colorado" ], [ "Lafayette,_Colorado", "isLocatedIn", "United_States" ], [ "Lamar,_Colorado", "isLocatedIn", "Colorado" ], [ "Lamar,_Colorado", "isLocatedIn", "United_States" ], [ "Larimer_County,_Colorado", "isLocatedIn", "Fort_Collins" ], [ "Leadville,_Colorado", "isLocatedIn", "Colorado" ], [ "Leadville,_Colorado", "isLocatedIn", "United_States" ], [ "Littleton,_Colorado", "isLocatedIn", "Colorado" ], [ "Littleton,_Colorado", "isLocatedIn", "United_States" ], [ "Longmont,_Colorado", "isLocatedIn", "Colorado" ], [ "Longmont,_Colorado", "isLocatedIn", "United_States" ], [ "Louisiana_Tech_University", "isLocatedIn", "United_States" ], [ "Louisville,_Colorado", "isLocatedIn", "Colorado" ], [ "Louisville,_Colorado", "isLocatedIn", "United_States" ], [ "Loveland,_Colorado", "isLocatedIn", "Colorado" ], [ "Loveland,_Colorado", "isLocatedIn", "Larimer_County,_Colorado" ], [ "Loveland,_Colorado", "isLocatedIn", "United_States" ], [ "Manitou_Springs,_Colorado", "isLocatedIn", "Colorado" ], [ "Manitou_Springs,_Colorado", "isLocatedIn", "United_States" ], [ "Manti-La_Sal_National_Forest", "isLocatedIn", "Colorado" ], [ "Manti-La_Sal_National_Forest", "isLocatedIn", "United_States" ], [ "Meridian,_Colorado", "isLocatedIn", "Colorado" ], [ "Meridian,_Colorado", "isLocatedIn", "United_States" ], [ "Mike_Brown_(basketball,_born_1963)", "isAffiliatedTo", "Bàsquet_Manresa" ], [ "Mike_Brown_(basketball,_born_1963)", "isCitizenOf", "United_States" ], [ "Molson_Coors_Brewing_Company", "isLocatedIn", "Colorado" ], [ "Molson_Coors_Brewing_Company", "isLocatedIn", "United_States" ], [ "Montrose,_Colorado", "isLocatedIn", "Colorado" ], [ "Montrose,_Colorado", "isLocatedIn", "United_States" ], [ "Morrison,_Colorado", "isLocatedIn", "Colorado" ], [ "Morrison,_Colorado", "isLocatedIn", "United_States" ], [ "Mount_Vernon,_Washington", "isLocatedIn", "United_States" ], [ "Mount_Vernon,_Washington", "isLocatedIn", "Washington_(state)" ], [ "Mousa_Mohammed_Abu_Marzook", "graduatedFrom", "Colorado_State_University" ], [ "Mousa_Mohammed_Abu_Marzook", "graduatedFrom", "Louisiana_Tech_University" ], [ "Mousa_Mohammed_Abu_Marzook", "livesIn", "Egypt" ], [ "Ouray,_Colorado", "isLocatedIn", "Colorado" ], [ "Ouray,_Colorado", "isLocatedIn", "United_States" ], [ "Pakistan", "dealsWith", "United_States" ], [ "Parker,_Colorado", "isLocatedIn", "Colorado" ], [ "Parker,_Colorado", "isLocatedIn", "United_States" ], [ "Pepsi_Center", "isLocatedIn", "Colorado" ], [ "Pepsi_Center", "isLocatedIn", "United_States" ], [ "Pike_National_Forest", "isLocatedIn", "Colorado" ], [ "Pike_National_Forest", "isLocatedIn", "United_States" ], [ "Pueblo,_Colorado", "isLocatedIn", "Colorado" ], [ "Pueblo,_Colorado", "isLocatedIn", "United_States" ], [ "Rajat_Gupta", "isCitizenOf", "United_States" ], [ "Rajat_Gupta", "livesIn", "Colorado" ], [ "Rajat_Gupta", "livesIn", "United_States" ], [ "Rapid_City,_South_Dakota", "isLocatedIn", "United_States" ], [ "Regis_University", "isLocatedIn", "Colorado" ], [ "Regis_University", "isLocatedIn", "United_States" ], [ "Rocky_Mountain_National_Park", "isLocatedIn", "Colorado" ], [ "Rocky_Mountain_National_Park", "isLocatedIn", "Larimer_County,_Colorado" ], [ "Rocky_Mountain_National_Park", "isLocatedIn", "United_States" ], [ "Rocky_Mountains", "isLocatedIn", "Colorado" ], [ "Rocky_Mountains", "isLocatedIn", "United_States" ], [ "Rod_Blagojevich", "isPoliticianOf", "United_States" ], [ "Rod_Blagojevich", "livesIn", "Colorado" ], [ "Salida,_Colorado", "isLocatedIn", "Colorado" ], [ "Salida,_Colorado", "isLocatedIn", "United_States" ], [ "Steamboat_Springs,_Colorado", "isLocatedIn", "Colorado" ], [ "Steamboat_Springs,_Colorado", "isLocatedIn", "United_States" ], [ "Sterling,_Colorado", "isLocatedIn", "Colorado" ], [ "Sterling,_Colorado", "isLocatedIn", "United_States" ], [ "Telluride,_Colorado", "isLocatedIn", "Colorado" ], [ "Telluride,_Colorado", "isLocatedIn", "United_States" ], [ "Thornton,_Colorado", "isLocatedIn", "Colorado" ], [ "Thornton,_Colorado", "isLocatedIn", "United_States" ], [ "Trinidad,_Colorado", "isLocatedIn", "Colorado" ], [ "Trinidad,_Colorado", "isLocatedIn", "United_States" ], [ "Troy_DeVries", "isAffiliatedTo", "Bàsquet_Manresa" ], [ "Troy_DeVries", "wasBornIn", "Mount_Vernon,_Washington" ], [ "United_States_Air_Force_Academy", "isLocatedIn", "Colorado" ], [ "United_States_Air_Force_Academy", "isLocatedIn", "United_States" ], [ "University_of_Colorado", "isLocatedIn", "Colorado" ], [ "University_of_Colorado", "isLocatedIn", "United_States" ], [ "University_of_Colorado_Boulder", "isLocatedIn", "Colorado" ], [ "University_of_Colorado_Boulder", "isLocatedIn", "United_States" ], [ "University_of_Denver", "isLocatedIn", "Colorado" ], [ "University_of_Denver", "isLocatedIn", "United_States" ], [ "University_of_Northern_Colorado", "isLocatedIn", "Colorado" ], [ "University_of_Northern_Colorado", "isLocatedIn", "United_States" ], [ "Vail,_Colorado", "isLocatedIn", "Colorado" ], [ "Vail,_Colorado", "isLocatedIn", "United_States" ], [ "Washington_(state)", "isLocatedIn", "United_States" ], [ "Western_United_States", "isLocatedIn", "United_States" ], [ "Westminster,_Colorado", "isLocatedIn", "Colorado" ], [ "Westminster,_Colorado", "isLocatedIn", "United_States" ], [ "Westwood_College", "isLocatedIn", "Colorado" ], [ "Westwood_College", "isLocatedIn", "United_States" ], [ "Wheat_Ridge,_Colorado", "isLocatedIn", "Colorado" ], [ "Wheat_Ridge,_Colorado", "isLocatedIn", "United_States" ], [ "White_River_National_Forest", "isLocatedIn", "Colorado" ], [ "White_River_National_Forest", "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 7240, Ararat_Arakelyan 73998, Armenia_national_football_team 118577, Armenia_national_under-21_football_team 95977, Arsen_Avetisyan 101158, Eduardo_Roberto_dos_Santos 633, FC_Ararat_Yerevan 117159, FC_Banants 39635, FC_Gandzasar 117791, FC_Malatia_Yerevan 105389, FC_Metalurh_Donetsk 102366, FC_Pyunik 40936, FC_Shirak 104249, Hiraç_Yagan 118523, Hrayr_Mkoyan 79816, José_Carlos_Fernández_(Peruvian_footballer) 67603, Kilikia_F.C. 54072, Noah_Babadi_Kasule 11221, Oganes_Zanazanyan 121470, Regilio_Seedorf 33696, Roman_Berezovsky 21613, Samvel_Melkonyan 32420, Sergey_Erzrumyan 91654, Ulisses_FC 25249, Valeri_Aleksanyan 29678, Zaven_Badoyan 118104, male src, edge_attr, dst 7240, hasGender, 118104 7240, isAffiliatedTo, 73998 7240, isAffiliatedTo, 118577 7240, isAffiliatedTo, 117159 7240, isAffiliatedTo, 39635 7240, isAffiliatedTo, 117791 7240, isAffiliatedTo, 105389 7240, playsFor, 73998 7240, playsFor, 118577 7240, playsFor, 117159 7240, playsFor, 39635 7240, playsFor, 105389 95977, hasGender, 118104 95977, isAffiliatedTo, 73998 95977, isAffiliatedTo, 633 95977, isAffiliatedTo, 39635 95977, isAffiliatedTo, 117791 95977, isAffiliatedTo, 102366 95977, playsFor, 73998 95977, playsFor, 633 95977, playsFor, 39635 95977, playsFor, 117791 95977, playsFor, 102366 101158, hasGender, 118104 101158, isAffiliatedTo, 117159 101158, isAffiliatedTo, 39635 101158, playsFor, 117159 101158, playsFor, 39635 104249, hasGender, 118104 104249, isAffiliatedTo, 73998 104249, isAffiliatedTo, 118577 104249, isAffiliatedTo, 39635 104249, playsFor, 73998 104249, playsFor, 118577 104249, playsFor, 39635 118523, hasGender, 118104 118523, isAffiliatedTo, 73998 118523, isAffiliatedTo, 118577 118523, isAffiliatedTo, 633 118523, isAffiliatedTo, 39635 118523, isAffiliatedTo, 40936 118523, isAffiliatedTo, 91654 118523, playsFor, 73998 118523, playsFor, 118577 118523, playsFor, 633 118523, playsFor, 39635 118523, playsFor, 40936 118523, playsFor, 91654 79816, hasGender, 118104 54072, hasGender, 118104 54072, isAffiliatedTo, 117159 54072, isAffiliatedTo, 39635 54072, playsFor, 117159 54072, playsFor, 39635 11221, hasGender, 118104 11221, isAffiliatedTo, 633 11221, isAffiliatedTo, 39635 11221, isAffiliatedTo, 40936 11221, playsFor, 633 11221, playsFor, 39635 11221, playsFor, 40936 121470, hasGender, 118104 121470, isAffiliatedTo, 39635 121470, playsFor, 39635 33696, hasGender, 118104 33696, isAffiliatedTo, 73998 33696, isAffiliatedTo, 39635 33696, playsFor, 39635 21613, hasGender, 118104 21613, isAffiliatedTo, 73998 21613, isAffiliatedTo, 118577 21613, isAffiliatedTo, 117159 21613, isAffiliatedTo, 39635 21613, isAffiliatedTo, 105389 21613, isAffiliatedTo, 91654 21613, playsFor, 117159 21613, playsFor, 39635 21613, playsFor, 105389 21613, playsFor, 91654 32420, hasGender, 118104 32420, isAffiliatedTo, 118577 32420, isAffiliatedTo, 633 32420, isAffiliatedTo, 117159 32420, isAffiliatedTo, 39635 32420, isAffiliatedTo, 102366 32420, isAffiliatedTo, 67603 32420, playsFor, 633 32420, playsFor, 117159 32420, playsFor, 39635 32420, playsFor, 102366 32420, playsFor, 67603 25249, hasGender, 118104 25249, isAffiliatedTo, 73998 25249, isAffiliatedTo, 118577 25249, isAffiliatedTo, 39635 25249, isAffiliatedTo, 102366 25249, isAffiliatedTo, 91654 25249, playsFor, 39635 25249, playsFor, 102366 25249, playsFor, 91654 29678, hasGender, 118104 29678, isAffiliatedTo, 118577 29678, isAffiliatedTo, 67603 29678, playsFor, 73998 29678, playsFor, 118577 29678, playsFor, 39635 29678, playsFor, 67603 Question: For what reason are FC_Gandzasar and José_Carlos_Fernández_(Peruvian_footballer) associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "FC_Gandzasar", "José_Carlos_Fernández_(Peruvian_footballer)" ], "valid_edges": [ [ "Ararat_Arakelyan", "hasGender", "male" ], [ "Ararat_Arakelyan", "isAffiliatedTo", "Armenia_national_football_team" ], [ "Ararat_Arakelyan", "isAffiliatedTo", "Armenia_national_under-21_football_team" ], [ "Ararat_Arakelyan", "isAffiliatedTo", "FC_Banants" ], [ "Ararat_Arakelyan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Ararat_Arakelyan", "isAffiliatedTo", "FC_Malatia_Yerevan" ], [ "Ararat_Arakelyan", "isAffiliatedTo", "FC_Metalurh_Donetsk" ], [ "Ararat_Arakelyan", "playsFor", "Armenia_national_football_team" ], [ "Ararat_Arakelyan", "playsFor", "Armenia_national_under-21_football_team" ], [ "Ararat_Arakelyan", "playsFor", "FC_Banants" ], [ "Ararat_Arakelyan", "playsFor", "FC_Gandzasar" ], [ "Ararat_Arakelyan", "playsFor", "FC_Metalurh_Donetsk" ], [ "Arsen_Avetisyan", "hasGender", "male" ], [ "Arsen_Avetisyan", "isAffiliatedTo", "Armenia_national_football_team" ], [ "Arsen_Avetisyan", "isAffiliatedTo", "FC_Ararat_Yerevan" ], [ "Arsen_Avetisyan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Arsen_Avetisyan", "isAffiliatedTo", "FC_Malatia_Yerevan" ], [ "Arsen_Avetisyan", "isAffiliatedTo", "FC_Pyunik" ], [ "Arsen_Avetisyan", "playsFor", "Armenia_national_football_team" ], [ "Arsen_Avetisyan", "playsFor", "FC_Ararat_Yerevan" ], [ "Arsen_Avetisyan", "playsFor", "FC_Gandzasar" ], [ "Arsen_Avetisyan", "playsFor", "FC_Malatia_Yerevan" ], [ "Arsen_Avetisyan", "playsFor", "FC_Pyunik" ], [ "Eduardo_Roberto_dos_Santos", "hasGender", "male" ], [ "Eduardo_Roberto_dos_Santos", "isAffiliatedTo", "FC_Banants" ], [ "Eduardo_Roberto_dos_Santos", "isAffiliatedTo", "FC_Gandzasar" ], [ "Eduardo_Roberto_dos_Santos", "playsFor", "FC_Banants" ], [ "Eduardo_Roberto_dos_Santos", "playsFor", "FC_Gandzasar" ], [ "Hiraç_Yagan", "hasGender", "male" ], [ "Hiraç_Yagan", "isAffiliatedTo", "Armenia_national_football_team" ], [ "Hiraç_Yagan", "isAffiliatedTo", "Armenia_national_under-21_football_team" ], [ "Hiraç_Yagan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Hiraç_Yagan", "playsFor", "Armenia_national_football_team" ], [ "Hiraç_Yagan", "playsFor", "Armenia_national_under-21_football_team" ], [ "Hiraç_Yagan", "playsFor", "FC_Gandzasar" ], [ "Hrayr_Mkoyan", "hasGender", "male" ], [ "Hrayr_Mkoyan", "isAffiliatedTo", "Armenia_national_football_team" ], [ "Hrayr_Mkoyan", "isAffiliatedTo", "Armenia_national_under-21_football_team" ], [ "Hrayr_Mkoyan", "isAffiliatedTo", "FC_Ararat_Yerevan" ], [ "Hrayr_Mkoyan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Hrayr_Mkoyan", "isAffiliatedTo", "FC_Shirak" ], [ "Hrayr_Mkoyan", "isAffiliatedTo", "Ulisses_FC" ], [ "Hrayr_Mkoyan", "playsFor", "Armenia_national_football_team" ], [ "Hrayr_Mkoyan", "playsFor", "Armenia_national_under-21_football_team" ], [ "Hrayr_Mkoyan", "playsFor", "FC_Ararat_Yerevan" ], [ "Hrayr_Mkoyan", "playsFor", "FC_Gandzasar" ], [ "Hrayr_Mkoyan", "playsFor", "FC_Shirak" ], [ "Hrayr_Mkoyan", "playsFor", "Ulisses_FC" ], [ "José_Carlos_Fernández_(Peruvian_footballer)", "hasGender", "male" ], [ "Noah_Babadi_Kasule", "hasGender", "male" ], [ "Noah_Babadi_Kasule", "isAffiliatedTo", "FC_Banants" ], [ "Noah_Babadi_Kasule", "isAffiliatedTo", "FC_Gandzasar" ], [ "Noah_Babadi_Kasule", "playsFor", "FC_Banants" ], [ "Noah_Babadi_Kasule", "playsFor", "FC_Gandzasar" ], [ "Oganes_Zanazanyan", "hasGender", "male" ], [ "Oganes_Zanazanyan", "isAffiliatedTo", "FC_Ararat_Yerevan" ], [ "Oganes_Zanazanyan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Oganes_Zanazanyan", "isAffiliatedTo", "FC_Shirak" ], [ "Oganes_Zanazanyan", "playsFor", "FC_Ararat_Yerevan" ], [ "Oganes_Zanazanyan", "playsFor", "FC_Gandzasar" ], [ "Oganes_Zanazanyan", "playsFor", "FC_Shirak" ], [ "Regilio_Seedorf", "hasGender", "male" ], [ "Regilio_Seedorf", "isAffiliatedTo", "FC_Gandzasar" ], [ "Regilio_Seedorf", "playsFor", "FC_Gandzasar" ], [ "Roman_Berezovsky", "hasGender", "male" ], [ "Roman_Berezovsky", "isAffiliatedTo", "Armenia_national_football_team" ], [ "Roman_Berezovsky", "isAffiliatedTo", "FC_Gandzasar" ], [ "Roman_Berezovsky", "playsFor", "FC_Gandzasar" ], [ "Samvel_Melkonyan", "hasGender", "male" ], [ "Samvel_Melkonyan", "isAffiliatedTo", "Armenia_national_football_team" ], [ "Samvel_Melkonyan", "isAffiliatedTo", "Armenia_national_under-21_football_team" ], [ "Samvel_Melkonyan", "isAffiliatedTo", "FC_Banants" ], [ "Samvel_Melkonyan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Samvel_Melkonyan", "isAffiliatedTo", "FC_Metalurh_Donetsk" ], [ "Samvel_Melkonyan", "isAffiliatedTo", "Ulisses_FC" ], [ "Samvel_Melkonyan", "playsFor", "FC_Banants" ], [ "Samvel_Melkonyan", "playsFor", "FC_Gandzasar" ], [ "Samvel_Melkonyan", "playsFor", "FC_Metalurh_Donetsk" ], [ "Samvel_Melkonyan", "playsFor", "Ulisses_FC" ], [ "Sergey_Erzrumyan", "hasGender", "male" ], [ "Sergey_Erzrumyan", "isAffiliatedTo", "Armenia_national_under-21_football_team" ], [ "Sergey_Erzrumyan", "isAffiliatedTo", "FC_Ararat_Yerevan" ], [ "Sergey_Erzrumyan", "isAffiliatedTo", "FC_Banants" ], [ "Sergey_Erzrumyan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Sergey_Erzrumyan", "isAffiliatedTo", "FC_Pyunik" ], [ "Sergey_Erzrumyan", "isAffiliatedTo", "Kilikia_F.C." ], [ "Sergey_Erzrumyan", "playsFor", "FC_Ararat_Yerevan" ], [ "Sergey_Erzrumyan", "playsFor", "FC_Banants" ], [ "Sergey_Erzrumyan", "playsFor", "FC_Gandzasar" ], [ "Sergey_Erzrumyan", "playsFor", "FC_Pyunik" ], [ "Sergey_Erzrumyan", "playsFor", "Kilikia_F.C." ], [ "Valeri_Aleksanyan", "hasGender", "male" ], [ "Valeri_Aleksanyan", "isAffiliatedTo", "Armenia_national_football_team" ], [ "Valeri_Aleksanyan", "isAffiliatedTo", "Armenia_national_under-21_football_team" ], [ "Valeri_Aleksanyan", "isAffiliatedTo", "FC_Gandzasar" ], [ "Valeri_Aleksanyan", "isAffiliatedTo", "FC_Pyunik" ], [ "Valeri_Aleksanyan", "isAffiliatedTo", "Ulisses_FC" ], [ "Valeri_Aleksanyan", "playsFor", "FC_Gandzasar" ], [ "Valeri_Aleksanyan", "playsFor", "FC_Pyunik" ], [ "Valeri_Aleksanyan", "playsFor", "Ulisses_FC" ], [ "Zaven_Badoyan", "hasGender", "male" ], [ "Zaven_Badoyan", "isAffiliatedTo", "Armenia_national_under-21_football_team" ], [ "Zaven_Badoyan", "isAffiliatedTo", "Kilikia_F.C." ], [ "Zaven_Badoyan", "playsFor", "Armenia_national_football_team" ], [ "Zaven_Badoyan", "playsFor", "Armenia_national_under-21_football_team" ], [ "Zaven_Badoyan", "playsFor", "FC_Gandzasar" ], [ "Zaven_Badoyan", "playsFor", "Kilikia_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 65892, Alireza_Akbarpour 118711, Ashkan_Dejagah 108768, Esteghlal_F.C. 62576, Faraz_Fatemi 73808, Gostaresh_Foulad_F.C. 22387, Iran_national_football_team 48100, Machine_Sazi_Dabiri_Tabriz_F.C. 47052, Mohammad_Alavi_(footballer) 4125, Persepolis_F.C. 22183, Rasoul_Khatibi 81700, Tabriz 38896, Tractor_Sazi_F.C. 107712, Younes_Bahonar 9088, de/Deutsche_Fußballnationalmannschaft_(U-20-Männer) src, edge_attr, dst 65892, isAffiliatedTo, 108768 65892, isAffiliatedTo, 22387 65892, isAffiliatedTo, 48100 65892, playsFor, 108768 65892, playsFor, 22387 65892, playsFor, 48100 65892, wasBornIn, 81700 118711, isAffiliatedTo, 22387 118711, isAffiliatedTo, 9088 62576, isAffiliatedTo, 108768 62576, isAffiliatedTo, 22387 62576, isAffiliatedTo, 48100 62576, isAffiliatedTo, 4125 62576, playsFor, 108768 62576, playsFor, 22387 62576, playsFor, 48100 62576, playsFor, 4125 47052, isAffiliatedTo, 73808 47052, isAffiliatedTo, 22387 47052, isAffiliatedTo, 48100 47052, isAffiliatedTo, 4125 47052, playsFor, 73808 47052, playsFor, 22387 47052, playsFor, 48100 47052, playsFor, 4125 22183, isAffiliatedTo, 108768 22183, isAffiliatedTo, 73808 22183, isAffiliatedTo, 22387 22183, isAffiliatedTo, 48100 22183, isAffiliatedTo, 38896 22183, playsFor, 108768 22183, playsFor, 73808 22183, playsFor, 48100 22183, playsFor, 38896 22183, wasBornIn, 81700 107712, isAffiliatedTo, 73808 107712, isAffiliatedTo, 22387 107712, isAffiliatedTo, 48100 107712, isAffiliatedTo, 4125 107712, isAffiliatedTo, 38896 107712, playsFor, 73808 107712, playsFor, 22387 107712, playsFor, 48100 107712, playsFor, 4125 107712, playsFor, 38896 107712, wasBornIn, 81700 Question: In what context are Machine_Sazi_Dabiri_Tabriz_F.C. and de/Deutsche_Fußballnationalmannschaft_(U-20-Männer) connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Machine_Sazi_Dabiri_Tabriz_F.C.", "de/Deutsche_Fußballnationalmannschaft_(U-20-Männer)" ], "valid_edges": [ [ "Alireza_Akbarpour", "isAffiliatedTo", "Esteghlal_F.C." ], [ "Alireza_Akbarpour", "isAffiliatedTo", "Iran_national_football_team" ], [ "Alireza_Akbarpour", "isAffiliatedTo", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Alireza_Akbarpour", "playsFor", "Esteghlal_F.C." ], [ "Alireza_Akbarpour", "playsFor", "Iran_national_football_team" ], [ "Alireza_Akbarpour", "playsFor", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Alireza_Akbarpour", "wasBornIn", "Tabriz" ], [ "Ashkan_Dejagah", "isAffiliatedTo", "Iran_national_football_team" ], [ "Ashkan_Dejagah", "isAffiliatedTo", "de/Deutsche_Fußballnationalmannschaft_(U-20-Männer)" ], [ "Faraz_Fatemi", "isAffiliatedTo", "Esteghlal_F.C." ], [ "Faraz_Fatemi", "isAffiliatedTo", "Iran_national_football_team" ], [ "Faraz_Fatemi", "isAffiliatedTo", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Faraz_Fatemi", "isAffiliatedTo", "Persepolis_F.C." ], [ "Faraz_Fatemi", "playsFor", "Esteghlal_F.C." ], [ "Faraz_Fatemi", "playsFor", "Iran_national_football_team" ], [ "Faraz_Fatemi", "playsFor", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Faraz_Fatemi", "playsFor", "Persepolis_F.C." ], [ "Mohammad_Alavi_(footballer)", "isAffiliatedTo", "Gostaresh_Foulad_F.C." ], [ "Mohammad_Alavi_(footballer)", "isAffiliatedTo", "Iran_national_football_team" ], [ "Mohammad_Alavi_(footballer)", "isAffiliatedTo", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Mohammad_Alavi_(footballer)", "isAffiliatedTo", "Persepolis_F.C." ], [ "Mohammad_Alavi_(footballer)", "playsFor", "Gostaresh_Foulad_F.C." ], [ "Mohammad_Alavi_(footballer)", "playsFor", "Iran_national_football_team" ], [ "Mohammad_Alavi_(footballer)", "playsFor", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Mohammad_Alavi_(footballer)", "playsFor", "Persepolis_F.C." ], [ "Rasoul_Khatibi", "isAffiliatedTo", "Esteghlal_F.C." ], [ "Rasoul_Khatibi", "isAffiliatedTo", "Gostaresh_Foulad_F.C." ], [ "Rasoul_Khatibi", "isAffiliatedTo", "Iran_national_football_team" ], [ "Rasoul_Khatibi", "isAffiliatedTo", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Rasoul_Khatibi", "isAffiliatedTo", "Tractor_Sazi_F.C." ], [ "Rasoul_Khatibi", "playsFor", "Esteghlal_F.C." ], [ "Rasoul_Khatibi", "playsFor", "Gostaresh_Foulad_F.C." ], [ "Rasoul_Khatibi", "playsFor", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Rasoul_Khatibi", "playsFor", "Tractor_Sazi_F.C." ], [ "Rasoul_Khatibi", "wasBornIn", "Tabriz" ], [ "Younes_Bahonar", "isAffiliatedTo", "Gostaresh_Foulad_F.C." ], [ "Younes_Bahonar", "isAffiliatedTo", "Iran_national_football_team" ], [ "Younes_Bahonar", "isAffiliatedTo", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Younes_Bahonar", "isAffiliatedTo", "Persepolis_F.C." ], [ "Younes_Bahonar", "isAffiliatedTo", "Tractor_Sazi_F.C." ], [ "Younes_Bahonar", "playsFor", "Gostaresh_Foulad_F.C." ], [ "Younes_Bahonar", "playsFor", "Iran_national_football_team" ], [ "Younes_Bahonar", "playsFor", "Machine_Sazi_Dabiri_Tabriz_F.C." ], [ "Younes_Bahonar", "playsFor", "Persepolis_F.C." ], [ "Younes_Bahonar", "playsFor", "Tractor_Sazi_F.C." ], [ "Younes_Bahonar", "wasBornIn", "Tabriz" ] ], "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 111396, Agency_for_Defense_Development 92632, Choi_Min-sik 10544, Choi_Yun-kyum 59155, Daejeon 101310, Donald_James 97713, Ha_Seung-jin 99204, Hannam_University 106298, Jeong_Jun-ha 69516, Kim_Byong-joon 65933, Konkuk_University 66612, Korea_University 79505, Kwon_Sang-woo 3907, Kyung_Hee_University 92429, Lee_Byung-hun 78663, Lee_Gang-jin 28406, Lee_Myung-bak 41119, Lee_Sang-yoon_(footballer) 101346, Lee_Tae-ho 2935, Park_Chung-hee 60182, Park_Kun-ha 58327, Rhyu_Si-min 29117, Roh_Moo-hyun 8764, Seungsahn 93714, Shigeo_Yaegashi 107568, Sim_Jae-won 34518, Song_Kang-ho 82590, South_Korea 119592, Syngman_Rhee 92640, Yonsei_University 50993, Yoo_Jae-suk 118104, male src, edge_attr, dst 111396, isLocatedIn, 59155 111396, isLocatedIn, 82590 92632, hasGender, 118104 92632, isCitizenOf, 82590 10544, hasGender, 118104 10544, wasBornIn, 59155 59155, isLocatedIn, 82590 101310, hasGender, 118104 97713, hasGender, 118104 97713, isCitizenOf, 82590 99204, isLocatedIn, 59155 99204, isLocatedIn, 82590 106298, hasGender, 118104 106298, isCitizenOf, 82590 69516, hasGender, 118104 69516, isPoliticianOf, 82590 65933, isLocatedIn, 82590 66612, isLocatedIn, 82590 79505, hasGender, 118104 79505, wasBornIn, 59155 3907, isLocatedIn, 82590 92429, hasGender, 118104 92429, isCitizenOf, 82590 78663, hasGender, 118104 78663, wasBornIn, 59155 28406, hasGender, 118104 28406, isPoliticianOf, 82590 41119, hasGender, 118104 41119, isAffiliatedTo, 65933 41119, playsFor, 65933 41119, wasBornIn, 59155 101346, hasGender, 118104 101346, isAffiliatedTo, 66612 101346, playsFor, 66612 101346, wasBornIn, 59155 2935, hasGender, 118104 2935, isCitizenOf, 82590 2935, isPoliticianOf, 82590 60182, hasGender, 118104 60182, isAffiliatedTo, 3907 60182, playsFor, 3907 60182, wasBornIn, 59155 58327, hasGender, 118104 58327, isPoliticianOf, 82590 58327, livesIn, 82590 29117, hasGender, 118104 29117, isPoliticianOf, 82590 8764, hasGender, 118104 8764, isCitizenOf, 82590 93714, hasGender, 118104 93714, wasBornIn, 59155 107568, hasGender, 118104 107568, isAffiliatedTo, 92640 107568, playsFor, 92640 107568, wasBornIn, 59155 34518, hasGender, 118104 34518, isCitizenOf, 82590 119592, hasGender, 118104 119592, isPoliticianOf, 82590 92640, isLocatedIn, 82590 50993, hasGender, 118104 50993, isCitizenOf, 82590 Question: For what reason are Daejeon and Donald_James associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Daejeon", "Donald_James" ], "valid_edges": [ [ "Agency_for_Defense_Development", "isLocatedIn", "Daejeon" ], [ "Agency_for_Defense_Development", "isLocatedIn", "South_Korea" ], [ "Choi_Min-sik", "hasGender", "male" ], [ "Choi_Min-sik", "isCitizenOf", "South_Korea" ], [ "Choi_Yun-kyum", "hasGender", "male" ], [ "Choi_Yun-kyum", "wasBornIn", "Daejeon" ], [ "Daejeon", "isLocatedIn", "South_Korea" ], [ "Donald_James", "hasGender", "male" ], [ "Ha_Seung-jin", "hasGender", "male" ], [ "Ha_Seung-jin", "isCitizenOf", "South_Korea" ], [ "Hannam_University", "isLocatedIn", "Daejeon" ], [ "Hannam_University", "isLocatedIn", "South_Korea" ], [ "Jeong_Jun-ha", "hasGender", "male" ], [ "Jeong_Jun-ha", "isCitizenOf", "South_Korea" ], [ "Kim_Byong-joon", "hasGender", "male" ], [ "Kim_Byong-joon", "isPoliticianOf", "South_Korea" ], [ "Konkuk_University", "isLocatedIn", "South_Korea" ], [ "Korea_University", "isLocatedIn", "South_Korea" ], [ "Kwon_Sang-woo", "hasGender", "male" ], [ "Kwon_Sang-woo", "wasBornIn", "Daejeon" ], [ "Kyung_Hee_University", "isLocatedIn", "South_Korea" ], [ "Lee_Byung-hun", "hasGender", "male" ], [ "Lee_Byung-hun", "isCitizenOf", "South_Korea" ], [ "Lee_Gang-jin", "hasGender", "male" ], [ "Lee_Gang-jin", "wasBornIn", "Daejeon" ], [ "Lee_Myung-bak", "hasGender", "male" ], [ "Lee_Myung-bak", "isPoliticianOf", "South_Korea" ], [ "Lee_Sang-yoon_(footballer)", "hasGender", "male" ], [ "Lee_Sang-yoon_(footballer)", "isAffiliatedTo", "Konkuk_University" ], [ "Lee_Sang-yoon_(footballer)", "playsFor", "Konkuk_University" ], [ "Lee_Sang-yoon_(footballer)", "wasBornIn", "Daejeon" ], [ "Lee_Tae-ho", "hasGender", "male" ], [ "Lee_Tae-ho", "isAffiliatedTo", "Korea_University" ], [ "Lee_Tae-ho", "playsFor", "Korea_University" ], [ "Lee_Tae-ho", "wasBornIn", "Daejeon" ], [ "Park_Chung-hee", "hasGender", "male" ], [ "Park_Chung-hee", "isCitizenOf", "South_Korea" ], [ "Park_Chung-hee", "isPoliticianOf", "South_Korea" ], [ "Park_Kun-ha", "hasGender", "male" ], [ "Park_Kun-ha", "isAffiliatedTo", "Kyung_Hee_University" ], [ "Park_Kun-ha", "playsFor", "Kyung_Hee_University" ], [ "Park_Kun-ha", "wasBornIn", "Daejeon" ], [ "Rhyu_Si-min", "hasGender", "male" ], [ "Rhyu_Si-min", "isPoliticianOf", "South_Korea" ], [ "Rhyu_Si-min", "livesIn", "South_Korea" ], [ "Roh_Moo-hyun", "hasGender", "male" ], [ "Roh_Moo-hyun", "isPoliticianOf", "South_Korea" ], [ "Seungsahn", "hasGender", "male" ], [ "Seungsahn", "isCitizenOf", "South_Korea" ], [ "Shigeo_Yaegashi", "hasGender", "male" ], [ "Shigeo_Yaegashi", "wasBornIn", "Daejeon" ], [ "Sim_Jae-won", "hasGender", "male" ], [ "Sim_Jae-won", "isAffiliatedTo", "Yonsei_University" ], [ "Sim_Jae-won", "playsFor", "Yonsei_University" ], [ "Sim_Jae-won", "wasBornIn", "Daejeon" ], [ "Song_Kang-ho", "hasGender", "male" ], [ "Song_Kang-ho", "isCitizenOf", "South_Korea" ], [ "Syngman_Rhee", "hasGender", "male" ], [ "Syngman_Rhee", "isPoliticianOf", "South_Korea" ], [ "Yonsei_University", "isLocatedIn", "South_Korea" ], [ "Yoo_Jae-suk", "hasGender", "male" ], [ "Yoo_Jae-suk", "isCitizenOf", "South_Korea" ] ], "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 78895, Hamirpur_district,_Himachal_Pradesh 59015, Himachal_Pradesh 92666, Manfred_Zsak 88885, Virbhadra_Singh 118104, male src, edge_attr, dst 78895, isLocatedIn, 59015 92666, hasGender, 118104 88885, hasGender, 118104 88885, isLeaderOf, 59015 88885, isPoliticianOf, 59015 Question: In what context are Hamirpur_district,_Himachal_Pradesh and Manfred_Zsak connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Hamirpur_district,_Himachal_Pradesh", "Manfred_Zsak" ], "valid_edges": [ [ "Hamirpur_district,_Himachal_Pradesh", "isLocatedIn", "Himachal_Pradesh" ], [ "Manfred_Zsak", "hasGender", "male" ], [ "Virbhadra_Singh", "hasGender", "male" ], [ "Virbhadra_Singh", "isLeaderOf", "Himachal_Pradesh" ], [ "Virbhadra_Singh", "isPoliticianOf", "Himachal_Pradesh" ] ], "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 65312, Boston_College_Eagles 28120, Bruce_Arena 1204, Charlie_Davies 40808, Cornell_University 114728, D.C._United src, edge_attr, dst 28120, isAffiliatedTo, 40808 28120, isAffiliatedTo, 114728 1204, isAffiliatedTo, 65312 1204, isAffiliatedTo, 114728 1204, playsFor, 65312 1204, playsFor, 114728 Question: How are Boston_College_Eagles and Cornell_University related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Boston_College_Eagles", "Cornell_University" ], "valid_edges": [ [ "Bruce_Arena", "isAffiliatedTo", "Cornell_University" ], [ "Bruce_Arena", "isAffiliatedTo", "D.C._United" ], [ "Charlie_Davies", "isAffiliatedTo", "Boston_College_Eagles" ], [ "Charlie_Davies", "isAffiliatedTo", "D.C._United" ], [ "Charlie_Davies", "playsFor", "Boston_College_Eagles" ], [ "Charlie_Davies", "playsFor", "D.C._United" ] ], "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 58919, Arik_Gilrovich 1577, Ashdod 25536, Bnei_Yehuda_Tel_Aviv_F.C. 49461, Eraldo_Da_Roma 84476, F.C._Ashdod 10509, Hapoel_Ashkelon_F.C. 104502, Hapoel_Ramat_Gan_Giv'atayim_F.C. 17081, Hapoel_Tel_Aviv_F.C. 24250, Kobi_Hassan 85754, Kobi_Nachtailer 87067, Maaran_Lala 101432, Maccabi_Netanya_F.C. 6795, Maccabi_Sha'arayim_F.C. 52797, Nir_Nachum 18238, Sektzia_Nes_Tziona_F.C. 123022, Snir_Gueta 79183, Yonatan_Revivo 118104, male src, edge_attr, dst 58919, isAffiliatedTo, 104502 58919, isAffiliatedTo, 6795 58919, playsFor, 104502 58919, playsFor, 6795 49461, hasGender, 118104 24250, hasGender, 118104 24250, isAffiliatedTo, 104502 24250, isAffiliatedTo, 101432 24250, isAffiliatedTo, 6795 24250, playsFor, 104502 24250, playsFor, 101432 24250, playsFor, 6795 85754, hasGender, 118104 85754, isAffiliatedTo, 17081 85754, isAffiliatedTo, 6795 85754, playsFor, 17081 85754, playsFor, 6795 87067, hasGender, 118104 87067, isAffiliatedTo, 17081 87067, isAffiliatedTo, 6795 87067, playsFor, 17081 87067, playsFor, 6795 52797, hasGender, 118104 52797, isAffiliatedTo, 25536 52797, isAffiliatedTo, 84476 52797, isAffiliatedTo, 10509 52797, isAffiliatedTo, 17081 52797, isAffiliatedTo, 101432 52797, isAffiliatedTo, 6795 52797, isAffiliatedTo, 18238 52797, playsFor, 25536 52797, playsFor, 84476 52797, playsFor, 10509 52797, playsFor, 17081 52797, playsFor, 101432 52797, playsFor, 6795 52797, playsFor, 18238 52797, wasBornIn, 1577 123022, hasGender, 118104 123022, isAffiliatedTo, 10509 123022, isAffiliatedTo, 101432 123022, isAffiliatedTo, 6795 123022, playsFor, 10509 123022, playsFor, 101432 123022, playsFor, 6795 79183, hasGender, 118104 79183, isAffiliatedTo, 25536 79183, isAffiliatedTo, 84476 79183, isAffiliatedTo, 6795 79183, isAffiliatedTo, 18238 79183, playsFor, 25536 79183, playsFor, 6795 79183, playsFor, 18238 79183, wasBornIn, 1577 Question: In what context are Eraldo_Da_Roma and Maccabi_Sha'arayim_F.C. connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Eraldo_Da_Roma", "Maccabi_Sha'arayim_F.C." ], "valid_edges": [ [ "Arik_Gilrovich", "isAffiliatedTo", "Hapoel_Ramat_Gan_Giv'atayim_F.C." ], [ "Arik_Gilrovich", "isAffiliatedTo", "Maccabi_Sha'arayim_F.C." ], [ "Arik_Gilrovich", "playsFor", "Hapoel_Ramat_Gan_Giv'atayim_F.C." ], [ "Arik_Gilrovich", "playsFor", "Maccabi_Sha'arayim_F.C." ], [ "Eraldo_Da_Roma", "hasGender", "male" ], [ "Kobi_Hassan", "hasGender", "male" ], [ "Kobi_Hassan", "isAffiliatedTo", "Hapoel_Ramat_Gan_Giv'atayim_F.C." ], [ "Kobi_Hassan", "isAffiliatedTo", "Maccabi_Netanya_F.C." ], [ "Kobi_Hassan", "isAffiliatedTo", "Maccabi_Sha'arayim_F.C." ], [ "Kobi_Hassan", "playsFor", "Hapoel_Ramat_Gan_Giv'atayim_F.C." ], [ "Kobi_Hassan", "playsFor", "Maccabi_Netanya_F.C." ], [ "Kobi_Hassan", "playsFor", "Maccabi_Sha'arayim_F.C." ], [ "Kobi_Nachtailer", "hasGender", "male" ], [ "Kobi_Nachtailer", "isAffiliatedTo", "Hapoel_Tel_Aviv_F.C." ], [ "Kobi_Nachtailer", "isAffiliatedTo", "Maccabi_Sha'arayim_F.C." ], [ "Kobi_Nachtailer", "playsFor", "Hapoel_Tel_Aviv_F.C." ], [ "Kobi_Nachtailer", "playsFor", "Maccabi_Sha'arayim_F.C." ], [ "Maaran_Lala", "hasGender", "male" ], [ "Maaran_Lala", "isAffiliatedTo", "Hapoel_Tel_Aviv_F.C." ], [ "Maaran_Lala", "isAffiliatedTo", "Maccabi_Sha'arayim_F.C." ], [ "Maaran_Lala", "playsFor", "Hapoel_Tel_Aviv_F.C." ], [ "Maaran_Lala", "playsFor", "Maccabi_Sha'arayim_F.C." ], [ "Nir_Nachum", "hasGender", "male" ], [ "Nir_Nachum", "isAffiliatedTo", "Bnei_Yehuda_Tel_Aviv_F.C." ], [ "Nir_Nachum", "isAffiliatedTo", "F.C._Ashdod" ], [ "Nir_Nachum", "isAffiliatedTo", "Hapoel_Ashkelon_F.C." ], [ "Nir_Nachum", "isAffiliatedTo", "Hapoel_Tel_Aviv_F.C." ], [ "Nir_Nachum", "isAffiliatedTo", "Maccabi_Netanya_F.C." ], [ "Nir_Nachum", "isAffiliatedTo", "Maccabi_Sha'arayim_F.C." ], [ "Nir_Nachum", "isAffiliatedTo", "Sektzia_Nes_Tziona_F.C." ], [ "Nir_Nachum", "playsFor", "Bnei_Yehuda_Tel_Aviv_F.C." ], [ "Nir_Nachum", "playsFor", "F.C._Ashdod" ], [ "Nir_Nachum", "playsFor", "Hapoel_Ashkelon_F.C." ], [ "Nir_Nachum", "playsFor", "Hapoel_Tel_Aviv_F.C." ], [ "Nir_Nachum", "playsFor", "Maccabi_Netanya_F.C." ], [ "Nir_Nachum", "playsFor", "Maccabi_Sha'arayim_F.C." ], [ "Nir_Nachum", "playsFor", "Sektzia_Nes_Tziona_F.C." ], [ "Nir_Nachum", "wasBornIn", "Ashdod" ], [ "Snir_Gueta", "hasGender", "male" ], [ "Snir_Gueta", "isAffiliatedTo", "Hapoel_Ashkelon_F.C." ], [ "Snir_Gueta", "isAffiliatedTo", "Maccabi_Netanya_F.C." ], [ "Snir_Gueta", "isAffiliatedTo", "Maccabi_Sha'arayim_F.C." ], [ "Snir_Gueta", "playsFor", "Hapoel_Ashkelon_F.C." ], [ "Snir_Gueta", "playsFor", "Maccabi_Netanya_F.C." ], [ "Snir_Gueta", "playsFor", "Maccabi_Sha'arayim_F.C." ], [ "Yonatan_Revivo", "hasGender", "male" ], [ "Yonatan_Revivo", "isAffiliatedTo", "Bnei_Yehuda_Tel_Aviv_F.C." ], [ "Yonatan_Revivo", "isAffiliatedTo", "F.C._Ashdod" ], [ "Yonatan_Revivo", "isAffiliatedTo", "Maccabi_Sha'arayim_F.C." ], [ "Yonatan_Revivo", "isAffiliatedTo", "Sektzia_Nes_Tziona_F.C." ], [ "Yonatan_Revivo", "playsFor", "Bnei_Yehuda_Tel_Aviv_F.C." ], [ "Yonatan_Revivo", "playsFor", "Maccabi_Sha'arayim_F.C." ], [ "Yonatan_Revivo", "playsFor", "Sektzia_Nes_Tziona_F.C." ], [ "Yonatan_Revivo", "wasBornIn", "Ashdod" ] ], "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 39086, Hank_Williams_III 20833, Tomer_Ben_Yosef 118104, male src, edge_attr, dst 39086, hasGender, 118104 20833, hasGender, 118104 Question: For what reason are Hank_Williams_III and Tomer_Ben_Yosef associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Hank_Williams_III", "Tomer_Ben_Yosef" ], "valid_edges": [ [ "Hank_Williams_III", "hasGender", "male" ], [ "Tomer_Ben_Yosef", "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 8361, Houston 31940, Houston_Dynamo 805, Indiana_Invaders 596, Kevin_Goldthwaite 109991, Michael_Nesmith src, edge_attr, dst 31940, isLocatedIn, 8361 596, isAffiliatedTo, 31940 596, isAffiliatedTo, 805 596, playsFor, 31940 596, playsFor, 805 109991, wasBornIn, 8361 Question: How are Indiana_Invaders and Michael_Nesmith related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Indiana_Invaders", "Michael_Nesmith" ], "valid_edges": [ [ "Houston_Dynamo", "isLocatedIn", "Houston" ], [ "Kevin_Goldthwaite", "isAffiliatedTo", "Houston_Dynamo" ], [ "Kevin_Goldthwaite", "isAffiliatedTo", "Indiana_Invaders" ], [ "Kevin_Goldthwaite", "playsFor", "Houston_Dynamo" ], [ "Kevin_Goldthwaite", "playsFor", "Indiana_Invaders" ], [ "Michael_Nesmith", "wasBornIn", "Houston" ] ], "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 27438, Carol_Ann_Duffy 92028, Cholmondeley_Award 106912, Derek_Walcott 5170, Edna_O'Brien 75280, Edwin_Morgan_(poet) 43652, Elizabeth_Bishop 20374, Giannina_Braschi 21405, Hart_Crane 27625, Laura_Riding 24836, Lawrence_Durrell 63413, Liene_Jansone 2951, Nobel_Prize_in_Literature 16235, Order_of_the_British_Empire 24419, Philip_Larkin 71098, Roger_McGough 69774, Seamus_Heaney 70159, T._S._Eliot 111139, Ted_Hughes 80384, female src, edge_attr, dst 27438, hasGender, 80384 27438, hasWonPrize, 92028 27438, hasWonPrize, 16235 106912, hasWonPrize, 92028 106912, hasWonPrize, 2951 5170, hasGender, 80384 75280, hasWonPrize, 92028 43652, hasGender, 80384 43652, influences, 106912 20374, hasGender, 80384 21405, influences, 106912 21405, influences, 75280 27625, hasGender, 80384 27625, influences, 75280 24836, hasWonPrize, 92028 63413, hasGender, 80384 24419, hasWonPrize, 92028 24419, influences, 71098 71098, hasWonPrize, 92028 71098, hasWonPrize, 16235 71098, influences, 27438 69774, hasWonPrize, 92028 69774, hasWonPrize, 2951 69774, influences, 5170 69774, influences, 20374 70159, influences, 24836 70159, influences, 69774 111139, influences, 27438 111139, influences, 69774 Question: How are Cholmondeley_Award and Liene_Jansone related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Cholmondeley_Award", "Liene_Jansone" ], "valid_edges": [ [ "Carol_Ann_Duffy", "hasGender", "female" ], [ "Carol_Ann_Duffy", "hasWonPrize", "Cholmondeley_Award" ], [ "Carol_Ann_Duffy", "hasWonPrize", "Order_of_the_British_Empire" ], [ "Derek_Walcott", "hasWonPrize", "Cholmondeley_Award" ], [ "Derek_Walcott", "hasWonPrize", "Nobel_Prize_in_Literature" ], [ "Edna_O'Brien", "hasGender", "female" ], [ "Edwin_Morgan_(poet)", "hasWonPrize", "Cholmondeley_Award" ], [ "Elizabeth_Bishop", "hasGender", "female" ], [ "Elizabeth_Bishop", "influences", "Derek_Walcott" ], [ "Giannina_Braschi", "hasGender", "female" ], [ "Hart_Crane", "influences", "Derek_Walcott" ], [ "Hart_Crane", "influences", "Edwin_Morgan_(poet)" ], [ "Laura_Riding", "hasGender", "female" ], [ "Laura_Riding", "influences", "Edwin_Morgan_(poet)" ], [ "Lawrence_Durrell", "hasWonPrize", "Cholmondeley_Award" ], [ "Liene_Jansone", "hasGender", "female" ], [ "Philip_Larkin", "hasWonPrize", "Cholmondeley_Award" ], [ "Philip_Larkin", "influences", "Roger_McGough" ], [ "Roger_McGough", "hasWonPrize", "Cholmondeley_Award" ], [ "Roger_McGough", "hasWonPrize", "Order_of_the_British_Empire" ], [ "Roger_McGough", "influences", "Carol_Ann_Duffy" ], [ "Seamus_Heaney", "hasWonPrize", "Cholmondeley_Award" ], [ "Seamus_Heaney", "hasWonPrize", "Nobel_Prize_in_Literature" ], [ "Seamus_Heaney", "influences", "Edna_O'Brien" ], [ "Seamus_Heaney", "influences", "Giannina_Braschi" ], [ "T._S._Eliot", "influences", "Lawrence_Durrell" ], [ "T._S._Eliot", "influences", "Seamus_Heaney" ], [ "Ted_Hughes", "influences", "Carol_Ann_Duffy" ], [ "Ted_Hughes", "influences", "Seamus_Heaney" ] ], "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 32215, Hannover_96 51575, Hanover 22715, Lower_Saxony 67520, Order_of_the_Black_Eagle 47719, Prince_Ludwig_Ferdinand_of_Bavaria src, edge_attr, dst 95395, diedIn, 51575 95395, hasWonPrize, 67520 32215, isLocatedIn, 51575 32215, isLocatedIn, 22715 51575, isLocatedIn, 22715 22715, isLocatedIn, 51575 47719, hasWonPrize, 67520 Question: How are Hannover_96 and Prince_Ludwig_Ferdinand_of_Bavaria related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Hannover_96", "Prince_Ludwig_Ferdinand_of_Bavaria" ], "valid_edges": [ [ "Alexander_von_Linsingen", "diedIn", "Hanover" ], [ "Alexander_von_Linsingen", "hasWonPrize", "Order_of_the_Black_Eagle" ], [ "Hannover_96", "isLocatedIn", "Hanover" ], [ "Hannover_96", "isLocatedIn", "Lower_Saxony" ], [ "Hanover", "isLocatedIn", "Lower_Saxony" ], [ "Lower_Saxony", "isLocatedIn", "Hanover" ], [ "Prince_Ludwig_Ferdinand_of_Bavaria", "hasWonPrize", "Order_of_the_Black_Eagle" ] ], "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 113311, Adlai_Stevenson_II 87469, Charles_S._Deneen 31805, Crystal_Lake,_Illinois 91421, David_Bermudo 100449, Dick_Durbin 104218, Fred_Donner 29375, George_Ryan 115911, Grant_DePorter 59763, Gustav_Koerner 64657, Illinois 15509, James_R._Thompson 44896, Mark_Kirk 88597, Pat_Quinn_(politician) 93275, Paul_Simon_(politician) 108322, Richard_Yates,_Jr. 22823, Richard_Yates_(politician,_born_1815) 91345, Rod_Blagojevich 62121, Tony_Laubach 42071, William_Stratton 118104, male src, edge_attr, dst 113311, hasGender, 118104 113311, isPoliticianOf, 64657 87469, hasGender, 118104 87469, isPoliticianOf, 64657 31805, isLocatedIn, 64657 91421, hasGender, 118104 100449, hasGender, 118104 100449, isPoliticianOf, 64657 104218, hasGender, 118104 104218, livesIn, 64657 29375, hasGender, 118104 29375, isPoliticianOf, 64657 115911, hasGender, 118104 115911, livesIn, 64657 59763, hasGender, 118104 59763, isPoliticianOf, 64657 15509, hasGender, 118104 15509, isPoliticianOf, 64657 44896, hasGender, 118104 44896, isPoliticianOf, 64657 88597, hasGender, 118104 88597, isPoliticianOf, 64657 93275, hasGender, 118104 93275, isPoliticianOf, 64657 108322, hasGender, 118104 108322, isPoliticianOf, 64657 22823, hasGender, 118104 22823, isPoliticianOf, 64657 91345, hasGender, 118104 91345, isPoliticianOf, 64657 62121, hasGender, 118104 62121, livesIn, 64657 42071, hasGender, 118104 42071, isPoliticianOf, 64657 Question: How are Crystal_Lake,_Illinois and David_Bermudo related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Crystal_Lake,_Illinois", "David_Bermudo" ], "valid_edges": [ [ "Adlai_Stevenson_II", "hasGender", "male" ], [ "Adlai_Stevenson_II", "isPoliticianOf", "Illinois" ], [ "Charles_S._Deneen", "hasGender", "male" ], [ "Charles_S._Deneen", "isPoliticianOf", "Illinois" ], [ "Crystal_Lake,_Illinois", "isLocatedIn", "Illinois" ], [ "David_Bermudo", "hasGender", "male" ], [ "Dick_Durbin", "hasGender", "male" ], [ "Dick_Durbin", "isPoliticianOf", "Illinois" ], [ "Fred_Donner", "hasGender", "male" ], [ "Fred_Donner", "livesIn", "Illinois" ], [ "George_Ryan", "hasGender", "male" ], [ "George_Ryan", "isPoliticianOf", "Illinois" ], [ "Grant_DePorter", "hasGender", "male" ], [ "Grant_DePorter", "livesIn", "Illinois" ], [ "Gustav_Koerner", "hasGender", "male" ], [ "Gustav_Koerner", "isPoliticianOf", "Illinois" ], [ "James_R._Thompson", "hasGender", "male" ], [ "James_R._Thompson", "isPoliticianOf", "Illinois" ], [ "Mark_Kirk", "hasGender", "male" ], [ "Mark_Kirk", "isPoliticianOf", "Illinois" ], [ "Pat_Quinn_(politician)", "hasGender", "male" ], [ "Pat_Quinn_(politician)", "isPoliticianOf", "Illinois" ], [ "Paul_Simon_(politician)", "hasGender", "male" ], [ "Paul_Simon_(politician)", "isPoliticianOf", "Illinois" ], [ "Richard_Yates,_Jr.", "hasGender", "male" ], [ "Richard_Yates,_Jr.", "isPoliticianOf", "Illinois" ], [ "Richard_Yates_(politician,_born_1815)", "hasGender", "male" ], [ "Richard_Yates_(politician,_born_1815)", "isPoliticianOf", "Illinois" ], [ "Rod_Blagojevich", "hasGender", "male" ], [ "Rod_Blagojevich", "isPoliticianOf", "Illinois" ], [ "Tony_Laubach", "hasGender", "male" ], [ "Tony_Laubach", "livesIn", "Illinois" ], [ "William_Stratton", "hasGender", "male" ], [ "William_Stratton", "isPoliticianOf", "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 115207, Chad_Smith 77333, Kent_Courtney 61010, Louisiana 107913, Saint_Paul,_Minnesota 79912, Thibodaux,_Louisiana src, edge_attr, dst 115207, wasBornIn, 107913 77333, livesIn, 61010 77333, wasBornIn, 107913 79912, isLocatedIn, 61010 Question: How are Chad_Smith and Thibodaux,_Louisiana related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Chad_Smith", "Thibodaux,_Louisiana" ], "valid_edges": [ [ "Chad_Smith", "wasBornIn", "Saint_Paul,_Minnesota" ], [ "Kent_Courtney", "livesIn", "Louisiana" ], [ "Kent_Courtney", "wasBornIn", "Saint_Paul,_Minnesota" ], [ "Thibodaux,_Louisiana", "isLocatedIn", "Louisiana" ] ], "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 7031, Adrian_Scarlatache 71884, Albert_Streit 34331, Alexandru_Bălțoi 67225, Alexandru_Macedonski 99528, Alexandru_Pițurcă 68169, Alin_Rațiu 99860, Alin_Stoica 46171, Andrei_Daniel_Marinescu 70509, Andrei_Georgescu 26548, Anghel_Iordănescu 5053, Anthony_Mackie 114051, Anton_Pann 2426, Augustin_Deac 82715, Augustin_Deleanu 71326, Bogdan_Nicolae 80596, Bogdan_Oprea 24322, Bogdan_Stelea 79829, Bucharest 96713, Ciprian_Marica 88232, Ciprian_Petre 9839, Ciprian_Tătărușanu 194, Constantin_Gâlcă 56502, Cornel_Predescu 83674, Corneliu_Robe 79296, Cosmin_Olăroiu 86192, Costică_Ștefănescu 30905, Costin_Lazăr 28443, Cristian_Dănălache 47999, Cristian_Săpunaru 65998, Călin_Popescu-Tăriceanu 22807, Cătălin_Munteanu 101486, Cătălin_Necula 29052, Cătălin_Răcănel 99193, Dan_Coe 23220, Dan_Petrescu 108155, Daniel_Niculae 28400, David_Hemmings 14400, Dennis_Șerban 41299, Dudu_Georgescu 35893, Dumitru_Dumitriu 18202, Dumitru_Mitu 58978, Dumitru_Moraru 73851, Eduard_Iordănescu 48848, Eduard_Stăncioiu 121834, Edward_G._Robinson 43954, Emerich_Vogl 42556, Felix_Aderca 50315, Florea_Dumitrache 16359, Florentin_Petre 83917, Florin_Bratu 78001, Florin_Halagian 29838, Florin_Marin 33028, Florin_Matache 56006, Florin_Prunea 20121, Florin_Răducioiu 101501, Florin_Tene 353, Gabriel_Cânu 83015, George_Bacovia 66053, George_Călinescu 42439, George_Galamaz 68273, George_Ogăraru 21502, Gheorghe_Bucur 101632, Gheorghe_Constantin 96883, Gheorghe_Popescu_I 13461, Gheorghe_Tătaru 7786, Giani_Kiriţă 97253, Gigel_Coman 30568, Hristu_Chiacu 11179, Ibrahim_Dossey 12939, Ilie_Dumitrescu 53331, Ilie_Iordache 49694, Ilie_Savu 18823, Independent_(politician) 119011, Ioan_Lupescu 54855, Ioannis_Matzourakis 122848, Ion_Heliade_Rădulescu 112471, Ion_Minulescu 79261, Ion_Pârcălab 104482, Ionel_Augustin 100170, Ionuţ_Mazilu 50165, Ionuț_Bălan 6195, Iuliu_Barátky 68083, John_Houseman 81837, Kwame_Nkrumah 115015, Lucian_Bălan 100323, Lucian_Marinescu 46271, Marcel_Răducanu 105529, Marian_Aliuță 57115, Marian_Constantinescu 101665, Marian_Cozma 42603, Marian_Rada 53797, Marius_Alexe 108716, Marius_Mitu 30456, Marius_Nae 17643, Marius_Niculae 52772, Marius_Pena 2373, Mateiu_Caragiale 23689, Michael_Cretu 92005, Mihai_Eminescu 50257, Mihai_Stoichiță 115526, Mihail_Sebastian 39620, Mircea_Bornescu 108048, Mircea_Cărtărescu 122458, Mircea_Eliade 70682, Mircea_Geoană 5566, Mircea_Ilie 56992, Mircea_Lucescu 38980, Mircea_Sandu 44167, Miron_Nicolescu 73078, Nana_Falemi 104607, Nicolae_Lupescu 112932, Nicolae_Mitea 102191, Nicolae_Mușat 37422, Octavian_Chihaia 65043, Ovidiu_Herea 79700, Ovidiu_Petre 86680, Patriarch_Daniel_of_Romania 115852, Paul_Georgescu 113046, Perpessicius 73744, Petre_Marin 39485, Petre_Roman 102934, Radu_Nunweiller 92197, Răzvan_Lucescu 9540, Răzvan_Stanca 75964, Sergiu_Nicolaescu 896, Titu_Maiorescu 74144, Titus_Ozon 29962, Tudor_Arghezi 2053, Urmuz 507, Valentin_Simion 103923, Valentin_Stănescu 21920, Viorel_Mateianu 37912, Vladimir_Colin 121089, Vladimir_Cosma 118104, male 69164, Șerban_Moraru 89705, Ștefan_Sameș src, edge_attr, dst 7031, hasGender, 118104 7031, wasBornIn, 79829 71884, hasGender, 118104 71884, wasBornIn, 79829 34331, hasGender, 118104 34331, wasBornIn, 79829 67225, diedIn, 79829 67225, hasGender, 118104 67225, wasBornIn, 79829 99528, hasGender, 118104 99528, wasBornIn, 79829 68169, hasGender, 118104 68169, wasBornIn, 79829 99860, hasGender, 118104 99860, wasBornIn, 79829 46171, hasGender, 118104 46171, wasBornIn, 79829 70509, hasGender, 118104 70509, wasBornIn, 79829 26548, hasGender, 118104 26548, wasBornIn, 79829 5053, hasGender, 118104 114051, diedIn, 79829 114051, hasGender, 118104 2426, diedIn, 79829 2426, hasGender, 118104 82715, diedIn, 79829 82715, hasGender, 118104 71326, hasGender, 118104 71326, wasBornIn, 79829 80596, hasGender, 118104 80596, wasBornIn, 79829 24322, hasGender, 118104 24322, wasBornIn, 79829 96713, hasGender, 118104 96713, wasBornIn, 79829 88232, hasGender, 118104 88232, wasBornIn, 79829 9839, hasGender, 118104 9839, wasBornIn, 79829 194, hasGender, 118104 194, wasBornIn, 79829 56502, hasGender, 118104 56502, wasBornIn, 79829 83674, diedIn, 79829 83674, hasGender, 118104 83674, wasBornIn, 79829 79296, hasGender, 118104 79296, wasBornIn, 79829 86192, hasGender, 118104 86192, wasBornIn, 79829 30905, hasGender, 118104 30905, wasBornIn, 79829 28443, hasGender, 118104 28443, wasBornIn, 79829 47999, hasGender, 118104 47999, wasBornIn, 79829 65998, hasGender, 118104 65998, wasBornIn, 79829 22807, hasGender, 118104 22807, wasBornIn, 79829 101486, hasGender, 118104 101486, wasBornIn, 79829 29052, hasGender, 118104 29052, wasBornIn, 79829 99193, hasGender, 118104 99193, wasBornIn, 79829 23220, hasGender, 118104 23220, wasBornIn, 79829 108155, hasGender, 118104 108155, wasBornIn, 79829 28400, diedIn, 79829 28400, hasGender, 118104 14400, hasGender, 118104 14400, wasBornIn, 79829 41299, hasGender, 118104 41299, wasBornIn, 79829 35893, hasGender, 118104 35893, wasBornIn, 79829 18202, hasGender, 118104 18202, wasBornIn, 79829 58978, hasGender, 118104 58978, wasBornIn, 79829 73851, hasGender, 118104 73851, wasBornIn, 79829 48848, hasGender, 118104 48848, wasBornIn, 79829 121834, hasGender, 118104 121834, wasBornIn, 79829 43954, diedIn, 79829 43954, hasGender, 118104 42556, diedIn, 79829 42556, hasGender, 118104 50315, diedIn, 79829 50315, hasGender, 118104 50315, wasBornIn, 79829 16359, hasGender, 118104 16359, wasBornIn, 79829 83917, hasGender, 118104 83917, wasBornIn, 79829 78001, hasGender, 118104 78001, wasBornIn, 79829 29838, hasGender, 118104 29838, wasBornIn, 79829 33028, hasGender, 118104 33028, wasBornIn, 79829 56006, hasGender, 118104 56006, wasBornIn, 79829 20121, hasGender, 118104 20121, wasBornIn, 79829 101501, hasGender, 118104 101501, wasBornIn, 79829 353, hasGender, 118104 353, wasBornIn, 79829 83015, diedIn, 79829 83015, hasGender, 118104 66053, hasGender, 118104 66053, wasBornIn, 79829 42439, hasGender, 118104 42439, wasBornIn, 79829 68273, hasGender, 118104 68273, wasBornIn, 79829 21502, hasGender, 118104 21502, wasBornIn, 79829 101632, diedIn, 79829 101632, hasGender, 118104 101632, wasBornIn, 79829 96883, hasGender, 118104 96883, wasBornIn, 79829 13461, hasGender, 118104 13461, wasBornIn, 79829 7786, hasGender, 118104 7786, wasBornIn, 79829 97253, hasGender, 118104 97253, wasBornIn, 79829 30568, hasGender, 118104 30568, wasBornIn, 79829 11179, diedIn, 79829 11179, hasGender, 118104 12939, hasGender, 118104 12939, wasBornIn, 79829 53331, hasGender, 118104 53331, wasBornIn, 79829 49694, diedIn, 79829 49694, hasGender, 118104 18823, hasGender, 118104 18823, isLeaderOf, 79829 119011, hasGender, 118104 119011, wasBornIn, 79829 54855, hasGender, 118104 54855, wasBornIn, 79829 122848, diedIn, 79829 122848, hasGender, 118104 112471, diedIn, 79829 112471, hasGender, 118104 112471, wasBornIn, 79829 79261, hasGender, 118104 79261, wasBornIn, 79829 104482, hasGender, 118104 104482, wasBornIn, 79829 100170, hasGender, 118104 100170, wasBornIn, 79829 50165, hasGender, 118104 50165, wasBornIn, 79829 6195, diedIn, 79829 6195, hasGender, 118104 68083, hasGender, 118104 68083, wasBornIn, 79829 81837, diedIn, 79829 81837, hasGender, 118104 115015, hasGender, 118104 115015, wasBornIn, 79829 100323, hasGender, 118104 100323, wasBornIn, 79829 46271, hasGender, 118104 46271, wasBornIn, 79829 105529, hasGender, 118104 105529, wasBornIn, 79829 57115, hasGender, 118104 57115, wasBornIn, 79829 101665, hasGender, 118104 101665, wasBornIn, 79829 42603, hasGender, 118104 42603, wasBornIn, 79829 53797, hasGender, 118104 53797, wasBornIn, 79829 108716, hasGender, 118104 108716, wasBornIn, 79829 30456, wasBornIn, 79829 17643, hasGender, 118104 17643, wasBornIn, 79829 52772, hasGender, 118104 52772, wasBornIn, 79829 2373, diedIn, 79829 2373, hasGender, 118104 2373, wasBornIn, 79829 23689, hasGender, 118104 23689, wasBornIn, 79829 92005, diedIn, 79829 92005, hasGender, 118104 50257, hasGender, 118104 50257, wasBornIn, 79829 115526, diedIn, 79829 115526, hasGender, 118104 39620, hasGender, 118104 39620, wasBornIn, 79829 108048, hasGender, 118104 108048, wasBornIn, 79829 122458, hasGender, 118104 122458, wasBornIn, 79829 70682, hasGender, 118104 70682, wasBornIn, 79829 5566, hasGender, 118104 5566, wasBornIn, 79829 56992, hasGender, 118104 56992, wasBornIn, 79829 38980, hasGender, 118104 38980, wasBornIn, 79829 44167, diedIn, 79829 44167, hasGender, 118104 73078, hasGender, 118104 73078, wasBornIn, 79829 104607, hasGender, 118104 104607, wasBornIn, 79829 112932, hasGender, 118104 112932, wasBornIn, 79829 102191, hasGender, 118104 102191, wasBornIn, 79829 37422, hasGender, 118104 37422, wasBornIn, 79829 65043, hasGender, 118104 65043, wasBornIn, 79829 79700, hasGender, 118104 79700, wasBornIn, 79829 86680, hasGender, 118104 86680, livesIn, 79829 115852, diedIn, 79829 115852, hasGender, 118104 113046, diedIn, 79829 113046, hasGender, 118104 73744, hasGender, 118104 73744, wasBornIn, 79829 39485, hasGender, 118104 39485, wasBornIn, 79829 102934, hasGender, 118104 102934, wasBornIn, 79829 92197, hasGender, 118104 92197, wasBornIn, 79829 9540, hasGender, 118104 9540, wasBornIn, 79829 75964, diedIn, 79829 75964, hasGender, 118104 896, diedIn, 79829 896, hasGender, 118104 74144, hasGender, 118104 74144, wasBornIn, 79829 29962, diedIn, 79829 29962, hasGender, 118104 29962, wasBornIn, 79829 2053, diedIn, 79829 2053, hasGender, 118104 507, hasGender, 118104 507, wasBornIn, 79829 103923, hasGender, 118104 103923, wasBornIn, 79829 21920, diedIn, 79829 21920, hasGender, 118104 37912, hasGender, 118104 37912, wasBornIn, 79829 121089, hasGender, 118104 121089, wasBornIn, 79829 69164, hasGender, 118104 69164, wasBornIn, 79829 89705, diedIn, 79829 89705, hasGender, 118104 Question: How are Anthony_Mackie and Marius_Nae related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Anthony_Mackie", "Marius_Nae" ], "valid_edges": [ [ "Adrian_Scarlatache", "hasGender", "male" ], [ "Adrian_Scarlatache", "wasBornIn", "Bucharest" ], [ "Albert_Streit", "hasGender", "male" ], [ "Albert_Streit", "wasBornIn", "Bucharest" ], [ "Alexandru_Bălțoi", "hasGender", "male" ], [ "Alexandru_Bălțoi", "wasBornIn", "Bucharest" ], [ "Alexandru_Macedonski", "diedIn", "Bucharest" ], [ "Alexandru_Macedonski", "hasGender", "male" ], [ "Alexandru_Macedonski", "wasBornIn", "Bucharest" ], [ "Alexandru_Pițurcă", "hasGender", "male" ], [ "Alexandru_Pițurcă", "wasBornIn", "Bucharest" ], [ "Alin_Rațiu", "hasGender", "male" ], [ "Alin_Rațiu", "wasBornIn", "Bucharest" ], [ "Alin_Stoica", "hasGender", "male" ], [ "Alin_Stoica", "wasBornIn", "Bucharest" ], [ "Andrei_Daniel_Marinescu", "hasGender", "male" ], [ "Andrei_Daniel_Marinescu", "wasBornIn", "Bucharest" ], [ "Andrei_Georgescu", "hasGender", "male" ], [ "Andrei_Georgescu", "wasBornIn", "Bucharest" ], [ "Anghel_Iordănescu", "hasGender", "male" ], [ "Anghel_Iordănescu", "wasBornIn", "Bucharest" ], [ "Anthony_Mackie", "hasGender", "male" ], [ "Anton_Pann", "diedIn", "Bucharest" ], [ "Anton_Pann", "hasGender", "male" ], [ "Augustin_Deac", "diedIn", "Bucharest" ], [ "Augustin_Deac", "hasGender", "male" ], [ "Augustin_Deleanu", "diedIn", "Bucharest" ], [ "Augustin_Deleanu", "hasGender", "male" ], [ "Bogdan_Nicolae", "hasGender", "male" ], [ "Bogdan_Nicolae", "wasBornIn", "Bucharest" ], [ "Bogdan_Oprea", "hasGender", "male" ], [ "Bogdan_Oprea", "wasBornIn", "Bucharest" ], [ "Bogdan_Stelea", "hasGender", "male" ], [ "Bogdan_Stelea", "wasBornIn", "Bucharest" ], [ "Ciprian_Marica", "hasGender", "male" ], [ "Ciprian_Marica", "wasBornIn", "Bucharest" ], [ "Ciprian_Petre", "hasGender", "male" ], [ "Ciprian_Petre", "wasBornIn", "Bucharest" ], [ "Ciprian_Tătărușanu", "hasGender", "male" ], [ "Ciprian_Tătărușanu", "wasBornIn", "Bucharest" ], [ "Constantin_Gâlcă", "hasGender", "male" ], [ "Constantin_Gâlcă", "wasBornIn", "Bucharest" ], [ "Cornel_Predescu", "hasGender", "male" ], [ "Cornel_Predescu", "wasBornIn", "Bucharest" ], [ "Corneliu_Robe", "diedIn", "Bucharest" ], [ "Corneliu_Robe", "hasGender", "male" ], [ "Corneliu_Robe", "wasBornIn", "Bucharest" ], [ "Cosmin_Olăroiu", "hasGender", "male" ], [ "Cosmin_Olăroiu", "wasBornIn", "Bucharest" ], [ "Costică_Ștefănescu", "hasGender", "male" ], [ "Costică_Ștefănescu", "wasBornIn", "Bucharest" ], [ "Costin_Lazăr", "hasGender", "male" ], [ "Costin_Lazăr", "wasBornIn", "Bucharest" ], [ "Cristian_Dănălache", "hasGender", "male" ], [ "Cristian_Dănălache", "wasBornIn", "Bucharest" ], [ "Cristian_Săpunaru", "hasGender", "male" ], [ "Cristian_Săpunaru", "wasBornIn", "Bucharest" ], [ "Călin_Popescu-Tăriceanu", "hasGender", "male" ], [ "Călin_Popescu-Tăriceanu", "wasBornIn", "Bucharest" ], [ "Cătălin_Munteanu", "hasGender", "male" ], [ "Cătălin_Munteanu", "wasBornIn", "Bucharest" ], [ "Cătălin_Necula", "hasGender", "male" ], [ "Cătălin_Necula", "wasBornIn", "Bucharest" ], [ "Cătălin_Răcănel", "hasGender", "male" ], [ "Cătălin_Răcănel", "wasBornIn", "Bucharest" ], [ "Dan_Coe", "hasGender", "male" ], [ "Dan_Coe", "wasBornIn", "Bucharest" ], [ "Dan_Petrescu", "hasGender", "male" ], [ "Dan_Petrescu", "wasBornIn", "Bucharest" ], [ "Daniel_Niculae", "hasGender", "male" ], [ "Daniel_Niculae", "wasBornIn", "Bucharest" ], [ "David_Hemmings", "diedIn", "Bucharest" ], [ "David_Hemmings", "hasGender", "male" ], [ "Dennis_Șerban", "hasGender", "male" ], [ "Dennis_Șerban", "wasBornIn", "Bucharest" ], [ "Dudu_Georgescu", "hasGender", "male" ], [ "Dudu_Georgescu", "wasBornIn", "Bucharest" ], [ "Dumitru_Dumitriu", "hasGender", "male" ], [ "Dumitru_Dumitriu", "wasBornIn", "Bucharest" ], [ "Dumitru_Mitu", "hasGender", "male" ], [ "Dumitru_Mitu", "wasBornIn", "Bucharest" ], [ "Dumitru_Moraru", "hasGender", "male" ], [ "Dumitru_Moraru", "wasBornIn", "Bucharest" ], [ "Eduard_Iordănescu", "hasGender", "male" ], [ "Eduard_Iordănescu", "wasBornIn", "Bucharest" ], [ "Eduard_Stăncioiu", "hasGender", "male" ], [ "Eduard_Stăncioiu", "wasBornIn", "Bucharest" ], [ "Edward_G._Robinson", "hasGender", "male" ], [ "Edward_G._Robinson", "wasBornIn", "Bucharest" ], [ "Emerich_Vogl", "diedIn", "Bucharest" ], [ "Emerich_Vogl", "hasGender", "male" ], [ "Felix_Aderca", "diedIn", "Bucharest" ], [ "Felix_Aderca", "hasGender", "male" ], [ "Florea_Dumitrache", "diedIn", "Bucharest" ], [ "Florea_Dumitrache", "hasGender", "male" ], [ "Florea_Dumitrache", "wasBornIn", "Bucharest" ], [ "Florentin_Petre", "hasGender", "male" ], [ "Florentin_Petre", "wasBornIn", "Bucharest" ], [ "Florin_Bratu", "hasGender", "male" ], [ "Florin_Bratu", "wasBornIn", "Bucharest" ], [ "Florin_Halagian", "hasGender", "male" ], [ "Florin_Halagian", "wasBornIn", "Bucharest" ], [ "Florin_Marin", "hasGender", "male" ], [ "Florin_Marin", "wasBornIn", "Bucharest" ], [ "Florin_Matache", "hasGender", "male" ], [ "Florin_Matache", "wasBornIn", "Bucharest" ], [ "Florin_Prunea", "hasGender", "male" ], [ "Florin_Prunea", "wasBornIn", "Bucharest" ], [ "Florin_Răducioiu", "hasGender", "male" ], [ "Florin_Răducioiu", "wasBornIn", "Bucharest" ], [ "Florin_Tene", "hasGender", "male" ], [ "Florin_Tene", "wasBornIn", "Bucharest" ], [ "Gabriel_Cânu", "hasGender", "male" ], [ "Gabriel_Cânu", "wasBornIn", "Bucharest" ], [ "George_Bacovia", "diedIn", "Bucharest" ], [ "George_Bacovia", "hasGender", "male" ], [ "George_Călinescu", "hasGender", "male" ], [ "George_Călinescu", "wasBornIn", "Bucharest" ], [ "George_Galamaz", "hasGender", "male" ], [ "George_Galamaz", "wasBornIn", "Bucharest" ], [ "George_Ogăraru", "hasGender", "male" ], [ "George_Ogăraru", "wasBornIn", "Bucharest" ], [ "Gheorghe_Bucur", "hasGender", "male" ], [ "Gheorghe_Bucur", "wasBornIn", "Bucharest" ], [ "Gheorghe_Constantin", "diedIn", "Bucharest" ], [ "Gheorghe_Constantin", "hasGender", "male" ], [ "Gheorghe_Constantin", "wasBornIn", "Bucharest" ], [ "Gheorghe_Popescu_I", "hasGender", "male" ], [ "Gheorghe_Popescu_I", "wasBornIn", "Bucharest" ], [ "Gheorghe_Tătaru", "hasGender", "male" ], [ "Gheorghe_Tătaru", "wasBornIn", "Bucharest" ], [ "Giani_Kiriţă", "hasGender", "male" ], [ "Giani_Kiriţă", "wasBornIn", "Bucharest" ], [ "Gigel_Coman", "hasGender", "male" ], [ "Gigel_Coman", "wasBornIn", "Bucharest" ], [ "Hristu_Chiacu", "hasGender", "male" ], [ "Hristu_Chiacu", "wasBornIn", "Bucharest" ], [ "Ibrahim_Dossey", "diedIn", "Bucharest" ], [ "Ibrahim_Dossey", "hasGender", "male" ], [ "Ilie_Dumitrescu", "hasGender", "male" ], [ "Ilie_Dumitrescu", "wasBornIn", "Bucharest" ], [ "Ilie_Iordache", "hasGender", "male" ], [ "Ilie_Iordache", "wasBornIn", "Bucharest" ], [ "Ilie_Savu", "diedIn", "Bucharest" ], [ "Ilie_Savu", "hasGender", "male" ], [ "Independent_(politician)", "hasGender", "male" ], [ "Independent_(politician)", "isLeaderOf", "Bucharest" ], [ "Ioan_Lupescu", "hasGender", "male" ], [ "Ioan_Lupescu", "wasBornIn", "Bucharest" ], [ "Ioannis_Matzourakis", "hasGender", "male" ], [ "Ioannis_Matzourakis", "wasBornIn", "Bucharest" ], [ "Ion_Heliade_Rădulescu", "diedIn", "Bucharest" ], [ "Ion_Heliade_Rădulescu", "hasGender", "male" ], [ "Ion_Minulescu", "diedIn", "Bucharest" ], [ "Ion_Minulescu", "hasGender", "male" ], [ "Ion_Minulescu", "wasBornIn", "Bucharest" ], [ "Ion_Pârcălab", "hasGender", "male" ], [ "Ion_Pârcălab", "wasBornIn", "Bucharest" ], [ "Ionel_Augustin", "hasGender", "male" ], [ "Ionel_Augustin", "wasBornIn", "Bucharest" ], [ "Ionuţ_Mazilu", "hasGender", "male" ], [ "Ionuţ_Mazilu", "wasBornIn", "Bucharest" ], [ "Ionuț_Bălan", "hasGender", "male" ], [ "Ionuț_Bălan", "wasBornIn", "Bucharest" ], [ "Iuliu_Barátky", "diedIn", "Bucharest" ], [ "Iuliu_Barátky", "hasGender", "male" ], [ "John_Houseman", "hasGender", "male" ], [ "John_Houseman", "wasBornIn", "Bucharest" ], [ "Kwame_Nkrumah", "diedIn", "Bucharest" ], [ "Kwame_Nkrumah", "hasGender", "male" ], [ "Lucian_Bălan", "hasGender", "male" ], [ "Lucian_Bălan", "wasBornIn", "Bucharest" ], [ "Lucian_Marinescu", "hasGender", "male" ], [ "Lucian_Marinescu", "wasBornIn", "Bucharest" ], [ "Marcel_Răducanu", "hasGender", "male" ], [ "Marcel_Răducanu", "wasBornIn", "Bucharest" ], [ "Marian_Aliuță", "hasGender", "male" ], [ "Marian_Aliuță", "wasBornIn", "Bucharest" ], [ "Marian_Constantinescu", "hasGender", "male" ], [ "Marian_Constantinescu", "wasBornIn", "Bucharest" ], [ "Marian_Cozma", "hasGender", "male" ], [ "Marian_Cozma", "wasBornIn", "Bucharest" ], [ "Marian_Rada", "hasGender", "male" ], [ "Marian_Rada", "wasBornIn", "Bucharest" ], [ "Marius_Alexe", "hasGender", "male" ], [ "Marius_Alexe", "wasBornIn", "Bucharest" ], [ "Marius_Mitu", "hasGender", "male" ], [ "Marius_Mitu", "wasBornIn", "Bucharest" ], [ "Marius_Nae", "wasBornIn", "Bucharest" ], [ "Marius_Niculae", "hasGender", "male" ], [ "Marius_Niculae", "wasBornIn", "Bucharest" ], [ "Marius_Pena", "hasGender", "male" ], [ "Marius_Pena", "wasBornIn", "Bucharest" ], [ "Mateiu_Caragiale", "diedIn", "Bucharest" ], [ "Mateiu_Caragiale", "hasGender", "male" ], [ "Mateiu_Caragiale", "wasBornIn", "Bucharest" ], [ "Michael_Cretu", "hasGender", "male" ], [ "Michael_Cretu", "wasBornIn", "Bucharest" ], [ "Mihai_Eminescu", "diedIn", "Bucharest" ], [ "Mihai_Eminescu", "hasGender", "male" ], [ "Mihai_Stoichiță", "hasGender", "male" ], [ "Mihai_Stoichiță", "wasBornIn", "Bucharest" ], [ "Mihail_Sebastian", "diedIn", "Bucharest" ], [ "Mihail_Sebastian", "hasGender", "male" ], [ "Mircea_Bornescu", "hasGender", "male" ], [ "Mircea_Bornescu", "wasBornIn", "Bucharest" ], [ "Mircea_Cărtărescu", "hasGender", "male" ], [ "Mircea_Cărtărescu", "wasBornIn", "Bucharest" ], [ "Mircea_Eliade", "hasGender", "male" ], [ "Mircea_Eliade", "wasBornIn", "Bucharest" ], [ "Mircea_Geoană", "hasGender", "male" ], [ "Mircea_Geoană", "wasBornIn", "Bucharest" ], [ "Mircea_Ilie", "hasGender", "male" ], [ "Mircea_Ilie", "wasBornIn", "Bucharest" ], [ "Mircea_Lucescu", "hasGender", "male" ], [ "Mircea_Lucescu", "wasBornIn", "Bucharest" ], [ "Mircea_Sandu", "hasGender", "male" ], [ "Mircea_Sandu", "wasBornIn", "Bucharest" ], [ "Miron_Nicolescu", "diedIn", "Bucharest" ], [ "Miron_Nicolescu", "hasGender", "male" ], [ "Nana_Falemi", "hasGender", "male" ], [ "Nana_Falemi", "wasBornIn", "Bucharest" ], [ "Nicolae_Lupescu", "hasGender", "male" ], [ "Nicolae_Lupescu", "wasBornIn", "Bucharest" ], [ "Nicolae_Mitea", "hasGender", "male" ], [ "Nicolae_Mitea", "wasBornIn", "Bucharest" ], [ "Nicolae_Mușat", "hasGender", "male" ], [ "Nicolae_Mușat", "wasBornIn", "Bucharest" ], [ "Octavian_Chihaia", "hasGender", "male" ], [ "Octavian_Chihaia", "wasBornIn", "Bucharest" ], [ "Ovidiu_Herea", "hasGender", "male" ], [ "Ovidiu_Herea", "wasBornIn", "Bucharest" ], [ "Ovidiu_Petre", "hasGender", "male" ], [ "Ovidiu_Petre", "wasBornIn", "Bucharest" ], [ "Patriarch_Daniel_of_Romania", "hasGender", "male" ], [ "Patriarch_Daniel_of_Romania", "livesIn", "Bucharest" ], [ "Paul_Georgescu", "diedIn", "Bucharest" ], [ "Paul_Georgescu", "hasGender", "male" ], [ "Perpessicius", "diedIn", "Bucharest" ], [ "Perpessicius", "hasGender", "male" ], [ "Petre_Marin", "hasGender", "male" ], [ "Petre_Marin", "wasBornIn", "Bucharest" ], [ "Petre_Roman", "hasGender", "male" ], [ "Petre_Roman", "wasBornIn", "Bucharest" ], [ "Radu_Nunweiller", "hasGender", "male" ], [ "Radu_Nunweiller", "wasBornIn", "Bucharest" ], [ "Răzvan_Lucescu", "hasGender", "male" ], [ "Răzvan_Lucescu", "wasBornIn", "Bucharest" ], [ "Răzvan_Stanca", "hasGender", "male" ], [ "Răzvan_Stanca", "wasBornIn", "Bucharest" ], [ "Sergiu_Nicolaescu", "diedIn", "Bucharest" ], [ "Sergiu_Nicolaescu", "hasGender", "male" ], [ "Titu_Maiorescu", "diedIn", "Bucharest" ], [ "Titu_Maiorescu", "hasGender", "male" ], [ "Titus_Ozon", "hasGender", "male" ], [ "Titus_Ozon", "wasBornIn", "Bucharest" ], [ "Tudor_Arghezi", "diedIn", "Bucharest" ], [ "Tudor_Arghezi", "hasGender", "male" ], [ "Tudor_Arghezi", "wasBornIn", "Bucharest" ], [ "Urmuz", "diedIn", "Bucharest" ], [ "Urmuz", "hasGender", "male" ], [ "Valentin_Simion", "hasGender", "male" ], [ "Valentin_Simion", "wasBornIn", "Bucharest" ], [ "Valentin_Stănescu", "hasGender", "male" ], [ "Valentin_Stănescu", "wasBornIn", "Bucharest" ], [ "Viorel_Mateianu", "diedIn", "Bucharest" ], [ "Viorel_Mateianu", "hasGender", "male" ], [ "Vladimir_Colin", "hasGender", "male" ], [ "Vladimir_Colin", "wasBornIn", "Bucharest" ], [ "Vladimir_Cosma", "hasGender", "male" ], [ "Vladimir_Cosma", "wasBornIn", "Bucharest" ], [ "Șerban_Moraru", "hasGender", "male" ], [ "Șerban_Moraru", "wasBornIn", "Bucharest" ], [ "Ștefan_Sameș", "diedIn", "Bucharest" ], [ "Ștefan_Sameș", "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 106849, Ai_Yazawa 32841, Chugoku 4068, Crystal_Kay 120373, Gayatri_Chakravorty_Spivak 18827, Hiroshima 76792, Japan 87860, Katō_Tomosaburō 62353, Kumi_Tanioka 7075, Makiko_Tanaka 86033, Mazda 75197, Mew_Azama 85089, San'yō_region 63491, Yuki_Saito_(actress) 87807, Yuriko_Koike 80384, female src, edge_attr, dst 106849, hasGender, 80384 106849, isCitizenOf, 76792 32841, isLocatedIn, 76792 4068, hasGender, 80384 4068, isCitizenOf, 76792 120373, hasGender, 80384 18827, isLocatedIn, 32841 18827, isLocatedIn, 76792 18827, isLocatedIn, 85089 87860, isPoliticianOf, 76792 87860, wasBornIn, 18827 62353, hasGender, 80384 62353, wasBornIn, 18827 7075, hasGender, 80384 7075, isPoliticianOf, 76792 86033, isLocatedIn, 18827 86033, isLocatedIn, 76792 75197, hasGender, 80384 75197, wasBornIn, 18827 85089, isLocatedIn, 76792 63491, hasGender, 80384 63491, isCitizenOf, 76792 87807, hasGender, 80384 87807, isPoliticianOf, 76792 Question: How are Gayatri_Chakravorty_Spivak and Mazda related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gayatri_Chakravorty_Spivak", "Mazda" ], "valid_edges": [ [ "Ai_Yazawa", "hasGender", "female" ], [ "Ai_Yazawa", "isCitizenOf", "Japan" ], [ "Chugoku", "isLocatedIn", "Japan" ], [ "Crystal_Kay", "hasGender", "female" ], [ "Crystal_Kay", "isCitizenOf", "Japan" ], [ "Gayatri_Chakravorty_Spivak", "hasGender", "female" ], [ "Hiroshima", "isLocatedIn", "Chugoku" ], [ "Hiroshima", "isLocatedIn", "Japan" ], [ "Hiroshima", "isLocatedIn", "San'yō_region" ], [ "Katō_Tomosaburō", "isPoliticianOf", "Japan" ], [ "Katō_Tomosaburō", "wasBornIn", "Hiroshima" ], [ "Kumi_Tanioka", "hasGender", "female" ], [ "Kumi_Tanioka", "wasBornIn", "Hiroshima" ], [ "Makiko_Tanaka", "hasGender", "female" ], [ "Makiko_Tanaka", "isPoliticianOf", "Japan" ], [ "Mazda", "isLocatedIn", "Hiroshima" ], [ "Mazda", "isLocatedIn", "Japan" ], [ "Mew_Azama", "hasGender", "female" ], [ "Mew_Azama", "wasBornIn", "Hiroshima" ], [ "San'yō_region", "isLocatedIn", "Japan" ], [ "Yuki_Saito_(actress)", "hasGender", "female" ], [ "Yuki_Saito_(actress)", "isCitizenOf", "Japan" ], [ "Yuriko_Koike", "hasGender", "female" ], [ "Yuriko_Koike", "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 95802, Australia 6258, Harley_Earl 84137, Krešimir_Marušić 19773, Melbourne_Knights_FC 29157, United_States src, edge_attr, dst 95802, dealsWith, 29157 6258, isCitizenOf, 29157 84137, isAffiliatedTo, 19773 84137, playsFor, 19773 19773, isLocatedIn, 95802 Question: For what reason are Harley_Earl and Krešimir_Marušić associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Harley_Earl", "Krešimir_Marušić" ], "valid_edges": [ [ "Australia", "dealsWith", "United_States" ], [ "Harley_Earl", "isCitizenOf", "United_States" ], [ "Krešimir_Marušić", "isAffiliatedTo", "Melbourne_Knights_FC" ], [ "Krešimir_Marušić", "playsFor", "Melbourne_Knights_FC" ], [ "Melbourne_Knights_FC", "isLocatedIn", "Australia" ] ], "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 116988, Cherchell 11418, Cleopatra_Selene_II 90796, Joan_Beaufort,_Countess_of_Westmorland 37670, Tipasa_Province 80384, female src, edge_attr, dst 116988, isLocatedIn, 37670 11418, diedIn, 116988 11418, hasGender, 80384 90796, hasGender, 80384 Question: How are Joan_Beaufort,_Countess_of_Westmorland and Tipasa_Province related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Joan_Beaufort,_Countess_of_Westmorland", "Tipasa_Province" ], "valid_edges": [ [ "Cherchell", "isLocatedIn", "Tipasa_Province" ], [ "Cleopatra_Selene_II", "diedIn", "Cherchell" ], [ "Cleopatra_Selene_II", "hasGender", "female" ], [ "Joan_Beaufort,_Countess_of_Westmorland", "hasGender", "female" ] ], "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 4174, Andy_Roach 78819, California 23783, D.A.R.Y.L. 53346, Danton_Cole 17319, ERC_Ingolstadt 70500, Grand_Rapids 97321, Grand_Rapids_Griffins 21027, Ian_Gordon_(ice_hockey) 105102, Jim_Dowd_(ice_hockey) 9135, Kip_Miller 61252, Lake_Superior_State_University 29736, Long_Beach 76850, Long_Beach_Ice_Dogs 51555, Michigan 109469, Nick_Naumenko 55666, Rob_Valicevic 122082, Róbert_Döme 103472, Salt_Lake_City 100301, Sault_Ste._Marie,_Michigan 95201, Sean_Gagnon 54972, Sean_Tallaire 29157, United_States 75806, Utah 97705, Utah_Grizzlies_(1995–2005) 25693, Viktors_Ignatjevs src, edge_attr, dst 4174, isAffiliatedTo, 76850 4174, isAffiliatedTo, 97705 78819, isLocatedIn, 29157 23783, isLocatedIn, 29157 53346, isAffiliatedTo, 97321 53346, isAffiliatedTo, 97705 70500, isLocatedIn, 29157 97321, isLocatedIn, 70500 97321, isLocatedIn, 51555 21027, isAffiliatedTo, 17319 21027, isAffiliatedTo, 97321 21027, isAffiliatedTo, 97705 105102, isAffiliatedTo, 61252 105102, isAffiliatedTo, 97705 9135, isAffiliatedTo, 97321 9135, isAffiliatedTo, 97705 61252, isLocatedIn, 100301 61252, isLocatedIn, 29157 29736, isLocatedIn, 29157 76850, isLocatedIn, 78819 76850, isLocatedIn, 29736 51555, isLocatedIn, 29157 109469, isAffiliatedTo, 97321 109469, isAffiliatedTo, 97705 55666, isAffiliatedTo, 17319 55666, isAffiliatedTo, 61252 55666, isAffiliatedTo, 97705 122082, isAffiliatedTo, 76850 122082, isAffiliatedTo, 97705 103472, isLocatedIn, 29157 100301, isLocatedIn, 29157 95201, isAffiliatedTo, 97321 95201, isAffiliatedTo, 97705 54972, isAffiliatedTo, 17319 54972, isAffiliatedTo, 97321 54972, isAffiliatedTo, 61252 54972, isAffiliatedTo, 76850 54972, isAffiliatedTo, 97705 75806, isLocatedIn, 29157 97705, isLocatedIn, 103472 97705, isLocatedIn, 75806 25693, isAffiliatedTo, 76850 25693, isAffiliatedTo, 97705 Question: How are D.A.R.Y.L. and Sean_Tallaire related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "D.A.R.Y.L.", "Sean_Tallaire" ], "valid_edges": [ [ "Andy_Roach", "isAffiliatedTo", "Long_Beach_Ice_Dogs" ], [ "Andy_Roach", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "California", "isLocatedIn", "United_States" ], [ "D.A.R.Y.L.", "isLocatedIn", "United_States" ], [ "Danton_Cole", "isAffiliatedTo", "Grand_Rapids_Griffins" ], [ "Danton_Cole", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Grand_Rapids", "isLocatedIn", "United_States" ], [ "Grand_Rapids_Griffins", "isLocatedIn", "Grand_Rapids" ], [ "Grand_Rapids_Griffins", "isLocatedIn", "Michigan" ], [ "Ian_Gordon_(ice_hockey)", "isAffiliatedTo", "ERC_Ingolstadt" ], [ "Ian_Gordon_(ice_hockey)", "isAffiliatedTo", "Grand_Rapids_Griffins" ], [ "Ian_Gordon_(ice_hockey)", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Jim_Dowd_(ice_hockey)", "isAffiliatedTo", "Lake_Superior_State_University" ], [ "Jim_Dowd_(ice_hockey)", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Kip_Miller", "isAffiliatedTo", "Grand_Rapids_Griffins" ], [ "Kip_Miller", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Lake_Superior_State_University", "isLocatedIn", "Sault_Ste._Marie,_Michigan" ], [ "Lake_Superior_State_University", "isLocatedIn", "United_States" ], [ "Long_Beach", "isLocatedIn", "United_States" ], [ "Long_Beach_Ice_Dogs", "isLocatedIn", "California" ], [ "Long_Beach_Ice_Dogs", "isLocatedIn", "Long_Beach" ], [ "Michigan", "isLocatedIn", "United_States" ], [ "Nick_Naumenko", "isAffiliatedTo", "Grand_Rapids_Griffins" ], [ "Nick_Naumenko", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Rob_Valicevic", "isAffiliatedTo", "ERC_Ingolstadt" ], [ "Rob_Valicevic", "isAffiliatedTo", "Lake_Superior_State_University" ], [ "Rob_Valicevic", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Róbert_Döme", "isAffiliatedTo", "Long_Beach_Ice_Dogs" ], [ "Róbert_Döme", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Salt_Lake_City", "isLocatedIn", "United_States" ], [ "Sault_Ste._Marie,_Michigan", "isLocatedIn", "United_States" ], [ "Sean_Gagnon", "isAffiliatedTo", "Grand_Rapids_Griffins" ], [ "Sean_Gagnon", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Sean_Tallaire", "isAffiliatedTo", "ERC_Ingolstadt" ], [ "Sean_Tallaire", "isAffiliatedTo", "Grand_Rapids_Griffins" ], [ "Sean_Tallaire", "isAffiliatedTo", "Lake_Superior_State_University" ], [ "Sean_Tallaire", "isAffiliatedTo", "Long_Beach_Ice_Dogs" ], [ "Sean_Tallaire", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ], [ "Utah", "isLocatedIn", "United_States" ], [ "Utah_Grizzlies_(1995–2005)", "isLocatedIn", "Salt_Lake_City" ], [ "Utah_Grizzlies_(1995–2005)", "isLocatedIn", "Utah" ], [ "Viktors_Ignatjevs", "isAffiliatedTo", "Long_Beach_Ice_Dogs" ], [ "Viktors_Ignatjevs", "isAffiliatedTo", "Utah_Grizzlies_(1995–2005)" ] ], "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 95802, Australia 38720, C._R._Rao 61995, Germany 22021, Guy_Medal 58753, Harald_Cramér 114482, New_Zealand 82862, Peter_Whittle 103694, Ronald_Fisher 6827, Sweden 94603, The_Devil's_Advocate_(1997_film) 105307, University_of_Cambridge src, edge_attr, dst 95802, dealsWith, 61995 38720, hasAcademicAdvisor, 103694 38720, hasWonPrize, 22021 58753, hasWonPrize, 22021 58753, isCitizenOf, 6827 58753, livesIn, 6827 114482, dealsWith, 61995 82862, hasWonPrize, 22021 82862, isCitizenOf, 114482 82862, worksAt, 105307 103694, graduatedFrom, 105307 103694, hasWonPrize, 22021 103694, livesIn, 95802 103694, worksAt, 105307 6827, dealsWith, 61995 94603, isLocatedIn, 61995 Question: How are Guy_Medal and The_Devil's_Advocate_(1997_film) related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Guy_Medal", "The_Devil's_Advocate_(1997_film)" ], "valid_edges": [ [ "Australia", "dealsWith", "Germany" ], [ "C._R._Rao", "hasAcademicAdvisor", "Ronald_Fisher" ], [ "C._R._Rao", "hasWonPrize", "Guy_Medal" ], [ "Harald_Cramér", "hasWonPrize", "Guy_Medal" ], [ "Harald_Cramér", "isCitizenOf", "Sweden" ], [ "Harald_Cramér", "livesIn", "Sweden" ], [ "New_Zealand", "dealsWith", "Germany" ], [ "Peter_Whittle", "hasWonPrize", "Guy_Medal" ], [ "Peter_Whittle", "isCitizenOf", "New_Zealand" ], [ "Peter_Whittle", "worksAt", "University_of_Cambridge" ], [ "Ronald_Fisher", "graduatedFrom", "University_of_Cambridge" ], [ "Ronald_Fisher", "hasWonPrize", "Guy_Medal" ], [ "Ronald_Fisher", "livesIn", "Australia" ], [ "Ronald_Fisher", "worksAt", "University_of_Cambridge" ], [ "Sweden", "dealsWith", "Germany" ], [ "The_Devil's_Advocate_(1997_film)", "isLocatedIn", "Germany" ] ], "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 18089, Antony's_Parthian_War 82010, Cappadocia 106006, Lists_of_World_Heritage_Sites_in_Europe 51776, Province_of_A_Coruña 64312, Santiago_de_Compostela src, edge_attr, dst 82010, isLocatedIn, 106006 82010, participatedIn, 18089 64312, isLocatedIn, 106006 64312, isLocatedIn, 51776 Question: How are Antony's_Parthian_War and Province_of_A_Coruña related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Antony's_Parthian_War", "Province_of_A_Coruña" ], "valid_edges": [ [ "Cappadocia", "isLocatedIn", "Lists_of_World_Heritage_Sites_in_Europe" ], [ "Cappadocia", "participatedIn", "Antony's_Parthian_War" ], [ "Santiago_de_Compostela", "isLocatedIn", "Lists_of_World_Heritage_Sites_in_Europe" ], [ "Santiago_de_Compostela", "isLocatedIn", "Province_of_A_Coruña" ] ], "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 82911, Battle_of_Eckmühl 60609, Battle_of_Hohenlinden 40016, Bavaria 88935, Erding 24048, Erding_(district) 42895, Georg_Ohm 50700, Moritz_Bleibtreu 100997, Munich 84786, Upper_Bavaria src, edge_attr, dst 82911, happenedIn, 40016 82911, happenedIn, 100997 60609, happenedIn, 40016 60609, happenedIn, 100997 40016, hasCapital, 100997 40016, isLocatedIn, 100997 88935, isLocatedIn, 40016 88935, isLocatedIn, 24048 88935, isLocatedIn, 84786 24048, isLocatedIn, 40016 24048, isLocatedIn, 88935 42895, diedIn, 100997 42895, livesIn, 40016 50700, wasBornIn, 100997 100997, isLocatedIn, 40016 84786, hasCapital, 100997 84786, isLocatedIn, 40016 84786, isLocatedIn, 100997 Question: How are Erding_(district) and Moritz_Bleibtreu related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Erding_(district)", "Moritz_Bleibtreu" ], "valid_edges": [ [ "Battle_of_Eckmühl", "happenedIn", "Bavaria" ], [ "Battle_of_Eckmühl", "happenedIn", "Munich" ], [ "Battle_of_Hohenlinden", "happenedIn", "Bavaria" ], [ "Battle_of_Hohenlinden", "happenedIn", "Munich" ], [ "Bavaria", "hasCapital", "Munich" ], [ "Bavaria", "isLocatedIn", "Munich" ], [ "Erding", "isLocatedIn", "Bavaria" ], [ "Erding", "isLocatedIn", "Erding_(district)" ], [ "Erding", "isLocatedIn", "Upper_Bavaria" ], [ "Erding_(district)", "isLocatedIn", "Bavaria" ], [ "Erding_(district)", "isLocatedIn", "Erding" ], [ "Georg_Ohm", "diedIn", "Munich" ], [ "Georg_Ohm", "livesIn", "Bavaria" ], [ "Moritz_Bleibtreu", "wasBornIn", "Munich" ], [ "Munich", "isLocatedIn", "Bavaria" ], [ "Upper_Bavaria", "hasCapital", "Munich" ], [ "Upper_Bavaria", "isLocatedIn", "Bavaria" ], [ "Upper_Bavaria", "isLocatedIn", "Munich" ] ], "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 7130, Dehaqan_County 68734, Iran 61525, Isfahan 21947, Isfahan_County 117037, Isfahan_International_Airport 117223, Isfahan_Province 95630, Jewel_(singer) 63186, Maryam_Mirzakhani 6035, Niki_Karimi 121284, Nusrat_Bhutto 95819, University_of_Isfahan 80384, female src, edge_attr, dst 7130, isLocatedIn, 68734 7130, isLocatedIn, 117223 61525, isLocatedIn, 68734 61525, isLocatedIn, 117223 21947, isLocatedIn, 68734 21947, isLocatedIn, 117223 117037, isLocatedIn, 68734 117037, isLocatedIn, 117223 117223, isLocatedIn, 68734 117223, isLocatedIn, 61525 95630, hasGender, 80384 63186, hasGender, 80384 63186, isCitizenOf, 68734 6035, hasGender, 80384 6035, isCitizenOf, 68734 121284, hasGender, 80384 121284, isCitizenOf, 68734 95819, isLocatedIn, 68734 95819, isLocatedIn, 117223 Question: In what context are Dehaqan_County and Jewel_(singer) connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Dehaqan_County", "Jewel_(singer)" ], "valid_edges": [ [ "Dehaqan_County", "isLocatedIn", "Iran" ], [ "Dehaqan_County", "isLocatedIn", "Isfahan_Province" ], [ "Isfahan", "isLocatedIn", "Iran" ], [ "Isfahan", "isLocatedIn", "Isfahan_Province" ], [ "Isfahan_County", "isLocatedIn", "Iran" ], [ "Isfahan_County", "isLocatedIn", "Isfahan_Province" ], [ "Isfahan_International_Airport", "isLocatedIn", "Iran" ], [ "Isfahan_International_Airport", "isLocatedIn", "Isfahan_Province" ], [ "Isfahan_Province", "isLocatedIn", "Iran" ], [ "Isfahan_Province", "isLocatedIn", "Isfahan" ], [ "Jewel_(singer)", "hasGender", "female" ], [ "Maryam_Mirzakhani", "hasGender", "female" ], [ "Maryam_Mirzakhani", "isCitizenOf", "Iran" ], [ "Niki_Karimi", "hasGender", "female" ], [ "Niki_Karimi", "isCitizenOf", "Iran" ], [ "Nusrat_Bhutto", "hasGender", "female" ], [ "Nusrat_Bhutto", "isCitizenOf", "Iran" ], [ "University_of_Isfahan", "isLocatedIn", "Iran" ], [ "University_of_Isfahan", "isLocatedIn", "Isfahan_Province" ] ], "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 72065, Alfred_Adler 56087, Robert_Prince 118104, male src, edge_attr, dst 72065, hasGender, 118104 56087, hasGender, 118104 Question: For what reason are Alfred_Adler and Robert_Prince associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Alfred_Adler", "Robert_Prince" ], "valid_edges": [ [ "Alfred_Adler", "hasGender", "male" ], [ "Robert_Prince", "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 80561, Alistair_MacLean 54848, Emil_Kraepelin 61995, Germany 88241, Heidelberg_University 96340, Heinrich_Otto_Wieland 48895, Herbert_Fröhlich 39377, History_(European_TV_channel) 87102, Hugo_von_Seeliger 110324, Ivar_Karl_Ugi 120379, Jigsaw_(1962_film) 38483, Justus_von_Liebig 64258, Karl_Pearson 87446, Ludwig_Maximilian_University_of_Munich 44936, Manfred_Wörner 103129, Marie_Stopes 49656, Max_Weber 100997, Munich 95321, Oskar_Anderson 48542, Oskar_Piloty 80329, Rudolf_Peierls 122990, Talcott_Parsons 100654, United_Kingdom 63265, Werner_Heisenberg 103514, Wilhelm_Frick 50574, Wilhelm_Röntgen 117838, Wilhelm_Traube 29026, Wilhelm_Wien 39435, Wolfgang_Ketterle src, edge_attr, dst 80561, diedIn, 100997 80561, isCitizenOf, 100654 54848, diedIn, 100997 54848, graduatedFrom, 87446 54848, worksAt, 88241 54848, worksAt, 87446 61995, dealsWith, 100654 61995, hasCapital, 100997 88241, isLocatedIn, 61995 96340, diedIn, 100997 96340, graduatedFrom, 87446 96340, worksAt, 87446 48895, graduatedFrom, 87446 48895, isCitizenOf, 100654 48895, livesIn, 100654 39377, isLocatedIn, 100997 39377, isLocatedIn, 100654 87102, diedIn, 100997 87102, worksAt, 87446 110324, diedIn, 100997 110324, graduatedFrom, 87446 120379, isLocatedIn, 100654 38483, diedIn, 100997 38483, worksAt, 87446 64258, graduatedFrom, 88241 64258, isCitizenOf, 100654 87446, isLocatedIn, 61995 87446, isLocatedIn, 100997 44936, graduatedFrom, 88241 44936, graduatedFrom, 87446 103129, graduatedFrom, 87446 103129, isCitizenOf, 100654 49656, diedIn, 100997 49656, worksAt, 88241 49656, worksAt, 87446 100997, isLocatedIn, 61995 95321, diedIn, 100997 95321, worksAt, 87446 48542, graduatedFrom, 87446 48542, wasBornIn, 100997 48542, worksAt, 87446 80329, graduatedFrom, 87446 80329, livesIn, 100654 122990, diedIn, 100997 122990, graduatedFrom, 88241 100654, dealsWith, 61995 63265, diedIn, 100997 63265, graduatedFrom, 87446 63265, worksAt, 87446 103514, graduatedFrom, 88241 103514, graduatedFrom, 87446 50574, diedIn, 100997 50574, worksAt, 87446 117838, graduatedFrom, 88241 117838, graduatedFrom, 87446 29026, diedIn, 100997 29026, worksAt, 87446 39435, graduatedFrom, 88241 39435, graduatedFrom, 87446 39435, worksAt, 88241 Question: How are Emil_Kraepelin and Jigsaw_(1962_film) related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Emil_Kraepelin", "Jigsaw_(1962_film)" ], "valid_edges": [ [ "Alistair_MacLean", "diedIn", "Munich" ], [ "Alistair_MacLean", "isCitizenOf", "United_Kingdom" ], [ "Emil_Kraepelin", "diedIn", "Munich" ], [ "Emil_Kraepelin", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Emil_Kraepelin", "worksAt", "Heidelberg_University" ], [ "Emil_Kraepelin", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Germany", "dealsWith", "United_Kingdom" ], [ "Germany", "hasCapital", "Munich" ], [ "Heidelberg_University", "isLocatedIn", "Germany" ], [ "Heinrich_Otto_Wieland", "diedIn", "Munich" ], [ "Heinrich_Otto_Wieland", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Heinrich_Otto_Wieland", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Herbert_Fröhlich", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Herbert_Fröhlich", "isCitizenOf", "United_Kingdom" ], [ "Herbert_Fröhlich", "livesIn", "United_Kingdom" ], [ "History_(European_TV_channel)", "isLocatedIn", "Munich" ], [ "History_(European_TV_channel)", "isLocatedIn", "United_Kingdom" ], [ "Hugo_von_Seeliger", "diedIn", "Munich" ], [ "Hugo_von_Seeliger", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Ivar_Karl_Ugi", "diedIn", "Munich" ], [ "Ivar_Karl_Ugi", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Jigsaw_(1962_film)", "isLocatedIn", "United_Kingdom" ], [ "Justus_von_Liebig", "diedIn", "Munich" ], [ "Justus_von_Liebig", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Karl_Pearson", "graduatedFrom", "Heidelberg_University" ], [ "Karl_Pearson", "isCitizenOf", "United_Kingdom" ], [ "Ludwig_Maximilian_University_of_Munich", "isLocatedIn", "Germany" ], [ "Ludwig_Maximilian_University_of_Munich", "isLocatedIn", "Munich" ], [ "Manfred_Wörner", "graduatedFrom", "Heidelberg_University" ], [ "Manfred_Wörner", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Marie_Stopes", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Marie_Stopes", "isCitizenOf", "United_Kingdom" ], [ "Max_Weber", "diedIn", "Munich" ], [ "Max_Weber", "worksAt", "Heidelberg_University" ], [ "Max_Weber", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Munich", "isLocatedIn", "Germany" ], [ "Oskar_Anderson", "diedIn", "Munich" ], [ "Oskar_Anderson", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Oskar_Piloty", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Oskar_Piloty", "wasBornIn", "Munich" ], [ "Oskar_Piloty", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Rudolf_Peierls", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Rudolf_Peierls", "livesIn", "United_Kingdom" ], [ "Talcott_Parsons", "diedIn", "Munich" ], [ "Talcott_Parsons", "graduatedFrom", "Heidelberg_University" ], [ "United_Kingdom", "dealsWith", "Germany" ], [ "Werner_Heisenberg", "diedIn", "Munich" ], [ "Werner_Heisenberg", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Werner_Heisenberg", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Wilhelm_Frick", "graduatedFrom", "Heidelberg_University" ], [ "Wilhelm_Frick", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Wilhelm_Röntgen", "diedIn", "Munich" ], [ "Wilhelm_Röntgen", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Wilhelm_Traube", "graduatedFrom", "Heidelberg_University" ], [ "Wilhelm_Traube", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Wilhelm_Wien", "diedIn", "Munich" ], [ "Wilhelm_Wien", "worksAt", "Ludwig_Maximilian_University_of_Munich" ], [ "Wolfgang_Ketterle", "graduatedFrom", "Heidelberg_University" ], [ "Wolfgang_Ketterle", "graduatedFrom", "Ludwig_Maximilian_University_of_Munich" ], [ "Wolfgang_Ketterle", "worksAt", "Heidelberg_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 50657, Andrzej_Tychowski 64560, Drøbak-Frogn_IL 102850, Gmina_Górzyca 36949, Lubusz_Voivodeship 103611, Żary src, edge_attr, dst 50657, isAffiliatedTo, 64560 50657, playsFor, 64560 50657, wasBornIn, 103611 102850, isLocatedIn, 36949 103611, isLocatedIn, 36949 Question: For what reason are Drøbak-Frogn_IL and Gmina_Górzyca associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Drøbak-Frogn_IL", "Gmina_Górzyca" ], "valid_edges": [ [ "Andrzej_Tychowski", "isAffiliatedTo", "Drøbak-Frogn_IL" ], [ "Andrzej_Tychowski", "playsFor", "Drøbak-Frogn_IL" ], [ "Andrzej_Tychowski", "wasBornIn", "Żary" ], [ "Gmina_Górzyca", "isLocatedIn", "Lubusz_Voivodeship" ], [ "Żary", "isLocatedIn", "Lubusz_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 106796, Adolfo_Suárez 51424, Alberto_Ruiz-Gallardón 118356, Alfredo_Pérez_Rubalcaba 31327, Arne_Skouen 117701, Arturo_Pérez-Reverte 6142, Camilo_José_Cela 117203, Carlos_Arias_Navarro 91353, Carlos_Martínez_de_Irujo,_Duke_of_Sotomayor 50040, Daniel_Barenboim 58147, Enrique_Moles_Ormella 15574, Estanislao_Figueras 68393, Felipe_González 78116, Francisco_Camps 122197, Francisco_Fernández_Ordóñez 122220, Francisco_Franco 13061, Francisco_Álvarez_Cascos 63824, George_Santayana 4072, Jaume_Matas 90014, Javier_Arenas_(Spanish_politician) 65254, Javier_Solana 64164, Jean_Dausset 90441, Joan_Miró 116197, Jorge_Semprún 5666, Josep_Borrell 9701, José_Antonio_Primo_de_Rivera 77025, José_García-Margallo_y_Marfil 73595, José_Luis_López_Vázquez 4635, José_Luis_Rodríguez_Zapatero 60307, José_María_Aznar 86357, José_Pedro_Pérez-Llorca 114330, Juan_Antonio_Samaranch 47836, Juan_Carlos_I_of_Spain 112422, Juan_de_la_Cierva 84870, Leopoldo_Calvo-Sotelo 70854, Lionel_Messi 122045, Luis_Bayón_Herrera 122684, Luis_Carrero_Blanco 45879, Manuel_Fraga_Iribarne 113458, Manuel_Lisa 24115, Mariano_Rajoy 33513, Mario_Vargas_Llosa 49218, Martin_Sheen 35296, Mathieu_Orfila 61187, Miguel_Primo_de_Rivera 67942, Miguel_de_Cervantes 122238, Miguel_de_Unamuno 54068, Nacho_Yáñez 1205, Pedro_Solbes 66069, Plácido_Domingo 111099, Rafael_Arias-Salgado 100719, Rafael_Moneo 65209, Ramon_Carnicer 58633, Ricardo_Bofill 85762, Rodrigo_Rato 103521, San_Bartolomé_de_Tirajana 48972, Santiago_Ramón_y_Cajal 113777, Severo_Ochoa 24598, Spain 118104, male 75403, Íñigo_Méndez_de_Vigo src, edge_attr, dst 106796, hasGender, 118104 106796, isPoliticianOf, 24598 51424, hasGender, 118104 51424, isCitizenOf, 24598 51424, livesIn, 24598 118356, hasGender, 118104 118356, isPoliticianOf, 24598 31327, hasGender, 118104 117701, hasGender, 118104 117701, isCitizenOf, 24598 6142, hasGender, 118104 6142, isCitizenOf, 24598 117203, hasGender, 118104 117203, isCitizenOf, 24598 117203, isPoliticianOf, 24598 91353, hasGender, 118104 91353, isPoliticianOf, 24598 50040, hasGender, 118104 50040, isCitizenOf, 24598 58147, hasGender, 118104 58147, isCitizenOf, 24598 15574, hasGender, 118104 15574, isPoliticianOf, 24598 68393, hasGender, 118104 68393, isPoliticianOf, 24598 78116, hasGender, 118104 78116, isCitizenOf, 24598 122197, hasGender, 118104 122197, isPoliticianOf, 24598 122220, hasGender, 118104 122220, isCitizenOf, 24598 122220, isPoliticianOf, 24598 13061, hasGender, 118104 13061, isPoliticianOf, 24598 63824, hasGender, 118104 63824, isCitizenOf, 24598 4072, hasGender, 118104 4072, isPoliticianOf, 24598 90014, hasGender, 118104 90014, isPoliticianOf, 24598 65254, hasGender, 118104 65254, isPoliticianOf, 24598 64164, hasGender, 118104 64164, isCitizenOf, 24598 90441, hasGender, 118104 90441, isCitizenOf, 24598 116197, hasGender, 118104 116197, isPoliticianOf, 24598 5666, hasGender, 118104 5666, isPoliticianOf, 24598 9701, hasGender, 118104 9701, isCitizenOf, 24598 77025, hasGender, 118104 77025, isCitizenOf, 24598 77025, isPoliticianOf, 24598 73595, hasGender, 118104 73595, isCitizenOf, 24598 4635, hasGender, 118104 4635, isPoliticianOf, 24598 60307, hasGender, 118104 60307, isPoliticianOf, 24598 86357, hasGender, 118104 86357, isPoliticianOf, 24598 114330, hasGender, 118104 114330, isPoliticianOf, 24598 47836, hasGender, 118104 47836, isLeaderOf, 24598 112422, hasGender, 118104 112422, isCitizenOf, 24598 84870, hasGender, 118104 84870, isPoliticianOf, 24598 70854, hasGender, 118104 70854, livesIn, 24598 122045, hasGender, 118104 122045, isCitizenOf, 24598 122684, hasGender, 118104 122684, isPoliticianOf, 24598 45879, hasGender, 118104 45879, isPoliticianOf, 24598 113458, hasGender, 118104 113458, isCitizenOf, 24598 24115, hasGender, 118104 24115, isLeaderOf, 24598 24115, isPoliticianOf, 24598 33513, hasGender, 118104 33513, isCitizenOf, 24598 49218, hasGender, 118104 49218, isCitizenOf, 24598 35296, hasGender, 118104 35296, isCitizenOf, 24598 61187, hasGender, 118104 61187, isCitizenOf, 24598 61187, isPoliticianOf, 24598 67942, hasGender, 118104 67942, isCitizenOf, 24598 122238, hasGender, 118104 122238, isCitizenOf, 24598 54068, hasGender, 118104 54068, isCitizenOf, 24598 1205, hasGender, 118104 1205, isPoliticianOf, 24598 66069, hasGender, 118104 66069, isCitizenOf, 24598 111099, hasGender, 118104 111099, isPoliticianOf, 24598 100719, hasGender, 118104 100719, isCitizenOf, 24598 65209, hasGender, 118104 65209, isCitizenOf, 24598 58633, hasGender, 118104 58633, isCitizenOf, 24598 85762, hasGender, 118104 85762, isCitizenOf, 24598 85762, isPoliticianOf, 24598 103521, isLocatedIn, 24598 48972, hasGender, 118104 48972, isCitizenOf, 24598 113777, hasGender, 118104 113777, isCitizenOf, 24598 113777, livesIn, 24598 75403, hasGender, 118104 75403, livesIn, 24598 Question: How are Arne_Skouen and San_Bartolomé_de_Tirajana related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Arne_Skouen", "San_Bartolomé_de_Tirajana" ], "valid_edges": [ [ "Adolfo_Suárez", "hasGender", "male" ], [ "Adolfo_Suárez", "isPoliticianOf", "Spain" ], [ "Alberto_Ruiz-Gallardón", "hasGender", "male" ], [ "Alberto_Ruiz-Gallardón", "isCitizenOf", "Spain" ], [ "Alberto_Ruiz-Gallardón", "livesIn", "Spain" ], [ "Alfredo_Pérez_Rubalcaba", "hasGender", "male" ], [ "Alfredo_Pérez_Rubalcaba", "isPoliticianOf", "Spain" ], [ "Arne_Skouen", "hasGender", "male" ], [ "Arturo_Pérez-Reverte", "hasGender", "male" ], [ "Arturo_Pérez-Reverte", "isCitizenOf", "Spain" ], [ "Camilo_José_Cela", "hasGender", "male" ], [ "Camilo_José_Cela", "isCitizenOf", "Spain" ], [ "Carlos_Arias_Navarro", "hasGender", "male" ], [ "Carlos_Arias_Navarro", "isCitizenOf", "Spain" ], [ "Carlos_Arias_Navarro", "isPoliticianOf", "Spain" ], [ "Carlos_Martínez_de_Irujo,_Duke_of_Sotomayor", "hasGender", "male" ], [ "Carlos_Martínez_de_Irujo,_Duke_of_Sotomayor", "isPoliticianOf", "Spain" ], [ "Daniel_Barenboim", "hasGender", "male" ], [ "Daniel_Barenboim", "isCitizenOf", "Spain" ], [ "Enrique_Moles_Ormella", "hasGender", "male" ], [ "Enrique_Moles_Ormella", "isCitizenOf", "Spain" ], [ "Estanislao_Figueras", "hasGender", "male" ], [ "Estanislao_Figueras", "isPoliticianOf", "Spain" ], [ "Felipe_González", "hasGender", "male" ], [ "Felipe_González", "isPoliticianOf", "Spain" ], [ "Francisco_Camps", "hasGender", "male" ], [ "Francisco_Camps", "isCitizenOf", "Spain" ], [ "Francisco_Fernández_Ordóñez", "hasGender", "male" ], [ "Francisco_Fernández_Ordóñez", "isPoliticianOf", "Spain" ], [ "Francisco_Franco", "hasGender", "male" ], [ "Francisco_Franco", "isCitizenOf", "Spain" ], [ "Francisco_Franco", "isPoliticianOf", "Spain" ], [ "Francisco_Álvarez_Cascos", "hasGender", "male" ], [ "Francisco_Álvarez_Cascos", "isPoliticianOf", "Spain" ], [ "George_Santayana", "hasGender", "male" ], [ "George_Santayana", "isCitizenOf", "Spain" ], [ "Jaume_Matas", "hasGender", "male" ], [ "Jaume_Matas", "isPoliticianOf", "Spain" ], [ "Javier_Arenas_(Spanish_politician)", "hasGender", "male" ], [ "Javier_Arenas_(Spanish_politician)", "isPoliticianOf", "Spain" ], [ "Javier_Solana", "hasGender", "male" ], [ "Javier_Solana", "isPoliticianOf", "Spain" ], [ "Jean_Dausset", "hasGender", "male" ], [ "Jean_Dausset", "isCitizenOf", "Spain" ], [ "Joan_Miró", "hasGender", "male" ], [ "Joan_Miró", "isCitizenOf", "Spain" ], [ "Jorge_Semprún", "hasGender", "male" ], [ "Jorge_Semprún", "isPoliticianOf", "Spain" ], [ "Josep_Borrell", "hasGender", "male" ], [ "Josep_Borrell", "isPoliticianOf", "Spain" ], [ "José_Antonio_Primo_de_Rivera", "hasGender", "male" ], [ "José_Antonio_Primo_de_Rivera", "isCitizenOf", "Spain" ], [ "José_García-Margallo_y_Marfil", "hasGender", "male" ], [ "José_García-Margallo_y_Marfil", "isCitizenOf", "Spain" ], [ "José_García-Margallo_y_Marfil", "isPoliticianOf", "Spain" ], [ "José_Luis_López_Vázquez", "hasGender", "male" ], [ "José_Luis_López_Vázquez", "isCitizenOf", "Spain" ], [ "José_Luis_Rodríguez_Zapatero", "hasGender", "male" ], [ "José_Luis_Rodríguez_Zapatero", "isPoliticianOf", "Spain" ], [ "José_María_Aznar", "hasGender", "male" ], [ "José_María_Aznar", "isPoliticianOf", "Spain" ], [ "José_Pedro_Pérez-Llorca", "hasGender", "male" ], [ "José_Pedro_Pérez-Llorca", "isPoliticianOf", "Spain" ], [ "Juan_Antonio_Samaranch", "hasGender", "male" ], [ "Juan_Antonio_Samaranch", "isPoliticianOf", "Spain" ], [ "Juan_Carlos_I_of_Spain", "hasGender", "male" ], [ "Juan_Carlos_I_of_Spain", "isLeaderOf", "Spain" ], [ "Juan_de_la_Cierva", "hasGender", "male" ], [ "Juan_de_la_Cierva", "isCitizenOf", "Spain" ], [ "Leopoldo_Calvo-Sotelo", "hasGender", "male" ], [ "Leopoldo_Calvo-Sotelo", "isPoliticianOf", "Spain" ], [ "Lionel_Messi", "hasGender", "male" ], [ "Lionel_Messi", "livesIn", "Spain" ], [ "Luis_Bayón_Herrera", "hasGender", "male" ], [ "Luis_Bayón_Herrera", "isCitizenOf", "Spain" ], [ "Luis_Carrero_Blanco", "hasGender", "male" ], [ "Luis_Carrero_Blanco", "isPoliticianOf", "Spain" ], [ "Manuel_Fraga_Iribarne", "hasGender", "male" ], [ "Manuel_Fraga_Iribarne", "isPoliticianOf", "Spain" ], [ "Manuel_Lisa", "hasGender", "male" ], [ "Manuel_Lisa", "isCitizenOf", "Spain" ], [ "Mariano_Rajoy", "hasGender", "male" ], [ "Mariano_Rajoy", "isLeaderOf", "Spain" ], [ "Mariano_Rajoy", "isPoliticianOf", "Spain" ], [ "Mario_Vargas_Llosa", "hasGender", "male" ], [ "Mario_Vargas_Llosa", "isCitizenOf", "Spain" ], [ "Martin_Sheen", "hasGender", "male" ], [ "Martin_Sheen", "isCitizenOf", "Spain" ], [ "Mathieu_Orfila", "hasGender", "male" ], [ "Mathieu_Orfila", "isCitizenOf", "Spain" ], [ "Miguel_Primo_de_Rivera", "hasGender", "male" ], [ "Miguel_Primo_de_Rivera", "isCitizenOf", "Spain" ], [ "Miguel_Primo_de_Rivera", "isPoliticianOf", "Spain" ], [ "Miguel_de_Cervantes", "hasGender", "male" ], [ "Miguel_de_Cervantes", "isCitizenOf", "Spain" ], [ "Miguel_de_Unamuno", "hasGender", "male" ], [ "Miguel_de_Unamuno", "isCitizenOf", "Spain" ], [ "Nacho_Yáñez", "hasGender", "male" ], [ "Nacho_Yáñez", "isCitizenOf", "Spain" ], [ "Pedro_Solbes", "hasGender", "male" ], [ "Pedro_Solbes", "isPoliticianOf", "Spain" ], [ "Plácido_Domingo", "hasGender", "male" ], [ "Plácido_Domingo", "isCitizenOf", "Spain" ], [ "Rafael_Arias-Salgado", "hasGender", "male" ], [ "Rafael_Arias-Salgado", "isPoliticianOf", "Spain" ], [ "Rafael_Moneo", "hasGender", "male" ], [ "Rafael_Moneo", "isCitizenOf", "Spain" ], [ "Ramon_Carnicer", "hasGender", "male" ], [ "Ramon_Carnicer", "isCitizenOf", "Spain" ], [ "Ricardo_Bofill", "hasGender", "male" ], [ "Ricardo_Bofill", "isCitizenOf", "Spain" ], [ "Rodrigo_Rato", "hasGender", "male" ], [ "Rodrigo_Rato", "isCitizenOf", "Spain" ], [ "Rodrigo_Rato", "isPoliticianOf", "Spain" ], [ "San_Bartolomé_de_Tirajana", "isLocatedIn", "Spain" ], [ "Santiago_Ramón_y_Cajal", "hasGender", "male" ], [ "Santiago_Ramón_y_Cajal", "isCitizenOf", "Spain" ], [ "Severo_Ochoa", "hasGender", "male" ], [ "Severo_Ochoa", "isCitizenOf", "Spain" ], [ "Severo_Ochoa", "livesIn", "Spain" ], [ "Íñigo_Méndez_de_Vigo", "hasGender", "male" ], [ "Íñigo_Méndez_de_Vigo", "livesIn", "Spain" ] ], "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 45685, Dunfermline 61995, Germany 96195, Kevin_Fotheringham 73823, Scotland 122323, Unterelsaß src, edge_attr, dst 45685, isLocatedIn, 73823 96195, wasBornIn, 45685 73823, dealsWith, 61995 122323, isLocatedIn, 61995 Question: How are Kevin_Fotheringham and Unterelsaß related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Kevin_Fotheringham", "Unterelsaß" ], "valid_edges": [ [ "Dunfermline", "isLocatedIn", "Scotland" ], [ "Kevin_Fotheringham", "wasBornIn", "Dunfermline" ], [ "Scotland", "dealsWith", "Germany" ], [ "Unterelsaß", "isLocatedIn", "Germany" ] ], "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 19106, Alex_Rafael 115607, Comercial_Futebol_Clube_(Ribeirão_Preto) 27207, F.C._Red_Bull_Salzburg 16927, Gleison_Santos 33917, Milan_Dudić src, edge_attr, dst 19106, isAffiliatedTo, 27207 19106, playsFor, 115607 16927, isAffiliatedTo, 115607 16927, playsFor, 115607 33917, isAffiliatedTo, 27207 Question: For what reason are Gleison_Santos and Milan_Dudić associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gleison_Santos", "Milan_Dudić" ], "valid_edges": [ [ "Alex_Rafael", "isAffiliatedTo", "F.C._Red_Bull_Salzburg" ], [ "Alex_Rafael", "playsFor", "Comercial_Futebol_Clube_(Ribeirão_Preto)" ], [ "Gleison_Santos", "isAffiliatedTo", "Comercial_Futebol_Clube_(Ribeirão_Preto)" ], [ "Gleison_Santos", "playsFor", "Comercial_Futebol_Clube_(Ribeirão_Preto)" ], [ "Milan_Dudić", "isAffiliatedTo", "F.C._Red_Bull_Salzburg" ] ], "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 95754, Aleksandre_Iashvili 99884, John_Maynard_Smith 104617, Junichiro_Koizumi 109259, Karlsruher_SC 39272, University_College_London src, edge_attr, dst 95754, isAffiliatedTo, 109259 95754, playsFor, 109259 99884, graduatedFrom, 39272 104617, graduatedFrom, 39272 104617, playsFor, 109259 Question: In what context are Aleksandre_Iashvili and John_Maynard_Smith connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Aleksandre_Iashvili", "John_Maynard_Smith" ], "valid_edges": [ [ "Aleksandre_Iashvili", "isAffiliatedTo", "Karlsruher_SC" ], [ "Aleksandre_Iashvili", "playsFor", "Karlsruher_SC" ], [ "John_Maynard_Smith", "graduatedFrom", "University_College_London" ], [ "Junichiro_Koizumi", "graduatedFrom", "University_College_London" ], [ "Junichiro_Koizumi", "playsFor", "Karlsruher_SC" ] ], "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 5074, Algeria 50030, Chester,_Illinois 64657, Illinois 26013, Médéa_Province 29157, United_States src, edge_attr, dst 5074, dealsWith, 29157 50030, isLocatedIn, 64657 64657, isLocatedIn, 29157 26013, isLocatedIn, 5074 Question: For what reason are Chester,_Illinois and Médéa_Province associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Chester,_Illinois", "Médéa_Province" ], "valid_edges": [ [ "Algeria", "dealsWith", "United_States" ], [ "Chester,_Illinois", "isLocatedIn", "Illinois" ], [ "Illinois", "isLocatedIn", "United_States" ], [ "Médéa_Province", "isLocatedIn", "Algeria" ] ], "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 90547, Alphonso_Ford 52964, Anthony_Carter 19373, Anthony_Goldwire 105631, Art_Heyman 30953, Ben_Warley 48467, Bernard_Thompson 99488, Chucky_Brown 80752, Conner_Henry 10314, Continental_Basketball_Association 98507, Dallas_Mavericks 17633, Darnell_Mee 82650, Darrick_Martin 89951, Darwin_Cook 37093, Dave_Hoppen 29461, Denver_Nuggets 43221, Doug_Smith_(basketball) 43682, Eddie_Gill 47665, Eddie_Hughes 83274, Eldridge_Recasner 121169, Elliot_Perry 97057, Eric_Washington 13306, Franz_Liszt 108740, Gerald_Glass 118740, Gerald_Green 105060, Greg_Buckner 68637, Harold_Ellis_(basketball) 41978, Hopkinsville,_Kentucky 15641, Houston_Rockets 9818, Hubie_White 35744, Impromptu_(1991_film) 61642, Jaren_Jackson 11231, Jason_Sasser 895, Jerome_Lane 65479, Jim_Farmer 69298, Jim_Thomas_(basketball) 76078, Jimmy_King 116290, Joe_Graboski 70873, John_Kuester 39404, Kenny_Smith 79409, Kiwane_Garris 84082, Lonny_Baxter 32379, Malik_Allen 64280, Manute_Bol 45243, Marcus_Liberty 57865, Mark_Blount 20730, Matt_Fish 24288, Memphis_Grizzlies 57724, Mike_Brown_(basketball,_born_1963) 19394, Minnesota_Timberwolves 77299, Moochie_Norris 50181, Oliver_Mack 26417, Pat_Cummings 59753, Pat_Durham 40072, Paul_Grant_(basketball) 30067, Philadelphia_76ers 116346, Randy_Woods 74277, Sam_Mack 107366, Scott_Williams_(basketball) 48495, Song_Without_End 106698, Song_of_Love_(1947_film) 73493, Texas 82086, Tim_Breaux 46825, Troy_Hudson 7923, Tyson_Wheeler 29157, United_States 78113, Walter_Bond 28889, Will_Conroy src, edge_attr, dst 90547, isAffiliatedTo, 10314 90547, isAffiliatedTo, 30067 52964, isAffiliatedTo, 10314 52964, isAffiliatedTo, 29461 52964, isAffiliatedTo, 19394 19373, isAffiliatedTo, 10314 19373, isAffiliatedTo, 29461 19373, isAffiliatedTo, 19394 105631, isAffiliatedTo, 10314 105631, isAffiliatedTo, 30067 30953, isAffiliatedTo, 10314 30953, isAffiliatedTo, 29461 30953, isAffiliatedTo, 30067 48467, isAffiliatedTo, 10314 48467, isAffiliatedTo, 15641 99488, isAffiliatedTo, 10314 99488, isAffiliatedTo, 98507 99488, isAffiliatedTo, 15641 80752, isAffiliatedTo, 10314 80752, isAffiliatedTo, 15641 98507, isLocatedIn, 73493 17633, isAffiliatedTo, 10314 17633, isAffiliatedTo, 29461 82650, isAffiliatedTo, 98507 82650, isAffiliatedTo, 19394 89951, isAffiliatedTo, 10314 89951, isAffiliatedTo, 29461 37093, isAffiliatedTo, 10314 37093, isAffiliatedTo, 30067 43221, isAffiliatedTo, 10314 43221, isAffiliatedTo, 98507 43682, isAffiliatedTo, 10314 43682, isAffiliatedTo, 24288 47665, isAffiliatedTo, 10314 47665, isAffiliatedTo, 29461 83274, isAffiliatedTo, 29461 83274, isAffiliatedTo, 15641 121169, isAffiliatedTo, 10314 121169, isAffiliatedTo, 24288 97057, isAffiliatedTo, 10314 97057, isAffiliatedTo, 29461 13306, wroteMusicFor, 35744 13306, wroteMusicFor, 48495 13306, wroteMusicFor, 106698 108740, isAffiliatedTo, 10314 108740, isAffiliatedTo, 19394 118740, isAffiliatedTo, 98507 118740, isAffiliatedTo, 15641 118740, isAffiliatedTo, 19394 105060, isAffiliatedTo, 10314 105060, isAffiliatedTo, 98507 105060, isAffiliatedTo, 29461 105060, isAffiliatedTo, 15641 105060, isAffiliatedTo, 24288 105060, isAffiliatedTo, 19394 105060, isAffiliatedTo, 30067 105060, wasBornIn, 41978 68637, isAffiliatedTo, 10314 68637, isAffiliatedTo, 29461 41978, isLocatedIn, 29157 15641, isLocatedIn, 73493 9818, isAffiliatedTo, 10314 9818, isAffiliatedTo, 30067 35744, isLocatedIn, 29157 61642, isAffiliatedTo, 10314 61642, isAffiliatedTo, 15641 61642, isAffiliatedTo, 30067 11231, isAffiliatedTo, 98507 11231, isAffiliatedTo, 24288 895, isAffiliatedTo, 10314 895, isAffiliatedTo, 29461 65479, isAffiliatedTo, 10314 65479, isAffiliatedTo, 98507 65479, isAffiliatedTo, 29461 65479, isAffiliatedTo, 30067 69298, isAffiliatedTo, 10314 69298, isAffiliatedTo, 19394 76078, isAffiliatedTo, 10314 76078, isAffiliatedTo, 29461 116290, isAffiliatedTo, 10314 116290, isAffiliatedTo, 30067 70873, isAffiliatedTo, 29461 70873, isAffiliatedTo, 30067 39404, isAffiliatedTo, 29461 39404, isAffiliatedTo, 15641 79409, isAffiliatedTo, 10314 79409, isAffiliatedTo, 29461 84082, isAffiliatedTo, 10314 84082, isAffiliatedTo, 15641 32379, isAffiliatedTo, 98507 32379, isAffiliatedTo, 29461 64280, isAffiliatedTo, 10314 64280, isAffiliatedTo, 30067 45243, isAffiliatedTo, 10314 45243, isAffiliatedTo, 29461 57865, isAffiliatedTo, 10314 57865, isAffiliatedTo, 29461 57865, isAffiliatedTo, 19394 20730, isAffiliatedTo, 10314 20730, isAffiliatedTo, 29461 57724, isAffiliatedTo, 19394 57724, isAffiliatedTo, 30067 77299, isAffiliatedTo, 10314 77299, isAffiliatedTo, 15641 50181, isAffiliatedTo, 10314 50181, isAffiliatedTo, 98507 26417, isAffiliatedTo, 10314 26417, isAffiliatedTo, 98507 59753, isAffiliatedTo, 10314 59753, isAffiliatedTo, 19394 40072, isAffiliatedTo, 10314 40072, isAffiliatedTo, 19394 116346, isAffiliatedTo, 10314 116346, isAffiliatedTo, 29461 74277, isAffiliatedTo, 10314 74277, isAffiliatedTo, 15641 107366, isAffiliatedTo, 98507 107366, isAffiliatedTo, 29461 107366, isAffiliatedTo, 30067 48495, isLocatedIn, 29157 106698, isLocatedIn, 29157 82086, isAffiliatedTo, 10314 82086, isAffiliatedTo, 15641 46825, isAffiliatedTo, 10314 46825, isAffiliatedTo, 19394 7923, isAffiliatedTo, 10314 7923, isAffiliatedTo, 29461 78113, isAffiliatedTo, 10314 78113, isAffiliatedTo, 98507 28889, isAffiliatedTo, 15641 28889, isAffiliatedTo, 24288 28889, isAffiliatedTo, 19394 Question: How are Franz_Liszt and Greg_Buckner related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Franz_Liszt", "Greg_Buckner" ], "valid_edges": [ [ "Alphonso_Ford", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Alphonso_Ford", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Anthony_Carter", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Anthony_Carter", "isAffiliatedTo", "Denver_Nuggets" ], [ "Anthony_Carter", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Anthony_Goldwire", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Anthony_Goldwire", "isAffiliatedTo", "Denver_Nuggets" ], [ "Anthony_Goldwire", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Art_Heyman", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Art_Heyman", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Ben_Warley", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Ben_Warley", "isAffiliatedTo", "Denver_Nuggets" ], [ "Ben_Warley", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Bernard_Thompson", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Bernard_Thompson", "isAffiliatedTo", "Houston_Rockets" ], [ "Chucky_Brown", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Chucky_Brown", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Chucky_Brown", "isAffiliatedTo", "Houston_Rockets" ], [ "Conner_Henry", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Conner_Henry", "isAffiliatedTo", "Houston_Rockets" ], [ "Dallas_Mavericks", "isLocatedIn", "Texas" ], [ "Darnell_Mee", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Darnell_Mee", "isAffiliatedTo", "Denver_Nuggets" ], [ "Darrick_Martin", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Darrick_Martin", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Darwin_Cook", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Darwin_Cook", "isAffiliatedTo", "Denver_Nuggets" ], [ "Dave_Hoppen", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Dave_Hoppen", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Doug_Smith_(basketball)", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Doug_Smith_(basketball)", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Eddie_Gill", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Eddie_Gill", "isAffiliatedTo", "Memphis_Grizzlies" ], [ "Eddie_Hughes", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Eddie_Hughes", "isAffiliatedTo", "Denver_Nuggets" ], [ "Eldridge_Recasner", "isAffiliatedTo", "Denver_Nuggets" ], [ "Eldridge_Recasner", "isAffiliatedTo", "Houston_Rockets" ], [ "Elliot_Perry", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Elliot_Perry", "isAffiliatedTo", "Memphis_Grizzlies" ], [ "Eric_Washington", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Eric_Washington", "isAffiliatedTo", "Denver_Nuggets" ], [ "Franz_Liszt", "wroteMusicFor", "Impromptu_(1991_film)" ], [ "Franz_Liszt", "wroteMusicFor", "Song_Without_End" ], [ "Franz_Liszt", "wroteMusicFor", "Song_of_Love_(1947_film)" ], [ "Gerald_Glass", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Gerald_Glass", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Gerald_Green", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Gerald_Green", "isAffiliatedTo", "Houston_Rockets" ], [ "Gerald_Green", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Greg_Buckner", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Greg_Buckner", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Greg_Buckner", "isAffiliatedTo", "Denver_Nuggets" ], [ "Greg_Buckner", "isAffiliatedTo", "Houston_Rockets" ], [ "Greg_Buckner", "isAffiliatedTo", "Memphis_Grizzlies" ], [ "Greg_Buckner", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Greg_Buckner", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Greg_Buckner", "wasBornIn", "Hopkinsville,_Kentucky" ], [ "Harold_Ellis_(basketball)", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Harold_Ellis_(basketball)", "isAffiliatedTo", "Denver_Nuggets" ], [ "Hopkinsville,_Kentucky", "isLocatedIn", "United_States" ], [ "Houston_Rockets", "isLocatedIn", "Texas" ], [ "Hubie_White", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Hubie_White", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Impromptu_(1991_film)", "isLocatedIn", "United_States" ], [ "Jaren_Jackson", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Jaren_Jackson", "isAffiliatedTo", "Houston_Rockets" ], [ "Jaren_Jackson", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Jason_Sasser", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Jason_Sasser", "isAffiliatedTo", "Memphis_Grizzlies" ], [ "Jerome_Lane", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Jerome_Lane", "isAffiliatedTo", "Denver_Nuggets" ], [ "Jim_Farmer", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Jim_Farmer", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Jim_Farmer", "isAffiliatedTo", "Denver_Nuggets" ], [ "Jim_Farmer", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Jim_Thomas_(basketball)", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Jim_Thomas_(basketball)", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Jimmy_King", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Jimmy_King", "isAffiliatedTo", "Denver_Nuggets" ], [ "Joe_Graboski", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Joe_Graboski", "isAffiliatedTo", "Philadelphia_76ers" ], [ "John_Kuester", "isAffiliatedTo", "Denver_Nuggets" ], [ "John_Kuester", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Kenny_Smith", "isAffiliatedTo", "Denver_Nuggets" ], [ "Kenny_Smith", "isAffiliatedTo", "Houston_Rockets" ], [ "Kiwane_Garris", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Kiwane_Garris", "isAffiliatedTo", "Denver_Nuggets" ], [ "Lonny_Baxter", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Lonny_Baxter", "isAffiliatedTo", "Houston_Rockets" ], [ "Malik_Allen", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Malik_Allen", "isAffiliatedTo", "Denver_Nuggets" ], [ "Manute_Bol", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Manute_Bol", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Marcus_Liberty", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Marcus_Liberty", "isAffiliatedTo", "Denver_Nuggets" ], [ "Mark_Blount", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Mark_Blount", "isAffiliatedTo", "Denver_Nuggets" ], [ "Mark_Blount", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Matt_Fish", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Matt_Fish", "isAffiliatedTo", "Denver_Nuggets" ], [ "Mike_Brown_(basketball,_born_1963)", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Mike_Brown_(basketball,_born_1963)", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Moochie_Norris", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Moochie_Norris", "isAffiliatedTo", "Houston_Rockets" ], [ "Oliver_Mack", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Oliver_Mack", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Pat_Cummings", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Pat_Cummings", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Pat_Durham", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Pat_Durham", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Paul_Grant_(basketball)", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Paul_Grant_(basketball)", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Randy_Woods", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Randy_Woods", "isAffiliatedTo", "Denver_Nuggets" ], [ "Sam_Mack", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Sam_Mack", "isAffiliatedTo", "Houston_Rockets" ], [ "Scott_Williams_(basketball)", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Scott_Williams_(basketball)", "isAffiliatedTo", "Denver_Nuggets" ], [ "Scott_Williams_(basketball)", "isAffiliatedTo", "Philadelphia_76ers" ], [ "Song_Without_End", "isLocatedIn", "United_States" ], [ "Song_of_Love_(1947_film)", "isLocatedIn", "United_States" ], [ "Tim_Breaux", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Tim_Breaux", "isAffiliatedTo", "Houston_Rockets" ], [ "Troy_Hudson", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Troy_Hudson", "isAffiliatedTo", "Minnesota_Timberwolves" ], [ "Tyson_Wheeler", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Tyson_Wheeler", "isAffiliatedTo", "Denver_Nuggets" ], [ "Walter_Bond", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Walter_Bond", "isAffiliatedTo", "Dallas_Mavericks" ], [ "Will_Conroy", "isAffiliatedTo", "Houston_Rockets" ], [ "Will_Conroy", "isAffiliatedTo", "Memphis_Grizzlies" ], [ "Will_Conroy", "isAffiliatedTo", "Minnesota_Timberwolves" ] ], "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 78819, California 2997, California_State_University,_Northridge 46771, Edwin_Miranda 104446, Fort_Lauderdale_Strikers 62996, Fran_Pavley 88351, Hollywood_United_Hitmen 8828, Lambertville,_New_Jersey 97300, Los_Angeles_Misioneros 6966, Mike_Davis_(politician) 49885, Puerto_Rico 2181, Puerto_Rico_Islanders 105070, Ralph_Larkin 29157, United_States 24016, Willie_Sims_(footballer) src, edge_attr, dst 78819, isLocatedIn, 29157 2997, isLocatedIn, 78819 2997, isLocatedIn, 29157 46771, isAffiliatedTo, 2997 46771, isAffiliatedTo, 104446 46771, isAffiliatedTo, 88351 46771, isAffiliatedTo, 97300 46771, isAffiliatedTo, 2181 46771, playsFor, 2997 46771, playsFor, 104446 46771, playsFor, 88351 46771, playsFor, 97300 46771, playsFor, 2181 62996, graduatedFrom, 2997 62996, isCitizenOf, 29157 8828, isLocatedIn, 29157 6966, graduatedFrom, 2997 6966, isCitizenOf, 29157 49885, dealsWith, 29157 49885, isLocatedIn, 29157 2181, isLocatedIn, 49885 105070, graduatedFrom, 2997 105070, isCitizenOf, 29157 24016, isAffiliatedTo, 2997 24016, isAffiliatedTo, 104446 24016, isAffiliatedTo, 88351 24016, isAffiliatedTo, 97300 24016, isAffiliatedTo, 2181 24016, playsFor, 104446 24016, playsFor, 88351 24016, playsFor, 97300 24016, playsFor, 2181 Question: For what reason are Edwin_Miranda and Lambertville,_New_Jersey associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Edwin_Miranda", "Lambertville,_New_Jersey" ], "valid_edges": [ [ "California", "isLocatedIn", "United_States" ], [ "California_State_University,_Northridge", "isLocatedIn", "California" ], [ "California_State_University,_Northridge", "isLocatedIn", "United_States" ], [ "Edwin_Miranda", "isAffiliatedTo", "California_State_University,_Northridge" ], [ "Edwin_Miranda", "isAffiliatedTo", "Fort_Lauderdale_Strikers" ], [ "Edwin_Miranda", "isAffiliatedTo", "Hollywood_United_Hitmen" ], [ "Edwin_Miranda", "isAffiliatedTo", "Los_Angeles_Misioneros" ], [ "Edwin_Miranda", "isAffiliatedTo", "Puerto_Rico_Islanders" ], [ "Edwin_Miranda", "playsFor", "California_State_University,_Northridge" ], [ "Edwin_Miranda", "playsFor", "Fort_Lauderdale_Strikers" ], [ "Edwin_Miranda", "playsFor", "Hollywood_United_Hitmen" ], [ "Edwin_Miranda", "playsFor", "Los_Angeles_Misioneros" ], [ "Edwin_Miranda", "playsFor", "Puerto_Rico_Islanders" ], [ "Fran_Pavley", "graduatedFrom", "California_State_University,_Northridge" ], [ "Fran_Pavley", "isCitizenOf", "United_States" ], [ "Lambertville,_New_Jersey", "isLocatedIn", "United_States" ], [ "Mike_Davis_(politician)", "graduatedFrom", "California_State_University,_Northridge" ], [ "Mike_Davis_(politician)", "isCitizenOf", "United_States" ], [ "Puerto_Rico", "dealsWith", "United_States" ], [ "Puerto_Rico", "isLocatedIn", "United_States" ], [ "Puerto_Rico_Islanders", "isLocatedIn", "Puerto_Rico" ], [ "Ralph_Larkin", "graduatedFrom", "California_State_University,_Northridge" ], [ "Ralph_Larkin", "isCitizenOf", "United_States" ], [ "Willie_Sims_(footballer)", "isAffiliatedTo", "California_State_University,_Northridge" ], [ "Willie_Sims_(footballer)", "isAffiliatedTo", "Fort_Lauderdale_Strikers" ], [ "Willie_Sims_(footballer)", "isAffiliatedTo", "Hollywood_United_Hitmen" ], [ "Willie_Sims_(footballer)", "isAffiliatedTo", "Los_Angeles_Misioneros" ], [ "Willie_Sims_(footballer)", "isAffiliatedTo", "Puerto_Rico_Islanders" ], [ "Willie_Sims_(footballer)", "playsFor", "Fort_Lauderdale_Strikers" ], [ "Willie_Sims_(footballer)", "playsFor", "Hollywood_United_Hitmen" ], [ "Willie_Sims_(footballer)", "playsFor", "Los_Angeles_Misioneros" ], [ "Willie_Sims_(footballer)", "playsFor", "Puerto_Rico_Islanders" ] ], "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 82042, Amal_McCaskill 19373, Anthony_Goldwire 79673, Carl_Herrera 32477, Charles_Smith_(basketball,_born_1975) 62162, Chris_Christie 55683, Chris_Quinn 33884, Dallas_Comegys 89951, Darwin_Cook 15144, David_Wood_(basketball) 118452, Desmon_Farmer 122540, Fabricio_Oberto 63215, Francisco_Elson 122787, Fred_Roberts 50607, Gary_Neal 76733, George_Gervin 23036, Greg_Sutton_(basketball) 36222, Ime_Udoka 113079, Jack_Haley_(basketball) 122918, Jamie_Feick 13090, Jeff_Lamp 2889, John_Stroeder 64767, Liga_ACB 115315, Linton_Townes 100987, Luis_Scola 83948, Marc_Iavaroni 34656, Mark_McNamara 57724, Mike_Brown_(basketball,_born_1963) 68004, New_Jersey 87477, New_York_metropolitan_area 29976, Newark,_New_Jersey 77257, North_Brunswick,_New_Jersey 31387, Pete_Myers 10755, Prudential_Center 79928, Randy_Holcomb 63850, Reggie_Johnson_(basketball) 1093, Rutgers_School_of_Law–Newark 19485, Rutgers_University 88842, San_Antonio 40569, San_Antonio_Spurs 38453, Scott_Roth 2677, Seton_Hall_University_School_of_Law 52049, Stephen_Bardo 73493, Texas 45909, Tiago_Splitter 17847, Tom_Garrick 6437, Tom_Scheffler 17058, Tony_Massenburg 29157, United_States 22165, Walter_Berry_(basketball) 117785, Woodrow_Wilson src, edge_attr, dst 82042, isAffiliatedTo, 64767 82042, isAffiliatedTo, 40569 19373, isAffiliatedTo, 64767 19373, isAffiliatedTo, 40569 79673, isAffiliatedTo, 64767 79673, isAffiliatedTo, 40569 32477, isAffiliatedTo, 64767 32477, isAffiliatedTo, 40569 62162, isPoliticianOf, 68004 62162, isPoliticianOf, 29157 55683, isAffiliatedTo, 64767 55683, isAffiliatedTo, 40569 33884, isAffiliatedTo, 64767 33884, isAffiliatedTo, 40569 89951, isAffiliatedTo, 40569 89951, isCitizenOf, 29157 15144, isAffiliatedTo, 64767 15144, isAffiliatedTo, 40569 118452, isAffiliatedTo, 64767 118452, isAffiliatedTo, 40569 122540, isAffiliatedTo, 64767 122540, isAffiliatedTo, 40569 63215, isAffiliatedTo, 64767 63215, isAffiliatedTo, 40569 122787, isAffiliatedTo, 64767 122787, isAffiliatedTo, 40569 50607, isAffiliatedTo, 64767 50607, isAffiliatedTo, 40569 76733, isAffiliatedTo, 64767 76733, isAffiliatedTo, 40569 76733, isCitizenOf, 29157 23036, isAffiliatedTo, 64767 23036, isAffiliatedTo, 40569 36222, isAffiliatedTo, 64767 36222, isAffiliatedTo, 40569 113079, isAffiliatedTo, 64767 113079, isAffiliatedTo, 40569 122918, isAffiliatedTo, 64767 122918, isAffiliatedTo, 40569 13090, isAffiliatedTo, 64767 13090, isAffiliatedTo, 40569 2889, isAffiliatedTo, 64767 2889, isAffiliatedTo, 40569 115315, isAffiliatedTo, 64767 115315, isAffiliatedTo, 40569 100987, isAffiliatedTo, 64767 100987, isAffiliatedTo, 40569 83948, isAffiliatedTo, 64767 83948, isAffiliatedTo, 40569 34656, isAffiliatedTo, 64767 34656, isAffiliatedTo, 40569 57724, isAffiliatedTo, 64767 57724, isCitizenOf, 29157 68004, isLocatedIn, 29157 87477, isLocatedIn, 68004 87477, isLocatedIn, 29157 29976, isLocatedIn, 68004 29976, isLocatedIn, 29157 77257, isLocatedIn, 68004 77257, isLocatedIn, 29157 31387, isAffiliatedTo, 64767 31387, isAffiliatedTo, 40569 10755, isLocatedIn, 68004 10755, isLocatedIn, 29157 79928, isAffiliatedTo, 64767 79928, isAffiliatedTo, 40569 63850, isAffiliatedTo, 64767 63850, isAffiliatedTo, 40569 1093, isLocatedIn, 68004 1093, isLocatedIn, 29157 19485, isLocatedIn, 68004 19485, isLocatedIn, 29157 88842, isLocatedIn, 29157 40569, isLocatedIn, 88842 40569, isLocatedIn, 73493 38453, isAffiliatedTo, 64767 38453, isAffiliatedTo, 40569 2677, isLocatedIn, 68004 2677, isLocatedIn, 29157 52049, isAffiliatedTo, 64767 52049, isAffiliatedTo, 40569 73493, isLocatedIn, 29157 45909, isAffiliatedTo, 64767 45909, isAffiliatedTo, 40569 17847, isAffiliatedTo, 64767 17847, isAffiliatedTo, 40569 6437, isAffiliatedTo, 64767 6437, isCitizenOf, 29157 17058, isAffiliatedTo, 64767 17058, isAffiliatedTo, 40569 22165, isAffiliatedTo, 64767 22165, isAffiliatedTo, 40569 117785, isPoliticianOf, 68004 117785, isPoliticianOf, 29157 Question: For what reason are North_Brunswick,_New_Jersey and Tiago_Splitter associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "North_Brunswick,_New_Jersey", "Tiago_Splitter" ], "valid_edges": [ [ "Amal_McCaskill", "isAffiliatedTo", "Liga_ACB" ], [ "Amal_McCaskill", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Anthony_Goldwire", "isAffiliatedTo", "Liga_ACB" ], [ "Anthony_Goldwire", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Carl_Herrera", "isAffiliatedTo", "Liga_ACB" ], [ "Carl_Herrera", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Charles_Smith_(basketball,_born_1975)", "isAffiliatedTo", "Liga_ACB" ], [ "Charles_Smith_(basketball,_born_1975)", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Chris_Christie", "isPoliticianOf", "New_Jersey" ], [ "Chris_Christie", "isPoliticianOf", "United_States" ], [ "Chris_Quinn", "isAffiliatedTo", "Liga_ACB" ], [ "Chris_Quinn", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Dallas_Comegys", "isAffiliatedTo", "Liga_ACB" ], [ "Dallas_Comegys", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Darwin_Cook", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Darwin_Cook", "isCitizenOf", "United_States" ], [ "David_Wood_(basketball)", "isAffiliatedTo", "Liga_ACB" ], [ "David_Wood_(basketball)", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Desmon_Farmer", "isAffiliatedTo", "Liga_ACB" ], [ "Desmon_Farmer", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Fabricio_Oberto", "isAffiliatedTo", "Liga_ACB" ], [ "Fabricio_Oberto", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Francisco_Elson", "isAffiliatedTo", "Liga_ACB" ], [ "Francisco_Elson", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Fred_Roberts", "isAffiliatedTo", "Liga_ACB" ], [ "Fred_Roberts", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Gary_Neal", "isAffiliatedTo", "Liga_ACB" ], [ "Gary_Neal", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "George_Gervin", "isAffiliatedTo", "Liga_ACB" ], [ "George_Gervin", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "George_Gervin", "isCitizenOf", "United_States" ], [ "Greg_Sutton_(basketball)", "isAffiliatedTo", "Liga_ACB" ], [ "Greg_Sutton_(basketball)", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Ime_Udoka", "isAffiliatedTo", "Liga_ACB" ], [ "Ime_Udoka", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Jack_Haley_(basketball)", "isAffiliatedTo", "Liga_ACB" ], [ "Jack_Haley_(basketball)", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Jamie_Feick", "isAffiliatedTo", "Liga_ACB" ], [ "Jamie_Feick", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Jeff_Lamp", "isAffiliatedTo", "Liga_ACB" ], [ "Jeff_Lamp", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "John_Stroeder", "isAffiliatedTo", "Liga_ACB" ], [ "John_Stroeder", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Linton_Townes", "isAffiliatedTo", "Liga_ACB" ], [ "Linton_Townes", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Luis_Scola", "isAffiliatedTo", "Liga_ACB" ], [ "Luis_Scola", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Marc_Iavaroni", "isAffiliatedTo", "Liga_ACB" ], [ "Marc_Iavaroni", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Mark_McNamara", "isAffiliatedTo", "Liga_ACB" ], [ "Mark_McNamara", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Mike_Brown_(basketball,_born_1963)", "isAffiliatedTo", "Liga_ACB" ], [ "Mike_Brown_(basketball,_born_1963)", "isCitizenOf", "United_States" ], [ "New_Jersey", "isLocatedIn", "United_States" ], [ "New_York_metropolitan_area", "isLocatedIn", "New_Jersey" ], [ "New_York_metropolitan_area", "isLocatedIn", "United_States" ], [ "Newark,_New_Jersey", "isLocatedIn", "New_Jersey" ], [ "Newark,_New_Jersey", "isLocatedIn", "United_States" ], [ "North_Brunswick,_New_Jersey", "isLocatedIn", "New_Jersey" ], [ "North_Brunswick,_New_Jersey", "isLocatedIn", "United_States" ], [ "Pete_Myers", "isAffiliatedTo", "Liga_ACB" ], [ "Pete_Myers", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Prudential_Center", "isLocatedIn", "New_Jersey" ], [ "Prudential_Center", "isLocatedIn", "United_States" ], [ "Randy_Holcomb", "isAffiliatedTo", "Liga_ACB" ], [ "Randy_Holcomb", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Reggie_Johnson_(basketball)", "isAffiliatedTo", "Liga_ACB" ], [ "Reggie_Johnson_(basketball)", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Rutgers_School_of_Law–Newark", "isLocatedIn", "New_Jersey" ], [ "Rutgers_School_of_Law–Newark", "isLocatedIn", "United_States" ], [ "Rutgers_University", "isLocatedIn", "New_Jersey" ], [ "Rutgers_University", "isLocatedIn", "United_States" ], [ "San_Antonio", "isLocatedIn", "United_States" ], [ "San_Antonio_Spurs", "isLocatedIn", "San_Antonio" ], [ "San_Antonio_Spurs", "isLocatedIn", "Texas" ], [ "Scott_Roth", "isAffiliatedTo", "Liga_ACB" ], [ "Scott_Roth", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Seton_Hall_University_School_of_Law", "isLocatedIn", "New_Jersey" ], [ "Seton_Hall_University_School_of_Law", "isLocatedIn", "United_States" ], [ "Stephen_Bardo", "isAffiliatedTo", "Liga_ACB" ], [ "Stephen_Bardo", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Texas", "isLocatedIn", "United_States" ], [ "Tiago_Splitter", "isAffiliatedTo", "Liga_ACB" ], [ "Tiago_Splitter", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Tom_Garrick", "isAffiliatedTo", "Liga_ACB" ], [ "Tom_Garrick", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Tom_Scheffler", "isAffiliatedTo", "Liga_ACB" ], [ "Tom_Scheffler", "isCitizenOf", "United_States" ], [ "Tony_Massenburg", "isAffiliatedTo", "Liga_ACB" ], [ "Tony_Massenburg", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Walter_Berry_(basketball)", "isAffiliatedTo", "Liga_ACB" ], [ "Walter_Berry_(basketball)", "isAffiliatedTo", "San_Antonio_Spurs" ], [ "Woodrow_Wilson", "isPoliticianOf", "New_Jersey" ], [ "Woodrow_Wilson", "isPoliticianOf", "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 111412, Abdelkader_Oueslati 1412, Ahmed_Guilouzi 26130, Gheorghe_Andronic 115514, HNK_Gorica 104075, Tunisia_national_football_team src, edge_attr, dst 111412, isAffiliatedTo, 104075 111412, playsFor, 104075 1412, isAffiliatedTo, 115514 1412, isAffiliatedTo, 104075 1412, playsFor, 115514 26130, playsFor, 115514 Question: In what context are Abdelkader_Oueslati and Gheorghe_Andronic connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Abdelkader_Oueslati", "Gheorghe_Andronic" ], "valid_edges": [ [ "Abdelkader_Oueslati", "isAffiliatedTo", "Tunisia_national_football_team" ], [ "Abdelkader_Oueslati", "playsFor", "Tunisia_national_football_team" ], [ "Ahmed_Guilouzi", "isAffiliatedTo", "HNK_Gorica" ], [ "Ahmed_Guilouzi", "isAffiliatedTo", "Tunisia_national_football_team" ], [ "Ahmed_Guilouzi", "playsFor", "HNK_Gorica" ], [ "Gheorghe_Andronic", "playsFor", "HNK_Gorica" ] ], "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 61029, France_national_football_team 54846, João_do_Canto_e_Castro 35219, Mértola_Municipality 3617, Portugal 33494, Yves_Chauveau src, edge_attr, dst 54846, isPoliticianOf, 3617 54846, playsFor, 61029 35219, isLocatedIn, 3617 33494, isAffiliatedTo, 61029 33494, playsFor, 61029 Question: In what context are Mértola_Municipality and Yves_Chauveau connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Mértola_Municipality", "Yves_Chauveau" ], "valid_edges": [ [ "João_do_Canto_e_Castro", "isPoliticianOf", "Portugal" ], [ "João_do_Canto_e_Castro", "playsFor", "France_national_football_team" ], [ "Mértola_Municipality", "isLocatedIn", "Portugal" ], [ "Yves_Chauveau", "isAffiliatedTo", "France_national_football_team" ], [ "Yves_Chauveau", "playsFor", "France_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 103289, Akshaya_Patra_Foundation 55155, Gujarat 28432, Karnataka 30131, Shirali 82832, Vadodara 34671, Western_Ghats src, edge_attr, dst 103289, isLocatedIn, 55155 103289, isLocatedIn, 28432 30131, isLocatedIn, 28432 82832, isLocatedIn, 55155 34671, isLocatedIn, 55155 34671, isLocatedIn, 28432 Question: How are Shirali and Vadodara related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Shirali", "Vadodara" ], "valid_edges": [ [ "Akshaya_Patra_Foundation", "isLocatedIn", "Gujarat" ], [ "Akshaya_Patra_Foundation", "isLocatedIn", "Karnataka" ], [ "Shirali", "isLocatedIn", "Karnataka" ], [ "Vadodara", "isLocatedIn", "Gujarat" ], [ "Western_Ghats", "isLocatedIn", "Gujarat" ], [ "Western_Ghats", "isLocatedIn", "Karnataka" ] ], "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 107308, Golden_Globe_Award 16122, Julianna_Margulies 93164, Peter_Sellers 32522, Portsmouth 105446, Ralph_Hunt src, edge_attr, dst 16122, hasWonPrize, 107308 93164, hasWonPrize, 107308 93164, wasBornIn, 32522 105446, wasBornIn, 32522 Question: How are Julianna_Margulies and Ralph_Hunt related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Julianna_Margulies", "Ralph_Hunt" ], "valid_edges": [ [ "Julianna_Margulies", "hasWonPrize", "Golden_Globe_Award" ], [ "Peter_Sellers", "hasWonPrize", "Golden_Globe_Award" ], [ "Peter_Sellers", "wasBornIn", "Portsmouth" ], [ "Ralph_Hunt", "wasBornIn", "Portsmouth" ] ], "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 29009, Alexis_Smith 110365, Bernard_Fox_(actor) 10786, Craig_Stevens_(actor) 69937, Eva_Gabor 83742, Gloria_Grahame 12039, Henryk_Wars 23442, Jeanette_Nolan 21382, Joe_Flynn_(US_actor) 51522, John_McIntire 40620, Liberty,_Missouri 110262, Los_Angeles 27307, Pat_Buttram 70432, Sammy_Fain 4488, The_Big_Heat 122814, The_Rescuers 101107, University_of_Southern_California src, edge_attr, dst 29009, diedIn, 110262 29009, isMarriedTo, 10786 110365, actedIn, 122814 110365, livesIn, 110262 10786, diedIn, 110262 10786, isMarriedTo, 29009 10786, wasBornIn, 40620 69937, actedIn, 122814 69937, diedIn, 110262 83742, actedIn, 4488 83742, wasBornIn, 110262 12039, diedIn, 110262 12039, wroteMusicFor, 4488 23442, actedIn, 4488 23442, actedIn, 122814 23442, diedIn, 110262 23442, isMarriedTo, 51522 23442, wasBornIn, 110262 21382, actedIn, 122814 21382, diedIn, 110262 51522, actedIn, 122814 51522, graduatedFrom, 101107 51522, isMarriedTo, 23442 27307, actedIn, 122814 27307, diedIn, 110262 70432, diedIn, 110262 70432, wroteMusicFor, 122814 101107, isLocatedIn, 110262 Question: In what context are Jeanette_Nolan and Liberty,_Missouri connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Jeanette_Nolan", "Liberty,_Missouri" ], "valid_edges": [ [ "Alexis_Smith", "diedIn", "Los_Angeles" ], [ "Alexis_Smith", "isMarriedTo", "Craig_Stevens_(actor)" ], [ "Bernard_Fox_(actor)", "actedIn", "The_Rescuers" ], [ "Bernard_Fox_(actor)", "livesIn", "Los_Angeles" ], [ "Craig_Stevens_(actor)", "diedIn", "Los_Angeles" ], [ "Craig_Stevens_(actor)", "isMarriedTo", "Alexis_Smith" ], [ "Craig_Stevens_(actor)", "wasBornIn", "Liberty,_Missouri" ], [ "Eva_Gabor", "actedIn", "The_Rescuers" ], [ "Eva_Gabor", "diedIn", "Los_Angeles" ], [ "Gloria_Grahame", "actedIn", "The_Big_Heat" ], [ "Gloria_Grahame", "wasBornIn", "Los_Angeles" ], [ "Henryk_Wars", "diedIn", "Los_Angeles" ], [ "Henryk_Wars", "wroteMusicFor", "The_Big_Heat" ], [ "Jeanette_Nolan", "actedIn", "The_Big_Heat" ], [ "Jeanette_Nolan", "actedIn", "The_Rescuers" ], [ "Jeanette_Nolan", "diedIn", "Los_Angeles" ], [ "Jeanette_Nolan", "isMarriedTo", "John_McIntire" ], [ "Jeanette_Nolan", "wasBornIn", "Los_Angeles" ], [ "Joe_Flynn_(US_actor)", "actedIn", "The_Rescuers" ], [ "Joe_Flynn_(US_actor)", "diedIn", "Los_Angeles" ], [ "John_McIntire", "actedIn", "The_Rescuers" ], [ "John_McIntire", "graduatedFrom", "University_of_Southern_California" ], [ "John_McIntire", "isMarriedTo", "Jeanette_Nolan" ], [ "Pat_Buttram", "actedIn", "The_Rescuers" ], [ "Pat_Buttram", "diedIn", "Los_Angeles" ], [ "Sammy_Fain", "diedIn", "Los_Angeles" ], [ "Sammy_Fain", "wroteMusicFor", "The_Rescuers" ], [ "University_of_Southern_California", "isLocatedIn", "Los_Angeles" ] ], "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 46550, Anna_Akhmatova 62716, Anna_Tsuchiya 117284, Becky_Hammon 3835, Irina_Muravyova 50793, Lioubov_Sokolova 114768, Moscow 11458, Narimanovo_Airport 89224, Russia 6553, Valentina_Matviyenko 96511, Valentina_Tereshkova 2453, Vnukovo_International_Airport 112535, Yekaterina_Gamova 80384, female src, edge_attr, dst 46550, hasGender, 80384 46550, isCitizenOf, 89224 62716, hasGender, 80384 117284, hasGender, 80384 117284, isCitizenOf, 89224 3835, hasGender, 80384 3835, isCitizenOf, 89224 50793, hasGender, 80384 50793, isCitizenOf, 89224 114768, isLocatedIn, 89224 11458, isConnectedTo, 2453 11458, isLocatedIn, 89224 89224, hasCapital, 114768 6553, hasGender, 80384 6553, isCitizenOf, 89224 6553, isLeaderOf, 89224 96511, hasGender, 80384 96511, isCitizenOf, 89224 2453, isConnectedTo, 11458 2453, isLocatedIn, 114768 2453, isLocatedIn, 89224 112535, hasGender, 80384 112535, isCitizenOf, 89224 Question: How are Anna_Tsuchiya and Narimanovo_Airport related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Anna_Tsuchiya", "Narimanovo_Airport" ], "valid_edges": [ [ "Anna_Akhmatova", "hasGender", "female" ], [ "Anna_Akhmatova", "isCitizenOf", "Russia" ], [ "Anna_Tsuchiya", "hasGender", "female" ], [ "Becky_Hammon", "hasGender", "female" ], [ "Becky_Hammon", "isCitizenOf", "Russia" ], [ "Irina_Muravyova", "hasGender", "female" ], [ "Irina_Muravyova", "isCitizenOf", "Russia" ], [ "Lioubov_Sokolova", "hasGender", "female" ], [ "Lioubov_Sokolova", "isCitizenOf", "Russia" ], [ "Moscow", "isLocatedIn", "Russia" ], [ "Narimanovo_Airport", "isConnectedTo", "Vnukovo_International_Airport" ], [ "Narimanovo_Airport", "isLocatedIn", "Russia" ], [ "Russia", "hasCapital", "Moscow" ], [ "Valentina_Matviyenko", "hasGender", "female" ], [ "Valentina_Matviyenko", "isCitizenOf", "Russia" ], [ "Valentina_Matviyenko", "isLeaderOf", "Russia" ], [ "Valentina_Tereshkova", "hasGender", "female" ], [ "Valentina_Tereshkova", "isCitizenOf", "Russia" ], [ "Vnukovo_International_Airport", "isConnectedTo", "Narimanovo_Airport" ], [ "Vnukovo_International_Airport", "isLocatedIn", "Moscow" ], [ "Vnukovo_International_Airport", "isLocatedIn", "Russia" ], [ "Yekaterina_Gamova", "hasGender", "female" ], [ "Yekaterina_Gamova", "isCitizenOf", "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 17893, Andrei_Viktorovich_Smirnov 56224, Arkadiusz_Milik 53516, Bartosz_Karwan 24010, Boston_Bruins 73067, Dawid_Jarka 101926, Dominik_Kisiel 111470, GKS_Katowice 23217, GKS_Tychy 18594, GKS_Tychy_(ice_hockey) 67432, Jakub_Świerczok 8899, Konrad_Kapler 3543, Krzysztof_Kozik 38478, Krzysztof_Nowak 116844, Krzysztof_Oliwa 72148, Lukas_Sinkiewicz 119973, Marcel_Witeczek 78278, Mariusz_Czerkawski 101086, Mirosław_Dreszer 42227, Radosław_Gilewicz 62342, Ryszard_Komornicki 48991, Tychy 118104, male src, edge_attr, dst 17893, hasGender, 118104 56224, hasGender, 118104 56224, wasBornIn, 48991 53516, hasGender, 118104 53516, isAffiliatedTo, 111470 53516, isAffiliatedTo, 23217 53516, isAffiliatedTo, 18594 53516, playsFor, 111470 53516, playsFor, 23217 53516, wasBornIn, 48991 73067, hasGender, 118104 73067, isAffiliatedTo, 111470 73067, isAffiliatedTo, 23217 73067, isAffiliatedTo, 18594 73067, playsFor, 111470 73067, playsFor, 23217 101926, hasGender, 118104 101926, isAffiliatedTo, 23217 101926, isAffiliatedTo, 18594 101926, playsFor, 23217 18594, isLocatedIn, 48991 67432, hasGender, 118104 67432, wasBornIn, 48991 8899, hasGender, 118104 8899, wasBornIn, 48991 3543, hasGender, 118104 3543, wasBornIn, 48991 38478, hasGender, 118104 38478, isAffiliatedTo, 23217 38478, isAffiliatedTo, 18594 38478, playsFor, 23217 116844, hasGender, 118104 116844, isAffiliatedTo, 24010 116844, isAffiliatedTo, 111470 116844, isAffiliatedTo, 18594 116844, wasBornIn, 48991 72148, hasGender, 118104 72148, wasBornIn, 48991 119973, hasGender, 118104 119973, wasBornIn, 48991 78278, hasGender, 118104 78278, isAffiliatedTo, 24010 78278, isAffiliatedTo, 18594 101086, hasGender, 118104 101086, wasBornIn, 48991 42227, hasGender, 118104 42227, isAffiliatedTo, 23217 42227, isAffiliatedTo, 18594 42227, playsFor, 23217 62342, hasGender, 118104 62342, isAffiliatedTo, 23217 62342, isAffiliatedTo, 18594 62342, playsFor, 23217 Question: For what reason are Andrei_Viktorovich_Smirnov and GKS_Tychy_(ice_hockey) associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Andrei_Viktorovich_Smirnov", "GKS_Tychy_(ice_hockey)" ], "valid_edges": [ [ "Andrei_Viktorovich_Smirnov", "hasGender", "male" ], [ "Arkadiusz_Milik", "hasGender", "male" ], [ "Arkadiusz_Milik", "wasBornIn", "Tychy" ], [ "Bartosz_Karwan", "hasGender", "male" ], [ "Bartosz_Karwan", "isAffiliatedTo", "GKS_Katowice" ], [ "Bartosz_Karwan", "isAffiliatedTo", "GKS_Tychy" ], [ "Bartosz_Karwan", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Bartosz_Karwan", "playsFor", "GKS_Katowice" ], [ "Bartosz_Karwan", "playsFor", "GKS_Tychy" ], [ "Bartosz_Karwan", "wasBornIn", "Tychy" ], [ "Dawid_Jarka", "hasGender", "male" ], [ "Dawid_Jarka", "isAffiliatedTo", "GKS_Katowice" ], [ "Dawid_Jarka", "isAffiliatedTo", "GKS_Tychy" ], [ "Dawid_Jarka", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Dawid_Jarka", "playsFor", "GKS_Katowice" ], [ "Dawid_Jarka", "playsFor", "GKS_Tychy" ], [ "Dominik_Kisiel", "hasGender", "male" ], [ "Dominik_Kisiel", "isAffiliatedTo", "GKS_Tychy" ], [ "Dominik_Kisiel", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Dominik_Kisiel", "playsFor", "GKS_Tychy" ], [ "GKS_Tychy_(ice_hockey)", "isLocatedIn", "Tychy" ], [ "Jakub_Świerczok", "hasGender", "male" ], [ "Jakub_Świerczok", "wasBornIn", "Tychy" ], [ "Konrad_Kapler", "hasGender", "male" ], [ "Konrad_Kapler", "wasBornIn", "Tychy" ], [ "Krzysztof_Kozik", "hasGender", "male" ], [ "Krzysztof_Kozik", "wasBornIn", "Tychy" ], [ "Krzysztof_Nowak", "hasGender", "male" ], [ "Krzysztof_Nowak", "isAffiliatedTo", "GKS_Tychy" ], [ "Krzysztof_Nowak", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Krzysztof_Nowak", "playsFor", "GKS_Tychy" ], [ "Krzysztof_Oliwa", "hasGender", "male" ], [ "Krzysztof_Oliwa", "isAffiliatedTo", "Boston_Bruins" ], [ "Krzysztof_Oliwa", "isAffiliatedTo", "GKS_Katowice" ], [ "Krzysztof_Oliwa", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Krzysztof_Oliwa", "wasBornIn", "Tychy" ], [ "Lukas_Sinkiewicz", "hasGender", "male" ], [ "Lukas_Sinkiewicz", "wasBornIn", "Tychy" ], [ "Marcel_Witeczek", "hasGender", "male" ], [ "Marcel_Witeczek", "wasBornIn", "Tychy" ], [ "Mariusz_Czerkawski", "hasGender", "male" ], [ "Mariusz_Czerkawski", "isAffiliatedTo", "Boston_Bruins" ], [ "Mariusz_Czerkawski", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Mirosław_Dreszer", "hasGender", "male" ], [ "Mirosław_Dreszer", "wasBornIn", "Tychy" ], [ "Radosław_Gilewicz", "hasGender", "male" ], [ "Radosław_Gilewicz", "isAffiliatedTo", "GKS_Tychy" ], [ "Radosław_Gilewicz", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Radosław_Gilewicz", "playsFor", "GKS_Tychy" ], [ "Ryszard_Komornicki", "hasGender", "male" ], [ "Ryszard_Komornicki", "isAffiliatedTo", "GKS_Tychy" ], [ "Ryszard_Komornicki", "isAffiliatedTo", "GKS_Tychy_(ice_hockey)" ], [ "Ryszard_Komornicki", "playsFor", "GKS_Tychy" ] ], "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 53714, Douglas_Engelbart 113586, George_Dantzig 103485, Herbert_S._Gutowsky 109498, Portland,_Oregon 47965, Portland_State_University 112192, University_of_California,_Berkeley src, edge_attr, dst 53714, graduatedFrom, 112192 53714, wasBornIn, 109498 113586, graduatedFrom, 112192 113586, wasBornIn, 109498 113586, worksAt, 112192 103485, graduatedFrom, 112192 47965, isLocatedIn, 109498 Question: How are Herbert_S._Gutowsky and Portland_State_University related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Herbert_S._Gutowsky", "Portland_State_University" ], "valid_edges": [ [ "Douglas_Engelbart", "graduatedFrom", "University_of_California,_Berkeley" ], [ "Douglas_Engelbart", "wasBornIn", "Portland,_Oregon" ], [ "George_Dantzig", "graduatedFrom", "University_of_California,_Berkeley" ], [ "George_Dantzig", "wasBornIn", "Portland,_Oregon" ], [ "George_Dantzig", "worksAt", "University_of_California,_Berkeley" ], [ "Herbert_S._Gutowsky", "graduatedFrom", "University_of_California,_Berkeley" ], [ "Portland_State_University", "isLocatedIn", "Portland,_Oregon" ] ], "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 22604, Aberdeen_F.C. 3510, Alan_Maybury 19177, Alex_Ferguson 12654, Billy_Dodds 30802, Bob_Riley 9998, Dan_Smith_(footballer_born_1986) 114356, Dan_Thomson 104495, Danny_Griffin 84105, David_Auburn 75125, Derek_McInnes 65666, Derek_Young 119463, Dyron_Daal 7979, Gary_McDonald_(footballer_born_1982) 90972, Jamie_McQuilken 11729, Jamie_Winter 90860, Jimmy_Gauld 9026, John_Inglis_(footballer) 111600, John_Stewart_(footballer) 24849, Kevin_Rutkiewicz 112627, Margaret_Thatcher 51678, Michael_Hart_(footballer) 80404, Michael_O'Neill_(footballer) 73179, Mixu_Paatelainen 89292, Paul_Bernard_(footballer) 78501, Paul_Hartley 5068, Paul_Kane_(footballer) 70283, Paul_Sheerin 24496, Paul_Wright_(footballer) 50189, Peter_Pawlett 22211, Richie_Byrne 53478, Rick_Husband 72263, Rory_Fallon 67983, Roy_Childs 22173, St._Johnstone_F.C. 56014, Steve_MacLean_(footballer) 62041, Steve_Tosh 115719, Stuart_McCaffrey 88438, Umesh_Vazirani 29157, United_States 50659, Walker_McCall 70074, Willie_Falconer src, edge_attr, dst 3510, isAffiliatedTo, 22604 3510, isAffiliatedTo, 22173 3510, playsFor, 22604 3510, playsFor, 22173 19177, isAffiliatedTo, 22604 19177, isAffiliatedTo, 22173 19177, playsFor, 22173 12654, isAffiliatedTo, 22604 12654, isAffiliatedTo, 22173 12654, playsFor, 22604 12654, playsFor, 22173 30802, isPoliticianOf, 29157 30802, playsFor, 22173 9998, isAffiliatedTo, 22604 9998, isAffiliatedTo, 22173 9998, playsFor, 22604 9998, playsFor, 22173 114356, isAffiliatedTo, 22604 114356, isAffiliatedTo, 22173 114356, playsFor, 22604 114356, playsFor, 22173 104495, isAffiliatedTo, 22604 104495, isAffiliatedTo, 22173 104495, playsFor, 22604 104495, playsFor, 22173 84105, playsFor, 22604 84105, playsFor, 22173 75125, isAffiliatedTo, 22604 75125, isAffiliatedTo, 22173 75125, playsFor, 22173 65666, isAffiliatedTo, 22604 65666, isAffiliatedTo, 22173 65666, playsFor, 22604 65666, playsFor, 22173 119463, isAffiliatedTo, 22604 119463, isAffiliatedTo, 22173 119463, playsFor, 22604 119463, playsFor, 22173 7979, isAffiliatedTo, 22604 7979, isAffiliatedTo, 22173 7979, playsFor, 22604 7979, playsFor, 22173 90972, isAffiliatedTo, 22604 90972, isAffiliatedTo, 22173 90972, playsFor, 22604 90972, playsFor, 22173 11729, isAffiliatedTo, 22604 11729, isAffiliatedTo, 22173 11729, playsFor, 22604 11729, playsFor, 22173 90860, isAffiliatedTo, 22604 90860, isAffiliatedTo, 22173 90860, playsFor, 22604 90860, playsFor, 22173 9026, isAffiliatedTo, 22604 9026, isAffiliatedTo, 22173 9026, playsFor, 22604 9026, playsFor, 22173 111600, isAffiliatedTo, 22604 111600, isAffiliatedTo, 22173 111600, playsFor, 22604 111600, playsFor, 22173 24849, isAffiliatedTo, 22604 24849, isAffiliatedTo, 22173 24849, playsFor, 22604 24849, playsFor, 22173 112627, playsFor, 22604 112627, playsFor, 22173 51678, isAffiliatedTo, 22604 51678, isAffiliatedTo, 22173 51678, playsFor, 22604 51678, playsFor, 22173 80404, isAffiliatedTo, 22604 80404, isAffiliatedTo, 22173 80404, playsFor, 22604 80404, playsFor, 22173 73179, isAffiliatedTo, 22604 73179, isAffiliatedTo, 22173 73179, playsFor, 22604 73179, playsFor, 22173 89292, isAffiliatedTo, 22604 89292, isAffiliatedTo, 22173 89292, playsFor, 22604 89292, playsFor, 22173 78501, isAffiliatedTo, 22604 78501, isAffiliatedTo, 22173 78501, playsFor, 22604 78501, playsFor, 22173 5068, isAffiliatedTo, 22604 5068, isAffiliatedTo, 22173 5068, playsFor, 22604 5068, playsFor, 22173 70283, isAffiliatedTo, 22604 70283, isAffiliatedTo, 22173 70283, playsFor, 22604 70283, playsFor, 22173 24496, isAffiliatedTo, 22604 24496, isAffiliatedTo, 22173 24496, playsFor, 22604 24496, playsFor, 22173 50189, isAffiliatedTo, 22604 50189, isAffiliatedTo, 22173 50189, playsFor, 22604 50189, playsFor, 22173 22211, isAffiliatedTo, 22604 22211, isAffiliatedTo, 22173 22211, playsFor, 22604 22211, playsFor, 22173 53478, isCitizenOf, 29157 53478, playsFor, 22604 53478, playsFor, 22173 72263, isAffiliatedTo, 22604 72263, isAffiliatedTo, 22173 72263, playsFor, 22604 72263, playsFor, 22173 67983, isCitizenOf, 29157 67983, playsFor, 22604 56014, isAffiliatedTo, 22604 56014, isAffiliatedTo, 22173 56014, playsFor, 22604 56014, playsFor, 22173 62041, isAffiliatedTo, 22604 62041, isAffiliatedTo, 22173 62041, playsFor, 22604 62041, playsFor, 22173 115719, isAffiliatedTo, 22604 115719, isAffiliatedTo, 22173 115719, playsFor, 22604 115719, playsFor, 22173 88438, livesIn, 29157 50659, isAffiliatedTo, 22604 50659, isAffiliatedTo, 22173 50659, playsFor, 22604 50659, playsFor, 22173 70074, isAffiliatedTo, 22604 70074, isAffiliatedTo, 22173 70074, playsFor, 22604 70074, playsFor, 22173 Question: How are Billy_Dodds and Umesh_Vazirani related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Billy_Dodds", "Umesh_Vazirani" ], "valid_edges": [ [ "Alan_Maybury", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Alan_Maybury", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Alan_Maybury", "playsFor", "Aberdeen_F.C." ], [ "Alan_Maybury", "playsFor", "St._Johnstone_F.C." ], [ "Alex_Ferguson", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Alex_Ferguson", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Alex_Ferguson", "playsFor", "St._Johnstone_F.C." ], [ "Billy_Dodds", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Billy_Dodds", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Billy_Dodds", "playsFor", "Aberdeen_F.C." ], [ "Billy_Dodds", "playsFor", "St._Johnstone_F.C." ], [ "Bob_Riley", "isPoliticianOf", "United_States" ], [ "Bob_Riley", "playsFor", "St._Johnstone_F.C." ], [ "Dan_Smith_(footballer_born_1986)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Dan_Smith_(footballer_born_1986)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Dan_Smith_(footballer_born_1986)", "playsFor", "Aberdeen_F.C." ], [ "Dan_Smith_(footballer_born_1986)", "playsFor", "St._Johnstone_F.C." ], [ "Dan_Thomson", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Dan_Thomson", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Dan_Thomson", "playsFor", "Aberdeen_F.C." ], [ "Dan_Thomson", "playsFor", "St._Johnstone_F.C." ], [ "Danny_Griffin", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Danny_Griffin", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Danny_Griffin", "playsFor", "Aberdeen_F.C." ], [ "Danny_Griffin", "playsFor", "St._Johnstone_F.C." ], [ "David_Auburn", "playsFor", "Aberdeen_F.C." ], [ "David_Auburn", "playsFor", "St._Johnstone_F.C." ], [ "Derek_McInnes", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Derek_McInnes", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Derek_McInnes", "playsFor", "St._Johnstone_F.C." ], [ "Derek_Young", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Derek_Young", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Derek_Young", "playsFor", "Aberdeen_F.C." ], [ "Derek_Young", "playsFor", "St._Johnstone_F.C." ], [ "Dyron_Daal", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Dyron_Daal", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Dyron_Daal", "playsFor", "Aberdeen_F.C." ], [ "Dyron_Daal", "playsFor", "St._Johnstone_F.C." ], [ "Gary_McDonald_(footballer_born_1982)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Gary_McDonald_(footballer_born_1982)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Gary_McDonald_(footballer_born_1982)", "playsFor", "Aberdeen_F.C." ], [ "Gary_McDonald_(footballer_born_1982)", "playsFor", "St._Johnstone_F.C." ], [ "Jamie_McQuilken", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Jamie_McQuilken", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Jamie_McQuilken", "playsFor", "Aberdeen_F.C." ], [ "Jamie_McQuilken", "playsFor", "St._Johnstone_F.C." ], [ "Jamie_Winter", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Jamie_Winter", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Jamie_Winter", "playsFor", "Aberdeen_F.C." ], [ "Jamie_Winter", "playsFor", "St._Johnstone_F.C." ], [ "Jimmy_Gauld", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Jimmy_Gauld", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Jimmy_Gauld", "playsFor", "Aberdeen_F.C." ], [ "Jimmy_Gauld", "playsFor", "St._Johnstone_F.C." ], [ "John_Inglis_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "John_Inglis_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "John_Inglis_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "John_Inglis_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "John_Stewart_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "John_Stewart_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "John_Stewart_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "John_Stewart_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "Kevin_Rutkiewicz", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Kevin_Rutkiewicz", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Kevin_Rutkiewicz", "playsFor", "Aberdeen_F.C." ], [ "Kevin_Rutkiewicz", "playsFor", "St._Johnstone_F.C." ], [ "Margaret_Thatcher", "playsFor", "Aberdeen_F.C." ], [ "Margaret_Thatcher", "playsFor", "St._Johnstone_F.C." ], [ "Michael_Hart_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Michael_Hart_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Michael_Hart_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "Michael_Hart_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "Michael_O'Neill_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Michael_O'Neill_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Michael_O'Neill_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "Michael_O'Neill_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "Mixu_Paatelainen", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Mixu_Paatelainen", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Mixu_Paatelainen", "playsFor", "Aberdeen_F.C." ], [ "Mixu_Paatelainen", "playsFor", "St._Johnstone_F.C." ], [ "Paul_Bernard_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Paul_Bernard_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Paul_Bernard_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "Paul_Bernard_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "Paul_Hartley", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Paul_Hartley", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Paul_Hartley", "playsFor", "Aberdeen_F.C." ], [ "Paul_Hartley", "playsFor", "St._Johnstone_F.C." ], [ "Paul_Kane_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Paul_Kane_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Paul_Kane_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "Paul_Kane_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "Paul_Sheerin", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Paul_Sheerin", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Paul_Sheerin", "playsFor", "Aberdeen_F.C." ], [ "Paul_Sheerin", "playsFor", "St._Johnstone_F.C." ], [ "Paul_Wright_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Paul_Wright_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Paul_Wright_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "Paul_Wright_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "Peter_Pawlett", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Peter_Pawlett", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Peter_Pawlett", "playsFor", "Aberdeen_F.C." ], [ "Peter_Pawlett", "playsFor", "St._Johnstone_F.C." ], [ "Richie_Byrne", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Richie_Byrne", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Richie_Byrne", "playsFor", "Aberdeen_F.C." ], [ "Richie_Byrne", "playsFor", "St._Johnstone_F.C." ], [ "Rick_Husband", "isCitizenOf", "United_States" ], [ "Rick_Husband", "playsFor", "Aberdeen_F.C." ], [ "Rick_Husband", "playsFor", "St._Johnstone_F.C." ], [ "Rory_Fallon", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Rory_Fallon", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Rory_Fallon", "playsFor", "Aberdeen_F.C." ], [ "Rory_Fallon", "playsFor", "St._Johnstone_F.C." ], [ "Roy_Childs", "isCitizenOf", "United_States" ], [ "Roy_Childs", "playsFor", "Aberdeen_F.C." ], [ "Steve_MacLean_(footballer)", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Steve_MacLean_(footballer)", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Steve_MacLean_(footballer)", "playsFor", "Aberdeen_F.C." ], [ "Steve_MacLean_(footballer)", "playsFor", "St._Johnstone_F.C." ], [ "Steve_Tosh", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Steve_Tosh", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Steve_Tosh", "playsFor", "Aberdeen_F.C." ], [ "Steve_Tosh", "playsFor", "St._Johnstone_F.C." ], [ "Stuart_McCaffrey", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Stuart_McCaffrey", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Stuart_McCaffrey", "playsFor", "Aberdeen_F.C." ], [ "Stuart_McCaffrey", "playsFor", "St._Johnstone_F.C." ], [ "Umesh_Vazirani", "livesIn", "United_States" ], [ "Walker_McCall", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Walker_McCall", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Walker_McCall", "playsFor", "Aberdeen_F.C." ], [ "Walker_McCall", "playsFor", "St._Johnstone_F.C." ], [ "Willie_Falconer", "isAffiliatedTo", "Aberdeen_F.C." ], [ "Willie_Falconer", "isAffiliatedTo", "St._Johnstone_F.C." ], [ "Willie_Falconer", "playsFor", "Aberdeen_F.C." ], [ "Willie_Falconer", "playsFor", "St._Johnstone_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 53332, Augusto_Andaveris 19035, Bolivia_national_football_team 21619, Club_Aurora 50786, Club_Blooming 94956, Club_Bolívar 56328, Club_Deportivo_San_José 103040, Club_Jorge_Wilstermann 2746, Club_Real_Potosí 94742, Club_Universitario 20021, FC_Chornomorets_Odesa 61087, Gustavo_Pinedo 104066, Helmut_Gutiérrez 90321, Héctor_Landazuri 113221, Iván_Castillo 61432, José_Loayza 65320, La_Paz_F.C. 2150, Leonardo_Fernández 41025, Luis_Liendo 105133, Martín_Menacho 4804, Mauricio_Saucedo 57152, Municipal_Real_Mamoré 59408, Nacional_Potosí 82758, Oriente_Petrolero 97807, Raúl_Justiniano 60003, Regis_de_Souza 109835, Richard_Rojas 9907, Roberto_Galindo 75660, Ronald_Arana 96605, Ronald_Gutiérrez 96898, The_Strongest 5994, Tom_Heaton 118104, male src, edge_attr, dst 53332, hasGender, 118104 53332, isAffiliatedTo, 19035 53332, isAffiliatedTo, 21619 53332, isAffiliatedTo, 94956 53332, isAffiliatedTo, 56328 53332, isAffiliatedTo, 103040 53332, isAffiliatedTo, 2746 53332, isAffiliatedTo, 65320 53332, isAffiliatedTo, 57152 53332, isAffiliatedTo, 82758 53332, playsFor, 21619 53332, playsFor, 94956 53332, playsFor, 56328 53332, playsFor, 103040 53332, playsFor, 2746 53332, playsFor, 65320 53332, playsFor, 82758 61087, hasGender, 118104 61087, playsFor, 19035 61087, playsFor, 50786 61087, playsFor, 94742 61087, playsFor, 20021 61087, playsFor, 65320 61087, playsFor, 57152 104066, hasGender, 118104 104066, isAffiliatedTo, 19035 104066, isAffiliatedTo, 2746 104066, isAffiliatedTo, 65320 104066, isAffiliatedTo, 59408 104066, playsFor, 19035 104066, playsFor, 2746 104066, playsFor, 65320 104066, playsFor, 59408 90321, hasGender, 118104 90321, isAffiliatedTo, 65320 90321, playsFor, 65320 113221, hasGender, 118104 113221, isAffiliatedTo, 19035 113221, isAffiliatedTo, 94956 113221, isAffiliatedTo, 65320 113221, isAffiliatedTo, 96898 113221, playsFor, 19035 113221, playsFor, 94956 113221, playsFor, 65320 113221, playsFor, 96898 61432, hasGender, 118104 61432, isAffiliatedTo, 50786 61432, isAffiliatedTo, 65320 61432, isAffiliatedTo, 57152 61432, isAffiliatedTo, 59408 61432, isAffiliatedTo, 82758 61432, playsFor, 19035 61432, playsFor, 50786 61432, playsFor, 103040 61432, playsFor, 2746 61432, playsFor, 94742 61432, playsFor, 65320 61432, playsFor, 57152 61432, playsFor, 59408 61432, playsFor, 82758 2150, hasGender, 118104 2150, isAffiliatedTo, 65320 2150, isAffiliatedTo, 57152 2150, isAffiliatedTo, 82758 2150, playsFor, 19035 2150, playsFor, 82758 41025, hasGender, 118104 41025, isAffiliatedTo, 19035 41025, isAffiliatedTo, 94956 41025, isAffiliatedTo, 94742 41025, isAffiliatedTo, 65320 41025, isAffiliatedTo, 96898 41025, playsFor, 19035 41025, playsFor, 94956 41025, playsFor, 94742 41025, playsFor, 65320 41025, playsFor, 96898 105133, hasGender, 118104 105133, isAffiliatedTo, 19035 105133, isAffiliatedTo, 50786 105133, isAffiliatedTo, 94956 105133, isAffiliatedTo, 103040 105133, isAffiliatedTo, 2746 105133, isAffiliatedTo, 65320 105133, isAffiliatedTo, 59408 105133, isAffiliatedTo, 82758 105133, isAffiliatedTo, 96898 105133, playsFor, 19035 105133, playsFor, 50786 105133, playsFor, 94956 105133, playsFor, 103040 105133, playsFor, 2746 105133, playsFor, 65320 105133, playsFor, 59408 105133, playsFor, 82758 105133, playsFor, 96898 4804, hasGender, 118104 4804, isAffiliatedTo, 65320 4804, playsFor, 19035 4804, playsFor, 94956 4804, playsFor, 56328 4804, playsFor, 94742 4804, playsFor, 20021 4804, playsFor, 65320 4804, playsFor, 82758 4804, playsFor, 96898 97807, hasGender, 118104 97807, isAffiliatedTo, 19035 97807, isAffiliatedTo, 50786 97807, isAffiliatedTo, 94956 97807, isAffiliatedTo, 103040 97807, isAffiliatedTo, 94742 97807, isAffiliatedTo, 65320 97807, isAffiliatedTo, 57152 97807, isAffiliatedTo, 82758 97807, playsFor, 19035 97807, playsFor, 50786 97807, playsFor, 94956 97807, playsFor, 103040 97807, playsFor, 94742 97807, playsFor, 65320 97807, playsFor, 57152 97807, playsFor, 82758 60003, hasGender, 118104 60003, isAffiliatedTo, 56328 60003, isAffiliatedTo, 65320 60003, isAffiliatedTo, 82758 60003, isAffiliatedTo, 96898 60003, playsFor, 56328 60003, playsFor, 65320 60003, playsFor, 82758 60003, playsFor, 96898 109835, hasGender, 118104 109835, isAffiliatedTo, 19035 109835, isAffiliatedTo, 21619 109835, isAffiliatedTo, 56328 109835, isAffiliatedTo, 103040 109835, isAffiliatedTo, 65320 109835, isAffiliatedTo, 96898 109835, playsFor, 19035 109835, playsFor, 21619 109835, playsFor, 56328 109835, playsFor, 96898 9907, hasGender, 118104 9907, playsFor, 19035 9907, playsFor, 21619 9907, playsFor, 50786 9907, playsFor, 103040 9907, playsFor, 94742 9907, playsFor, 65320 9907, playsFor, 59408 9907, playsFor, 82758 9907, playsFor, 96898 75660, hasGender, 118104 75660, isAffiliatedTo, 19035 75660, isAffiliatedTo, 94956 75660, isAffiliatedTo, 65320 75660, isAffiliatedTo, 57152 75660, isAffiliatedTo, 82758 75660, isAffiliatedTo, 96898 75660, playsFor, 19035 75660, playsFor, 94956 75660, playsFor, 65320 75660, playsFor, 57152 75660, playsFor, 82758 75660, playsFor, 96898 96605, hasGender, 118104 96605, isAffiliatedTo, 19035 96605, isAffiliatedTo, 94956 96605, isAffiliatedTo, 65320 96605, isAffiliatedTo, 59408 96605, isAffiliatedTo, 96898 96605, playsFor, 94956 96605, playsFor, 65320 96605, playsFor, 59408 96605, playsFor, 96898 5994, hasGender, 118104 Question: For what reason are La_Paz_F.C. and Tom_Heaton associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "La_Paz_F.C.", "Tom_Heaton" ], "valid_edges": [ [ "Augusto_Andaveris", "hasGender", "male" ], [ "Augusto_Andaveris", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Augusto_Andaveris", "isAffiliatedTo", "Club_Aurora" ], [ "Augusto_Andaveris", "isAffiliatedTo", "Club_Bolívar" ], [ "Augusto_Andaveris", "isAffiliatedTo", "Club_Deportivo_San_José" ], [ "Augusto_Andaveris", "isAffiliatedTo", "Club_Jorge_Wilstermann" ], [ "Augusto_Andaveris", "isAffiliatedTo", "Club_Real_Potosí" ], [ "Augusto_Andaveris", "isAffiliatedTo", "La_Paz_F.C." ], [ "Augusto_Andaveris", "isAffiliatedTo", "Municipal_Real_Mamoré" ], [ "Augusto_Andaveris", "isAffiliatedTo", "Oriente_Petrolero" ], [ "Augusto_Andaveris", "playsFor", "Club_Aurora" ], [ "Augusto_Andaveris", "playsFor", "Club_Bolívar" ], [ "Augusto_Andaveris", "playsFor", "Club_Deportivo_San_José" ], [ "Augusto_Andaveris", "playsFor", "Club_Jorge_Wilstermann" ], [ "Augusto_Andaveris", "playsFor", "Club_Real_Potosí" ], [ "Augusto_Andaveris", "playsFor", "La_Paz_F.C." ], [ "Augusto_Andaveris", "playsFor", "Oriente_Petrolero" ], [ "Gustavo_Pinedo", "hasGender", "male" ], [ "Gustavo_Pinedo", "playsFor", "Bolivia_national_football_team" ], [ "Gustavo_Pinedo", "playsFor", "Club_Blooming" ], [ "Gustavo_Pinedo", "playsFor", "Club_Universitario" ], [ "Gustavo_Pinedo", "playsFor", "FC_Chornomorets_Odesa" ], [ "Gustavo_Pinedo", "playsFor", "La_Paz_F.C." ], [ "Gustavo_Pinedo", "playsFor", "Municipal_Real_Mamoré" ], [ "Helmut_Gutiérrez", "hasGender", "male" ], [ "Helmut_Gutiérrez", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Helmut_Gutiérrez", "isAffiliatedTo", "Club_Real_Potosí" ], [ "Helmut_Gutiérrez", "isAffiliatedTo", "La_Paz_F.C." ], [ "Helmut_Gutiérrez", "isAffiliatedTo", "Nacional_Potosí" ], [ "Helmut_Gutiérrez", "playsFor", "Bolivia_national_football_team" ], [ "Helmut_Gutiérrez", "playsFor", "Club_Real_Potosí" ], [ "Helmut_Gutiérrez", "playsFor", "La_Paz_F.C." ], [ "Helmut_Gutiérrez", "playsFor", "Nacional_Potosí" ], [ "Héctor_Landazuri", "hasGender", "male" ], [ "Héctor_Landazuri", "isAffiliatedTo", "La_Paz_F.C." ], [ "Héctor_Landazuri", "playsFor", "La_Paz_F.C." ], [ "Iván_Castillo", "hasGender", "male" ], [ "Iván_Castillo", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Iván_Castillo", "isAffiliatedTo", "Club_Bolívar" ], [ "Iván_Castillo", "isAffiliatedTo", "La_Paz_F.C." ], [ "Iván_Castillo", "isAffiliatedTo", "The_Strongest" ], [ "Iván_Castillo", "playsFor", "Bolivia_national_football_team" ], [ "Iván_Castillo", "playsFor", "Club_Bolívar" ], [ "Iván_Castillo", "playsFor", "La_Paz_F.C." ], [ "Iván_Castillo", "playsFor", "The_Strongest" ], [ "José_Loayza", "hasGender", "male" ], [ "José_Loayza", "isAffiliatedTo", "Club_Blooming" ], [ "José_Loayza", "isAffiliatedTo", "La_Paz_F.C." ], [ "José_Loayza", "isAffiliatedTo", "Municipal_Real_Mamoré" ], [ "José_Loayza", "isAffiliatedTo", "Nacional_Potosí" ], [ "José_Loayza", "isAffiliatedTo", "Oriente_Petrolero" ], [ "José_Loayza", "playsFor", "Bolivia_national_football_team" ], [ "José_Loayza", "playsFor", "Club_Blooming" ], [ "José_Loayza", "playsFor", "Club_Jorge_Wilstermann" ], [ "José_Loayza", "playsFor", "Club_Real_Potosí" ], [ "José_Loayza", "playsFor", "Club_Universitario" ], [ "José_Loayza", "playsFor", "La_Paz_F.C." ], [ "José_Loayza", "playsFor", "Municipal_Real_Mamoré" ], [ "José_Loayza", "playsFor", "Nacional_Potosí" ], [ "José_Loayza", "playsFor", "Oriente_Petrolero" ], [ "Leonardo_Fernández", "hasGender", "male" ], [ "Leonardo_Fernández", "isAffiliatedTo", "La_Paz_F.C." ], [ "Leonardo_Fernández", "isAffiliatedTo", "Municipal_Real_Mamoré" ], [ "Leonardo_Fernández", "isAffiliatedTo", "Oriente_Petrolero" ], [ "Leonardo_Fernández", "playsFor", "Bolivia_national_football_team" ], [ "Leonardo_Fernández", "playsFor", "Oriente_Petrolero" ], [ "Luis_Liendo", "hasGender", "male" ], [ "Luis_Liendo", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Luis_Liendo", "isAffiliatedTo", "Club_Bolívar" ], [ "Luis_Liendo", "isAffiliatedTo", "Club_Universitario" ], [ "Luis_Liendo", "isAffiliatedTo", "La_Paz_F.C." ], [ "Luis_Liendo", "isAffiliatedTo", "The_Strongest" ], [ "Luis_Liendo", "playsFor", "Bolivia_national_football_team" ], [ "Luis_Liendo", "playsFor", "Club_Bolívar" ], [ "Luis_Liendo", "playsFor", "Club_Universitario" ], [ "Luis_Liendo", "playsFor", "La_Paz_F.C." ], [ "Luis_Liendo", "playsFor", "The_Strongest" ], [ "Martín_Menacho", "hasGender", "male" ], [ "Martín_Menacho", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Martín_Menacho", "isAffiliatedTo", "Club_Blooming" ], [ "Martín_Menacho", "isAffiliatedTo", "Club_Bolívar" ], [ "Martín_Menacho", "isAffiliatedTo", "Club_Jorge_Wilstermann" ], [ "Martín_Menacho", "isAffiliatedTo", "Club_Real_Potosí" ], [ "Martín_Menacho", "isAffiliatedTo", "La_Paz_F.C." ], [ "Martín_Menacho", "isAffiliatedTo", "Nacional_Potosí" ], [ "Martín_Menacho", "isAffiliatedTo", "Oriente_Petrolero" ], [ "Martín_Menacho", "isAffiliatedTo", "The_Strongest" ], [ "Martín_Menacho", "playsFor", "Bolivia_national_football_team" ], [ "Martín_Menacho", "playsFor", "Club_Blooming" ], [ "Martín_Menacho", "playsFor", "Club_Bolívar" ], [ "Martín_Menacho", "playsFor", "Club_Jorge_Wilstermann" ], [ "Martín_Menacho", "playsFor", "Club_Real_Potosí" ], [ "Martín_Menacho", "playsFor", "La_Paz_F.C." ], [ "Martín_Menacho", "playsFor", "Nacional_Potosí" ], [ "Martín_Menacho", "playsFor", "Oriente_Petrolero" ], [ "Martín_Menacho", "playsFor", "The_Strongest" ], [ "Mauricio_Saucedo", "hasGender", "male" ], [ "Mauricio_Saucedo", "isAffiliatedTo", "La_Paz_F.C." ], [ "Mauricio_Saucedo", "playsFor", "Bolivia_national_football_team" ], [ "Mauricio_Saucedo", "playsFor", "Club_Bolívar" ], [ "Mauricio_Saucedo", "playsFor", "Club_Deportivo_San_José" ], [ "Mauricio_Saucedo", "playsFor", "Club_Universitario" ], [ "Mauricio_Saucedo", "playsFor", "FC_Chornomorets_Odesa" ], [ "Mauricio_Saucedo", "playsFor", "La_Paz_F.C." ], [ "Mauricio_Saucedo", "playsFor", "Oriente_Petrolero" ], [ "Mauricio_Saucedo", "playsFor", "The_Strongest" ], [ "Raúl_Justiniano", "hasGender", "male" ], [ "Raúl_Justiniano", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Raúl_Justiniano", "isAffiliatedTo", "Club_Blooming" ], [ "Raúl_Justiniano", "isAffiliatedTo", "Club_Bolívar" ], [ "Raúl_Justiniano", "isAffiliatedTo", "Club_Jorge_Wilstermann" ], [ "Raúl_Justiniano", "isAffiliatedTo", "Club_Universitario" ], [ "Raúl_Justiniano", "isAffiliatedTo", "La_Paz_F.C." ], [ "Raúl_Justiniano", "isAffiliatedTo", "Municipal_Real_Mamoré" ], [ "Raúl_Justiniano", "isAffiliatedTo", "Oriente_Petrolero" ], [ "Raúl_Justiniano", "playsFor", "Bolivia_national_football_team" ], [ "Raúl_Justiniano", "playsFor", "Club_Blooming" ], [ "Raúl_Justiniano", "playsFor", "Club_Bolívar" ], [ "Raúl_Justiniano", "playsFor", "Club_Jorge_Wilstermann" ], [ "Raúl_Justiniano", "playsFor", "Club_Universitario" ], [ "Raúl_Justiniano", "playsFor", "La_Paz_F.C." ], [ "Raúl_Justiniano", "playsFor", "Municipal_Real_Mamoré" ], [ "Raúl_Justiniano", "playsFor", "Oriente_Petrolero" ], [ "Regis_de_Souza", "hasGender", "male" ], [ "Regis_de_Souza", "isAffiliatedTo", "Club_Deportivo_San_José" ], [ "Regis_de_Souza", "isAffiliatedTo", "La_Paz_F.C." ], [ "Regis_de_Souza", "isAffiliatedTo", "Oriente_Petrolero" ], [ "Regis_de_Souza", "isAffiliatedTo", "The_Strongest" ], [ "Regis_de_Souza", "playsFor", "Club_Deportivo_San_José" ], [ "Regis_de_Souza", "playsFor", "La_Paz_F.C." ], [ "Regis_de_Souza", "playsFor", "Oriente_Petrolero" ], [ "Regis_de_Souza", "playsFor", "The_Strongest" ], [ "Richard_Rojas", "hasGender", "male" ], [ "Richard_Rojas", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Richard_Rojas", "isAffiliatedTo", "Club_Aurora" ], [ "Richard_Rojas", "isAffiliatedTo", "Club_Deportivo_San_José" ], [ "Richard_Rojas", "isAffiliatedTo", "Club_Jorge_Wilstermann" ], [ "Richard_Rojas", "isAffiliatedTo", "La_Paz_F.C." ], [ "Richard_Rojas", "isAffiliatedTo", "The_Strongest" ], [ "Richard_Rojas", "playsFor", "Bolivia_national_football_team" ], [ "Richard_Rojas", "playsFor", "Club_Aurora" ], [ "Richard_Rojas", "playsFor", "Club_Deportivo_San_José" ], [ "Richard_Rojas", "playsFor", "The_Strongest" ], [ "Roberto_Galindo", "hasGender", "male" ], [ "Roberto_Galindo", "playsFor", "Bolivia_national_football_team" ], [ "Roberto_Galindo", "playsFor", "Club_Aurora" ], [ "Roberto_Galindo", "playsFor", "Club_Blooming" ], [ "Roberto_Galindo", "playsFor", "Club_Jorge_Wilstermann" ], [ "Roberto_Galindo", "playsFor", "Club_Universitario" ], [ "Roberto_Galindo", "playsFor", "La_Paz_F.C." ], [ "Roberto_Galindo", "playsFor", "Nacional_Potosí" ], [ "Roberto_Galindo", "playsFor", "Oriente_Petrolero" ], [ "Roberto_Galindo", "playsFor", "The_Strongest" ], [ "Ronald_Arana", "hasGender", "male" ], [ "Ronald_Arana", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Ronald_Arana", "isAffiliatedTo", "Club_Bolívar" ], [ "Ronald_Arana", "isAffiliatedTo", "La_Paz_F.C." ], [ "Ronald_Arana", "isAffiliatedTo", "Municipal_Real_Mamoré" ], [ "Ronald_Arana", "isAffiliatedTo", "Oriente_Petrolero" ], [ "Ronald_Arana", "isAffiliatedTo", "The_Strongest" ], [ "Ronald_Arana", "playsFor", "Bolivia_national_football_team" ], [ "Ronald_Arana", "playsFor", "Club_Bolívar" ], [ "Ronald_Arana", "playsFor", "La_Paz_F.C." ], [ "Ronald_Arana", "playsFor", "Municipal_Real_Mamoré" ], [ "Ronald_Arana", "playsFor", "Oriente_Petrolero" ], [ "Ronald_Arana", "playsFor", "The_Strongest" ], [ "Ronald_Gutiérrez", "hasGender", "male" ], [ "Ronald_Gutiérrez", "isAffiliatedTo", "Bolivia_national_football_team" ], [ "Ronald_Gutiérrez", "isAffiliatedTo", "Club_Bolívar" ], [ "Ronald_Gutiérrez", "isAffiliatedTo", "La_Paz_F.C." ], [ "Ronald_Gutiérrez", "isAffiliatedTo", "Nacional_Potosí" ], [ "Ronald_Gutiérrez", "isAffiliatedTo", "The_Strongest" ], [ "Ronald_Gutiérrez", "playsFor", "Club_Bolívar" ], [ "Ronald_Gutiérrez", "playsFor", "La_Paz_F.C." ], [ "Ronald_Gutiérrez", "playsFor", "Nacional_Potosí" ], [ "Ronald_Gutiérrez", "playsFor", "The_Strongest" ], [ "Tom_Heaton", "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 62426, Beaconsfield 72424, Count's_Feud 14679, Edmund_Burke 27950, Immanuel_Kant 435, Prussia src, edge_attr, dst 72424, happenedIn, 435 14679, diedIn, 62426 14679, influences, 27950 27950, isCitizenOf, 435 Question: In what context are Beaconsfield and Count's_Feud connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Beaconsfield", "Count's_Feud" ], "valid_edges": [ [ "Count's_Feud", "happenedIn", "Prussia" ], [ "Edmund_Burke", "diedIn", "Beaconsfield" ], [ "Edmund_Burke", "influences", "Immanuel_Kant" ], [ "Immanuel_Kant", "isCitizenOf", "Prussia" ] ], "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 47521, Anatolie_Doroș 10125, FC_Volga_Ulyanovsk 20953, FC_Zenit_Penza 100198, Mil-Muğan_FK 21110, Sergei_Barkalov src, edge_attr, dst 47521, isAffiliatedTo, 10125 47521, isAffiliatedTo, 100198 47521, playsFor, 10125 47521, playsFor, 100198 21110, playsFor, 10125 21110, playsFor, 20953 Question: In what context are FC_Zenit_Penza and Mil-Muğan_FK connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "FC_Zenit_Penza", "Mil-Muğan_FK" ], "valid_edges": [ [ "Anatolie_Doroș", "isAffiliatedTo", "FC_Volga_Ulyanovsk" ], [ "Anatolie_Doroș", "isAffiliatedTo", "Mil-Muğan_FK" ], [ "Anatolie_Doroș", "playsFor", "FC_Volga_Ulyanovsk" ], [ "Anatolie_Doroș", "playsFor", "Mil-Muğan_FK" ], [ "Sergei_Barkalov", "playsFor", "FC_Volga_Ulyanovsk" ], [ "Sergei_Barkalov", "playsFor", "FC_Zenit_Penza" ] ], "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 94274, Fortuna_Düsseldorf 16898, Huntington,_West_Virginia 17549, Tim_Kruse 29157, United_States 13277, Wesley_Clair_Mitchell src, edge_attr, dst 16898, isLocatedIn, 29157 17549, isAffiliatedTo, 94274 17549, playsFor, 94274 13277, isCitizenOf, 29157 13277, playsFor, 94274 Question: In what context are Huntington,_West_Virginia and Tim_Kruse connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Huntington,_West_Virginia", "Tim_Kruse" ], "valid_edges": [ [ "Huntington,_West_Virginia", "isLocatedIn", "United_States" ], [ "Tim_Kruse", "isAffiliatedTo", "Fortuna_Düsseldorf" ], [ "Tim_Kruse", "playsFor", "Fortuna_Düsseldorf" ], [ "Wesley_Clair_Mitchell", "isCitizenOf", "United_States" ], [ "Wesley_Clair_Mitchell", "playsFor", "Fortuna_Düsseldorf" ] ], "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 49673, Alexandre_Finazzi 107341, Antônio_Rinaldo_Gonçalves 20477, Bruno_Carvalho 78976, C.S._Marítimo 28579, Ceará_(footballer) 83196, Danilo_Dias 106543, Djalma_Henrique_da_Silva 116009, Eric_Freire_Gomes 45436, Gilvan_Santos_Souza 24353, Johnson_Monteiro_Pinto_Macaba 37239, José_Xavier_Costa 8406, Kleyr_Vieira_dos_Santos 104835, Nilson_Corrêa_Júnior 40865, Oguchi_Uche 50084, Otacílio_Jales 98337, Santa_Cruz_Futebol_Clube 94795, Sociedade_Esportiva_do_Gama 80775, Val_Baiano src, edge_attr, dst 49673, isAffiliatedTo, 98337 49673, isAffiliatedTo, 94795 49673, playsFor, 98337 49673, playsFor, 94795 107341, isAffiliatedTo, 78976 107341, isAffiliatedTo, 98337 107341, playsFor, 78976 107341, playsFor, 98337 20477, isAffiliatedTo, 98337 20477, isAffiliatedTo, 94795 20477, playsFor, 98337 20477, playsFor, 94795 28579, isAffiliatedTo, 98337 28579, isAffiliatedTo, 94795 28579, playsFor, 98337 28579, playsFor, 94795 83196, playsFor, 78976 83196, playsFor, 94795 106543, isAffiliatedTo, 98337 106543, isAffiliatedTo, 94795 106543, playsFor, 98337 106543, playsFor, 94795 116009, isAffiliatedTo, 78976 116009, isAffiliatedTo, 98337 116009, playsFor, 78976 116009, playsFor, 98337 45436, isAffiliatedTo, 78976 45436, isAffiliatedTo, 98337 45436, playsFor, 78976 45436, playsFor, 98337 24353, isAffiliatedTo, 98337 24353, isAffiliatedTo, 94795 24353, playsFor, 98337 24353, playsFor, 94795 37239, isAffiliatedTo, 98337 37239, isAffiliatedTo, 94795 37239, playsFor, 98337 37239, playsFor, 94795 8406, isAffiliatedTo, 98337 8406, isAffiliatedTo, 94795 8406, playsFor, 98337 8406, playsFor, 94795 104835, isAffiliatedTo, 98337 104835, isAffiliatedTo, 94795 104835, playsFor, 98337 104835, playsFor, 94795 40865, isAffiliatedTo, 78976 40865, playsFor, 78976 50084, playsFor, 98337 50084, playsFor, 94795 80775, isAffiliatedTo, 98337 80775, isAffiliatedTo, 94795 80775, playsFor, 98337 80775, playsFor, 94795 Question: For what reason are José_Xavier_Costa and Oguchi_Uche associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "José_Xavier_Costa", "Oguchi_Uche" ], "valid_edges": [ [ "Alexandre_Finazzi", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Alexandre_Finazzi", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Alexandre_Finazzi", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Alexandre_Finazzi", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Antônio_Rinaldo_Gonçalves", "isAffiliatedTo", "C.S._Marítimo" ], [ "Antônio_Rinaldo_Gonçalves", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Antônio_Rinaldo_Gonçalves", "playsFor", "C.S._Marítimo" ], [ "Antônio_Rinaldo_Gonçalves", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Bruno_Carvalho", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Bruno_Carvalho", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Bruno_Carvalho", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Bruno_Carvalho", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Ceará_(footballer)", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Ceará_(footballer)", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Ceará_(footballer)", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Ceará_(footballer)", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Danilo_Dias", "playsFor", "C.S._Marítimo" ], [ "Danilo_Dias", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Djalma_Henrique_da_Silva", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Djalma_Henrique_da_Silva", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Djalma_Henrique_da_Silva", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Djalma_Henrique_da_Silva", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Eric_Freire_Gomes", "isAffiliatedTo", "C.S._Marítimo" ], [ "Eric_Freire_Gomes", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Eric_Freire_Gomes", "playsFor", "C.S._Marítimo" ], [ "Eric_Freire_Gomes", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Gilvan_Santos_Souza", "isAffiliatedTo", "C.S._Marítimo" ], [ "Gilvan_Santos_Souza", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Gilvan_Santos_Souza", "playsFor", "C.S._Marítimo" ], [ "Gilvan_Santos_Souza", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Johnson_Monteiro_Pinto_Macaba", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Johnson_Monteiro_Pinto_Macaba", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Johnson_Monteiro_Pinto_Macaba", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Johnson_Monteiro_Pinto_Macaba", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "José_Xavier_Costa", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "José_Xavier_Costa", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "José_Xavier_Costa", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "José_Xavier_Costa", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Kleyr_Vieira_dos_Santos", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Kleyr_Vieira_dos_Santos", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Kleyr_Vieira_dos_Santos", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Kleyr_Vieira_dos_Santos", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Nilson_Corrêa_Júnior", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Nilson_Corrêa_Júnior", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Nilson_Corrêa_Júnior", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Nilson_Corrêa_Júnior", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Oguchi_Uche", "isAffiliatedTo", "C.S._Marítimo" ], [ "Oguchi_Uche", "playsFor", "C.S._Marítimo" ], [ "Otacílio_Jales", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Otacílio_Jales", "playsFor", "Sociedade_Esportiva_do_Gama" ], [ "Val_Baiano", "isAffiliatedTo", "Santa_Cruz_Futebol_Clube" ], [ "Val_Baiano", "isAffiliatedTo", "Sociedade_Esportiva_do_Gama" ], [ "Val_Baiano", "playsFor", "Santa_Cruz_Futebol_Clube" ], [ "Val_Baiano", "playsFor", "Sociedade_Esportiva_do_Gama" ] ], "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 34271, Christopher_Guest 21976, E._C._Segar 46395, Never_Say_Never_Again 41283, Santa_Monica,_California 100654, United_Kingdom src, edge_attr, dst 34271, isCitizenOf, 100654 34271, livesIn, 41283 21976, diedIn, 41283 46395, isLocatedIn, 100654 Question: How are E._C._Segar and Never_Say_Never_Again related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "E._C._Segar", "Never_Say_Never_Again" ], "valid_edges": [ [ "Christopher_Guest", "isCitizenOf", "United_Kingdom" ], [ "Christopher_Guest", "livesIn", "Santa_Monica,_California" ], [ "E._C._Segar", "diedIn", "Santa_Monica,_California" ], [ "Never_Say_Never_Again", "isLocatedIn", "United_Kingdom" ] ], "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 66969, Aleksandar_Railić 89819, Bekim_Kapić 67953, Darko_Karapetrovič 85496, Eldin_Adilović 90124, Enosis_Neon_Paralimni_FC 65766, FC_Koper 119056, Iriney 6770, Ivančna_Gorica 103555, Jan_Pahor 13239, Janez_Zavrl_(footballer) 84196, Koper 111731, Ljubljana 47683, Marko_Božič 43921, Marko_Lunder 12221, ND_Gorica 10208, NK_Bela_Krajina 99474, NK_Celje 76131, NK_Domžale 61997, NK_Ivančna_Gorica 89072, NK_Krka 116904, NK_Krško 99134, NK_Mura 1853, NK_Nafta_Lendava 49098, NK_Primorje 42510, NK_Radomlje 91817, Patrik_Ipavec 24280, Slaviša_Dvorančič 65726, Slovenia_national_football_team 119707, Slovenia_national_under-21_football_team 3470, Tim_Lo_Duca 106523, Zoran_Zeljković 118104, male src, edge_attr, dst 66969, hasGender, 118104 66969, isAffiliatedTo, 61997 66969, isAffiliatedTo, 116904 66969, playsFor, 61997 66969, playsFor, 116904 89819, hasGender, 118104 89819, isAffiliatedTo, 90124 89819, isAffiliatedTo, 65766 89819, isAffiliatedTo, 99474 89819, isAffiliatedTo, 61997 89819, isAffiliatedTo, 99134 89819, isAffiliatedTo, 65726 89819, playsFor, 90124 89819, playsFor, 65766 89819, playsFor, 99474 89819, playsFor, 61997 89819, playsFor, 99134 67953, hasGender, 118104 67953, isAffiliatedTo, 10208 67953, isAffiliatedTo, 76131 67953, isAffiliatedTo, 61997 67953, isAffiliatedTo, 116904 67953, isAffiliatedTo, 42510 67953, isAffiliatedTo, 119707 67953, playsFor, 10208 67953, playsFor, 76131 67953, playsFor, 61997 67953, playsFor, 116904 67953, playsFor, 42510 67953, wasBornIn, 111731 85496, isAffiliatedTo, 1853 85496, playsFor, 61997 85496, playsFor, 1853 119056, hasGender, 118104 6770, isLocatedIn, 111731 103555, hasGender, 118104 103555, isAffiliatedTo, 65766 103555, isAffiliatedTo, 12221 103555, isAffiliatedTo, 61997 103555, isAffiliatedTo, 119707 103555, playsFor, 65766 103555, playsFor, 12221 103555, playsFor, 61997 103555, playsFor, 119707 103555, wasBornIn, 84196 13239, hasGender, 118104 13239, isAffiliatedTo, 99474 13239, isAffiliatedTo, 76131 13239, isAffiliatedTo, 61997 13239, isAffiliatedTo, 42510 13239, isAffiliatedTo, 65726 13239, isAffiliatedTo, 119707 13239, playsFor, 99474 13239, playsFor, 76131 13239, playsFor, 61997 13239, playsFor, 42510 13239, playsFor, 65726 13239, wasBornIn, 111731 47683, hasGender, 118104 47683, isAffiliatedTo, 65766 47683, isAffiliatedTo, 76131 47683, isAffiliatedTo, 61997 47683, isAffiliatedTo, 99134 47683, isAffiliatedTo, 119707 47683, playsFor, 65766 47683, playsFor, 76131 47683, playsFor, 61997 47683, playsFor, 99134 47683, playsFor, 119707 47683, wasBornIn, 84196 43921, hasGender, 118104 43921, isAffiliatedTo, 76131 43921, isAffiliatedTo, 61997 43921, isAffiliatedTo, 42510 43921, isAffiliatedTo, 119707 43921, playsFor, 76131 43921, playsFor, 61997 43921, playsFor, 42510 43921, playsFor, 119707 43921, wasBornIn, 111731 61997, isLocatedIn, 6770 91817, hasGender, 118104 91817, isAffiliatedTo, 90124 91817, isAffiliatedTo, 65766 91817, isAffiliatedTo, 12221 91817, isAffiliatedTo, 61997 91817, isAffiliatedTo, 99134 91817, isAffiliatedTo, 49098 91817, isAffiliatedTo, 65726 91817, playsFor, 90124 91817, playsFor, 65766 91817, playsFor, 12221 91817, playsFor, 61997 91817, playsFor, 99134 91817, playsFor, 49098 24280, hasGender, 118104 24280, isAffiliatedTo, 10208 24280, isAffiliatedTo, 99474 24280, isAffiliatedTo, 76131 24280, isAffiliatedTo, 61997 24280, isAffiliatedTo, 89072 24280, isAffiliatedTo, 116904 24280, isAffiliatedTo, 1853 24280, playsFor, 10208 24280, playsFor, 99474 24280, playsFor, 76131 24280, playsFor, 61997 24280, playsFor, 89072 24280, playsFor, 116904 24280, playsFor, 1853 3470, hasGender, 118104 3470, isAffiliatedTo, 76131 3470, isAffiliatedTo, 61997 3470, isAffiliatedTo, 1853 3470, isAffiliatedTo, 49098 3470, playsFor, 76131 3470, playsFor, 61997 3470, playsFor, 1853 3470, playsFor, 49098 106523, hasGender, 118104 106523, isAffiliatedTo, 76131 106523, isAffiliatedTo, 61997 106523, isAffiliatedTo, 89072 106523, isAffiliatedTo, 65726 106523, playsFor, 76131 106523, playsFor, 61997 106523, playsFor, 89072 106523, playsFor, 65726 106523, wasBornIn, 111731 Question: How are Iriney and NK_Ivančna_Gorica related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Iriney", "NK_Ivančna_Gorica" ], "valid_edges": [ [ "Aleksandar_Railić", "hasGender", "male" ], [ "Aleksandar_Railić", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Aleksandar_Railić", "isAffiliatedTo", "NK_Krško" ], [ "Aleksandar_Railić", "playsFor", "NK_Ivančna_Gorica" ], [ "Aleksandar_Railić", "playsFor", "NK_Krško" ], [ "Bekim_Kapić", "hasGender", "male" ], [ "Bekim_Kapić", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Bekim_Kapić", "isAffiliatedTo", "FC_Koper" ], [ "Bekim_Kapić", "isAffiliatedTo", "NK_Celje" ], [ "Bekim_Kapić", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Bekim_Kapić", "isAffiliatedTo", "NK_Mura" ], [ "Bekim_Kapić", "isAffiliatedTo", "Slovenia_national_football_team" ], [ "Bekim_Kapić", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Bekim_Kapić", "playsFor", "FC_Koper" ], [ "Bekim_Kapić", "playsFor", "NK_Celje" ], [ "Bekim_Kapić", "playsFor", "NK_Ivančna_Gorica" ], [ "Bekim_Kapić", "playsFor", "NK_Mura" ], [ "Darko_Karapetrovič", "hasGender", "male" ], [ "Darko_Karapetrovič", "isAffiliatedTo", "NK_Bela_Krajina" ], [ "Darko_Karapetrovič", "isAffiliatedTo", "NK_Domžale" ], [ "Darko_Karapetrovič", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Darko_Karapetrovič", "isAffiliatedTo", "NK_Krško" ], [ "Darko_Karapetrovič", "isAffiliatedTo", "NK_Radomlje" ], [ "Darko_Karapetrovič", "isAffiliatedTo", "Slovenia_national_under-21_football_team" ], [ "Darko_Karapetrovič", "playsFor", "NK_Bela_Krajina" ], [ "Darko_Karapetrovič", "playsFor", "NK_Domžale" ], [ "Darko_Karapetrovič", "playsFor", "NK_Ivančna_Gorica" ], [ "Darko_Karapetrovič", "playsFor", "NK_Krško" ], [ "Darko_Karapetrovič", "playsFor", "NK_Radomlje" ], [ "Darko_Karapetrovič", "wasBornIn", "Ljubljana" ], [ "Eldin_Adilović", "isAffiliatedTo", "NK_Nafta_Lendava" ], [ "Eldin_Adilović", "playsFor", "NK_Ivančna_Gorica" ], [ "Eldin_Adilović", "playsFor", "NK_Nafta_Lendava" ], [ "Iriney", "hasGender", "male" ], [ "Ivančna_Gorica", "isLocatedIn", "Ljubljana" ], [ "Jan_Pahor", "hasGender", "male" ], [ "Jan_Pahor", "isAffiliatedTo", "FC_Koper" ], [ "Jan_Pahor", "isAffiliatedTo", "ND_Gorica" ], [ "Jan_Pahor", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Jan_Pahor", "isAffiliatedTo", "Slovenia_national_under-21_football_team" ], [ "Jan_Pahor", "playsFor", "FC_Koper" ], [ "Jan_Pahor", "playsFor", "ND_Gorica" ], [ "Jan_Pahor", "playsFor", "NK_Ivančna_Gorica" ], [ "Jan_Pahor", "playsFor", "Slovenia_national_under-21_football_team" ], [ "Jan_Pahor", "wasBornIn", "Koper" ], [ "Janez_Zavrl_(footballer)", "hasGender", "male" ], [ "Janez_Zavrl_(footballer)", "isAffiliatedTo", "NK_Celje" ], [ "Janez_Zavrl_(footballer)", "isAffiliatedTo", "NK_Domžale" ], [ "Janez_Zavrl_(footballer)", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Janez_Zavrl_(footballer)", "isAffiliatedTo", "NK_Radomlje" ], [ "Janez_Zavrl_(footballer)", "isAffiliatedTo", "Slovenia_national_football_team" ], [ "Janez_Zavrl_(footballer)", "isAffiliatedTo", "Slovenia_national_under-21_football_team" ], [ "Janez_Zavrl_(footballer)", "playsFor", "NK_Celje" ], [ "Janez_Zavrl_(footballer)", "playsFor", "NK_Domžale" ], [ "Janez_Zavrl_(footballer)", "playsFor", "NK_Ivančna_Gorica" ], [ "Janez_Zavrl_(footballer)", "playsFor", "NK_Radomlje" ], [ "Janez_Zavrl_(footballer)", "playsFor", "Slovenia_national_football_team" ], [ "Janez_Zavrl_(footballer)", "wasBornIn", "Ljubljana" ], [ "Marko_Božič", "hasGender", "male" ], [ "Marko_Božič", "isAffiliatedTo", "FC_Koper" ], [ "Marko_Božič", "isAffiliatedTo", "NK_Domžale" ], [ "Marko_Božič", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Marko_Božič", "isAffiliatedTo", "NK_Mura" ], [ "Marko_Božič", "isAffiliatedTo", "Slovenia_national_under-21_football_team" ], [ "Marko_Božič", "playsFor", "FC_Koper" ], [ "Marko_Božič", "playsFor", "NK_Domžale" ], [ "Marko_Božič", "playsFor", "NK_Ivančna_Gorica" ], [ "Marko_Božič", "playsFor", "NK_Mura" ], [ "Marko_Božič", "playsFor", "Slovenia_national_under-21_football_team" ], [ "Marko_Božič", "wasBornIn", "Koper" ], [ "Marko_Lunder", "hasGender", "male" ], [ "Marko_Lunder", "isAffiliatedTo", "NK_Domžale" ], [ "Marko_Lunder", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Marko_Lunder", "isAffiliatedTo", "NK_Radomlje" ], [ "Marko_Lunder", "isAffiliatedTo", "Slovenia_national_under-21_football_team" ], [ "Marko_Lunder", "playsFor", "NK_Domžale" ], [ "Marko_Lunder", "playsFor", "NK_Ivančna_Gorica" ], [ "Marko_Lunder", "playsFor", "NK_Radomlje" ], [ "Marko_Lunder", "playsFor", "Slovenia_national_under-21_football_team" ], [ "Marko_Lunder", "wasBornIn", "Ljubljana" ], [ "NK_Ivančna_Gorica", "isLocatedIn", "Ivančna_Gorica" ], [ "Patrik_Ipavec", "hasGender", "male" ], [ "Patrik_Ipavec", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Patrik_Ipavec", "isAffiliatedTo", "FC_Koper" ], [ "Patrik_Ipavec", "isAffiliatedTo", "ND_Gorica" ], [ "Patrik_Ipavec", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Patrik_Ipavec", "isAffiliatedTo", "NK_Mura" ], [ "Patrik_Ipavec", "isAffiliatedTo", "NK_Primorje" ], [ "Patrik_Ipavec", "isAffiliatedTo", "Slovenia_national_football_team" ], [ "Patrik_Ipavec", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Patrik_Ipavec", "playsFor", "FC_Koper" ], [ "Patrik_Ipavec", "playsFor", "ND_Gorica" ], [ "Patrik_Ipavec", "playsFor", "NK_Ivančna_Gorica" ], [ "Patrik_Ipavec", "playsFor", "NK_Mura" ], [ "Patrik_Ipavec", "playsFor", "NK_Primorje" ], [ "Slaviša_Dvorančič", "hasGender", "male" ], [ "Slaviša_Dvorančič", "isAffiliatedTo", "NK_Bela_Krajina" ], [ "Slaviša_Dvorančič", "isAffiliatedTo", "NK_Celje" ], [ "Slaviša_Dvorančič", "isAffiliatedTo", "NK_Domžale" ], [ "Slaviša_Dvorančič", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Slaviša_Dvorančič", "isAffiliatedTo", "NK_Krka" ], [ "Slaviša_Dvorančič", "isAffiliatedTo", "NK_Krško" ], [ "Slaviša_Dvorančič", "isAffiliatedTo", "NK_Nafta_Lendava" ], [ "Slaviša_Dvorančič", "playsFor", "NK_Bela_Krajina" ], [ "Slaviša_Dvorančič", "playsFor", "NK_Celje" ], [ "Slaviša_Dvorančič", "playsFor", "NK_Domžale" ], [ "Slaviša_Dvorančič", "playsFor", "NK_Ivančna_Gorica" ], [ "Slaviša_Dvorančič", "playsFor", "NK_Krka" ], [ "Slaviša_Dvorančič", "playsFor", "NK_Krško" ], [ "Slaviša_Dvorančič", "playsFor", "NK_Nafta_Lendava" ], [ "Tim_Lo_Duca", "hasGender", "male" ], [ "Tim_Lo_Duca", "isAffiliatedTo", "NK_Domžale" ], [ "Tim_Lo_Duca", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Tim_Lo_Duca", "isAffiliatedTo", "NK_Nafta_Lendava" ], [ "Tim_Lo_Duca", "isAffiliatedTo", "NK_Primorje" ], [ "Tim_Lo_Duca", "playsFor", "NK_Domžale" ], [ "Tim_Lo_Duca", "playsFor", "NK_Ivančna_Gorica" ], [ "Tim_Lo_Duca", "playsFor", "NK_Nafta_Lendava" ], [ "Tim_Lo_Duca", "playsFor", "NK_Primorje" ], [ "Zoran_Zeljković", "hasGender", "male" ], [ "Zoran_Zeljković", "isAffiliatedTo", "NK_Domžale" ], [ "Zoran_Zeljković", "isAffiliatedTo", "NK_Ivančna_Gorica" ], [ "Zoran_Zeljković", "isAffiliatedTo", "NK_Krka" ], [ "Zoran_Zeljković", "isAffiliatedTo", "Slovenia_national_football_team" ], [ "Zoran_Zeljković", "playsFor", "NK_Domžale" ], [ "Zoran_Zeljković", "playsFor", "NK_Ivančna_Gorica" ], [ "Zoran_Zeljković", "playsFor", "NK_Krka" ], [ "Zoran_Zeljković", "playsFor", "Slovenia_national_football_team" ], [ "Zoran_Zeljković", "wasBornIn", "Ljubljana" ] ], "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 59487, Andriy_Rad 97613, Chifeng 45863, China 22096, Lviv 86319, Ukraine src, edge_attr, dst 59487, wasBornIn, 22096 97613, isLocatedIn, 45863 22096, isLocatedIn, 86319 86319, dealsWith, 45863 Question: In what context are Andriy_Rad and Chifeng connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Andriy_Rad", "Chifeng" ], "valid_edges": [ [ "Andriy_Rad", "wasBornIn", "Lviv" ], [ "Chifeng", "isLocatedIn", "China" ], [ "Lviv", "isLocatedIn", "Ukraine" ], [ "Ukraine", "dealsWith", "China" ] ], "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 78789, Delémont 60369, Delémont_District 32248, Fabrice_Borer 95488, Jimmy_McIntyre 118104, male src, edge_attr, dst 78789, isLocatedIn, 60369 60369, isLocatedIn, 78789 32248, hasGender, 118104 32248, wasBornIn, 78789 95488, hasGender, 118104 Question: In what context are Delémont_District and Jimmy_McIntyre connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Delémont_District", "Jimmy_McIntyre" ], "valid_edges": [ [ "Delémont", "isLocatedIn", "Delémont_District" ], [ "Delémont_District", "isLocatedIn", "Delémont" ], [ "Fabrice_Borer", "hasGender", "male" ], [ "Fabrice_Borer", "wasBornIn", "Delémont" ], [ "Jimmy_McIntyre", "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 60595, Ennio_Morricone 36799, Michelangelo 14874, Orca_(film) 51063, Robert_Carradine 7578, Rome 41812, Sergio_Donati src, edge_attr, dst 60595, wasBornIn, 7578 60595, wroteMusicFor, 14874 36799, diedIn, 7578 51063, actedIn, 14874 41812, created, 14874 41812, wasBornIn, 7578 Question: How are Michelangelo and Robert_Carradine related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Michelangelo", "Robert_Carradine" ], "valid_edges": [ [ "Ennio_Morricone", "wasBornIn", "Rome" ], [ "Ennio_Morricone", "wroteMusicFor", "Orca_(film)" ], [ "Michelangelo", "diedIn", "Rome" ], [ "Robert_Carradine", "actedIn", "Orca_(film)" ], [ "Sergio_Donati", "created", "Orca_(film)" ], [ "Sergio_Donati", "wasBornIn", "Rome" ] ], "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 98060, Alec_Empire 34669, Alice_Cooper 74428, Angus_Young 94098, Dave_Mustaine 37207, Frank_Turner 90607, Green_Day 73165, Iggy_Pop 116184, Jimmy_Page 80467, Kerrang!_Awards 71123, Louis_C.K. 70100, Nassim_Ben_Khalifa 22368, Ozzy_Osbourne 58235, Paul_Gray_(American_musician) 25875, Pitchshifter 98401, Ronnie_James_Dio 66152, Slash_(musician) 11093, Tenacious_D 20212, The_Hellacopters 26247, The_Prodigy 104507, The_Wildhearts 102495, Thirty_Seconds_to_Mars 117742, Trent_Reznor 37499, Turbonegro 118104, male src, edge_attr, dst 98060, hasGender, 118104 98060, hasWonPrize, 80467 34669, hasGender, 118104 34669, hasWonPrize, 80467 74428, hasGender, 118104 74428, hasWonPrize, 80467 94098, hasGender, 118104 94098, hasWonPrize, 80467 37207, hasGender, 118104 37207, hasWonPrize, 80467 90607, hasWonPrize, 80467 73165, hasGender, 118104 73165, hasWonPrize, 80467 116184, hasGender, 118104 116184, hasWonPrize, 80467 71123, hasGender, 118104 71123, hasWonPrize, 80467 70100, hasGender, 118104 22368, hasGender, 118104 22368, hasWonPrize, 80467 58235, hasGender, 118104 58235, hasWonPrize, 80467 25875, hasGender, 118104 25875, hasWonPrize, 80467 98401, hasGender, 118104 98401, hasWonPrize, 80467 66152, hasGender, 118104 66152, hasWonPrize, 80467 11093, hasGender, 118104 11093, hasWonPrize, 80467 20212, hasGender, 118104 20212, hasWonPrize, 80467 26247, hasGender, 118104 26247, hasWonPrize, 80467 104507, hasGender, 118104 104507, hasWonPrize, 80467 102495, hasGender, 118104 102495, hasWonPrize, 80467 117742, hasGender, 118104 117742, hasWonPrize, 80467 37499, hasGender, 118104 37499, hasWonPrize, 80467 Question: For what reason are Green_Day and Nassim_Ben_Khalifa associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Green_Day", "Nassim_Ben_Khalifa" ], "valid_edges": [ [ "Alec_Empire", "hasGender", "male" ], [ "Alec_Empire", "hasWonPrize", "Kerrang!_Awards" ], [ "Alice_Cooper", "hasGender", "male" ], [ "Alice_Cooper", "hasWonPrize", "Kerrang!_Awards" ], [ "Angus_Young", "hasGender", "male" ], [ "Angus_Young", "hasWonPrize", "Kerrang!_Awards" ], [ "Dave_Mustaine", "hasGender", "male" ], [ "Dave_Mustaine", "hasWonPrize", "Kerrang!_Awards" ], [ "Frank_Turner", "hasGender", "male" ], [ "Frank_Turner", "hasWonPrize", "Kerrang!_Awards" ], [ "Green_Day", "hasWonPrize", "Kerrang!_Awards" ], [ "Iggy_Pop", "hasGender", "male" ], [ "Iggy_Pop", "hasWonPrize", "Kerrang!_Awards" ], [ "Jimmy_Page", "hasGender", "male" ], [ "Jimmy_Page", "hasWonPrize", "Kerrang!_Awards" ], [ "Louis_C.K.", "hasGender", "male" ], [ "Louis_C.K.", "hasWonPrize", "Kerrang!_Awards" ], [ "Nassim_Ben_Khalifa", "hasGender", "male" ], [ "Ozzy_Osbourne", "hasGender", "male" ], [ "Ozzy_Osbourne", "hasWonPrize", "Kerrang!_Awards" ], [ "Paul_Gray_(American_musician)", "hasGender", "male" ], [ "Paul_Gray_(American_musician)", "hasWonPrize", "Kerrang!_Awards" ], [ "Pitchshifter", "hasGender", "male" ], [ "Pitchshifter", "hasWonPrize", "Kerrang!_Awards" ], [ "Ronnie_James_Dio", "hasGender", "male" ], [ "Ronnie_James_Dio", "hasWonPrize", "Kerrang!_Awards" ], [ "Slash_(musician)", "hasGender", "male" ], [ "Slash_(musician)", "hasWonPrize", "Kerrang!_Awards" ], [ "Tenacious_D", "hasGender", "male" ], [ "Tenacious_D", "hasWonPrize", "Kerrang!_Awards" ], [ "The_Hellacopters", "hasGender", "male" ], [ "The_Hellacopters", "hasWonPrize", "Kerrang!_Awards" ], [ "The_Prodigy", "hasGender", "male" ], [ "The_Prodigy", "hasWonPrize", "Kerrang!_Awards" ], [ "The_Wildhearts", "hasGender", "male" ], [ "The_Wildhearts", "hasWonPrize", "Kerrang!_Awards" ], [ "Thirty_Seconds_to_Mars", "hasGender", "male" ], [ "Thirty_Seconds_to_Mars", "hasWonPrize", "Kerrang!_Awards" ], [ "Trent_Reznor", "hasGender", "male" ], [ "Trent_Reznor", "hasWonPrize", "Kerrang!_Awards" ], [ "Turbonegro", "hasGender", "male" ], [ "Turbonegro", "hasWonPrize", "Kerrang!_Awards" ] ], "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 60452, Amica_Wronki 76221, Gmina_Jeżów 24040, Jacek_Ziober 30989, Michał_Stasiak 23925, Pabianice 14630, Paweł_Janas 35742, Zduńska_Wola 86080, Łódź 77539, Łódź_Voivodeship src, edge_attr, dst 76221, isLocatedIn, 77539 24040, isAffiliatedTo, 60452 24040, playsFor, 60452 24040, wasBornIn, 86080 30989, isAffiliatedTo, 60452 30989, playsFor, 60452 30989, wasBornIn, 35742 23925, isLocatedIn, 77539 14630, isAffiliatedTo, 60452 14630, wasBornIn, 23925 35742, isLocatedIn, 77539 86080, isLocatedIn, 77539 Question: In what context are Amica_Wronki and Gmina_Jeżów connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Amica_Wronki", "Gmina_Jeżów" ], "valid_edges": [ [ "Gmina_Jeżów", "isLocatedIn", "Łódź_Voivodeship" ], [ "Jacek_Ziober", "isAffiliatedTo", "Amica_Wronki" ], [ "Jacek_Ziober", "playsFor", "Amica_Wronki" ], [ "Jacek_Ziober", "wasBornIn", "Łódź" ], [ "Michał_Stasiak", "isAffiliatedTo", "Amica_Wronki" ], [ "Michał_Stasiak", "playsFor", "Amica_Wronki" ], [ "Michał_Stasiak", "wasBornIn", "Zduńska_Wola" ], [ "Pabianice", "isLocatedIn", "Łódź_Voivodeship" ], [ "Paweł_Janas", "isAffiliatedTo", "Amica_Wronki" ], [ "Paweł_Janas", "wasBornIn", "Pabianice" ], [ "Zduńska_Wola", "isLocatedIn", "Łódź_Voivodeship" ], [ "Łódź", "isLocatedIn", "Łódź_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 1738, Alanzinho 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 1738, 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 Alanzinho and Potters_Bar_Town_F.C. connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Alanzinho", "Potters_Bar_Town_F.C." ], "valid_edges": [ [ "Alanzinho", "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 104861, Bobby_Shantz 105003, Boston_Red_Sox 12237, Buster_Posey 23248, Dave_Parker 67804, Ichiro_Suzuki 45218, Iván_Rodríguez 46432, Jason_Giambi 65092, Joe_DiMaggio 112793, Kevin_Mitchell_(baseball) 97083, Major_League_Baseball_Comeback_Player_of_the_Year_Award 9470, Major_League_Baseball_Most_Valuable_Player_Award 83661, Major_League_Baseball_Rookie_of_the_Year_Award 105508, Miguel_Tejada 7802, New_York_Yankees 83246, Oakland_Athletics 5509, Orlando_Cepeda 76331, Pittsburgh_Pirates 115660, Rickey_Henderson 64514, San_Diego_Padres 23906, San_Francisco_Giants 29293, Seattle_Mariners 43181, Silver_Slugger_Award 34363, Stanley_Bruce 12475, Ted_Williams 36730, Toronto_Blue_Jays 53022, Zoilo_Versalles 118104, male src, edge_attr, dst 104861, hasGender, 118104 104861, hasWonPrize, 9470 104861, isAffiliatedTo, 7802 104861, isAffiliatedTo, 83246 104861, isAffiliatedTo, 76331 12237, hasGender, 118104 12237, hasWonPrize, 97083 12237, hasWonPrize, 9470 12237, hasWonPrize, 83661 12237, hasWonPrize, 43181 12237, isAffiliatedTo, 23906 23248, hasGender, 118104 23248, hasWonPrize, 9470 23248, isAffiliatedTo, 7802 23248, isAffiliatedTo, 83246 23248, isAffiliatedTo, 76331 23248, isAffiliatedTo, 36730 67804, hasGender, 118104 67804, hasWonPrize, 9470 67804, hasWonPrize, 83661 67804, hasWonPrize, 43181 67804, isAffiliatedTo, 7802 67804, isAffiliatedTo, 29293 45218, hasGender, 118104 45218, hasWonPrize, 9470 45218, hasWonPrize, 43181 45218, isAffiliatedTo, 7802 46432, hasGender, 118104 46432, hasWonPrize, 97083 46432, hasWonPrize, 9470 46432, hasWonPrize, 43181 46432, isAffiliatedTo, 7802 46432, isAffiliatedTo, 83246 65092, hasGender, 118104 65092, hasWonPrize, 9470 65092, isAffiliatedTo, 7802 112793, hasGender, 118104 112793, hasWonPrize, 9470 112793, isAffiliatedTo, 105003 112793, isAffiliatedTo, 83246 112793, isAffiliatedTo, 64514 112793, isAffiliatedTo, 23906 112793, isAffiliatedTo, 29293 105508, hasGender, 118104 105508, hasWonPrize, 9470 105508, hasWonPrize, 43181 105508, isAffiliatedTo, 83246 105508, isAffiliatedTo, 64514 105508, isAffiliatedTo, 23906 5509, hasGender, 118104 5509, hasWonPrize, 9470 5509, hasWonPrize, 83661 5509, isAffiliatedTo, 105003 5509, isAffiliatedTo, 83246 5509, isAffiliatedTo, 23906 115660, hasGender, 118104 115660, hasWonPrize, 9470 115660, isAffiliatedTo, 105003 115660, isAffiliatedTo, 7802 115660, isAffiliatedTo, 83246 115660, isAffiliatedTo, 64514 115660, isAffiliatedTo, 29293 115660, isAffiliatedTo, 36730 64514, hasGender, 118104 34363, hasGender, 118104 12475, hasGender, 118104 12475, hasWonPrize, 9470 12475, isAffiliatedTo, 105003 53022, hasGender, 118104 53022, hasWonPrize, 9470 Question: For what reason are Major_League_Baseball_Most_Valuable_Player_Award and Stanley_Bruce associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Major_League_Baseball_Most_Valuable_Player_Award", "Stanley_Bruce" ], "valid_edges": [ [ "Bobby_Shantz", "hasGender", "male" ], [ "Bobby_Shantz", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Bobby_Shantz", "isAffiliatedTo", "New_York_Yankees" ], [ "Bobby_Shantz", "isAffiliatedTo", "Oakland_Athletics" ], [ "Bobby_Shantz", "isAffiliatedTo", "Pittsburgh_Pirates" ], [ "Buster_Posey", "hasGender", "male" ], [ "Buster_Posey", "hasWonPrize", "Major_League_Baseball_Comeback_Player_of_the_Year_Award" ], [ "Buster_Posey", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Buster_Posey", "hasWonPrize", "Major_League_Baseball_Rookie_of_the_Year_Award" ], [ "Buster_Posey", "hasWonPrize", "Silver_Slugger_Award" ], [ "Buster_Posey", "isAffiliatedTo", "San_Francisco_Giants" ], [ "Dave_Parker", "hasGender", "male" ], [ "Dave_Parker", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Dave_Parker", "isAffiliatedTo", "New_York_Yankees" ], [ "Dave_Parker", "isAffiliatedTo", "Oakland_Athletics" ], [ "Dave_Parker", "isAffiliatedTo", "Pittsburgh_Pirates" ], [ "Dave_Parker", "isAffiliatedTo", "Toronto_Blue_Jays" ], [ "Ichiro_Suzuki", "hasGender", "male" ], [ "Ichiro_Suzuki", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Ichiro_Suzuki", "hasWonPrize", "Major_League_Baseball_Rookie_of_the_Year_Award" ], [ "Ichiro_Suzuki", "hasWonPrize", "Silver_Slugger_Award" ], [ "Ichiro_Suzuki", "isAffiliatedTo", "New_York_Yankees" ], [ "Ichiro_Suzuki", "isAffiliatedTo", "Seattle_Mariners" ], [ "Iván_Rodríguez", "hasGender", "male" ], [ "Iván_Rodríguez", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Iván_Rodríguez", "hasWonPrize", "Silver_Slugger_Award" ], [ "Iván_Rodríguez", "isAffiliatedTo", "New_York_Yankees" ], [ "Jason_Giambi", "hasGender", "male" ], [ "Jason_Giambi", "hasWonPrize", "Major_League_Baseball_Comeback_Player_of_the_Year_Award" ], [ "Jason_Giambi", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Jason_Giambi", "hasWonPrize", "Silver_Slugger_Award" ], [ "Jason_Giambi", "isAffiliatedTo", "New_York_Yankees" ], [ "Jason_Giambi", "isAffiliatedTo", "Oakland_Athletics" ], [ "Joe_DiMaggio", "hasGender", "male" ], [ "Joe_DiMaggio", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Joe_DiMaggio", "isAffiliatedTo", "New_York_Yankees" ], [ "Kevin_Mitchell_(baseball)", "hasGender", "male" ], [ "Kevin_Mitchell_(baseball)", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Kevin_Mitchell_(baseball)", "isAffiliatedTo", "Boston_Red_Sox" ], [ "Kevin_Mitchell_(baseball)", "isAffiliatedTo", "Oakland_Athletics" ], [ "Kevin_Mitchell_(baseball)", "isAffiliatedTo", "San_Diego_Padres" ], [ "Kevin_Mitchell_(baseball)", "isAffiliatedTo", "San_Francisco_Giants" ], [ "Kevin_Mitchell_(baseball)", "isAffiliatedTo", "Seattle_Mariners" ], [ "Miguel_Tejada", "hasGender", "male" ], [ "Miguel_Tejada", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Miguel_Tejada", "hasWonPrize", "Silver_Slugger_Award" ], [ "Miguel_Tejada", "isAffiliatedTo", "Oakland_Athletics" ], [ "Miguel_Tejada", "isAffiliatedTo", "San_Diego_Padres" ], [ "Miguel_Tejada", "isAffiliatedTo", "San_Francisco_Giants" ], [ "Orlando_Cepeda", "hasGender", "male" ], [ "Orlando_Cepeda", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Orlando_Cepeda", "hasWonPrize", "Major_League_Baseball_Rookie_of_the_Year_Award" ], [ "Orlando_Cepeda", "isAffiliatedTo", "Boston_Red_Sox" ], [ "Orlando_Cepeda", "isAffiliatedTo", "Oakland_Athletics" ], [ "Orlando_Cepeda", "isAffiliatedTo", "San_Francisco_Giants" ], [ "Rickey_Henderson", "hasGender", "male" ], [ "Rickey_Henderson", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Rickey_Henderson", "isAffiliatedTo", "Boston_Red_Sox" ], [ "Rickey_Henderson", "isAffiliatedTo", "New_York_Yankees" ], [ "Rickey_Henderson", "isAffiliatedTo", "Oakland_Athletics" ], [ "Rickey_Henderson", "isAffiliatedTo", "San_Diego_Padres" ], [ "Rickey_Henderson", "isAffiliatedTo", "Seattle_Mariners" ], [ "Rickey_Henderson", "isAffiliatedTo", "Toronto_Blue_Jays" ], [ "San_Diego_Padres", "hasGender", "male" ], [ "Stanley_Bruce", "hasGender", "male" ], [ "Ted_Williams", "hasGender", "male" ], [ "Ted_Williams", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ], [ "Ted_Williams", "isAffiliatedTo", "Boston_Red_Sox" ], [ "Zoilo_Versalles", "hasGender", "male" ], [ "Zoilo_Versalles", "hasWonPrize", "Major_League_Baseball_Most_Valuable_Player_Award" ] ], "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 95802, Australia 101420, Catania 33806, Indonesia 28726, Italy 43915, Malay_Archipelago 18931, New_Guinea 97021, Oceania 57243, Papua_New_Guinea 117048, Wewak 99322, wordnet_chemical_114806838 src, edge_attr, dst 95802, isLocatedIn, 97021 101420, isLocatedIn, 28726 33806, hasNeighbor, 57243 33806, isLocatedIn, 97021 28726, imports, 99322 43915, isLocatedIn, 97021 43915, isLocatedIn, 57243 18931, isLocatedIn, 97021 18931, isLocatedIn, 57243 57243, dealsWith, 95802 57243, hasNeighbor, 33806 57243, imports, 99322 57243, isLocatedIn, 97021 117048, isLocatedIn, 97021 117048, isLocatedIn, 57243 Question: How are Catania and Wewak related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Catania", "Wewak" ], "valid_edges": [ [ "Australia", "isLocatedIn", "Oceania" ], [ "Catania", "isLocatedIn", "Italy" ], [ "Indonesia", "hasNeighbor", "Papua_New_Guinea" ], [ "Indonesia", "isLocatedIn", "Oceania" ], [ "Italy", "imports", "wordnet_chemical_114806838" ], [ "Malay_Archipelago", "isLocatedIn", "Oceania" ], [ "Malay_Archipelago", "isLocatedIn", "Papua_New_Guinea" ], [ "New_Guinea", "isLocatedIn", "Oceania" ], [ "New_Guinea", "isLocatedIn", "Papua_New_Guinea" ], [ "Papua_New_Guinea", "dealsWith", "Australia" ], [ "Papua_New_Guinea", "hasNeighbor", "Indonesia" ], [ "Papua_New_Guinea", "imports", "wordnet_chemical_114806838" ], [ "Papua_New_Guinea", "isLocatedIn", "Oceania" ], [ "Wewak", "isLocatedIn", "Oceania" ], [ "Wewak", "isLocatedIn", "Papua_New_Guinea" ] ], "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 43173, Abel_Balbo 25425, Alberto_Tarantini 40859, Alfredo_Rojas 59443, Boca_Juniors 29791, Bruno_Urribarri 86871, Carlos_Barisio 46545, Carlos_Daniel_Tapia 75168, Carlos_Morete 22406, Carlos_Peucelle 106553, Claudio_Caniggia 85489, Clayton_Stanley 104649, Club_Atlético_River_Plate 75459, East_Granby,_Connecticut 4785, Ernesto_Grillo 84361, Ernesto_Mastrángelo 29871, Esteban_José_Herrera 6077, Fernando_Cáceres 6319, Fernando_Gamboa 64543, Francisco_Sá 32826, Gabriel_Amato 9904, Gabriel_Batistuta 21958, Gabriel_Cedrés 79364, Gerardo_Reinoso 36828, Gil_Amelio 25306, Hugo_Gatti 18968, Iraklis_Thessaloniki_F.C. 116396, Jonathan_Fabbro 110253, Jonathan_Maidana 79399, Jorge_Daniel_Martínez 99559, Jorge_Higuaín 41804, Jorge_Rinaldi 105914, José_Luis_Villarreal 31757, José_Manuel_Moreno 69013, José_Milton_Melgar 24898, Juan_Francisco_Lombardo 61919, Juan_José_López 106534, Juan_José_Pizzuti 91392, Julio_César_Cáceres 79170, Julio_César_Toresani 28298, Julio_Olarticoechea 30476, Luciano_Figueroa 117096, Mariano_Pavone 5394, Matías_Lequi 47007, Matías_Marchesini 5605, Miguel_Ángel_Loayza 13679, Milan_Borjan 23398, Nelson_Vivas 8644, Oscar_Ruggeri 22900, Ricardo_Gareca 36547, Rubén_da_Silva 8145, Sebastián_Rambert 6611, Sergio_Berti 29157, United_States 58211, Victorio_Cocco 95468, Víctor_Trossero src, edge_attr, dst 43173, isAffiliatedTo, 59443 43173, isAffiliatedTo, 104649 43173, playsFor, 59443 43173, playsFor, 104649 25425, isAffiliatedTo, 59443 25425, isAffiliatedTo, 104649 25425, playsFor, 59443 25425, playsFor, 104649 40859, isAffiliatedTo, 59443 40859, isAffiliatedTo, 104649 40859, playsFor, 59443 40859, playsFor, 104649 29791, isAffiliatedTo, 59443 29791, isAffiliatedTo, 104649 29791, playsFor, 59443 29791, playsFor, 104649 86871, isAffiliatedTo, 59443 86871, isAffiliatedTo, 104649 86871, playsFor, 59443 86871, playsFor, 104649 46545, isAffiliatedTo, 59443 46545, isAffiliatedTo, 104649 46545, playsFor, 59443 46545, playsFor, 104649 75168, isAffiliatedTo, 59443 75168, isAffiliatedTo, 104649 75168, playsFor, 59443 75168, playsFor, 104649 22406, isAffiliatedTo, 59443 22406, isAffiliatedTo, 104649 22406, playsFor, 104649 106553, isAffiliatedTo, 59443 106553, isAffiliatedTo, 104649 106553, playsFor, 59443 106553, playsFor, 104649 85489, isAffiliatedTo, 18968 85489, isCitizenOf, 29157 75459, isLocatedIn, 29157 4785, isAffiliatedTo, 59443 4785, isAffiliatedTo, 104649 4785, playsFor, 59443 4785, playsFor, 104649 84361, isAffiliatedTo, 59443 84361, isAffiliatedTo, 104649 84361, playsFor, 59443 84361, playsFor, 104649 29871, isAffiliatedTo, 59443 29871, isAffiliatedTo, 18968 29871, playsFor, 59443 29871, playsFor, 18968 6077, isAffiliatedTo, 59443 6077, isAffiliatedTo, 104649 6077, playsFor, 59443 6077, playsFor, 104649 6319, isAffiliatedTo, 59443 6319, isAffiliatedTo, 104649 6319, playsFor, 59443 6319, playsFor, 104649 64543, isAffiliatedTo, 59443 64543, isAffiliatedTo, 104649 64543, playsFor, 59443 64543, playsFor, 104649 32826, isAffiliatedTo, 59443 32826, isAffiliatedTo, 104649 32826, playsFor, 59443 32826, playsFor, 104649 9904, isAffiliatedTo, 59443 9904, isAffiliatedTo, 104649 9904, playsFor, 59443 9904, playsFor, 104649 21958, isAffiliatedTo, 59443 21958, isAffiliatedTo, 104649 21958, playsFor, 59443 21958, playsFor, 104649 79364, isAffiliatedTo, 59443 79364, isAffiliatedTo, 104649 79364, playsFor, 59443 79364, playsFor, 104649 36828, isCitizenOf, 29157 36828, playsFor, 59443 36828, playsFor, 104649 25306, isAffiliatedTo, 59443 25306, isAffiliatedTo, 104649 25306, playsFor, 59443 25306, playsFor, 104649 116396, isAffiliatedTo, 59443 116396, isAffiliatedTo, 104649 116396, playsFor, 59443 116396, playsFor, 104649 110253, isAffiliatedTo, 59443 110253, isAffiliatedTo, 104649 110253, playsFor, 59443 110253, playsFor, 104649 79399, isAffiliatedTo, 59443 79399, isAffiliatedTo, 104649 79399, playsFor, 59443 79399, playsFor, 104649 99559, isAffiliatedTo, 59443 99559, isAffiliatedTo, 104649 99559, playsFor, 59443 99559, playsFor, 104649 41804, isAffiliatedTo, 59443 41804, isAffiliatedTo, 104649 41804, playsFor, 59443 41804, playsFor, 104649 105914, playsFor, 59443 105914, playsFor, 104649 31757, isAffiliatedTo, 59443 31757, isAffiliatedTo, 104649 31757, playsFor, 59443 31757, playsFor, 104649 69013, isAffiliatedTo, 59443 69013, isAffiliatedTo, 104649 69013, playsFor, 59443 69013, playsFor, 104649 24898, isAffiliatedTo, 59443 24898, isAffiliatedTo, 104649 24898, playsFor, 59443 24898, playsFor, 104649 61919, isAffiliatedTo, 59443 61919, isAffiliatedTo, 104649 61919, playsFor, 59443 61919, playsFor, 104649 106534, isAffiliatedTo, 59443 106534, isAffiliatedTo, 104649 106534, playsFor, 59443 106534, playsFor, 104649 91392, isAffiliatedTo, 59443 91392, isAffiliatedTo, 104649 91392, playsFor, 59443 91392, playsFor, 104649 79170, isAffiliatedTo, 59443 79170, isAffiliatedTo, 104649 79170, playsFor, 59443 79170, playsFor, 104649 28298, isAffiliatedTo, 59443 28298, isAffiliatedTo, 104649 28298, playsFor, 59443 28298, playsFor, 104649 30476, isAffiliatedTo, 59443 30476, isAffiliatedTo, 104649 30476, playsFor, 59443 30476, playsFor, 104649 117096, isAffiliatedTo, 59443 117096, isAffiliatedTo, 104649 117096, playsFor, 104649 5394, isAffiliatedTo, 104649 5394, isAffiliatedTo, 18968 5394, playsFor, 104649 5394, playsFor, 18968 47007, playsFor, 59443 47007, playsFor, 104649 5605, isAffiliatedTo, 59443 5605, isAffiliatedTo, 104649 5605, playsFor, 59443 5605, playsFor, 104649 13679, playsFor, 59443 13679, playsFor, 104649 23398, isAffiliatedTo, 59443 23398, isAffiliatedTo, 104649 23398, playsFor, 59443 23398, playsFor, 104649 8644, isAffiliatedTo, 59443 8644, isAffiliatedTo, 104649 8644, playsFor, 59443 8644, playsFor, 104649 22900, isAffiliatedTo, 59443 22900, isAffiliatedTo, 104649 22900, playsFor, 59443 22900, playsFor, 104649 36547, isAffiliatedTo, 59443 36547, isAffiliatedTo, 104649 36547, playsFor, 59443 36547, playsFor, 104649 8145, isAffiliatedTo, 59443 8145, isAffiliatedTo, 104649 8145, isAffiliatedTo, 18968 8145, playsFor, 59443 8145, playsFor, 104649 8145, playsFor, 18968 6611, isAffiliatedTo, 59443 6611, isAffiliatedTo, 104649 6611, playsFor, 59443 6611, playsFor, 104649 58211, isAffiliatedTo, 59443 58211, isAffiliatedTo, 104649 58211, playsFor, 59443 58211, playsFor, 104649 95468, isAffiliatedTo, 59443 95468, isAffiliatedTo, 104649 95468, playsFor, 59443 95468, playsFor, 104649 Question: For what reason are East_Granby,_Connecticut and Sebastián_Rambert associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "East_Granby,_Connecticut", "Sebastián_Rambert" ], "valid_edges": [ [ "Abel_Balbo", "isAffiliatedTo", "Boca_Juniors" ], [ "Abel_Balbo", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Abel_Balbo", "playsFor", "Boca_Juniors" ], [ "Abel_Balbo", "playsFor", "Club_Atlético_River_Plate" ], [ "Alberto_Tarantini", "isAffiliatedTo", "Boca_Juniors" ], [ "Alberto_Tarantini", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Alberto_Tarantini", "playsFor", "Boca_Juniors" ], [ "Alberto_Tarantini", "playsFor", "Club_Atlético_River_Plate" ], [ "Alfredo_Rojas", "isAffiliatedTo", "Boca_Juniors" ], [ "Alfredo_Rojas", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Alfredo_Rojas", "playsFor", "Boca_Juniors" ], [ "Alfredo_Rojas", "playsFor", "Club_Atlético_River_Plate" ], [ "Bruno_Urribarri", "isAffiliatedTo", "Boca_Juniors" ], [ "Bruno_Urribarri", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Bruno_Urribarri", "playsFor", "Boca_Juniors" ], [ "Bruno_Urribarri", "playsFor", "Club_Atlético_River_Plate" ], [ "Carlos_Barisio", "isAffiliatedTo", "Boca_Juniors" ], [ "Carlos_Barisio", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Carlos_Barisio", "playsFor", "Boca_Juniors" ], [ "Carlos_Barisio", "playsFor", "Club_Atlético_River_Plate" ], [ "Carlos_Daniel_Tapia", "isAffiliatedTo", "Boca_Juniors" ], [ "Carlos_Daniel_Tapia", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Carlos_Daniel_Tapia", "playsFor", "Boca_Juniors" ], [ "Carlos_Daniel_Tapia", "playsFor", "Club_Atlético_River_Plate" ], [ "Carlos_Morete", "isAffiliatedTo", "Boca_Juniors" ], [ "Carlos_Morete", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Carlos_Morete", "playsFor", "Boca_Juniors" ], [ "Carlos_Morete", "playsFor", "Club_Atlético_River_Plate" ], [ "Carlos_Peucelle", "isAffiliatedTo", "Boca_Juniors" ], [ "Carlos_Peucelle", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Carlos_Peucelle", "playsFor", "Club_Atlético_River_Plate" ], [ "Claudio_Caniggia", "isAffiliatedTo", "Boca_Juniors" ], [ "Claudio_Caniggia", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Claudio_Caniggia", "playsFor", "Boca_Juniors" ], [ "Claudio_Caniggia", "playsFor", "Club_Atlético_River_Plate" ], [ "Clayton_Stanley", "isAffiliatedTo", "Iraklis_Thessaloniki_F.C." ], [ "Clayton_Stanley", "isCitizenOf", "United_States" ], [ "East_Granby,_Connecticut", "isLocatedIn", "United_States" ], [ "Ernesto_Grillo", "isAffiliatedTo", "Boca_Juniors" ], [ "Ernesto_Grillo", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Ernesto_Grillo", "playsFor", "Boca_Juniors" ], [ "Ernesto_Grillo", "playsFor", "Club_Atlético_River_Plate" ], [ "Ernesto_Mastrángelo", "isAffiliatedTo", "Boca_Juniors" ], [ "Ernesto_Mastrángelo", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Ernesto_Mastrángelo", "playsFor", "Boca_Juniors" ], [ "Ernesto_Mastrángelo", "playsFor", "Club_Atlético_River_Plate" ], [ "Esteban_José_Herrera", "isAffiliatedTo", "Boca_Juniors" ], [ "Esteban_José_Herrera", "isAffiliatedTo", "Iraklis_Thessaloniki_F.C." ], [ "Esteban_José_Herrera", "playsFor", "Boca_Juniors" ], [ "Esteban_José_Herrera", "playsFor", "Iraklis_Thessaloniki_F.C." ], [ "Fernando_Cáceres", "isAffiliatedTo", "Boca_Juniors" ], [ "Fernando_Cáceres", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Fernando_Cáceres", "playsFor", "Boca_Juniors" ], [ "Fernando_Cáceres", "playsFor", "Club_Atlético_River_Plate" ], [ "Fernando_Gamboa", "isAffiliatedTo", "Boca_Juniors" ], [ "Fernando_Gamboa", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Fernando_Gamboa", "playsFor", "Boca_Juniors" ], [ "Fernando_Gamboa", "playsFor", "Club_Atlético_River_Plate" ], [ "Francisco_Sá", "isAffiliatedTo", "Boca_Juniors" ], [ "Francisco_Sá", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Francisco_Sá", "playsFor", "Boca_Juniors" ], [ "Francisco_Sá", "playsFor", "Club_Atlético_River_Plate" ], [ "Gabriel_Amato", "isAffiliatedTo", "Boca_Juniors" ], [ "Gabriel_Amato", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Gabriel_Amato", "playsFor", "Boca_Juniors" ], [ "Gabriel_Amato", "playsFor", "Club_Atlético_River_Plate" ], [ "Gabriel_Batistuta", "isAffiliatedTo", "Boca_Juniors" ], [ "Gabriel_Batistuta", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Gabriel_Batistuta", "playsFor", "Boca_Juniors" ], [ "Gabriel_Batistuta", "playsFor", "Club_Atlético_River_Plate" ], [ "Gabriel_Cedrés", "isAffiliatedTo", "Boca_Juniors" ], [ "Gabriel_Cedrés", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Gabriel_Cedrés", "playsFor", "Boca_Juniors" ], [ "Gabriel_Cedrés", "playsFor", "Club_Atlético_River_Plate" ], [ "Gerardo_Reinoso", "isAffiliatedTo", "Boca_Juniors" ], [ "Gerardo_Reinoso", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Gerardo_Reinoso", "playsFor", "Boca_Juniors" ], [ "Gerardo_Reinoso", "playsFor", "Club_Atlético_River_Plate" ], [ "Gil_Amelio", "isCitizenOf", "United_States" ], [ "Gil_Amelio", "playsFor", "Boca_Juniors" ], [ "Gil_Amelio", "playsFor", "Club_Atlético_River_Plate" ], [ "Hugo_Gatti", "isAffiliatedTo", "Boca_Juniors" ], [ "Hugo_Gatti", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Hugo_Gatti", "playsFor", "Boca_Juniors" ], [ "Hugo_Gatti", "playsFor", "Club_Atlético_River_Plate" ], [ "Jonathan_Fabbro", "isAffiliatedTo", "Boca_Juniors" ], [ "Jonathan_Fabbro", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Jonathan_Fabbro", "playsFor", "Boca_Juniors" ], [ "Jonathan_Fabbro", "playsFor", "Club_Atlético_River_Plate" ], [ "Jonathan_Maidana", "isAffiliatedTo", "Boca_Juniors" ], [ "Jonathan_Maidana", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Jonathan_Maidana", "playsFor", "Boca_Juniors" ], [ "Jonathan_Maidana", "playsFor", "Club_Atlético_River_Plate" ], [ "Jorge_Daniel_Martínez", "isAffiliatedTo", "Boca_Juniors" ], [ "Jorge_Daniel_Martínez", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Jorge_Daniel_Martínez", "playsFor", "Boca_Juniors" ], [ "Jorge_Daniel_Martínez", "playsFor", "Club_Atlético_River_Plate" ], [ "Jorge_Higuaín", "isAffiliatedTo", "Boca_Juniors" ], [ "Jorge_Higuaín", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Jorge_Higuaín", "playsFor", "Boca_Juniors" ], [ "Jorge_Higuaín", "playsFor", "Club_Atlético_River_Plate" ], [ "Jorge_Rinaldi", "isAffiliatedTo", "Boca_Juniors" ], [ "Jorge_Rinaldi", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Jorge_Rinaldi", "playsFor", "Boca_Juniors" ], [ "Jorge_Rinaldi", "playsFor", "Club_Atlético_River_Plate" ], [ "José_Luis_Villarreal", "playsFor", "Boca_Juniors" ], [ "José_Luis_Villarreal", "playsFor", "Club_Atlético_River_Plate" ], [ "José_Manuel_Moreno", "isAffiliatedTo", "Boca_Juniors" ], [ "José_Manuel_Moreno", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "José_Manuel_Moreno", "playsFor", "Boca_Juniors" ], [ "José_Manuel_Moreno", "playsFor", "Club_Atlético_River_Plate" ], [ "José_Milton_Melgar", "isAffiliatedTo", "Boca_Juniors" ], [ "José_Milton_Melgar", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "José_Milton_Melgar", "playsFor", "Boca_Juniors" ], [ "José_Milton_Melgar", "playsFor", "Club_Atlético_River_Plate" ], [ "Juan_Francisco_Lombardo", "isAffiliatedTo", "Boca_Juniors" ], [ "Juan_Francisco_Lombardo", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Juan_Francisco_Lombardo", "playsFor", "Boca_Juniors" ], [ "Juan_Francisco_Lombardo", "playsFor", "Club_Atlético_River_Plate" ], [ "Juan_José_López", "isAffiliatedTo", "Boca_Juniors" ], [ "Juan_José_López", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Juan_José_López", "playsFor", "Boca_Juniors" ], [ "Juan_José_López", "playsFor", "Club_Atlético_River_Plate" ], [ "Juan_José_Pizzuti", "isAffiliatedTo", "Boca_Juniors" ], [ "Juan_José_Pizzuti", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Juan_José_Pizzuti", "playsFor", "Boca_Juniors" ], [ "Juan_José_Pizzuti", "playsFor", "Club_Atlético_River_Plate" ], [ "Julio_César_Cáceres", "isAffiliatedTo", "Boca_Juniors" ], [ "Julio_César_Cáceres", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Julio_César_Cáceres", "playsFor", "Boca_Juniors" ], [ "Julio_César_Cáceres", "playsFor", "Club_Atlético_River_Plate" ], [ "Julio_César_Toresani", "isAffiliatedTo", "Boca_Juniors" ], [ "Julio_César_Toresani", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Julio_César_Toresani", "playsFor", "Boca_Juniors" ], [ "Julio_César_Toresani", "playsFor", "Club_Atlético_River_Plate" ], [ "Julio_Olarticoechea", "isAffiliatedTo", "Boca_Juniors" ], [ "Julio_Olarticoechea", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Julio_Olarticoechea", "playsFor", "Boca_Juniors" ], [ "Julio_Olarticoechea", "playsFor", "Club_Atlético_River_Plate" ], [ "Luciano_Figueroa", "isAffiliatedTo", "Boca_Juniors" ], [ "Luciano_Figueroa", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Luciano_Figueroa", "playsFor", "Boca_Juniors" ], [ "Luciano_Figueroa", "playsFor", "Club_Atlético_River_Plate" ], [ "Mariano_Pavone", "isAffiliatedTo", "Boca_Juniors" ], [ "Mariano_Pavone", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Mariano_Pavone", "playsFor", "Club_Atlético_River_Plate" ], [ "Matías_Lequi", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Matías_Lequi", "isAffiliatedTo", "Iraklis_Thessaloniki_F.C." ], [ "Matías_Lequi", "playsFor", "Club_Atlético_River_Plate" ], [ "Matías_Lequi", "playsFor", "Iraklis_Thessaloniki_F.C." ], [ "Matías_Marchesini", "playsFor", "Boca_Juniors" ], [ "Matías_Marchesini", "playsFor", "Club_Atlético_River_Plate" ], [ "Miguel_Ángel_Loayza", "isAffiliatedTo", "Boca_Juniors" ], [ "Miguel_Ángel_Loayza", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Miguel_Ángel_Loayza", "playsFor", "Boca_Juniors" ], [ "Miguel_Ángel_Loayza", "playsFor", "Club_Atlético_River_Plate" ], [ "Milan_Borjan", "playsFor", "Boca_Juniors" ], [ "Milan_Borjan", "playsFor", "Club_Atlético_River_Plate" ], [ "Nelson_Vivas", "isAffiliatedTo", "Boca_Juniors" ], [ "Nelson_Vivas", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Nelson_Vivas", "playsFor", "Boca_Juniors" ], [ "Nelson_Vivas", "playsFor", "Club_Atlético_River_Plate" ], [ "Oscar_Ruggeri", "isAffiliatedTo", "Boca_Juniors" ], [ "Oscar_Ruggeri", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Oscar_Ruggeri", "playsFor", "Boca_Juniors" ], [ "Oscar_Ruggeri", "playsFor", "Club_Atlético_River_Plate" ], [ "Ricardo_Gareca", "isAffiliatedTo", "Boca_Juniors" ], [ "Ricardo_Gareca", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Ricardo_Gareca", "playsFor", "Boca_Juniors" ], [ "Ricardo_Gareca", "playsFor", "Club_Atlético_River_Plate" ], [ "Rubén_da_Silva", "isAffiliatedTo", "Boca_Juniors" ], [ "Rubén_da_Silva", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Rubén_da_Silva", "playsFor", "Boca_Juniors" ], [ "Rubén_da_Silva", "playsFor", "Club_Atlético_River_Plate" ], [ "Sebastián_Rambert", "isAffiliatedTo", "Boca_Juniors" ], [ "Sebastián_Rambert", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Sebastián_Rambert", "isAffiliatedTo", "Iraklis_Thessaloniki_F.C." ], [ "Sebastián_Rambert", "playsFor", "Boca_Juniors" ], [ "Sebastián_Rambert", "playsFor", "Club_Atlético_River_Plate" ], [ "Sebastián_Rambert", "playsFor", "Iraklis_Thessaloniki_F.C." ], [ "Sergio_Berti", "isAffiliatedTo", "Boca_Juniors" ], [ "Sergio_Berti", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Sergio_Berti", "playsFor", "Boca_Juniors" ], [ "Sergio_Berti", "playsFor", "Club_Atlético_River_Plate" ], [ "Victorio_Cocco", "isAffiliatedTo", "Boca_Juniors" ], [ "Victorio_Cocco", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Victorio_Cocco", "playsFor", "Boca_Juniors" ], [ "Victorio_Cocco", "playsFor", "Club_Atlético_River_Plate" ], [ "Víctor_Trossero", "isAffiliatedTo", "Boca_Juniors" ], [ "Víctor_Trossero", "isAffiliatedTo", "Club_Atlético_River_Plate" ], [ "Víctor_Trossero", "playsFor", "Boca_Juniors" ], [ "Víctor_Trossero", "playsFor", "Club_Atlético_River_Plate" ] ], "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 79679, Bent_Inge_Johnsen 9097, Jan_van_Dijk_(footballer) 101023, Mosjøen 120853, Vefsn 118104, male src, edge_attr, dst 79679, hasGender, 118104 79679, wasBornIn, 101023 9097, hasGender, 118104 101023, isLocatedIn, 120853 120853, hasCapital, 101023 120853, isLocatedIn, 101023 Question: In what context are Jan_van_Dijk_(footballer) and Vefsn connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Jan_van_Dijk_(footballer)", "Vefsn" ], "valid_edges": [ [ "Bent_Inge_Johnsen", "hasGender", "male" ], [ "Bent_Inge_Johnsen", "wasBornIn", "Mosjøen" ], [ "Jan_van_Dijk_(footballer)", "hasGender", "male" ], [ "Mosjøen", "isLocatedIn", "Vefsn" ], [ "Vefsn", "hasCapital", "Mosjøen" ], [ "Vefsn", "isLocatedIn", "Mosjøen" ] ], "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 5074, Algeria 94673, Club_Atlético_de_Madrid 50569, Constantine_Province 122110, José_Mari 32967, Seville 24598, Spain src, edge_attr, dst 5074, dealsWith, 24598 94673, isLocatedIn, 24598 50569, isLocatedIn, 5074 122110, isAffiliatedTo, 94673 122110, wasBornIn, 32967 32967, isLocatedIn, 24598 Question: In what context are Constantine_Province and José_Mari connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Constantine_Province", "José_Mari" ], "valid_edges": [ [ "Algeria", "dealsWith", "Spain" ], [ "Club_Atlético_de_Madrid", "isLocatedIn", "Spain" ], [ "Constantine_Province", "isLocatedIn", "Algeria" ], [ "José_Mari", "isAffiliatedTo", "Club_Atlético_de_Madrid" ], [ "José_Mari", "wasBornIn", "Seville" ], [ "Seville", "isLocatedIn", "Spain" ] ], "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 60026, Curaçao 79718, English_language 7051, Kanpur 47512, Noida 85694, Shahjahanpur 30795, Uttar_Pradesh 117864, Varanasi src, edge_attr, dst 60026, hasOfficialLanguage, 79718 7051, hasOfficialLanguage, 79718 7051, isLocatedIn, 30795 47512, hasOfficialLanguage, 79718 47512, isLocatedIn, 30795 85694, isLocatedIn, 30795 30795, hasCapital, 7051 117864, hasOfficialLanguage, 79718 117864, isLocatedIn, 30795 Question: In what context are Curaçao and Shahjahanpur connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Curaçao", "Shahjahanpur" ], "valid_edges": [ [ "Curaçao", "hasOfficialLanguage", "English_language" ], [ "Kanpur", "hasOfficialLanguage", "English_language" ], [ "Kanpur", "isLocatedIn", "Uttar_Pradesh" ], [ "Noida", "hasOfficialLanguage", "English_language" ], [ "Noida", "isLocatedIn", "Uttar_Pradesh" ], [ "Shahjahanpur", "isLocatedIn", "Uttar_Pradesh" ], [ "Uttar_Pradesh", "hasCapital", "Kanpur" ], [ "Varanasi", "hasOfficialLanguage", "English_language" ], [ "Varanasi", "isLocatedIn", "Uttar_Pradesh" ] ], "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 7931, Alacranes_de_Durango 109345, Alberto_Quintero_Medina 63067, Alex_Diego 67517, Aloysius_Gonzaga 100549, Aparecido_Lima 98453, Boghos_Nubar 37659, C.F._Atlante 10703, C.F._Pachuca 18491, Carlos_Muñoz_Cobo 108166, Cesáreo_Victorino 113720, Club_Atlas 85797, Club_León 112842, Club_Universidad_Nacional 22450, Correcaminos_UAT 112865, Cuauhtémoc_Blanco 75506, Deportivo_Toluca_F.C. 36917, Diego_Cervantes 82160, Diego_Martínez 92507, Diego_Ordaz 94499, Diego_de_Souza_Gama_Silva 66070, Dorados_de_Sinaloa 76607, Dudu_Paraíba 9326, Eder_Pacheco 93020, Edson_Zwaricz 7092, Edwin_Borboa 14865, Felipe_Quintero 19000, Hebert_Alférez 52968, Hiber_Ruíz 96979, Hugo_Fernández 37045, Indios_de_Ciudad_Juárez 74395, Ismael_Íñiguez 14288, Jair_García 17790, Jesús_Olalde 47943, Joaquín_Reyes_(footballer) 29878, Juan_Augusto_Gómez 49187, Juan_Pablo_Alfaro 114231, Juan_Pablo_Úbeda 111802, Juan_Sara 111022, Juan_de_Dios_Hernández 23149, Juan_de_Dios_Ibarra 114025, Lobos_de_la_BUAP 23817, Luis_Gabriel_Rey 93615, Luis_Hernández_(footballer) 63765, Luis_Ignacio_Quinteros 11433, Manuel_de_la_Torre 62608, Marco_Capetillo 13969, Marco_Vidal 29199, Mario_Cáceres 120088, Mario_Rodríguez_Cervantes 43433, Mexico_City 47216, Mexico_national_under-23_football_team 72772, Omar_Flores 94647, Omar_Monjaraz 26471, Oscar_Dautt 82685, Pablo_Metlich 62705, Paulo_Garcés 46294, Raúl_Lara 104950, Raúl_Martínez_(footballer) 67552, Ricardo_Janota 10670, Ricardo_Mauricio_Martínez 67089, Ricardo_Parada 95064, Roberto_Eduardo_Carboni 21449, Rodrigo_Íñigo 18836, Sergio_Orduña 102562, Tigres_UANL 77277, Tomás_Domínguez 118104, male 59716, Álvaro_Fabián_González 46467, Ángel_Sosa src, edge_attr, dst 109345, hasGender, 118104 109345, isAffiliatedTo, 114025 109345, playsFor, 114025 63067, hasGender, 118104 63067, isAffiliatedTo, 37659 63067, isAffiliatedTo, 112842 63067, isAffiliatedTo, 114025 63067, playsFor, 37659 63067, playsFor, 112842 63067, playsFor, 114025 63067, wasBornIn, 43433 67517, hasGender, 118104 67517, playsFor, 37659 67517, playsFor, 114025 100549, hasGender, 118104 100549, isAffiliatedTo, 114025 100549, playsFor, 114025 98453, hasGender, 118104 98453, playsFor, 66070 98453, playsFor, 114025 18491, hasGender, 118104 18491, isAffiliatedTo, 114025 18491, playsFor, 114025 108166, hasGender, 118104 108166, isAffiliatedTo, 10703 108166, isAffiliatedTo, 112842 108166, isAffiliatedTo, 114025 108166, playsFor, 10703 108166, playsFor, 112842 108166, playsFor, 114025 108166, wasBornIn, 43433 112865, hasGender, 118104 112865, isAffiliatedTo, 66070 112865, isAffiliatedTo, 114025 112865, isAffiliatedTo, 47216 112865, playsFor, 66070 112865, playsFor, 114025 112865, wasBornIn, 43433 36917, hasGender, 118104 36917, isAffiliatedTo, 37659 36917, isAffiliatedTo, 114025 36917, playsFor, 37659 36917, playsFor, 114025 36917, wasBornIn, 43433 82160, hasGender, 118104 82160, isAffiliatedTo, 114025 82160, isAffiliatedTo, 102562 82160, playsFor, 102562 82160, wasBornIn, 43433 92507, hasGender, 118104 92507, isAffiliatedTo, 37659 92507, isAffiliatedTo, 114025 92507, playsFor, 37659 92507, playsFor, 114025 94499, hasGender, 118104 94499, isAffiliatedTo, 114025 94499, playsFor, 114025 76607, hasGender, 118104 76607, isAffiliatedTo, 114025 76607, playsFor, 114025 9326, hasGender, 118104 9326, isAffiliatedTo, 7931 9326, isAffiliatedTo, 85797 9326, playsFor, 7931 9326, playsFor, 85797 9326, playsFor, 114025 93020, hasGender, 118104 93020, isAffiliatedTo, 7931 93020, isAffiliatedTo, 66070 93020, isAffiliatedTo, 114025 93020, playsFor, 7931 93020, playsFor, 66070 93020, playsFor, 114025 7092, hasGender, 118104 7092, isAffiliatedTo, 37659 7092, isAffiliatedTo, 10703 7092, isAffiliatedTo, 85797 7092, isAffiliatedTo, 66070 7092, isAffiliatedTo, 37045 7092, isAffiliatedTo, 114025 7092, playsFor, 37659 7092, playsFor, 10703 7092, playsFor, 85797 7092, playsFor, 66070 7092, playsFor, 37045 7092, playsFor, 114025 14865, hasGender, 118104 14865, isAffiliatedTo, 37045 14865, isAffiliatedTo, 114025 14865, playsFor, 37045 14865, playsFor, 114025 19000, hasGender, 118104 19000, isAffiliatedTo, 113720 19000, isAffiliatedTo, 66070 19000, playsFor, 37659 19000, playsFor, 113720 19000, playsFor, 66070 19000, playsFor, 114025 52968, hasGender, 118104 52968, playsFor, 37045 52968, playsFor, 114025 96979, hasGender, 118104 96979, isAffiliatedTo, 113720 96979, isAffiliatedTo, 66070 96979, isAffiliatedTo, 114025 96979, isAffiliatedTo, 102562 96979, playsFor, 113720 74395, hasGender, 118104 74395, isAffiliatedTo, 112842 74395, isAffiliatedTo, 22450 74395, isAffiliatedTo, 114025 74395, playsFor, 112842 74395, playsFor, 22450 74395, playsFor, 114025 14288, hasGender, 118104 14288, isAffiliatedTo, 113720 14288, isAffiliatedTo, 85797 14288, isAffiliatedTo, 37045 14288, isAffiliatedTo, 114025 14288, playsFor, 113720 14288, playsFor, 85797 14288, playsFor, 37045 14288, playsFor, 114025 17790, hasGender, 118104 17790, isAffiliatedTo, 37659 17790, isAffiliatedTo, 112842 17790, isAffiliatedTo, 114025 17790, isAffiliatedTo, 102562 17790, playsFor, 37659 17790, playsFor, 112842 17790, playsFor, 114025 17790, playsFor, 102562 17790, wasBornIn, 43433 47943, hasGender, 118104 47943, isAffiliatedTo, 7931 47943, isAffiliatedTo, 85797 47943, isAffiliatedTo, 114025 47943, playsFor, 7931 47943, playsFor, 85797 47943, playsFor, 114025 29878, hasGender, 118104 29878, isAffiliatedTo, 22450 29878, isAffiliatedTo, 37045 29878, isAffiliatedTo, 114025 29878, isAffiliatedTo, 102562 29878, playsFor, 22450 29878, playsFor, 37045 29878, playsFor, 114025 29878, playsFor, 102562 49187, hasGender, 118104 49187, isAffiliatedTo, 10703 49187, isAffiliatedTo, 75506 49187, isAffiliatedTo, 114025 49187, playsFor, 10703 49187, playsFor, 114025 114231, hasGender, 118104 114231, playsFor, 114025 111802, hasGender, 118104 111802, isAffiliatedTo, 22450 111802, isAffiliatedTo, 114025 111802, playsFor, 22450 111802, playsFor, 114025 111022, hasGender, 118104 111022, playsFor, 37659 111022, playsFor, 66070 111022, playsFor, 114025 23149, hasGender, 118104 23149, isAffiliatedTo, 7931 23149, isAffiliatedTo, 114025 23149, playsFor, 7931 23149, playsFor, 114025 23817, hasGender, 118104 23817, isAffiliatedTo, 37659 23817, isAffiliatedTo, 10703 23817, isAffiliatedTo, 114025 23817, playsFor, 37659 23817, playsFor, 10703 23817, playsFor, 114025 93615, hasGender, 118104 93615, isAffiliatedTo, 114025 93615, isAffiliatedTo, 102562 93615, playsFor, 102562 63765, hasGender, 118104 63765, isAffiliatedTo, 85797 63765, isAffiliatedTo, 114025 63765, playsFor, 85797 63765, playsFor, 114025 11433, hasGender, 118104 11433, isAffiliatedTo, 112842 11433, isAffiliatedTo, 75506 11433, isAffiliatedTo, 114025 11433, isAffiliatedTo, 102562 11433, playsFor, 112842 11433, playsFor, 75506 11433, playsFor, 114025 11433, playsFor, 102562 11433, wasBornIn, 43433 62608, isAffiliatedTo, 37659 62608, isAffiliatedTo, 114025 62608, playsFor, 37659 62608, playsFor, 114025 62608, wasBornIn, 43433 13969, hasGender, 118104 13969, isAffiliatedTo, 10703 13969, isAffiliatedTo, 85797 13969, isAffiliatedTo, 37045 13969, isAffiliatedTo, 114025 13969, isAffiliatedTo, 102562 13969, playsFor, 10703 13969, playsFor, 85797 13969, playsFor, 37045 13969, playsFor, 114025 13969, playsFor, 102562 29199, hasGender, 118104 29199, isAffiliatedTo, 114025 29199, playsFor, 114025 120088, hasGender, 118104 120088, isAffiliatedTo, 113720 120088, isAffiliatedTo, 114025 120088, playsFor, 113720 120088, playsFor, 114025 72772, hasGender, 118104 72772, isAffiliatedTo, 113720 72772, isAffiliatedTo, 85797 72772, playsFor, 113720 72772, playsFor, 85797 72772, playsFor, 114025 94647, hasGender, 118104 94647, isAffiliatedTo, 85797 94647, isAffiliatedTo, 114025 94647, playsFor, 85797 94647, playsFor, 114025 26471, hasGender, 118104 26471, isAffiliatedTo, 114025 26471, isAffiliatedTo, 102562 26471, playsFor, 114025 26471, playsFor, 102562 82685, hasGender, 118104 82685, isAffiliatedTo, 37045 82685, isAffiliatedTo, 114025 82685, playsFor, 37045 82685, playsFor, 114025 62705, hasGender, 118104 62705, isAffiliatedTo, 114025 62705, playsFor, 114025 46294, hasGender, 118104 46294, isAffiliatedTo, 114025 46294, wasBornIn, 43433 104950, hasGender, 118104 104950, isAffiliatedTo, 85797 104950, isAffiliatedTo, 37045 104950, playsFor, 10703 104950, playsFor, 85797 104950, playsFor, 37045 104950, playsFor, 114025 104950, playsFor, 47216 67552, hasGender, 118104 10670, hasGender, 118104 10670, isAffiliatedTo, 85797 10670, isAffiliatedTo, 37045 10670, isAffiliatedTo, 114025 10670, playsFor, 85797 10670, playsFor, 114025 10670, wasBornIn, 43433 67089, hasGender, 118104 67089, isAffiliatedTo, 114025 67089, playsFor, 114025 95064, hasGender, 118104 95064, playsFor, 114025 21449, hasGender, 118104 21449, isAffiliatedTo, 114025 21449, playsFor, 114025 21449, wasBornIn, 43433 18836, isAffiliatedTo, 85797 18836, isAffiliatedTo, 22450 18836, isAffiliatedTo, 37045 18836, isAffiliatedTo, 114025 18836, isAffiliatedTo, 102562 18836, playsFor, 22450 18836, playsFor, 102562 77277, hasGender, 118104 77277, isAffiliatedTo, 7931 77277, isAffiliatedTo, 37659 77277, isAffiliatedTo, 22450 77277, isAffiliatedTo, 114025 77277, playsFor, 7931 77277, playsFor, 37659 77277, playsFor, 22450 77277, playsFor, 114025 77277, wasBornIn, 43433 59716, hasGender, 118104 59716, isAffiliatedTo, 112842 59716, isAffiliatedTo, 66070 59716, isAffiliatedTo, 114025 59716, playsFor, 112842 59716, playsFor, 66070 59716, playsFor, 114025 46467, hasGender, 118104 46467, isAffiliatedTo, 22450 46467, isAffiliatedTo, 114025 46467, playsFor, 22450 46467, playsFor, 114025 46467, wasBornIn, 43433 Question: How are Lobos_de_la_BUAP and Ricardo_Janota related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Lobos_de_la_BUAP", "Ricardo_Janota" ], "valid_edges": [ [ "Alberto_Quintero_Medina", "hasGender", "male" ], [ "Alberto_Quintero_Medina", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Alberto_Quintero_Medina", "playsFor", "Lobos_de_la_BUAP" ], [ "Alex_Diego", "hasGender", "male" ], [ "Alex_Diego", "isAffiliatedTo", "C.F._Atlante" ], [ "Alex_Diego", "isAffiliatedTo", "Club_Universidad_Nacional" ], [ "Alex_Diego", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Alex_Diego", "playsFor", "C.F._Atlante" ], [ "Alex_Diego", "playsFor", "Club_Universidad_Nacional" ], [ "Alex_Diego", "playsFor", "Lobos_de_la_BUAP" ], [ "Alex_Diego", "wasBornIn", "Mexico_City" ], [ "Aloysius_Gonzaga", "hasGender", "male" ], [ "Aloysius_Gonzaga", "playsFor", "C.F._Atlante" ], [ "Aloysius_Gonzaga", "playsFor", "Lobos_de_la_BUAP" ], [ "Aparecido_Lima", "hasGender", "male" ], [ "Aparecido_Lima", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Aparecido_Lima", "playsFor", "Lobos_de_la_BUAP" ], [ "Boghos_Nubar", "hasGender", "male" ], [ "Boghos_Nubar", "playsFor", "Dorados_de_Sinaloa" ], [ "Boghos_Nubar", "playsFor", "Lobos_de_la_BUAP" ], [ "Carlos_Muñoz_Cobo", "hasGender", "male" ], [ "Carlos_Muñoz_Cobo", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Carlos_Muñoz_Cobo", "playsFor", "Lobos_de_la_BUAP" ], [ "Cesáreo_Victorino", "hasGender", "male" ], [ "Cesáreo_Victorino", "isAffiliatedTo", "C.F._Pachuca" ], [ "Cesáreo_Victorino", "isAffiliatedTo", "Club_Universidad_Nacional" ], [ "Cesáreo_Victorino", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Cesáreo_Victorino", "playsFor", "C.F._Pachuca" ], [ "Cesáreo_Victorino", "playsFor", "Club_Universidad_Nacional" ], [ "Cesáreo_Victorino", "playsFor", "Lobos_de_la_BUAP" ], [ "Cesáreo_Victorino", "wasBornIn", "Mexico_City" ], [ "Cuauhtémoc_Blanco", "hasGender", "male" ], [ "Cuauhtémoc_Blanco", "isAffiliatedTo", "Dorados_de_Sinaloa" ], [ "Cuauhtémoc_Blanco", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Cuauhtémoc_Blanco", "isAffiliatedTo", "Mexico_national_under-23_football_team" ], [ "Cuauhtémoc_Blanco", "playsFor", "Dorados_de_Sinaloa" ], [ "Cuauhtémoc_Blanco", "playsFor", "Lobos_de_la_BUAP" ], [ "Cuauhtémoc_Blanco", "wasBornIn", "Mexico_City" ], [ "Diego_Cervantes", "hasGender", "male" ], [ "Diego_Cervantes", "isAffiliatedTo", "C.F._Atlante" ], [ "Diego_Cervantes", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Diego_Cervantes", "playsFor", "C.F._Atlante" ], [ "Diego_Cervantes", "playsFor", "Lobos_de_la_BUAP" ], [ "Diego_Cervantes", "wasBornIn", "Mexico_City" ], [ "Diego_Martínez", "hasGender", "male" ], [ "Diego_Martínez", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Diego_Martínez", "isAffiliatedTo", "Tigres_UANL" ], [ "Diego_Martínez", "playsFor", "Tigres_UANL" ], [ "Diego_Martínez", "wasBornIn", "Mexico_City" ], [ "Diego_Ordaz", "hasGender", "male" ], [ "Diego_Ordaz", "isAffiliatedTo", "C.F._Atlante" ], [ "Diego_Ordaz", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Diego_Ordaz", "playsFor", "C.F._Atlante" ], [ "Diego_Ordaz", "playsFor", "Lobos_de_la_BUAP" ], [ "Diego_de_Souza_Gama_Silva", "hasGender", "male" ], [ "Diego_de_Souza_Gama_Silva", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Diego_de_Souza_Gama_Silva", "playsFor", "Lobos_de_la_BUAP" ], [ "Dudu_Paraíba", "hasGender", "male" ], [ "Dudu_Paraíba", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Dudu_Paraíba", "playsFor", "Lobos_de_la_BUAP" ], [ "Eder_Pacheco", "hasGender", "male" ], [ "Eder_Pacheco", "isAffiliatedTo", "Alacranes_de_Durango" ], [ "Eder_Pacheco", "isAffiliatedTo", "Club_León" ], [ "Eder_Pacheco", "playsFor", "Alacranes_de_Durango" ], [ "Eder_Pacheco", "playsFor", "Club_León" ], [ "Eder_Pacheco", "playsFor", "Lobos_de_la_BUAP" ], [ "Edson_Zwaricz", "hasGender", "male" ], [ "Edson_Zwaricz", "isAffiliatedTo", "Alacranes_de_Durango" ], [ "Edson_Zwaricz", "isAffiliatedTo", "Dorados_de_Sinaloa" ], [ "Edson_Zwaricz", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Edson_Zwaricz", "playsFor", "Alacranes_de_Durango" ], [ "Edson_Zwaricz", "playsFor", "Dorados_de_Sinaloa" ], [ "Edson_Zwaricz", "playsFor", "Lobos_de_la_BUAP" ], [ "Edwin_Borboa", "hasGender", "male" ], [ "Edwin_Borboa", "isAffiliatedTo", "C.F._Atlante" ], [ "Edwin_Borboa", "isAffiliatedTo", "C.F._Pachuca" ], [ "Edwin_Borboa", "isAffiliatedTo", "Club_León" ], [ "Edwin_Borboa", "isAffiliatedTo", "Dorados_de_Sinaloa" ], [ "Edwin_Borboa", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Edwin_Borboa", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Edwin_Borboa", "playsFor", "C.F._Atlante" ], [ "Edwin_Borboa", "playsFor", "C.F._Pachuca" ], [ "Edwin_Borboa", "playsFor", "Club_León" ], [ "Edwin_Borboa", "playsFor", "Dorados_de_Sinaloa" ], [ "Edwin_Borboa", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Edwin_Borboa", "playsFor", "Lobos_de_la_BUAP" ], [ "Felipe_Quintero", "hasGender", "male" ], [ "Felipe_Quintero", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Felipe_Quintero", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Felipe_Quintero", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Felipe_Quintero", "playsFor", "Lobos_de_la_BUAP" ], [ "Hebert_Alférez", "hasGender", "male" ], [ "Hebert_Alférez", "isAffiliatedTo", "Club_Atlas" ], [ "Hebert_Alférez", "isAffiliatedTo", "Dorados_de_Sinaloa" ], [ "Hebert_Alférez", "playsFor", "C.F._Atlante" ], [ "Hebert_Alférez", "playsFor", "Club_Atlas" ], [ "Hebert_Alférez", "playsFor", "Dorados_de_Sinaloa" ], [ "Hebert_Alférez", "playsFor", "Lobos_de_la_BUAP" ], [ "Hiber_Ruíz", "hasGender", "male" ], [ "Hiber_Ruíz", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Hiber_Ruíz", "playsFor", "Lobos_de_la_BUAP" ], [ "Hugo_Fernández", "hasGender", "male" ], [ "Hugo_Fernández", "isAffiliatedTo", "Club_Atlas" ], [ "Hugo_Fernández", "isAffiliatedTo", "Dorados_de_Sinaloa" ], [ "Hugo_Fernández", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Hugo_Fernández", "isAffiliatedTo", "Tigres_UANL" ], [ "Hugo_Fernández", "playsFor", "Club_Atlas" ], [ "Ismael_Íñiguez", "hasGender", "male" ], [ "Ismael_Íñiguez", "isAffiliatedTo", "Club_Universidad_Nacional" ], [ "Ismael_Íñiguez", "isAffiliatedTo", "Correcaminos_UAT" ], [ "Ismael_Íñiguez", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Ismael_Íñiguez", "playsFor", "Club_Universidad_Nacional" ], [ "Ismael_Íñiguez", "playsFor", "Correcaminos_UAT" ], [ "Ismael_Íñiguez", "playsFor", "Lobos_de_la_BUAP" ], [ "Jair_García", "hasGender", "male" ], [ "Jair_García", "isAffiliatedTo", "Club_Atlas" ], [ "Jair_García", "isAffiliatedTo", "Club_León" ], [ "Jair_García", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Jair_García", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Jair_García", "playsFor", "Club_Atlas" ], [ "Jair_García", "playsFor", "Club_León" ], [ "Jair_García", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Jair_García", "playsFor", "Lobos_de_la_BUAP" ], [ "Jesús_Olalde", "hasGender", "male" ], [ "Jesús_Olalde", "isAffiliatedTo", "C.F._Atlante" ], [ "Jesús_Olalde", "isAffiliatedTo", "Club_Universidad_Nacional" ], [ "Jesús_Olalde", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Jesús_Olalde", "isAffiliatedTo", "Tigres_UANL" ], [ "Jesús_Olalde", "playsFor", "C.F._Atlante" ], [ "Jesús_Olalde", "playsFor", "Club_Universidad_Nacional" ], [ "Jesús_Olalde", "playsFor", "Lobos_de_la_BUAP" ], [ "Jesús_Olalde", "playsFor", "Tigres_UANL" ], [ "Jesús_Olalde", "wasBornIn", "Mexico_City" ], [ "Joaquín_Reyes_(footballer)", "hasGender", "male" ], [ "Joaquín_Reyes_(footballer)", "isAffiliatedTo", "Alacranes_de_Durango" ], [ "Joaquín_Reyes_(footballer)", "isAffiliatedTo", "Club_León" ], [ "Joaquín_Reyes_(footballer)", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Joaquín_Reyes_(footballer)", "playsFor", "Alacranes_de_Durango" ], [ "Joaquín_Reyes_(footballer)", "playsFor", "Club_León" ], [ "Joaquín_Reyes_(footballer)", "playsFor", "Lobos_de_la_BUAP" ], [ "Juan_Augusto_Gómez", "hasGender", "male" ], [ "Juan_Augusto_Gómez", "isAffiliatedTo", "Correcaminos_UAT" ], [ "Juan_Augusto_Gómez", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Juan_Augusto_Gómez", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Juan_Augusto_Gómez", "isAffiliatedTo", "Tigres_UANL" ], [ "Juan_Augusto_Gómez", "playsFor", "Correcaminos_UAT" ], [ "Juan_Augusto_Gómez", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Juan_Augusto_Gómez", "playsFor", "Lobos_de_la_BUAP" ], [ "Juan_Augusto_Gómez", "playsFor", "Tigres_UANL" ], [ "Juan_Pablo_Alfaro", "hasGender", "male" ], [ "Juan_Pablo_Alfaro", "isAffiliatedTo", "C.F._Pachuca" ], [ "Juan_Pablo_Alfaro", "isAffiliatedTo", "Deportivo_Toluca_F.C." ], [ "Juan_Pablo_Alfaro", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Juan_Pablo_Alfaro", "playsFor", "C.F._Pachuca" ], [ "Juan_Pablo_Alfaro", "playsFor", "Lobos_de_la_BUAP" ], [ "Juan_Pablo_Úbeda", "hasGender", "male" ], [ "Juan_Pablo_Úbeda", "playsFor", "Lobos_de_la_BUAP" ], [ "Juan_Sara", "hasGender", "male" ], [ "Juan_Sara", "isAffiliatedTo", "Correcaminos_UAT" ], [ "Juan_Sara", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Juan_Sara", "playsFor", "Correcaminos_UAT" ], [ "Juan_Sara", "playsFor", "Lobos_de_la_BUAP" ], [ "Juan_de_Dios_Hernández", "hasGender", "male" ], [ "Juan_de_Dios_Hernández", "playsFor", "C.F._Atlante" ], [ "Juan_de_Dios_Hernández", "playsFor", "Dorados_de_Sinaloa" ], [ "Juan_de_Dios_Hernández", "playsFor", "Lobos_de_la_BUAP" ], [ "Juan_de_Dios_Ibarra", "hasGender", "male" ], [ "Juan_de_Dios_Ibarra", "isAffiliatedTo", "Alacranes_de_Durango" ], [ "Juan_de_Dios_Ibarra", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Juan_de_Dios_Ibarra", "playsFor", "Alacranes_de_Durango" ], [ "Juan_de_Dios_Ibarra", "playsFor", "Lobos_de_la_BUAP" ], [ "Luis_Gabriel_Rey", "hasGender", "male" ], [ "Luis_Gabriel_Rey", "isAffiliatedTo", "C.F._Atlante" ], [ "Luis_Gabriel_Rey", "isAffiliatedTo", "C.F._Pachuca" ], [ "Luis_Gabriel_Rey", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Luis_Gabriel_Rey", "playsFor", "C.F._Atlante" ], [ "Luis_Gabriel_Rey", "playsFor", "C.F._Pachuca" ], [ "Luis_Gabriel_Rey", "playsFor", "Lobos_de_la_BUAP" ], [ "Luis_Hernández_(footballer)", "hasGender", "male" ], [ "Luis_Hernández_(footballer)", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Luis_Hernández_(footballer)", "isAffiliatedTo", "Tigres_UANL" ], [ "Luis_Hernández_(footballer)", "playsFor", "Tigres_UANL" ], [ "Luis_Ignacio_Quinteros", "hasGender", "male" ], [ "Luis_Ignacio_Quinteros", "isAffiliatedTo", "Club_León" ], [ "Luis_Ignacio_Quinteros", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Luis_Ignacio_Quinteros", "playsFor", "Club_León" ], [ "Luis_Ignacio_Quinteros", "playsFor", "Lobos_de_la_BUAP" ], [ "Manuel_de_la_Torre", "hasGender", "male" ], [ "Manuel_de_la_Torre", "isAffiliatedTo", "Club_Universidad_Nacional" ], [ "Manuel_de_la_Torre", "isAffiliatedTo", "Deportivo_Toluca_F.C." ], [ "Manuel_de_la_Torre", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Manuel_de_la_Torre", "isAffiliatedTo", "Tigres_UANL" ], [ "Manuel_de_la_Torre", "playsFor", "Club_Universidad_Nacional" ], [ "Manuel_de_la_Torre", "playsFor", "Deportivo_Toluca_F.C." ], [ "Manuel_de_la_Torre", "playsFor", "Lobos_de_la_BUAP" ], [ "Manuel_de_la_Torre", "playsFor", "Tigres_UANL" ], [ "Manuel_de_la_Torre", "wasBornIn", "Mexico_City" ], [ "Marco_Capetillo", "isAffiliatedTo", "C.F._Atlante" ], [ "Marco_Capetillo", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Marco_Capetillo", "playsFor", "C.F._Atlante" ], [ "Marco_Capetillo", "playsFor", "Lobos_de_la_BUAP" ], [ "Marco_Capetillo", "wasBornIn", "Mexico_City" ], [ "Marco_Vidal", "hasGender", "male" ], [ "Marco_Vidal", "isAffiliatedTo", "C.F._Pachuca" ], [ "Marco_Vidal", "isAffiliatedTo", "Club_León" ], [ "Marco_Vidal", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Marco_Vidal", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Marco_Vidal", "isAffiliatedTo", "Tigres_UANL" ], [ "Marco_Vidal", "playsFor", "C.F._Pachuca" ], [ "Marco_Vidal", "playsFor", "Club_León" ], [ "Marco_Vidal", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Marco_Vidal", "playsFor", "Lobos_de_la_BUAP" ], [ "Marco_Vidal", "playsFor", "Tigres_UANL" ], [ "Mario_Cáceres", "hasGender", "male" ], [ "Mario_Cáceres", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Mario_Cáceres", "playsFor", "Lobos_de_la_BUAP" ], [ "Mario_Rodríguez_Cervantes", "hasGender", "male" ], [ "Mario_Rodríguez_Cervantes", "isAffiliatedTo", "Club_Atlas" ], [ "Mario_Rodríguez_Cervantes", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Mario_Rodríguez_Cervantes", "playsFor", "Club_Atlas" ], [ "Mario_Rodríguez_Cervantes", "playsFor", "Lobos_de_la_BUAP" ], [ "Omar_Flores", "hasGender", "male" ], [ "Omar_Flores", "isAffiliatedTo", "Club_Atlas" ], [ "Omar_Flores", "isAffiliatedTo", "Club_León" ], [ "Omar_Flores", "playsFor", "Club_Atlas" ], [ "Omar_Flores", "playsFor", "Club_León" ], [ "Omar_Flores", "playsFor", "Lobos_de_la_BUAP" ], [ "Omar_Monjaraz", "hasGender", "male" ], [ "Omar_Monjaraz", "isAffiliatedTo", "Club_León" ], [ "Omar_Monjaraz", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Omar_Monjaraz", "playsFor", "Club_León" ], [ "Omar_Monjaraz", "playsFor", "Lobos_de_la_BUAP" ], [ "Oscar_Dautt", "hasGender", "male" ], [ "Oscar_Dautt", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Oscar_Dautt", "isAffiliatedTo", "Tigres_UANL" ], [ "Oscar_Dautt", "playsFor", "Lobos_de_la_BUAP" ], [ "Oscar_Dautt", "playsFor", "Tigres_UANL" ], [ "Pablo_Metlich", "hasGender", "male" ], [ "Pablo_Metlich", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Pablo_Metlich", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Pablo_Metlich", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Pablo_Metlich", "playsFor", "Lobos_de_la_BUAP" ], [ "Paulo_Garcés", "hasGender", "male" ], [ "Paulo_Garcés", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Paulo_Garcés", "playsFor", "Lobos_de_la_BUAP" ], [ "Raúl_Lara", "hasGender", "male" ], [ "Raúl_Lara", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Raúl_Lara", "wasBornIn", "Mexico_City" ], [ "Raúl_Martínez_(footballer)", "hasGender", "male" ], [ "Raúl_Martínez_(footballer)", "isAffiliatedTo", "Club_León" ], [ "Raúl_Martínez_(footballer)", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Raúl_Martínez_(footballer)", "playsFor", "C.F._Pachuca" ], [ "Raúl_Martínez_(footballer)", "playsFor", "Club_León" ], [ "Raúl_Martínez_(footballer)", "playsFor", "Indios_de_Ciudad_Juárez" ], [ "Raúl_Martínez_(footballer)", "playsFor", "Lobos_de_la_BUAP" ], [ "Raúl_Martínez_(footballer)", "playsFor", "Mexico_national_under-23_football_team" ], [ "Ricardo_Janota", "hasGender", "male" ], [ "Ricardo_Mauricio_Martínez", "hasGender", "male" ], [ "Ricardo_Mauricio_Martínez", "isAffiliatedTo", "Club_León" ], [ "Ricardo_Mauricio_Martínez", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Ricardo_Mauricio_Martínez", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Ricardo_Mauricio_Martínez", "playsFor", "Club_León" ], [ "Ricardo_Mauricio_Martínez", "playsFor", "Lobos_de_la_BUAP" ], [ "Ricardo_Mauricio_Martínez", "wasBornIn", "Mexico_City" ], [ "Ricardo_Parada", "hasGender", "male" ], [ "Ricardo_Parada", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Ricardo_Parada", "playsFor", "Lobos_de_la_BUAP" ], [ "Roberto_Eduardo_Carboni", "hasGender", "male" ], [ "Roberto_Eduardo_Carboni", "playsFor", "Lobos_de_la_BUAP" ], [ "Rodrigo_Íñigo", "hasGender", "male" ], [ "Rodrigo_Íñigo", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Rodrigo_Íñigo", "playsFor", "Lobos_de_la_BUAP" ], [ "Rodrigo_Íñigo", "wasBornIn", "Mexico_City" ], [ "Sergio_Orduña", "isAffiliatedTo", "Club_León" ], [ "Sergio_Orduña", "isAffiliatedTo", "Correcaminos_UAT" ], [ "Sergio_Orduña", "isAffiliatedTo", "Indios_de_Ciudad_Juárez" ], [ "Sergio_Orduña", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Sergio_Orduña", "isAffiliatedTo", "Tigres_UANL" ], [ "Sergio_Orduña", "playsFor", "Correcaminos_UAT" ], [ "Sergio_Orduña", "playsFor", "Tigres_UANL" ], [ "Tomás_Domínguez", "hasGender", "male" ], [ "Tomás_Domínguez", "isAffiliatedTo", "Alacranes_de_Durango" ], [ "Tomás_Domínguez", "isAffiliatedTo", "C.F._Atlante" ], [ "Tomás_Domínguez", "isAffiliatedTo", "Correcaminos_UAT" ], [ "Tomás_Domínguez", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Tomás_Domínguez", "playsFor", "Alacranes_de_Durango" ], [ "Tomás_Domínguez", "playsFor", "C.F._Atlante" ], [ "Tomás_Domínguez", "playsFor", "Correcaminos_UAT" ], [ "Tomás_Domínguez", "playsFor", "Lobos_de_la_BUAP" ], [ "Tomás_Domínguez", "wasBornIn", "Mexico_City" ], [ "Álvaro_Fabián_González", "hasGender", "male" ], [ "Álvaro_Fabián_González", "isAffiliatedTo", "Club_Universidad_Nacional" ], [ "Álvaro_Fabián_González", "isAffiliatedTo", "Dorados_de_Sinaloa" ], [ "Álvaro_Fabián_González", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Álvaro_Fabián_González", "playsFor", "Club_Universidad_Nacional" ], [ "Álvaro_Fabián_González", "playsFor", "Dorados_de_Sinaloa" ], [ "Álvaro_Fabián_González", "playsFor", "Lobos_de_la_BUAP" ], [ "Ángel_Sosa", "hasGender", "male" ], [ "Ángel_Sosa", "isAffiliatedTo", "Correcaminos_UAT" ], [ "Ángel_Sosa", "isAffiliatedTo", "Lobos_de_la_BUAP" ], [ "Ángel_Sosa", "playsFor", "Correcaminos_UAT" ], [ "Ángel_Sosa", "playsFor", "Lobos_de_la_BUAP" ], [ "Ángel_Sosa", "wasBornIn", "Mexico_City" ] ], "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 60839, A.C._Reggiana_1919 81345, Angelo_Pagotto 38240, Davide_Matteini 12962, Dynamo_Dresden 9692, Empoli_F.C. 16198, Gianluca_Berti 28619, Johnny_Ekström 9262, Luca_Bucci 55311, Luca_Castiglia 93612, Max_Tonetto 54501, Nico_Patschinski 15093, Nicola_Padoin 96349, Riccardo_Allegretti 49054, Riccardo_Nardini 105972, Walter_Mazzarri 69332, Zlatko_Dedić 104796, Zlatko_Dedič src, edge_attr, dst 81345, isAffiliatedTo, 60839 81345, isAffiliatedTo, 9692 81345, playsFor, 60839 81345, playsFor, 9692 38240, isAffiliatedTo, 60839 38240, isAffiliatedTo, 9692 38240, playsFor, 60839 38240, playsFor, 9692 16198, isAffiliatedTo, 60839 16198, isAffiliatedTo, 9692 16198, playsFor, 60839 16198, playsFor, 9692 28619, isAffiliatedTo, 60839 28619, isAffiliatedTo, 12962 28619, isAffiliatedTo, 9692 28619, playsFor, 60839 28619, playsFor, 12962 28619, playsFor, 9692 9262, isAffiliatedTo, 60839 9262, isAffiliatedTo, 9692 9262, playsFor, 60839 9262, playsFor, 9692 55311, isAffiliatedTo, 60839 55311, isAffiliatedTo, 9692 55311, playsFor, 60839 55311, playsFor, 9692 93612, isAffiliatedTo, 60839 93612, isAffiliatedTo, 9692 93612, playsFor, 60839 93612, playsFor, 9692 54501, isAffiliatedTo, 12962 54501, playsFor, 12962 15093, playsFor, 60839 15093, playsFor, 9692 96349, playsFor, 60839 96349, playsFor, 9692 49054, isAffiliatedTo, 60839 49054, isAffiliatedTo, 9692 49054, playsFor, 60839 49054, playsFor, 9692 105972, isAffiliatedTo, 60839 105972, isAffiliatedTo, 9692 105972, playsFor, 60839 105972, playsFor, 9692 69332, isAffiliatedTo, 12962 69332, isAffiliatedTo, 9692 69332, playsFor, 12962 69332, playsFor, 9692 104796, isAffiliatedTo, 12962 104796, isAffiliatedTo, 9692 Question: How are Gianluca_Berti and Nico_Patschinski related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gianluca_Berti", "Nico_Patschinski" ], "valid_edges": [ [ "Angelo_Pagotto", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Angelo_Pagotto", "isAffiliatedTo", "Empoli_F.C." ], [ "Angelo_Pagotto", "playsFor", "A.C._Reggiana_1919" ], [ "Angelo_Pagotto", "playsFor", "Empoli_F.C." ], [ "Davide_Matteini", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Davide_Matteini", "isAffiliatedTo", "Empoli_F.C." ], [ "Davide_Matteini", "playsFor", "A.C._Reggiana_1919" ], [ "Davide_Matteini", "playsFor", "Empoli_F.C." ], [ "Gianluca_Berti", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Gianluca_Berti", "isAffiliatedTo", "Empoli_F.C." ], [ "Gianluca_Berti", "playsFor", "A.C._Reggiana_1919" ], [ "Gianluca_Berti", "playsFor", "Empoli_F.C." ], [ "Johnny_Ekström", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Johnny_Ekström", "isAffiliatedTo", "Dynamo_Dresden" ], [ "Johnny_Ekström", "isAffiliatedTo", "Empoli_F.C." ], [ "Johnny_Ekström", "playsFor", "A.C._Reggiana_1919" ], [ "Johnny_Ekström", "playsFor", "Dynamo_Dresden" ], [ "Johnny_Ekström", "playsFor", "Empoli_F.C." ], [ "Luca_Bucci", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Luca_Bucci", "isAffiliatedTo", "Empoli_F.C." ], [ "Luca_Bucci", "playsFor", "A.C._Reggiana_1919" ], [ "Luca_Bucci", "playsFor", "Empoli_F.C." ], [ "Luca_Castiglia", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Luca_Castiglia", "isAffiliatedTo", "Empoli_F.C." ], [ "Luca_Castiglia", "playsFor", "A.C._Reggiana_1919" ], [ "Luca_Castiglia", "playsFor", "Empoli_F.C." ], [ "Max_Tonetto", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Max_Tonetto", "isAffiliatedTo", "Empoli_F.C." ], [ "Max_Tonetto", "playsFor", "A.C._Reggiana_1919" ], [ "Max_Tonetto", "playsFor", "Empoli_F.C." ], [ "Nico_Patschinski", "isAffiliatedTo", "Dynamo_Dresden" ], [ "Nico_Patschinski", "playsFor", "Dynamo_Dresden" ], [ "Nicola_Padoin", "playsFor", "A.C._Reggiana_1919" ], [ "Nicola_Padoin", "playsFor", "Empoli_F.C." ], [ "Riccardo_Allegretti", "playsFor", "A.C._Reggiana_1919" ], [ "Riccardo_Allegretti", "playsFor", "Empoli_F.C." ], [ "Riccardo_Nardini", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Riccardo_Nardini", "isAffiliatedTo", "Empoli_F.C." ], [ "Riccardo_Nardini", "playsFor", "A.C._Reggiana_1919" ], [ "Riccardo_Nardini", "playsFor", "Empoli_F.C." ], [ "Walter_Mazzarri", "isAffiliatedTo", "A.C._Reggiana_1919" ], [ "Walter_Mazzarri", "isAffiliatedTo", "Empoli_F.C." ], [ "Walter_Mazzarri", "playsFor", "A.C._Reggiana_1919" ], [ "Walter_Mazzarri", "playsFor", "Empoli_F.C." ], [ "Zlatko_Dedić", "isAffiliatedTo", "Dynamo_Dresden" ], [ "Zlatko_Dedić", "isAffiliatedTo", "Empoli_F.C." ], [ "Zlatko_Dedić", "playsFor", "Dynamo_Dresden" ], [ "Zlatko_Dedić", "playsFor", "Empoli_F.C." ], [ "Zlatko_Dedič", "isAffiliatedTo", "Dynamo_Dresden" ], [ "Zlatko_Dedič", "isAffiliatedTo", "Empoli_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 106823, Aleksandar_Komadina 57968, Aleksandar_Vasiljević_(footballer) 118925, Alfred_Arthur 73309, Anđelko_Đuričić 81306, Bogdan_Marjanović 110677, Borko_Milenković 21809, Budimir_Janošević 65487, Dajan_Šimac 105466, Danilo_Pustinjaković 103868, Dario_Damjanović 56348, Dejan_Radosavljević 39622, Dejan_Stamenković 97462, Dejan_Đenić 75713, Dragiša_Žunić 96954, FK_Bežanija 6459, FK_Hajduk_Kula 22840, FK_Jagodina 22504, FK_Leotar 34918, FK_Metalac 40765, FK_Mladi_Radnik 107760, FK_Novi_Pazar 52627, FK_Radnički_Niš 18790, FK_Sevojno 7684, FK_Sinđelić_Niš 34652, Francis_Bossman 81201, Igor_Pavlović 81468, Irfan_Vušljanin 24132, Ivan_Cvetković 122390, Ivan_Dragičević 120592, Ivan_Milenković 70476, Ivan_Petrović 81564, Jovica_Nikolić 74400, Marcelo_Santiago 7542, Marko_Mugoša 79072, Marko_Simić 37624, Milan_Bojović 104355, Milan_Perić 58523, Miloš_Krstić 5369, Miloš_Nikolić 46591, Miloš_Ristanović 71975, Miloš_Stojanović 88740, Miloš_Živković_(footballer_born_1984_in_Niš) 40524, Miloš_Živković_(footballer_born_1985) 56984, Miroslav_Savanović 64127, Márcio_Teruel 39664, Nenad_Nastić 59993, Nenad_Vasić 51089, Nenad_Šljivić 84167, Nikola_Valentić 71294, Niš 39405, Paul_McLaren 62, Perica_Ognjenović 46556, Predrag_Ranđelović_(born_1990) 56542, Radoš_Protić 111752, Sakya_Trizin 57068, Saša_Cilinšek 35585, Sead_Hadžibulić 45172, Srđan_Novković 25399, Vasilije_Prodanović 22707, Vladimir_Milenković 68047, Vladimir_Đilas 92841, Zoran_Vasković 9996, Zvonko_Milojević 118104, male src, edge_attr, dst 106823, hasGender, 118104 106823, isAffiliatedTo, 22840 106823, isAffiliatedTo, 52627 106823, isAffiliatedTo, 7684 106823, playsFor, 22840 106823, playsFor, 52627 106823, playsFor, 7684 106823, wasBornIn, 71294 57968, hasGender, 118104 57968, playsFor, 96954 57968, playsFor, 6459 57968, playsFor, 22840 57968, playsFor, 22504 57968, playsFor, 40765 57968, playsFor, 18790 118925, hasGender, 118104 118925, isAffiliatedTo, 22840 118925, playsFor, 22840 73309, hasGender, 118104 73309, isAffiliatedTo, 6459 73309, playsFor, 6459 73309, playsFor, 22840 81306, hasGender, 118104 81306, isAffiliatedTo, 22840 81306, playsFor, 22840 110677, hasGender, 118104 110677, isAffiliatedTo, 22840 110677, isAffiliatedTo, 107760 110677, playsFor, 22840 110677, playsFor, 107760 21809, hasGender, 118104 21809, isAffiliatedTo, 22840 21809, playsFor, 22840 65487, hasGender, 118104 65487, isAffiliatedTo, 22840 65487, playsFor, 22840 105466, hasGender, 118104 105466, isAffiliatedTo, 22840 105466, isAffiliatedTo, 107760 105466, playsFor, 22840 105466, playsFor, 107760 103868, hasGender, 118104 103868, isAffiliatedTo, 22840 103868, isAffiliatedTo, 107760 103868, playsFor, 22840 103868, playsFor, 107760 56348, hasGender, 118104 56348, isAffiliatedTo, 22840 56348, isAffiliatedTo, 107760 56348, isAffiliatedTo, 52627 56348, isAffiliatedTo, 18790 56348, playsFor, 22840 56348, playsFor, 107760 56348, playsFor, 52627 56348, playsFor, 18790 39622, hasGender, 118104 39622, isAffiliatedTo, 22840 39622, isAffiliatedTo, 34918 39622, playsFor, 22840 39622, playsFor, 34918 97462, hasGender, 118104 97462, isAffiliatedTo, 96954 97462, isAffiliatedTo, 22840 97462, isAffiliatedTo, 107760 97462, playsFor, 96954 97462, playsFor, 22840 97462, playsFor, 107760 75713, hasGender, 118104 75713, isAffiliatedTo, 22840 75713, isAffiliatedTo, 34918 75713, playsFor, 22840 75713, playsFor, 34918 34652, hasGender, 118104 34652, playsFor, 22840 81201, hasGender, 118104 81201, isAffiliatedTo, 22840 81201, isAffiliatedTo, 107760 81201, playsFor, 22840 81201, playsFor, 107760 81468, hasGender, 118104 81468, isAffiliatedTo, 22840 81468, isAffiliatedTo, 107760 81468, isAffiliatedTo, 18790 81468, playsFor, 22840 81468, playsFor, 107760 81468, playsFor, 18790 24132, hasGender, 118104 24132, isAffiliatedTo, 22840 24132, playsFor, 22840 122390, hasGender, 118104 122390, isAffiliatedTo, 22840 122390, isAffiliatedTo, 52627 122390, playsFor, 22840 122390, playsFor, 52627 120592, hasGender, 118104 120592, isAffiliatedTo, 22840 120592, isAffiliatedTo, 40765 120592, isAffiliatedTo, 52627 120592, isAffiliatedTo, 7684 120592, playsFor, 22840 120592, playsFor, 40765 120592, playsFor, 52627 120592, playsFor, 7684 120592, wasBornIn, 71294 70476, hasGender, 118104 70476, isAffiliatedTo, 22840 70476, playsFor, 22840 81564, hasGender, 118104 81564, isAffiliatedTo, 22840 81564, playsFor, 22840 74400, hasGender, 118104 74400, playsFor, 22840 7542, hasGender, 118104 7542, isAffiliatedTo, 22840 7542, isAffiliatedTo, 107760 7542, playsFor, 22840 7542, playsFor, 107760 79072, hasGender, 118104 79072, isAffiliatedTo, 96954 79072, isAffiliatedTo, 22840 79072, playsFor, 96954 79072, playsFor, 22840 37624, hasGender, 118104 37624, isAffiliatedTo, 22840 37624, playsFor, 22840 104355, hasGender, 118104 104355, isAffiliatedTo, 6459 104355, isAffiliatedTo, 22840 104355, isAffiliatedTo, 34918 104355, isAffiliatedTo, 40765 104355, playsFor, 6459 104355, playsFor, 22840 104355, playsFor, 34918 104355, playsFor, 40765 58523, hasGender, 118104 58523, isAffiliatedTo, 22840 58523, isAffiliatedTo, 52627 58523, playsFor, 22840 58523, playsFor, 52627 5369, hasGender, 118104 5369, isAffiliatedTo, 22840 5369, isAffiliatedTo, 34918 5369, playsFor, 22840 5369, playsFor, 34918 46591, isAffiliatedTo, 22840 46591, isAffiliatedTo, 34918 46591, isAffiliatedTo, 18790 46591, playsFor, 22840 46591, playsFor, 34918 46591, playsFor, 18790 71975, hasGender, 118104 71975, playsFor, 22840 71975, playsFor, 107760 71975, playsFor, 52627 88740, hasGender, 118104 88740, playsFor, 22840 88740, playsFor, 34918 88740, playsFor, 107760 88740, playsFor, 52627 88740, playsFor, 7684 40524, hasGender, 118104 40524, isAffiliatedTo, 96954 40524, isAffiliatedTo, 6459 40524, isAffiliatedTo, 22840 40524, playsFor, 6459 40524, playsFor, 22840 56984, isAffiliatedTo, 22840 56984, isAffiliatedTo, 40765 56984, playsFor, 22840 56984, playsFor, 40765 64127, hasGender, 118104 64127, playsFor, 22840 39664, hasGender, 118104 39664, isAffiliatedTo, 22840 39664, isAffiliatedTo, 22504 39664, playsFor, 22840 39664, playsFor, 22504 59993, hasGender, 118104 59993, isAffiliatedTo, 22840 59993, playsFor, 22840 51089, hasGender, 118104 51089, isAffiliatedTo, 22840 51089, playsFor, 22840 84167, hasGender, 118104 84167, isAffiliatedTo, 22840 84167, playsFor, 22840 39405, hasGender, 118104 62, hasGender, 118104 62, isAffiliatedTo, 22840 62, playsFor, 22840 46556, hasGender, 118104 46556, playsFor, 22840 56542, isAffiliatedTo, 22840 56542, isAffiliatedTo, 22504 56542, isAffiliatedTo, 107760 56542, playsFor, 22840 56542, playsFor, 22504 56542, playsFor, 107760 111752, hasGender, 118104 111752, playsFor, 6459 111752, playsFor, 22840 57068, hasGender, 118104 57068, isAffiliatedTo, 22840 57068, playsFor, 22840 35585, hasGender, 118104 35585, isAffiliatedTo, 6459 35585, isAffiliatedTo, 22840 35585, isAffiliatedTo, 107760 35585, isAffiliatedTo, 52627 35585, playsFor, 6459 35585, playsFor, 22840 35585, playsFor, 107760 35585, playsFor, 52627 45172, hasGender, 118104 45172, isAffiliatedTo, 6459 45172, isAffiliatedTo, 22840 45172, playsFor, 6459 45172, playsFor, 22840 25399, hasGender, 118104 25399, isAffiliatedTo, 96954 25399, isAffiliatedTo, 22840 25399, isAffiliatedTo, 107760 25399, playsFor, 96954 25399, playsFor, 22840 25399, playsFor, 107760 22707, hasGender, 118104 22707, playsFor, 22840 22707, playsFor, 52627 68047, hasGender, 118104 68047, isAffiliatedTo, 96954 68047, isAffiliatedTo, 22840 68047, isAffiliatedTo, 34918 68047, playsFor, 96954 68047, playsFor, 22840 68047, playsFor, 34918 92841, hasGender, 118104 92841, isAffiliatedTo, 22840 92841, isAffiliatedTo, 52627 92841, playsFor, 22840 92841, playsFor, 52627 92841, wasBornIn, 71294 9996, hasGender, 118104 9996, isAffiliatedTo, 22840 Question: In what context are FK_Jagodina and Paul_McLaren connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "FK_Jagodina", "Paul_McLaren" ], "valid_edges": [ [ "Aleksandar_Komadina", "hasGender", "male" ], [ "Aleksandar_Komadina", "isAffiliatedTo", "FK_Jagodina" ], [ "Aleksandar_Komadina", "isAffiliatedTo", "FK_Radnički_Niš" ], [ "Aleksandar_Komadina", "isAffiliatedTo", "FK_Sinđelić_Niš" ], [ "Aleksandar_Komadina", "playsFor", "FK_Jagodina" ], [ "Aleksandar_Komadina", "playsFor", "FK_Radnički_Niš" ], [ "Aleksandar_Komadina", "playsFor", "FK_Sinđelić_Niš" ], [ "Aleksandar_Komadina", "wasBornIn", "Niš" ], [ "Aleksandar_Vasiljević_(footballer)", "hasGender", "male" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Bežanija" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Hajduk_Kula" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Jagodina" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Leotar" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Mladi_Radnik" ], [ "Aleksandar_Vasiljević_(footballer)", "playsFor", "FK_Sevojno" ], [ "Alfred_Arthur", "hasGender", "male" ], [ "Alfred_Arthur", "isAffiliatedTo", "FK_Jagodina" ], [ "Alfred_Arthur", "playsFor", "FK_Jagodina" ], [ "Anđelko_Đuričić", "hasGender", "male" ], [ "Anđelko_Đuričić", "isAffiliatedTo", "FK_Hajduk_Kula" ], [ "Anđelko_Đuričić", "playsFor", "FK_Hajduk_Kula" ], [ "Anđelko_Đuričić", "playsFor", "FK_Jagodina" ], [ "Bogdan_Marjanović", "hasGender", "male" ], [ "Bogdan_Marjanović", "isAffiliatedTo", "FK_Jagodina" ], [ "Bogdan_Marjanović", "playsFor", "FK_Jagodina" ], [ "Borko_Milenković", "hasGender", "male" ], [ "Borko_Milenković", "isAffiliatedTo", "FK_Jagodina" ], [ "Borko_Milenković", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Borko_Milenković", "playsFor", "FK_Jagodina" ], [ "Borko_Milenković", "playsFor", "FK_Novi_Pazar" ], [ "Budimir_Janošević", "hasGender", "male" ], [ "Budimir_Janošević", "isAffiliatedTo", "FK_Jagodina" ], [ "Budimir_Janošević", "playsFor", "FK_Jagodina" ], [ "Dajan_Šimac", "hasGender", "male" ], [ "Dajan_Šimac", "isAffiliatedTo", "FK_Jagodina" ], [ "Dajan_Šimac", "playsFor", "FK_Jagodina" ], [ "Danilo_Pustinjaković", "hasGender", "male" ], [ "Danilo_Pustinjaković", "isAffiliatedTo", "FK_Jagodina" ], [ "Danilo_Pustinjaković", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Danilo_Pustinjaković", "playsFor", "FK_Jagodina" ], [ "Danilo_Pustinjaković", "playsFor", "FK_Novi_Pazar" ], [ "Dario_Damjanović", "hasGender", "male" ], [ "Dario_Damjanović", "isAffiliatedTo", "FK_Jagodina" ], [ "Dario_Damjanović", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Dario_Damjanović", "playsFor", "FK_Jagodina" ], [ "Dario_Damjanović", "playsFor", "FK_Novi_Pazar" ], [ "Dejan_Radosavljević", "hasGender", "male" ], [ "Dejan_Radosavljević", "isAffiliatedTo", "FK_Jagodina" ], [ "Dejan_Radosavljević", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Dejan_Radosavljević", "isAffiliatedTo", "FK_Radnički_Niš" ], [ "Dejan_Radosavljević", "isAffiliatedTo", "FK_Sevojno" ], [ "Dejan_Radosavljević", "playsFor", "FK_Jagodina" ], [ "Dejan_Radosavljević", "playsFor", "FK_Novi_Pazar" ], [ "Dejan_Radosavljević", "playsFor", "FK_Radnički_Niš" ], [ "Dejan_Radosavljević", "playsFor", "FK_Sevojno" ], [ "Dejan_Stamenković", "hasGender", "male" ], [ "Dejan_Stamenković", "isAffiliatedTo", "FK_Jagodina" ], [ "Dejan_Stamenković", "isAffiliatedTo", "FK_Metalac" ], [ "Dejan_Stamenković", "playsFor", "FK_Jagodina" ], [ "Dejan_Stamenković", "playsFor", "FK_Metalac" ], [ "Dejan_Đenić", "hasGender", "male" ], [ "Dejan_Đenić", "isAffiliatedTo", "FK_Bežanija" ], [ "Dejan_Đenić", "isAffiliatedTo", "FK_Jagodina" ], [ "Dejan_Đenić", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Dejan_Đenić", "playsFor", "FK_Bežanija" ], [ "Dejan_Đenić", "playsFor", "FK_Jagodina" ], [ "Dejan_Đenić", "playsFor", "FK_Novi_Pazar" ], [ "Dragiša_Žunić", "hasGender", "male" ], [ "Dragiša_Žunić", "isAffiliatedTo", "FK_Jagodina" ], [ "Dragiša_Žunić", "isAffiliatedTo", "FK_Metalac" ], [ "Dragiša_Žunić", "playsFor", "FK_Jagodina" ], [ "Dragiša_Žunić", "playsFor", "FK_Metalac" ], [ "Francis_Bossman", "hasGender", "male" ], [ "Francis_Bossman", "playsFor", "FK_Jagodina" ], [ "Igor_Pavlović", "hasGender", "male" ], [ "Igor_Pavlović", "isAffiliatedTo", "FK_Jagodina" ], [ "Igor_Pavlović", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Igor_Pavlović", "playsFor", "FK_Jagodina" ], [ "Igor_Pavlović", "playsFor", "FK_Novi_Pazar" ], [ "Irfan_Vušljanin", "hasGender", "male" ], [ "Irfan_Vušljanin", "isAffiliatedTo", "FK_Jagodina" ], [ "Irfan_Vušljanin", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Irfan_Vušljanin", "isAffiliatedTo", "FK_Sevojno" ], [ "Irfan_Vušljanin", "playsFor", "FK_Jagodina" ], [ "Irfan_Vušljanin", "playsFor", "FK_Novi_Pazar" ], [ "Irfan_Vušljanin", "playsFor", "FK_Sevojno" ], [ "Ivan_Cvetković", "hasGender", "male" ], [ "Ivan_Cvetković", "isAffiliatedTo", "FK_Jagodina" ], [ "Ivan_Cvetković", "playsFor", "FK_Jagodina" ], [ "Ivan_Dragičević", "hasGender", "male" ], [ "Ivan_Dragičević", "isAffiliatedTo", "FK_Jagodina" ], [ "Ivan_Dragičević", "isAffiliatedTo", "FK_Radnički_Niš" ], [ "Ivan_Dragičević", "playsFor", "FK_Jagodina" ], [ "Ivan_Dragičević", "playsFor", "FK_Radnički_Niš" ], [ "Ivan_Milenković", "hasGender", "male" ], [ "Ivan_Milenković", "isAffiliatedTo", "FK_Jagodina" ], [ "Ivan_Milenković", "isAffiliatedTo", "FK_Mladi_Radnik" ], [ "Ivan_Milenković", "isAffiliatedTo", "FK_Radnički_Niš" ], [ "Ivan_Milenković", "isAffiliatedTo", "FK_Sinđelić_Niš" ], [ "Ivan_Milenković", "playsFor", "FK_Jagodina" ], [ "Ivan_Milenković", "playsFor", "FK_Mladi_Radnik" ], [ "Ivan_Milenković", "playsFor", "FK_Radnički_Niš" ], [ "Ivan_Milenković", "playsFor", "FK_Sinđelić_Niš" ], [ "Ivan_Milenković", "wasBornIn", "Niš" ], [ "Ivan_Petrović", "hasGender", "male" ], [ "Ivan_Petrović", "isAffiliatedTo", "FK_Jagodina" ], [ "Ivan_Petrović", "playsFor", "FK_Jagodina" ], [ "Jovica_Nikolić", "hasGender", "male" ], [ "Jovica_Nikolić", "isAffiliatedTo", "FK_Jagodina" ], [ "Jovica_Nikolić", "playsFor", "FK_Jagodina" ], [ "Marcelo_Santiago", "hasGender", "male" ], [ "Marcelo_Santiago", "playsFor", "FK_Jagodina" ], [ "Marko_Mugoša", "hasGender", "male" ], [ "Marko_Mugoša", "isAffiliatedTo", "FK_Jagodina" ], [ "Marko_Mugoša", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Marko_Mugoša", "playsFor", "FK_Jagodina" ], [ "Marko_Mugoša", "playsFor", "FK_Novi_Pazar" ], [ "Marko_Simić", "hasGender", "male" ], [ "Marko_Simić", "isAffiliatedTo", "FK_Bežanija" ], [ "Marko_Simić", "isAffiliatedTo", "FK_Jagodina" ], [ "Marko_Simić", "playsFor", "FK_Bežanija" ], [ "Marko_Simić", "playsFor", "FK_Jagodina" ], [ "Milan_Bojović", "hasGender", "male" ], [ "Milan_Bojović", "isAffiliatedTo", "FK_Jagodina" ], [ "Milan_Bojović", "playsFor", "FK_Jagodina" ], [ "Milan_Perić", "hasGender", "male" ], [ "Milan_Perić", "isAffiliatedTo", "FK_Hajduk_Kula" ], [ "Milan_Perić", "isAffiliatedTo", "FK_Jagodina" ], [ "Milan_Perić", "isAffiliatedTo", "FK_Metalac" ], [ "Milan_Perić", "isAffiliatedTo", "FK_Mladi_Radnik" ], [ "Milan_Perić", "playsFor", "FK_Hajduk_Kula" ], [ "Milan_Perić", "playsFor", "FK_Jagodina" ], [ "Milan_Perić", "playsFor", "FK_Metalac" ], [ "Milan_Perić", "playsFor", "FK_Mladi_Radnik" ], [ "Miloš_Krstić", "hasGender", "male" ], [ "Miloš_Krstić", "isAffiliatedTo", "FK_Jagodina" ], [ "Miloš_Krstić", "isAffiliatedTo", "FK_Radnički_Niš" ], [ "Miloš_Krstić", "playsFor", "FK_Jagodina" ], [ "Miloš_Krstić", "playsFor", "FK_Radnički_Niš" ], [ "Miloš_Nikolić", "hasGender", "male" ], [ "Miloš_Nikolić", "isAffiliatedTo", "FK_Jagodina" ], [ "Miloš_Nikolić", "isAffiliatedTo", "FK_Metalac" ], [ "Miloš_Nikolić", "playsFor", "FK_Jagodina" ], [ "Miloš_Nikolić", "playsFor", "FK_Metalac" ], [ "Miloš_Ristanović", "isAffiliatedTo", "FK_Jagodina" ], [ "Miloš_Ristanović", "isAffiliatedTo", "FK_Metalac" ], [ "Miloš_Ristanović", "isAffiliatedTo", "FK_Sevojno" ], [ "Miloš_Ristanović", "playsFor", "FK_Jagodina" ], [ "Miloš_Ristanović", "playsFor", "FK_Metalac" ], [ "Miloš_Ristanović", "playsFor", "FK_Sevojno" ], [ "Miloš_Stojanović", "hasGender", "male" ], [ "Miloš_Stojanović", "playsFor", "FK_Jagodina" ], [ "Miloš_Stojanović", "playsFor", "FK_Novi_Pazar" ], [ "Miloš_Stojanović", "playsFor", "FK_Radnički_Niš" ], [ "Miloš_Živković_(footballer_born_1984_in_Niš)", "hasGender", "male" ], [ "Miloš_Živković_(footballer_born_1984_in_Niš)", "playsFor", "FK_Jagodina" ], [ "Miloš_Živković_(footballer_born_1984_in_Niš)", "playsFor", "FK_Metalac" ], [ "Miloš_Živković_(footballer_born_1984_in_Niš)", "playsFor", "FK_Novi_Pazar" ], [ "Miloš_Živković_(footballer_born_1984_in_Niš)", "playsFor", "FK_Radnički_Niš" ], [ "Miloš_Živković_(footballer_born_1984_in_Niš)", "playsFor", "FK_Sinđelić_Niš" ], [ "Miloš_Živković_(footballer_born_1985)", "hasGender", "male" ], [ "Miloš_Živković_(footballer_born_1985)", "isAffiliatedTo", "FK_Bežanija" ], [ "Miloš_Živković_(footballer_born_1985)", "isAffiliatedTo", "FK_Hajduk_Kula" ], [ "Miloš_Živković_(footballer_born_1985)", "isAffiliatedTo", "FK_Jagodina" ], [ "Miloš_Živković_(footballer_born_1985)", "playsFor", "FK_Hajduk_Kula" ], [ "Miloš_Živković_(footballer_born_1985)", "playsFor", "FK_Jagodina" ], [ "Miroslav_Savanović", "isAffiliatedTo", "FK_Jagodina" ], [ "Miroslav_Savanović", "isAffiliatedTo", "FK_Mladi_Radnik" ], [ "Miroslav_Savanović", "playsFor", "FK_Jagodina" ], [ "Miroslav_Savanović", "playsFor", "FK_Mladi_Radnik" ], [ "Márcio_Teruel", "hasGender", "male" ], [ "Márcio_Teruel", "playsFor", "FK_Jagodina" ], [ "Nenad_Nastić", "hasGender", "male" ], [ "Nenad_Nastić", "isAffiliatedTo", "FK_Jagodina" ], [ "Nenad_Nastić", "isAffiliatedTo", "FK_Leotar" ], [ "Nenad_Nastić", "playsFor", "FK_Jagodina" ], [ "Nenad_Nastić", "playsFor", "FK_Leotar" ], [ "Nenad_Vasić", "hasGender", "male" ], [ "Nenad_Vasić", "isAffiliatedTo", "FK_Jagodina" ], [ "Nenad_Vasić", "playsFor", "FK_Jagodina" ], [ "Nenad_Šljivić", "hasGender", "male" ], [ "Nenad_Šljivić", "isAffiliatedTo", "FK_Jagodina" ], [ "Nenad_Šljivić", "playsFor", "FK_Jagodina" ], [ "Nikola_Valentić", "hasGender", "male" ], [ "Nikola_Valentić", "isAffiliatedTo", "FK_Jagodina" ], [ "Nikola_Valentić", "playsFor", "FK_Jagodina" ], [ "Paul_McLaren", "hasGender", "male" ], [ "Perica_Ognjenović", "hasGender", "male" ], [ "Perica_Ognjenović", "isAffiliatedTo", "FK_Jagodina" ], [ "Perica_Ognjenović", "playsFor", "FK_Jagodina" ], [ "Predrag_Ranđelović_(born_1990)", "hasGender", "male" ], [ "Predrag_Ranđelović_(born_1990)", "playsFor", "FK_Jagodina" ], [ "Radoš_Protić", "isAffiliatedTo", "FK_Jagodina" ], [ "Radoš_Protić", "isAffiliatedTo", "FK_Leotar" ], [ "Radoš_Protić", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Radoš_Protić", "playsFor", "FK_Jagodina" ], [ "Radoš_Protić", "playsFor", "FK_Leotar" ], [ "Radoš_Protić", "playsFor", "FK_Novi_Pazar" ], [ "Sakya_Trizin", "hasGender", "male" ], [ "Sakya_Trizin", "playsFor", "FK_Hajduk_Kula" ], [ "Sakya_Trizin", "playsFor", "FK_Jagodina" ], [ "Saša_Cilinšek", "hasGender", "male" ], [ "Saša_Cilinšek", "isAffiliatedTo", "FK_Jagodina" ], [ "Saša_Cilinšek", "playsFor", "FK_Jagodina" ], [ "Sead_Hadžibulić", "hasGender", "male" ], [ "Sead_Hadžibulić", "isAffiliatedTo", "FK_Hajduk_Kula" ], [ "Sead_Hadžibulić", "isAffiliatedTo", "FK_Jagodina" ], [ "Sead_Hadžibulić", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Sead_Hadžibulić", "isAffiliatedTo", "FK_Radnički_Niš" ], [ "Sead_Hadžibulić", "playsFor", "FK_Hajduk_Kula" ], [ "Sead_Hadžibulić", "playsFor", "FK_Jagodina" ], [ "Sead_Hadžibulić", "playsFor", "FK_Novi_Pazar" ], [ "Sead_Hadžibulić", "playsFor", "FK_Radnički_Niš" ], [ "Srđan_Novković", "hasGender", "male" ], [ "Srđan_Novković", "isAffiliatedTo", "FK_Hajduk_Kula" ], [ "Srđan_Novković", "isAffiliatedTo", "FK_Jagodina" ], [ "Srđan_Novković", "playsFor", "FK_Hajduk_Kula" ], [ "Srđan_Novković", "playsFor", "FK_Jagodina" ], [ "Vasilije_Prodanović", "hasGender", "male" ], [ "Vasilije_Prodanović", "isAffiliatedTo", "FK_Bežanija" ], [ "Vasilije_Prodanović", "isAffiliatedTo", "FK_Jagodina" ], [ "Vasilije_Prodanović", "isAffiliatedTo", "FK_Novi_Pazar" ], [ "Vasilije_Prodanović", "playsFor", "FK_Bežanija" ], [ "Vasilije_Prodanović", "playsFor", "FK_Jagodina" ], [ "Vasilije_Prodanović", "playsFor", "FK_Novi_Pazar" ], [ "Vladimir_Milenković", "hasGender", "male" ], [ "Vladimir_Milenković", "playsFor", "FK_Jagodina" ], [ "Vladimir_Milenković", "playsFor", "FK_Radnički_Niš" ], [ "Vladimir_Đilas", "hasGender", "male" ], [ "Vladimir_Đilas", "isAffiliatedTo", "FK_Bežanija" ], [ "Vladimir_Đilas", "isAffiliatedTo", "FK_Jagodina" ], [ "Vladimir_Đilas", "isAffiliatedTo", "FK_Metalac" ], [ "Vladimir_Đilas", "playsFor", "FK_Bežanija" ], [ "Vladimir_Đilas", "playsFor", "FK_Jagodina" ], [ "Vladimir_Đilas", "playsFor", "FK_Metalac" ], [ "Zoran_Vasković", "hasGender", "male" ], [ "Zoran_Vasković", "isAffiliatedTo", "FK_Jagodina" ], [ "Zoran_Vasković", "isAffiliatedTo", "FK_Radnički_Niš" ], [ "Zoran_Vasković", "playsFor", "FK_Jagodina" ], [ "Zoran_Vasković", "playsFor", "FK_Radnički_Niš" ], [ "Zoran_Vasković", "wasBornIn", "Niš" ], [ "Zvonko_Milojević", "hasGender", "male" ], [ "Zvonko_Milojević", "isAffiliatedTo", "FK_Jagodina" ] ], "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 110310, 2waytraffic 92313, Anatoliy_Shepel 33945, Calhoun,_Georgia 84107, F.C._Dynamo_Kyiv 36384, George_Kistiakowsky 36429, Jacob_Marschak 28502, Kiev 86319, Ukraine 29157, United_States src, edge_attr, dst 110310, isLocatedIn, 28502 110310, isLocatedIn, 29157 92313, isAffiliatedTo, 84107 92313, wasBornIn, 28502 33945, isLocatedIn, 29157 84107, isLocatedIn, 28502 84107, isLocatedIn, 86319 36384, isCitizenOf, 29157 36384, wasBornIn, 28502 36429, isCitizenOf, 29157 36429, wasBornIn, 28502 28502, isLocatedIn, 86319 86319, hasCapital, 28502 Question: How are Anatoliy_Shepel and Calhoun,_Georgia related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Anatoliy_Shepel", "Calhoun,_Georgia" ], "valid_edges": [ [ "2waytraffic", "isLocatedIn", "Kiev" ], [ "2waytraffic", "isLocatedIn", "United_States" ], [ "Anatoliy_Shepel", "isAffiliatedTo", "F.C._Dynamo_Kyiv" ], [ "Anatoliy_Shepel", "wasBornIn", "Kiev" ], [ "Calhoun,_Georgia", "isLocatedIn", "United_States" ], [ "F.C._Dynamo_Kyiv", "isLocatedIn", "Kiev" ], [ "F.C._Dynamo_Kyiv", "isLocatedIn", "Ukraine" ], [ "George_Kistiakowsky", "isCitizenOf", "United_States" ], [ "George_Kistiakowsky", "wasBornIn", "Kiev" ], [ "Jacob_Marschak", "isCitizenOf", "United_States" ], [ "Jacob_Marschak", "wasBornIn", "Kiev" ], [ "Kiev", "isLocatedIn", "Ukraine" ], [ "Ukraine", "hasCapital", "Kiev" ] ], "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 5074, Algeria 108287, Decorah,_Iowa 9455, Insurgency_in_the_Maghreb_(2002–present) 107116, Ivory_Coast 1678, Mali 119603, Mauritania 102083, Mopti_Region 27329, Niger 29157, United_States 75056, War_on_Terror 55527, fr/Tijanisme src, edge_attr, dst 5074, dealsWith, 29157 5074, hasNeighbor, 1678 108287, isLocatedIn, 29157 9455, happenedIn, 1678 107116, dealsWith, 29157 107116, hasNeighbor, 1678 1678, hasNeighbor, 5074 1678, hasNeighbor, 107116 1678, hasNeighbor, 119603 1678, hasNeighbor, 27329 1678, participatedIn, 9455 1678, participatedIn, 75056 119603, dealsWith, 29157 119603, hasNeighbor, 1678 102083, isLocatedIn, 1678 27329, dealsWith, 29157 27329, hasNeighbor, 1678 29157, participatedIn, 9455 29157, participatedIn, 75056 55527, isLocatedIn, 1678 55527, isLocatedIn, 29157 Question: How are Decorah,_Iowa and Mopti_Region related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Decorah,_Iowa", "Mopti_Region" ], "valid_edges": [ [ "Algeria", "dealsWith", "United_States" ], [ "Algeria", "hasNeighbor", "Mali" ], [ "Decorah,_Iowa", "isLocatedIn", "United_States" ], [ "Insurgency_in_the_Maghreb_(2002–present)", "happenedIn", "Mali" ], [ "Ivory_Coast", "dealsWith", "United_States" ], [ "Ivory_Coast", "hasNeighbor", "Mali" ], [ "Mali", "hasNeighbor", "Algeria" ], [ "Mali", "hasNeighbor", "Ivory_Coast" ], [ "Mali", "hasNeighbor", "Mauritania" ], [ "Mali", "hasNeighbor", "Niger" ], [ "Mali", "participatedIn", "Insurgency_in_the_Maghreb_(2002–present)" ], [ "Mali", "participatedIn", "War_on_Terror" ], [ "Mauritania", "dealsWith", "United_States" ], [ "Mauritania", "hasNeighbor", "Mali" ], [ "Mopti_Region", "isLocatedIn", "Mali" ], [ "Niger", "dealsWith", "United_States" ], [ "Niger", "hasNeighbor", "Mali" ], [ "United_States", "participatedIn", "Insurgency_in_the_Maghreb_(2002–present)" ], [ "United_States", "participatedIn", "War_on_Terror" ], [ "fr/Tijanisme", "isLocatedIn", "Mali" ], [ "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 106984, Abdelkrim_Merry 81139, Albert_Baning 83075, Albert_Gemmrich 23506, André_Rey_(footballer) 71475, Anthony_Baffoe 85293, Bill_Tchato 44738, Bruno_Rodriguez 112895, Carlos_Bianchi 21424, Cyril_Chapuis 27336, Cédric_Kanté 107750, Danijel_Ljuboja 119406, David_Regis 118632, David_Ulm 55655, David_Zitelli 15338, Didier_Six 95035, Ernst_Stojaspal 106920, Erwin_Kremers 5401, F.C._Metz 59089, Franck_Dja_Djédjé 28768, François_Remetter 86528, Georg_Tripp 23159, Gernot_Rohr 24702, Gilbert_Gress 121578, Grégory_Paisley 121852, Gérald_Baticle 106329, Gérard_Hausser 106981, Henryk_Kasperczak 28766, Hervé_Tum 27703, Jean-François_Larios 101836, Jean-Noël_Huck 62529, Jean_Fernandez 94458, Jean_Snella 84227, Jeff_Strasser 42654, Joris_Delle 81915, Joseph-Désiré_Job 93547, Joseph_Ujlaki 1426, José_Cobos 67996, Jérémy_Pied 42113, Kickers_Offenbach 116272, Lionel_Letizi 95792, Mahamane_Traoré 106729, Mamadou_Bagayoko 19252, Mamadou_Niang 119292, Martin_Djetou 27720, Mohammed_Chaouch 26633, Nabatingue_Toko 82753, Nicolas_Fauvergue 15540, O.G.C._Nice 24769, Olivier_Echouafni 24679, Pape_Malick_Diop 37213, Pape_Thiaw 50817, Pascal_Johansen 77246, R.C._Strasbourg 101980, Robby_Langers 122261, Robert_Szczepaniak 99198, Régis_Dorn 61650, Serge_Dié 71420, Stéphane_Besle 46498, Stéphane_Noro 4038, Tony_Kurbos 58543, Yohan_Betsch 102131, Émile_Veinante src, edge_attr, dst 106984, isAffiliatedTo, 5401 106984, isAffiliatedTo, 77246 81139, isAffiliatedTo, 5401 81139, isAffiliatedTo, 77246 83075, isAffiliatedTo, 15540 83075, isAffiliatedTo, 77246 23506, isAffiliatedTo, 5401 23506, isAffiliatedTo, 15540 23506, isAffiliatedTo, 77246 71475, isAffiliatedTo, 5401 71475, isAffiliatedTo, 15540 85293, isAffiliatedTo, 15540 85293, isAffiliatedTo, 77246 44738, isAffiliatedTo, 5401 44738, isAffiliatedTo, 77246 112895, isAffiliatedTo, 15540 112895, isAffiliatedTo, 77246 21424, isAffiliatedTo, 5401 21424, isAffiliatedTo, 77246 27336, isAffiliatedTo, 15540 27336, isAffiliatedTo, 77246 107750, isAffiliatedTo, 15540 107750, isAffiliatedTo, 77246 119406, isAffiliatedTo, 5401 119406, isAffiliatedTo, 77246 118632, isAffiliatedTo, 42113 118632, isAffiliatedTo, 77246 118632, playsFor, 42113 55655, isAffiliatedTo, 5401 55655, isAffiliatedTo, 77246 15338, isAffiliatedTo, 5401 15338, isAffiliatedTo, 77246 95035, isAffiliatedTo, 5401 95035, isAffiliatedTo, 77246 106920, isAffiliatedTo, 42113 106920, playsFor, 42113 59089, isAffiliatedTo, 15540 59089, isAffiliatedTo, 77246 28768, isAffiliatedTo, 5401 28768, isAffiliatedTo, 77246 86528, isAffiliatedTo, 5401 86528, isAffiliatedTo, 42113 86528, playsFor, 42113 23159, isAffiliatedTo, 42113 23159, isAffiliatedTo, 15540 23159, playsFor, 42113 24702, isAffiliatedTo, 5401 24702, isAffiliatedTo, 77246 121578, isAffiliatedTo, 5401 121578, isAffiliatedTo, 15540 121578, isAffiliatedTo, 77246 121852, isAffiliatedTo, 5401 121852, isAffiliatedTo, 77246 106329, isAffiliatedTo, 5401 106329, isAffiliatedTo, 77246 106981, isAffiliatedTo, 5401 106981, isAffiliatedTo, 77246 28766, isAffiliatedTo, 5401 28766, isAffiliatedTo, 77246 27703, isAffiliatedTo, 15540 27703, isAffiliatedTo, 77246 101836, isAffiliatedTo, 15540 101836, isAffiliatedTo, 77246 62529, isAffiliatedTo, 5401 62529, isAffiliatedTo, 15540 94458, isAffiliatedTo, 5401 94458, isAffiliatedTo, 15540 84227, isAffiliatedTo, 5401 84227, isAffiliatedTo, 77246 42654, isAffiliatedTo, 5401 42654, isAffiliatedTo, 15540 81915, isAffiliatedTo, 5401 81915, isAffiliatedTo, 15540 93547, isAffiliatedTo, 5401 93547, isAffiliatedTo, 15540 1426, isAffiliatedTo, 15540 1426, isAffiliatedTo, 77246 67996, isAffiliatedTo, 5401 67996, isAffiliatedTo, 15540 116272, isAffiliatedTo, 5401 116272, isAffiliatedTo, 15540 95792, isAffiliatedTo, 5401 95792, isAffiliatedTo, 15540 106729, isAffiliatedTo, 15540 106729, isAffiliatedTo, 77246 19252, isAffiliatedTo, 5401 19252, isAffiliatedTo, 77246 119292, isAffiliatedTo, 15540 119292, isAffiliatedTo, 77246 27720, isAffiliatedTo, 5401 27720, isAffiliatedTo, 15540 26633, isAffiliatedTo, 15540 26633, isAffiliatedTo, 77246 82753, isAffiliatedTo, 5401 82753, isAffiliatedTo, 77246 24769, isAffiliatedTo, 15540 24769, isAffiliatedTo, 77246 24679, isAffiliatedTo, 5401 24679, isAffiliatedTo, 77246 37213, isAffiliatedTo, 5401 37213, isAffiliatedTo, 77246 50817, isAffiliatedTo, 5401 50817, isAffiliatedTo, 77246 101980, isAffiliatedTo, 5401 101980, isAffiliatedTo, 15540 122261, isAffiliatedTo, 5401 122261, isAffiliatedTo, 77246 99198, isAffiliatedTo, 42113 99198, isAffiliatedTo, 77246 99198, playsFor, 42113 61650, isAffiliatedTo, 5401 61650, isAffiliatedTo, 15540 71420, isAffiliatedTo, 5401 71420, isAffiliatedTo, 77246 46498, isAffiliatedTo, 5401 46498, isAffiliatedTo, 77246 4038, isAffiliatedTo, 5401 4038, isAffiliatedTo, 15540 58543, isAffiliatedTo, 5401 58543, isAffiliatedTo, 77246 102131, isAffiliatedTo, 5401 102131, isAffiliatedTo, 15540 102131, isAffiliatedTo, 77246 Question: For what reason are Erwin_Kremers and Grégory_Paisley associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Erwin_Kremers", "Grégory_Paisley" ], "valid_edges": [ [ "Abdelkrim_Merry", "isAffiliatedTo", "F.C._Metz" ], [ "Abdelkrim_Merry", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Albert_Baning", "isAffiliatedTo", "F.C._Metz" ], [ "Albert_Baning", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Albert_Gemmrich", "isAffiliatedTo", "O.G.C._Nice" ], [ "Albert_Gemmrich", "isAffiliatedTo", "R.C._Strasbourg" ], [ "André_Rey_(footballer)", "isAffiliatedTo", "F.C._Metz" ], [ "André_Rey_(footballer)", "isAffiliatedTo", "O.G.C._Nice" ], [ "André_Rey_(footballer)", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Anthony_Baffoe", "isAffiliatedTo", "F.C._Metz" ], [ "Anthony_Baffoe", "isAffiliatedTo", "O.G.C._Nice" ], [ "Bill_Tchato", "isAffiliatedTo", "O.G.C._Nice" ], [ "Bill_Tchato", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Bruno_Rodriguez", "isAffiliatedTo", "F.C._Metz" ], [ "Bruno_Rodriguez", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Carlos_Bianchi", "isAffiliatedTo", "O.G.C._Nice" ], [ "Carlos_Bianchi", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Cyril_Chapuis", "isAffiliatedTo", "F.C._Metz" ], [ "Cyril_Chapuis", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Cédric_Kanté", "isAffiliatedTo", "O.G.C._Nice" ], [ "Cédric_Kanté", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Danijel_Ljuboja", "isAffiliatedTo", "O.G.C._Nice" ], [ "Danijel_Ljuboja", "isAffiliatedTo", "R.C._Strasbourg" ], [ "David_Regis", "isAffiliatedTo", "F.C._Metz" ], [ "David_Regis", "isAffiliatedTo", "R.C._Strasbourg" ], [ "David_Ulm", "isAffiliatedTo", "Kickers_Offenbach" ], [ "David_Ulm", "isAffiliatedTo", "R.C._Strasbourg" ], [ "David_Ulm", "playsFor", "Kickers_Offenbach" ], [ "David_Zitelli", "isAffiliatedTo", "F.C._Metz" ], [ "David_Zitelli", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Didier_Six", "isAffiliatedTo", "F.C._Metz" ], [ "Didier_Six", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Ernst_Stojaspal", "isAffiliatedTo", "F.C._Metz" ], [ "Ernst_Stojaspal", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Erwin_Kremers", "isAffiliatedTo", "Kickers_Offenbach" ], [ "Erwin_Kremers", "playsFor", "Kickers_Offenbach" ], [ "Franck_Dja_Djédjé", "isAffiliatedTo", "O.G.C._Nice" ], [ "Franck_Dja_Djédjé", "isAffiliatedTo", "R.C._Strasbourg" ], [ "François_Remetter", "isAffiliatedTo", "F.C._Metz" ], [ "François_Remetter", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Georg_Tripp", "isAffiliatedTo", "F.C._Metz" ], [ "Georg_Tripp", "isAffiliatedTo", "Kickers_Offenbach" ], [ "Georg_Tripp", "playsFor", "Kickers_Offenbach" ], [ "Gernot_Rohr", "isAffiliatedTo", "Kickers_Offenbach" ], [ "Gernot_Rohr", "isAffiliatedTo", "O.G.C._Nice" ], [ "Gernot_Rohr", "playsFor", "Kickers_Offenbach" ], [ "Gilbert_Gress", "isAffiliatedTo", "F.C._Metz" ], [ "Gilbert_Gress", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Grégory_Paisley", "isAffiliatedTo", "F.C._Metz" ], [ "Grégory_Paisley", "isAffiliatedTo", "O.G.C._Nice" ], [ "Grégory_Paisley", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Gérald_Baticle", "isAffiliatedTo", "F.C._Metz" ], [ "Gérald_Baticle", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Gérard_Hausser", "isAffiliatedTo", "F.C._Metz" ], [ "Gérard_Hausser", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Henryk_Kasperczak", "isAffiliatedTo", "F.C._Metz" ], [ "Henryk_Kasperczak", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Hervé_Tum", "isAffiliatedTo", "F.C._Metz" ], [ "Hervé_Tum", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Jean-François_Larios", "isAffiliatedTo", "O.G.C._Nice" ], [ "Jean-François_Larios", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Jean-Noël_Huck", "isAffiliatedTo", "O.G.C._Nice" ], [ "Jean-Noël_Huck", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Jean_Fernandez", "isAffiliatedTo", "F.C._Metz" ], [ "Jean_Fernandez", "isAffiliatedTo", "O.G.C._Nice" ], [ "Jean_Snella", "isAffiliatedTo", "F.C._Metz" ], [ "Jean_Snella", "isAffiliatedTo", "O.G.C._Nice" ], [ "Jeff_Strasser", "isAffiliatedTo", "F.C._Metz" ], [ "Jeff_Strasser", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Joris_Delle", "isAffiliatedTo", "F.C._Metz" ], [ "Joris_Delle", "isAffiliatedTo", "O.G.C._Nice" ], [ "Joseph-Désiré_Job", "isAffiliatedTo", "F.C._Metz" ], [ "Joseph-Désiré_Job", "isAffiliatedTo", "O.G.C._Nice" ], [ "Joseph_Ujlaki", "isAffiliatedTo", "F.C._Metz" ], [ "Joseph_Ujlaki", "isAffiliatedTo", "O.G.C._Nice" ], [ "José_Cobos", "isAffiliatedTo", "O.G.C._Nice" ], [ "José_Cobos", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Jérémy_Pied", "isAffiliatedTo", "F.C._Metz" ], [ "Jérémy_Pied", "isAffiliatedTo", "O.G.C._Nice" ], [ "Lionel_Letizi", "isAffiliatedTo", "F.C._Metz" ], [ "Lionel_Letizi", "isAffiliatedTo", "O.G.C._Nice" ], [ "Mahamane_Traoré", "isAffiliatedTo", "F.C._Metz" ], [ "Mahamane_Traoré", "isAffiliatedTo", "O.G.C._Nice" ], [ "Mamadou_Bagayoko", "isAffiliatedTo", "O.G.C._Nice" ], [ "Mamadou_Bagayoko", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Mamadou_Niang", "isAffiliatedTo", "F.C._Metz" ], [ "Mamadou_Niang", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Martin_Djetou", "isAffiliatedTo", "O.G.C._Nice" ], [ "Martin_Djetou", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Mohammed_Chaouch", "isAffiliatedTo", "F.C._Metz" ], [ "Mohammed_Chaouch", "isAffiliatedTo", "O.G.C._Nice" ], [ "Nabatingue_Toko", "isAffiliatedTo", "O.G.C._Nice" ], [ "Nabatingue_Toko", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Nicolas_Fauvergue", "isAffiliatedTo", "F.C._Metz" ], [ "Nicolas_Fauvergue", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Olivier_Echouafni", "isAffiliatedTo", "O.G.C._Nice" ], [ "Olivier_Echouafni", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Pape_Malick_Diop", "isAffiliatedTo", "F.C._Metz" ], [ "Pape_Malick_Diop", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Pape_Thiaw", "isAffiliatedTo", "F.C._Metz" ], [ "Pape_Thiaw", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Pascal_Johansen", "isAffiliatedTo", "F.C._Metz" ], [ "Pascal_Johansen", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Robby_Langers", "isAffiliatedTo", "F.C._Metz" ], [ "Robby_Langers", "isAffiliatedTo", "O.G.C._Nice" ], [ "Robert_Szczepaniak", "isAffiliatedTo", "F.C._Metz" ], [ "Robert_Szczepaniak", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Régis_Dorn", "isAffiliatedTo", "Kickers_Offenbach" ], [ "Régis_Dorn", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Régis_Dorn", "playsFor", "Kickers_Offenbach" ], [ "Serge_Dié", "isAffiliatedTo", "F.C._Metz" ], [ "Serge_Dié", "isAffiliatedTo", "O.G.C._Nice" ], [ "Stéphane_Besle", "isAffiliatedTo", "F.C._Metz" ], [ "Stéphane_Besle", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Stéphane_Noro", "isAffiliatedTo", "F.C._Metz" ], [ "Stéphane_Noro", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Tony_Kurbos", "isAffiliatedTo", "F.C._Metz" ], [ "Tony_Kurbos", "isAffiliatedTo", "O.G.C._Nice" ], [ "Yohan_Betsch", "isAffiliatedTo", "F.C._Metz" ], [ "Yohan_Betsch", "isAffiliatedTo", "R.C._Strasbourg" ], [ "Émile_Veinante", "isAffiliatedTo", "F.C._Metz" ], [ "Émile_Veinante", "isAffiliatedTo", "O.G.C._Nice" ], [ "Émile_Veinante", "isAffiliatedTo", "R.C._Strasbourg" ] ], "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 101223, Astana 11779, Barys_Astana 38748, Honshu 118589, Kansai_region 5410, Katsuragi,_Wakayama 26352, Mie src, edge_attr, dst 101223, isLocatedIn, 9789 11779, isLocatedIn, 101223 118589, isLocatedIn, 9789 5410, isLocatedIn, 38748 5410, isLocatedIn, 118589 26352, isLocatedIn, 38748 26352, isLocatedIn, 118589 Question: In what context are Barys_Astana and Katsuragi,_Wakayama connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Barys_Astana", "Katsuragi,_Wakayama" ], "valid_edges": [ [ "Astana", "isLocatedIn", "Asia" ], [ "Barys_Astana", "isLocatedIn", "Astana" ], [ "Kansai_region", "isLocatedIn", "Asia" ], [ "Katsuragi,_Wakayama", "isLocatedIn", "Honshu" ], [ "Katsuragi,_Wakayama", "isLocatedIn", "Kansai_region" ], [ "Mie", "isLocatedIn", "Honshu" ], [ "Mie", "isLocatedIn", "Kansai_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 62081, James_Larkin 63757, Sergei_Serdyukov 77222, Socialist_Party_of_America 118104, male src, edge_attr, dst 62081, hasGender, 118104 62081, isAffiliatedTo, 77222 63757, hasGender, 118104 Question: How are Sergei_Serdyukov and Socialist_Party_of_America related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Sergei_Serdyukov", "Socialist_Party_of_America" ], "valid_edges": [ [ "James_Larkin", "hasGender", "male" ], [ "James_Larkin", "isAffiliatedTo", "Socialist_Party_of_America" ], [ "Sergei_Serdyukov", "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 118728, Danny_Shittu 51103, Doris_Angleton 76170, Egutu_Oliseh 54313, Lagos 34763, Nigeria 72369, Queens_Park_Rangers_F.C. 70259, Taye_Taiwo 68923, Two_Rode_Together 29157, United_States src, edge_attr, dst 118728, isAffiliatedTo, 72369 118728, playsFor, 72369 118728, wasBornIn, 54313 51103, isCitizenOf, 29157 51103, playsFor, 72369 76170, isAffiliatedTo, 72369 76170, playsFor, 72369 76170, wasBornIn, 54313 54313, isLocatedIn, 34763 34763, dealsWith, 29157 34763, hasCapital, 54313 70259, isAffiliatedTo, 72369 70259, playsFor, 72369 70259, wasBornIn, 54313 68923, isLocatedIn, 29157 Question: How are Egutu_Oliseh and Two_Rode_Together related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Egutu_Oliseh", "Two_Rode_Together" ], "valid_edges": [ [ "Danny_Shittu", "isAffiliatedTo", "Queens_Park_Rangers_F.C." ], [ "Danny_Shittu", "playsFor", "Queens_Park_Rangers_F.C." ], [ "Danny_Shittu", "wasBornIn", "Lagos" ], [ "Doris_Angleton", "isCitizenOf", "United_States" ], [ "Doris_Angleton", "playsFor", "Queens_Park_Rangers_F.C." ], [ "Egutu_Oliseh", "isAffiliatedTo", "Queens_Park_Rangers_F.C." ], [ "Egutu_Oliseh", "playsFor", "Queens_Park_Rangers_F.C." ], [ "Egutu_Oliseh", "wasBornIn", "Lagos" ], [ "Lagos", "isLocatedIn", "Nigeria" ], [ "Nigeria", "dealsWith", "United_States" ], [ "Nigeria", "hasCapital", "Lagos" ], [ "Taye_Taiwo", "isAffiliatedTo", "Queens_Park_Rangers_F.C." ], [ "Taye_Taiwo", "playsFor", "Queens_Park_Rangers_F.C." ], [ "Taye_Taiwo", "wasBornIn", "Lagos" ], [ "Two_Rode_Together", "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 29790, Abdou_Diouf 52821, Alan_García 103992, Alberto_Fujimori 90868, Alejandro_Toledo 37922, Arnaud_Montebourg 34613, Boutros_Boutros-Ghali 28718, Dawda_Jawara 50819, Dioncounda_Traoré 2419, Emmanuel_Todd 61836, Fernando_Belaúnde_Terry 64592, France 46559, Habib_Thiam 25070, Harlem_Désir 13359, Ibrahim_Boubacar_Keïta 108121, Israel_Finkelstein 15302, Javier_Pérez_de_Cuéllar 47644, Léopold_Sédar_Senghor 79498, Manuel_Valls 96236, Mário_Soares 46392, Ollanta_Humala 41424, Pantheon-Sorbonne_University 51323, Pavlo_Yakovenko 108025, Yōichi_Masuzoe 118104, male src, edge_attr, dst 29790, graduatedFrom, 41424 29790, hasChild, 46559 29790, hasGender, 118104 52821, graduatedFrom, 41424 52821, hasChild, 103992 52821, hasChild, 46392 52821, hasGender, 118104 103992, hasGender, 118104 90868, hasChild, 52821 90868, hasGender, 118104 37922, graduatedFrom, 41424 37922, hasGender, 118104 37922, isPoliticianOf, 64592 34613, graduatedFrom, 41424 34613, hasChild, 29790 34613, hasGender, 118104 28718, hasChild, 29790 28718, hasGender, 118104 50819, hasChild, 13359 50819, hasGender, 118104 2419, graduatedFrom, 41424 2419, hasGender, 118104 2419, isCitizenOf, 64592 61836, hasChild, 52821 61836, hasGender, 118104 46559, hasGender, 118104 25070, graduatedFrom, 41424 25070, hasGender, 118104 13359, graduatedFrom, 41424 13359, hasChild, 50819 13359, hasGender, 118104 108121, graduatedFrom, 41424 108121, hasGender, 118104 15302, hasChild, 34613 15302, hasGender, 118104 47644, hasChild, 29790 47644, hasGender, 118104 79498, graduatedFrom, 41424 79498, hasGender, 118104 79498, isLeaderOf, 64592 79498, isPoliticianOf, 64592 96236, graduatedFrom, 41424 96236, hasGender, 118104 46392, hasGender, 118104 51323, hasGender, 118104 108025, graduatedFrom, 41424 108025, hasGender, 118104 Question: In what context are Pantheon-Sorbonne_University and Pavlo_Yakovenko connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Pantheon-Sorbonne_University", "Pavlo_Yakovenko" ], "valid_edges": [ [ "Abdou_Diouf", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Abdou_Diouf", "hasChild", "Habib_Thiam" ], [ "Abdou_Diouf", "hasGender", "male" ], [ "Alan_García", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Alan_García", "hasChild", "Alberto_Fujimori" ], [ "Alan_García", "hasChild", "Ollanta_Humala" ], [ "Alan_García", "hasGender", "male" ], [ "Alberto_Fujimori", "hasGender", "male" ], [ "Alejandro_Toledo", "hasChild", "Alan_García" ], [ "Alejandro_Toledo", "hasGender", "male" ], [ "Arnaud_Montebourg", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Arnaud_Montebourg", "hasGender", "male" ], [ "Arnaud_Montebourg", "isPoliticianOf", "France" ], [ "Boutros_Boutros-Ghali", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Boutros_Boutros-Ghali", "hasChild", "Abdou_Diouf" ], [ "Boutros_Boutros-Ghali", "hasGender", "male" ], [ "Dawda_Jawara", "hasChild", "Abdou_Diouf" ], [ "Dawda_Jawara", "hasGender", "male" ], [ "Dioncounda_Traoré", "hasChild", "Ibrahim_Boubacar_Keïta" ], [ "Dioncounda_Traoré", "hasGender", "male" ], [ "Emmanuel_Todd", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Emmanuel_Todd", "hasGender", "male" ], [ "Emmanuel_Todd", "isCitizenOf", "France" ], [ "Fernando_Belaúnde_Terry", "hasChild", "Alan_García" ], [ "Fernando_Belaúnde_Terry", "hasGender", "male" ], [ "Habib_Thiam", "hasGender", "male" ], [ "Harlem_Désir", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Harlem_Désir", "hasGender", "male" ], [ "Ibrahim_Boubacar_Keïta", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Ibrahim_Boubacar_Keïta", "hasChild", "Dioncounda_Traoré" ], [ "Ibrahim_Boubacar_Keïta", "hasGender", "male" ], [ "Israel_Finkelstein", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Israel_Finkelstein", "hasGender", "male" ], [ "Javier_Pérez_de_Cuéllar", "hasChild", "Boutros_Boutros-Ghali" ], [ "Javier_Pérez_de_Cuéllar", "hasGender", "male" ], [ "Léopold_Sédar_Senghor", "hasChild", "Abdou_Diouf" ], [ "Léopold_Sédar_Senghor", "hasGender", "male" ], [ "Manuel_Valls", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Manuel_Valls", "hasGender", "male" ], [ "Manuel_Valls", "isLeaderOf", "France" ], [ "Manuel_Valls", "isPoliticianOf", "France" ], [ "Mário_Soares", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Mário_Soares", "hasGender", "male" ], [ "Ollanta_Humala", "hasGender", "male" ], [ "Pavlo_Yakovenko", "hasGender", "male" ], [ "Yōichi_Masuzoe", "graduatedFrom", "Pantheon-Sorbonne_University" ], [ "Yōichi_Masuzoe", "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 83256, Alec_Douglas-Home 40963, Alfred_Milner,_1st_Viscount_Milner 62651, Andrew_Fountaine 96389, Anthony_Eden 42787, Arthur_Balfour 13861, Arthur_Wellesley,_1st_Duke_of_Wellington 77303, Benjamin_Disraeli 88521, Cherie_Blair 49696, Christopher_A._Pissarides 71652, Clue_(film) 20415, Conservative_Party_(UK) 25391, Coventry 79655, David_Cameron 6468, Desmond_Swayne 20386, Dom_DeLuise 107785, Ed_Miliband 19925, Edmund_Leach 6265, Football_at_the_2012_Summer_Olympics 106118, Gene_Wilder 79682, Geoffrey_Howe 82622, Harold_Macmillan 105117, High_Anxiety 61424, Jack_Sangster 111432, John_Bean 59077, John_Major 6790, John_Morris_(composer) 90526, Johnny_Dangerously 110300, Kenneth_Mars 45345, London 74812, London_School_of_Economics 38047, Madeline_Kahn 112627, Margaret_Thatcher 62572, Margot_James 90272, Marty_Feldman 53470, Moshe_Sharett 17499, Neville_Chamberlain 25695, Peter_Boyle 90850, Ralf_Dahrendorf 98827, Robert_Gascoyne-Cecil,_3rd_Marquess_of_Salisbury 37243, Robert_Peel 44805, Ronald_Coase 16720, Roy_Kinnear 103313, Royal_College_of_Music 33751, Samantha_Cameron 114272, South_Kensington 57913, Spike_Milligan 86020, Stanley_Baldwin 106803, The_Adventure_of_Sherlock_Holmes'_Smarter_Brother 26932, The_Last_Remake_of_Beau_Geste 54137, The_Producers_(1968_film) 100654, United_Kingdom 64468, W._D._Hamilton 72362, Warwickshire 54458, West_Midlands_(county) 44744, William_Ewart_Gladstone 692, Winston_Churchill 80592, Yellowbeard 120018, Young_Frankenstein src, edge_attr, dst 83256, isAffiliatedTo, 20415 83256, isPoliticianOf, 100654 40963, isAffiliatedTo, 20415 40963, isCitizenOf, 100654 62651, isAffiliatedTo, 20415 62651, isCitizenOf, 100654 96389, isAffiliatedTo, 20415 96389, isPoliticianOf, 100654 42787, isAffiliatedTo, 20415 42787, isPoliticianOf, 100654 13861, isAffiliatedTo, 20415 13861, isPoliticianOf, 100654 77303, isAffiliatedTo, 20415 77303, isPoliticianOf, 100654 88521, graduatedFrom, 74812 88521, isPoliticianOf, 100654 49696, graduatedFrom, 74812 49696, isCitizenOf, 100654 20415, isLocatedIn, 45345 25391, isLocatedIn, 100654 25391, isLocatedIn, 72362 25391, isLocatedIn, 54458 79655, isAffiliatedTo, 20415 79655, isPoliticianOf, 100654 6468, isAffiliatedTo, 20415 6468, isCitizenOf, 100654 20386, actedIn, 90526 20386, actedIn, 106803 107785, graduatedFrom, 74812 107785, isPoliticianOf, 100654 19925, isCitizenOf, 100654 19925, worksAt, 74812 6265, isLocatedIn, 25391 6265, isLocatedIn, 100654 106118, actedIn, 54137 106118, actedIn, 120018 106118, created, 106803 106118, created, 120018 106118, directed, 106803 79682, isAffiliatedTo, 20415 79682, isPoliticianOf, 100654 82622, isAffiliatedTo, 20415 82622, isPoliticianOf, 100654 61424, created, 25391 61424, isCitizenOf, 100654 61424, livesIn, 100654 111432, isAffiliatedTo, 20415 111432, isCitizenOf, 100654 59077, isAffiliatedTo, 20415 59077, isPoliticianOf, 100654 6790, wroteMusicFor, 71652 6790, wroteMusicFor, 105117 6790, wroteMusicFor, 90526 6790, wroteMusicFor, 106803 6790, wroteMusicFor, 26932 6790, wroteMusicFor, 54137 6790, wroteMusicFor, 80592 6790, wroteMusicFor, 120018 110300, actedIn, 54137 110300, actedIn, 80592 110300, actedIn, 120018 45345, isLocatedIn, 100654 74812, isLocatedIn, 45345 74812, isLocatedIn, 100654 38047, actedIn, 71652 38047, actedIn, 105117 38047, actedIn, 106803 38047, actedIn, 80592 38047, actedIn, 120018 112627, isAffiliatedTo, 20415 112627, isPoliticianOf, 100654 62572, graduatedFrom, 74812 62572, isAffiliatedTo, 20415 62572, isCitizenOf, 100654 62572, livesIn, 114272 62572, wasBornIn, 25391 90272, actedIn, 106803 90272, actedIn, 26932 90272, actedIn, 80592 90272, actedIn, 120018 90272, directed, 26932 53470, graduatedFrom, 74812 53470, isCitizenOf, 100654 17499, isAffiliatedTo, 20415 17499, isPoliticianOf, 100654 25695, actedIn, 90526 25695, actedIn, 80592 25695, actedIn, 120018 90850, graduatedFrom, 74812 90850, isCitizenOf, 100654 98827, isAffiliatedTo, 20415 98827, isPoliticianOf, 100654 37243, isAffiliatedTo, 20415 37243, isPoliticianOf, 100654 44805, graduatedFrom, 74812 44805, isCitizenOf, 100654 16720, actedIn, 106803 16720, actedIn, 26932 103313, isLocatedIn, 114272 103313, isLocatedIn, 100654 33751, isAffiliatedTo, 20415 33751, isCitizenOf, 100654 33751, isPoliticianOf, 100654 57913, actedIn, 26932 57913, actedIn, 80592 86020, isAffiliatedTo, 20415 86020, isPoliticianOf, 100654 100654, hasCapital, 45345 64468, graduatedFrom, 74812 64468, isCitizenOf, 100654 72362, isLocatedIn, 100654 54458, isLocatedIn, 100654 44744, isAffiliatedTo, 20415 44744, isPoliticianOf, 100654 692, isAffiliatedTo, 20415 692, isPoliticianOf, 100654 80592, isLocatedIn, 100654 Question: How are John_Morris_(composer) and Margot_James related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "John_Morris_(composer)", "Margot_James" ], "valid_edges": [ [ "Alec_Douglas-Home", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Alec_Douglas-Home", "isPoliticianOf", "United_Kingdom" ], [ "Alfred_Milner,_1st_Viscount_Milner", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Alfred_Milner,_1st_Viscount_Milner", "isCitizenOf", "United_Kingdom" ], [ "Andrew_Fountaine", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Andrew_Fountaine", "isCitizenOf", "United_Kingdom" ], [ "Anthony_Eden", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Anthony_Eden", "isPoliticianOf", "United_Kingdom" ], [ "Arthur_Balfour", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Arthur_Balfour", "isPoliticianOf", "United_Kingdom" ], [ "Arthur_Wellesley,_1st_Duke_of_Wellington", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Arthur_Wellesley,_1st_Duke_of_Wellington", "isPoliticianOf", "United_Kingdom" ], [ "Benjamin_Disraeli", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Benjamin_Disraeli", "isPoliticianOf", "United_Kingdom" ], [ "Cherie_Blair", "graduatedFrom", "London_School_of_Economics" ], [ "Cherie_Blair", "isPoliticianOf", "United_Kingdom" ], [ "Christopher_A._Pissarides", "graduatedFrom", "London_School_of_Economics" ], [ "Christopher_A._Pissarides", "isCitizenOf", "United_Kingdom" ], [ "Conservative_Party_(UK)", "isLocatedIn", "London" ], [ "Coventry", "isLocatedIn", "United_Kingdom" ], [ "Coventry", "isLocatedIn", "Warwickshire" ], [ "Coventry", "isLocatedIn", "West_Midlands_(county)" ], [ "David_Cameron", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "David_Cameron", "isPoliticianOf", "United_Kingdom" ], [ "Desmond_Swayne", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Desmond_Swayne", "isCitizenOf", "United_Kingdom" ], [ "Dom_DeLuise", "actedIn", "Johnny_Dangerously" ], [ "Dom_DeLuise", "actedIn", "The_Adventure_of_Sherlock_Holmes'_Smarter_Brother" ], [ "Ed_Miliband", "graduatedFrom", "London_School_of_Economics" ], [ "Ed_Miliband", "isPoliticianOf", "United_Kingdom" ], [ "Edmund_Leach", "isCitizenOf", "United_Kingdom" ], [ "Edmund_Leach", "worksAt", "London_School_of_Economics" ], [ "Football_at_the_2012_Summer_Olympics", "isLocatedIn", "Coventry" ], [ "Football_at_the_2012_Summer_Olympics", "isLocatedIn", "United_Kingdom" ], [ "Gene_Wilder", "actedIn", "The_Producers_(1968_film)" ], [ "Gene_Wilder", "actedIn", "Young_Frankenstein" ], [ "Gene_Wilder", "created", "The_Adventure_of_Sherlock_Holmes'_Smarter_Brother" ], [ "Gene_Wilder", "created", "Young_Frankenstein" ], [ "Gene_Wilder", "directed", "The_Adventure_of_Sherlock_Holmes'_Smarter_Brother" ], [ "Geoffrey_Howe", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Geoffrey_Howe", "isPoliticianOf", "United_Kingdom" ], [ "Harold_Macmillan", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Harold_Macmillan", "isPoliticianOf", "United_Kingdom" ], [ "Jack_Sangster", "created", "Coventry" ], [ "Jack_Sangster", "isCitizenOf", "United_Kingdom" ], [ "Jack_Sangster", "livesIn", "United_Kingdom" ], [ "John_Bean", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "John_Bean", "isCitizenOf", "United_Kingdom" ], [ "John_Major", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "John_Major", "isPoliticianOf", "United_Kingdom" ], [ "John_Morris_(composer)", "wroteMusicFor", "Clue_(film)" ], [ "John_Morris_(composer)", "wroteMusicFor", "High_Anxiety" ], [ "John_Morris_(composer)", "wroteMusicFor", "Johnny_Dangerously" ], [ "John_Morris_(composer)", "wroteMusicFor", "The_Adventure_of_Sherlock_Holmes'_Smarter_Brother" ], [ "John_Morris_(composer)", "wroteMusicFor", "The_Last_Remake_of_Beau_Geste" ], [ "John_Morris_(composer)", "wroteMusicFor", "The_Producers_(1968_film)" ], [ "John_Morris_(composer)", "wroteMusicFor", "Yellowbeard" ], [ "John_Morris_(composer)", "wroteMusicFor", "Young_Frankenstein" ], [ "Kenneth_Mars", "actedIn", "The_Producers_(1968_film)" ], [ "Kenneth_Mars", "actedIn", "Yellowbeard" ], [ "Kenneth_Mars", "actedIn", "Young_Frankenstein" ], [ "London", "isLocatedIn", "United_Kingdom" ], [ "London_School_of_Economics", "isLocatedIn", "London" ], [ "London_School_of_Economics", "isLocatedIn", "United_Kingdom" ], [ "Madeline_Kahn", "actedIn", "Clue_(film)" ], [ "Madeline_Kahn", "actedIn", "High_Anxiety" ], [ "Madeline_Kahn", "actedIn", "The_Adventure_of_Sherlock_Holmes'_Smarter_Brother" ], [ "Madeline_Kahn", "actedIn", "Yellowbeard" ], [ "Madeline_Kahn", "actedIn", "Young_Frankenstein" ], [ "Margaret_Thatcher", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Margaret_Thatcher", "isPoliticianOf", "United_Kingdom" ], [ "Margot_James", "graduatedFrom", "London_School_of_Economics" ], [ "Margot_James", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Margot_James", "isCitizenOf", "United_Kingdom" ], [ "Margot_James", "livesIn", "South_Kensington" ], [ "Margot_James", "wasBornIn", "Coventry" ], [ "Marty_Feldman", "actedIn", "The_Adventure_of_Sherlock_Holmes'_Smarter_Brother" ], [ "Marty_Feldman", "actedIn", "The_Last_Remake_of_Beau_Geste" ], [ "Marty_Feldman", "actedIn", "Yellowbeard" ], [ "Marty_Feldman", "actedIn", "Young_Frankenstein" ], [ "Marty_Feldman", "directed", "The_Last_Remake_of_Beau_Geste" ], [ "Moshe_Sharett", "graduatedFrom", "London_School_of_Economics" ], [ "Moshe_Sharett", "isCitizenOf", "United_Kingdom" ], [ "Neville_Chamberlain", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Neville_Chamberlain", "isPoliticianOf", "United_Kingdom" ], [ "Peter_Boyle", "actedIn", "Johnny_Dangerously" ], [ "Peter_Boyle", "actedIn", "Yellowbeard" ], [ "Peter_Boyle", "actedIn", "Young_Frankenstein" ], [ "Ralf_Dahrendorf", "graduatedFrom", "London_School_of_Economics" ], [ "Ralf_Dahrendorf", "isCitizenOf", "United_Kingdom" ], [ "Robert_Gascoyne-Cecil,_3rd_Marquess_of_Salisbury", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Robert_Gascoyne-Cecil,_3rd_Marquess_of_Salisbury", "isPoliticianOf", "United_Kingdom" ], [ "Robert_Peel", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Robert_Peel", "isPoliticianOf", "United_Kingdom" ], [ "Ronald_Coase", "graduatedFrom", "London_School_of_Economics" ], [ "Ronald_Coase", "isCitizenOf", "United_Kingdom" ], [ "Roy_Kinnear", "actedIn", "The_Adventure_of_Sherlock_Holmes'_Smarter_Brother" ], [ "Roy_Kinnear", "actedIn", "The_Last_Remake_of_Beau_Geste" ], [ "Royal_College_of_Music", "isLocatedIn", "South_Kensington" ], [ "Royal_College_of_Music", "isLocatedIn", "United_Kingdom" ], [ "Samantha_Cameron", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Samantha_Cameron", "isCitizenOf", "United_Kingdom" ], [ "Samantha_Cameron", "isPoliticianOf", "United_Kingdom" ], [ "Spike_Milligan", "actedIn", "The_Last_Remake_of_Beau_Geste" ], [ "Spike_Milligan", "actedIn", "Yellowbeard" ], [ "Stanley_Baldwin", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Stanley_Baldwin", "isPoliticianOf", "United_Kingdom" ], [ "United_Kingdom", "hasCapital", "London" ], [ "W._D._Hamilton", "graduatedFrom", "London_School_of_Economics" ], [ "W._D._Hamilton", "isCitizenOf", "United_Kingdom" ], [ "Warwickshire", "isLocatedIn", "United_Kingdom" ], [ "West_Midlands_(county)", "isLocatedIn", "United_Kingdom" ], [ "William_Ewart_Gladstone", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "William_Ewart_Gladstone", "isPoliticianOf", "United_Kingdom" ], [ "Winston_Churchill", "isAffiliatedTo", "Conservative_Party_(UK)" ], [ "Winston_Churchill", "isPoliticianOf", "United_Kingdom" ], [ "Yellowbeard", "isLocatedIn", "United_Kingdom" ] ], "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 74898, Atlanta_Hawks 63116, Bakersfield,_California 32294, Brooklyn_Nets 78819, California 72648, Chris_Childs_(basketball) 49590, Chris_Jent 19077, Columbus_Horizon 73323, Connecticut_Pride 10314, Continental_Basketball_Association 112905, Gary_Plummer_(basketball) 3593, Golden_State_Warriors 71323, Kelvin_Upshaw 116694, La_Crosse_Bobcats 53529, Lega_Basket_Serie_A 64767, Liga_ACB 53008, Liga_Nacional_de_Básquet 76411, Los_Angeles_Lakers 80480, New_York_Knicks 41565, Orange_(California) 50472, Phoenix_Suns 12400, Quad_City_Thunder 16384, Rapid_City_Thrillers 88349, Rumeal_Robinson 92021, Sacramento_Kings 104972, Sedric_Toney 100517, United_States_Basketball_League 17142, Westwood,_Los_Angeles src, edge_attr, dst 63116, isLocatedIn, 78819 72648, isAffiliatedTo, 32294 72648, isAffiliatedTo, 19077 72648, isAffiliatedTo, 80480 72648, isAffiliatedTo, 12400 72648, isAffiliatedTo, 16384 72648, wasBornIn, 63116 49590, isAffiliatedTo, 19077 49590, isAffiliatedTo, 73323 49590, isAffiliatedTo, 10314 49590, isAffiliatedTo, 64767 49590, isAffiliatedTo, 80480 49590, isAffiliatedTo, 16384 49590, isAffiliatedTo, 92021 49590, isAffiliatedTo, 100517 49590, wasBornIn, 41565 112905, isAffiliatedTo, 19077 112905, isAffiliatedTo, 10314 112905, isAffiliatedTo, 3593 112905, isAffiliatedTo, 53529 112905, isAffiliatedTo, 64767 112905, isAffiliatedTo, 53008 112905, isAffiliatedTo, 16384 3593, isLocatedIn, 78819 71323, isAffiliatedTo, 19077 71323, isAffiliatedTo, 10314 71323, isAffiliatedTo, 3593 71323, isAffiliatedTo, 116694 71323, isAffiliatedTo, 53008 71323, isAffiliatedTo, 12400 71323, isAffiliatedTo, 16384 71323, isAffiliatedTo, 100517 76411, isLocatedIn, 78819 41565, isLocatedIn, 78819 88349, isAffiliatedTo, 74898 88349, isAffiliatedTo, 32294 88349, isAffiliatedTo, 19077 88349, isAffiliatedTo, 73323 88349, isAffiliatedTo, 10314 88349, isAffiliatedTo, 116694 88349, isAffiliatedTo, 53529 88349, isAffiliatedTo, 76411 88349, isAffiliatedTo, 50472 88349, isAffiliatedTo, 16384 92021, isLocatedIn, 78819 104972, isAffiliatedTo, 74898 104972, isAffiliatedTo, 19077 104972, isAffiliatedTo, 10314 104972, isAffiliatedTo, 80480 104972, isAffiliatedTo, 50472 104972, isAffiliatedTo, 92021 17142, isLocatedIn, 78819 Question: In what context are Columbus_Horizon and Westwood,_Los_Angeles connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Columbus_Horizon", "Westwood,_Los_Angeles" ], "valid_edges": [ [ "Bakersfield,_California", "isLocatedIn", "California" ], [ "Chris_Childs_(basketball)", "isAffiliatedTo", "Brooklyn_Nets" ], [ "Chris_Childs_(basketball)", "isAffiliatedTo", "Columbus_Horizon" ], [ "Chris_Childs_(basketball)", "isAffiliatedTo", "New_York_Knicks" ], [ "Chris_Childs_(basketball)", "isAffiliatedTo", "Quad_City_Thunder" ], [ "Chris_Childs_(basketball)", "isAffiliatedTo", "Rapid_City_Thrillers" ], [ "Chris_Childs_(basketball)", "wasBornIn", "Bakersfield,_California" ], [ "Chris_Jent", "isAffiliatedTo", "Columbus_Horizon" ], [ "Chris_Jent", "isAffiliatedTo", "Connecticut_Pride" ], [ "Chris_Jent", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Chris_Jent", "isAffiliatedTo", "Liga_ACB" ], [ "Chris_Jent", "isAffiliatedTo", "New_York_Knicks" ], [ "Chris_Jent", "isAffiliatedTo", "Rapid_City_Thrillers" ], [ "Chris_Jent", "isAffiliatedTo", "Sacramento_Kings" ], [ "Chris_Jent", "isAffiliatedTo", "United_States_Basketball_League" ], [ "Chris_Jent", "wasBornIn", "Orange_(California)" ], [ "Gary_Plummer_(basketball)", "isAffiliatedTo", "Columbus_Horizon" ], [ "Gary_Plummer_(basketball)", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Gary_Plummer_(basketball)", "isAffiliatedTo", "Golden_State_Warriors" ], [ "Gary_Plummer_(basketball)", "isAffiliatedTo", "Lega_Basket_Serie_A" ], [ "Gary_Plummer_(basketball)", "isAffiliatedTo", "Liga_ACB" ], [ "Gary_Plummer_(basketball)", "isAffiliatedTo", "Liga_Nacional_de_Básquet" ], [ "Gary_Plummer_(basketball)", "isAffiliatedTo", "Rapid_City_Thrillers" ], [ "Golden_State_Warriors", "isLocatedIn", "California" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "Columbus_Horizon" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "Golden_State_Warriors" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "La_Crosse_Bobcats" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "Liga_Nacional_de_Básquet" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "Quad_City_Thunder" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "Rapid_City_Thrillers" ], [ "Kelvin_Upshaw", "isAffiliatedTo", "United_States_Basketball_League" ], [ "Los_Angeles_Lakers", "isLocatedIn", "California" ], [ "Orange_(California)", "isLocatedIn", "California" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Atlanta_Hawks" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Brooklyn_Nets" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Columbus_Horizon" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Connecticut_Pride" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Rumeal_Robinson", "isAffiliatedTo", "La_Crosse_Bobcats" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Lega_Basket_Serie_A" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Los_Angeles_Lakers" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Phoenix_Suns" ], [ "Rumeal_Robinson", "isAffiliatedTo", "Rapid_City_Thrillers" ], [ "Sacramento_Kings", "isLocatedIn", "California" ], [ "Sedric_Toney", "isAffiliatedTo", "Atlanta_Hawks" ], [ "Sedric_Toney", "isAffiliatedTo", "Columbus_Horizon" ], [ "Sedric_Toney", "isAffiliatedTo", "Continental_Basketball_Association" ], [ "Sedric_Toney", "isAffiliatedTo", "New_York_Knicks" ], [ "Sedric_Toney", "isAffiliatedTo", "Phoenix_Suns" ], [ "Sedric_Toney", "isAffiliatedTo", "Sacramento_Kings" ], [ "Westwood,_Los_Angeles", "isLocatedIn", "California" ] ], "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 111132, A.S._Roma 55061, Helenio_Herrera 2463, Jonas_Ogandaga 29754, Raja_Casablanca 48866, Sebastiano_Nela src, edge_attr, dst 55061, isAffiliatedTo, 111132 55061, isAffiliatedTo, 29754 2463, isAffiliatedTo, 29754 2463, playsFor, 29754 48866, isAffiliatedTo, 111132 48866, playsFor, 111132 Question: In what context are Jonas_Ogandaga and Sebastiano_Nela connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Jonas_Ogandaga", "Sebastiano_Nela" ], "valid_edges": [ [ "Helenio_Herrera", "isAffiliatedTo", "A.S._Roma" ], [ "Helenio_Herrera", "isAffiliatedTo", "Raja_Casablanca" ], [ "Jonas_Ogandaga", "isAffiliatedTo", "Raja_Casablanca" ], [ "Jonas_Ogandaga", "playsFor", "Raja_Casablanca" ], [ "Sebastiano_Nela", "isAffiliatedTo", "A.S._Roma" ], [ "Sebastiano_Nela", "playsFor", "A.S._Roma" ] ], "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 50671, Chicago_Fire_Soccer_Club 114880, J._K._Rowling 38330, Janet_Napolitano 5306, Leslie_Osborne 41604, Nicoletta_Braschi 113074, Peter_Lowry 91842, Santa_Clara_University 80384, female src, edge_attr, dst 114880, hasGender, 80384 114880, playsFor, 50671 38330, graduatedFrom, 91842 38330, hasGender, 80384 5306, hasGender, 80384 5306, isAffiliatedTo, 91842 5306, playsFor, 91842 41604, hasGender, 80384 113074, isAffiliatedTo, 50671 113074, isAffiliatedTo, 91842 113074, playsFor, 50671 113074, playsFor, 91842 Question: For what reason are Nicoletta_Braschi and Peter_Lowry associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Nicoletta_Braschi", "Peter_Lowry" ], "valid_edges": [ [ "J._K._Rowling", "hasGender", "female" ], [ "J._K._Rowling", "playsFor", "Chicago_Fire_Soccer_Club" ], [ "Janet_Napolitano", "graduatedFrom", "Santa_Clara_University" ], [ "Janet_Napolitano", "hasGender", "female" ], [ "Leslie_Osborne", "hasGender", "female" ], [ "Leslie_Osborne", "isAffiliatedTo", "Santa_Clara_University" ], [ "Leslie_Osborne", "playsFor", "Santa_Clara_University" ], [ "Nicoletta_Braschi", "hasGender", "female" ], [ "Peter_Lowry", "isAffiliatedTo", "Chicago_Fire_Soccer_Club" ], [ "Peter_Lowry", "isAffiliatedTo", "Santa_Clara_University" ], [ "Peter_Lowry", "playsFor", "Chicago_Fire_Soccer_Club" ], [ "Peter_Lowry", "playsFor", "Santa_Clara_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 14984, Adolfo_Valencia 67035, Adrián_Ramos 110138, Agustín_Julio 113694, Aldo_Leão_Ramírez 100031, Andrés_González 101672, Andrés_Orozco 46606, Arnoldo_Iguarán 18010, Carlos_Arango 69571, Carlos_Navarro_Montoya 91619, Carlos_Valdés_(footballer) 112411, Colombia_national_football_team 96434, Cristian_Marrugo 31710, César_Valoyes 23885, David_Ferreira 116862, David_Montoya 43788, Edgar_Ramos_(footballer) 122224, Eduardo_Niño 97855, Elvis_González 10892, FK_Austria_Wien 3191, Faryd_Mondragón 100773, Ferras 25897, Francisco_Nájera 62130, Freddy_Rincón 106631, Gerardo_Bedoya 489, Héctor_Hurtado 67768, Independiente_Santa_Fe 8427, Jair_Benítez 9824, Jairo_Arias 82930, Jairo_Suárez 100355, Javier_Arizala 10272, Jhersson_Córdoba 60274, Jhon_Valencia 110931, Jhonnier_Gonzalez 14617, Johnnier_Montaño 53090, Jorge_Bermúdez 60499, José_Ricardo_Pérez 16468, José_de_la_Cuesta 21999, Juan_Toja 15654, Libis_Arenas 69020, Liliana_Lovell 49278, Luis_Fernando_Mosquera 29574, Luis_Yanes 591, Léider_Preciado 4685, Mauricio_Molina 69804, Milton_Rodríguez 31592, Mindy_Cohn 89289, Neco_Martínez 52592, Nilson_Cortes 33732, Néstor_Ortiz 98963, Pedro_Portocarrero 29251, Rubén_Darío_Hernández 34333, Róbinson_Zapata 36861, Sergio_Herrera 114001, Stalin_Motta 60913, Wilmer_Cabrera 111840, Wilson_Carpintero src, edge_attr, dst 14984, isAffiliatedTo, 112411 14984, isAffiliatedTo, 67768 14984, playsFor, 112411 14984, playsFor, 67768 67035, isAffiliatedTo, 112411 67035, isAffiliatedTo, 67768 67035, playsFor, 67768 110138, isAffiliatedTo, 112411 110138, isAffiliatedTo, 67768 110138, playsFor, 112411 110138, playsFor, 67768 113694, isAffiliatedTo, 112411 113694, isAffiliatedTo, 67768 113694, playsFor, 112411 113694, playsFor, 67768 100031, isAffiliatedTo, 112411 100031, isAffiliatedTo, 67768 100031, playsFor, 112411 100031, playsFor, 67768 101672, isAffiliatedTo, 112411 101672, isAffiliatedTo, 67768 101672, playsFor, 112411 101672, playsFor, 67768 46606, isAffiliatedTo, 112411 46606, isAffiliatedTo, 67768 46606, playsFor, 112411 46606, playsFor, 67768 18010, playsFor, 112411 18010, playsFor, 67768 69571, isAffiliatedTo, 112411 69571, isAffiliatedTo, 67768 69571, playsFor, 112411 69571, playsFor, 10892 69571, playsFor, 67768 91619, isAffiliatedTo, 112411 91619, isAffiliatedTo, 67768 91619, playsFor, 112411 91619, playsFor, 67768 96434, isAffiliatedTo, 112411 96434, isAffiliatedTo, 67768 96434, playsFor, 112411 96434, playsFor, 67768 31710, isAffiliatedTo, 112411 31710, isAffiliatedTo, 67768 31710, playsFor, 112411 31710, playsFor, 67768 23885, isAffiliatedTo, 112411 23885, isAffiliatedTo, 67768 23885, playsFor, 67768 116862, isAffiliatedTo, 112411 116862, isAffiliatedTo, 67768 116862, playsFor, 112411 116862, playsFor, 67768 43788, playsFor, 112411 43788, playsFor, 67768 122224, isAffiliatedTo, 112411 122224, isAffiliatedTo, 67768 122224, playsFor, 67768 97855, isAffiliatedTo, 112411 97855, isAffiliatedTo, 67768 97855, playsFor, 112411 97855, playsFor, 67768 3191, isAffiliatedTo, 112411 3191, isAffiliatedTo, 67768 3191, playsFor, 112411 3191, playsFor, 67768 100773, playsFor, 112411 100773, playsFor, 67768 25897, isAffiliatedTo, 112411 25897, isAffiliatedTo, 67768 25897, playsFor, 112411 25897, playsFor, 67768 62130, isAffiliatedTo, 112411 62130, isAffiliatedTo, 67768 62130, playsFor, 67768 106631, isAffiliatedTo, 112411 106631, isAffiliatedTo, 67768 106631, playsFor, 112411 106631, playsFor, 67768 489, isAffiliatedTo, 112411 489, isAffiliatedTo, 67768 489, playsFor, 67768 8427, isAffiliatedTo, 112411 8427, isAffiliatedTo, 67768 8427, playsFor, 67768 9824, isAffiliatedTo, 112411 9824, isAffiliatedTo, 67768 9824, playsFor, 112411 9824, playsFor, 67768 82930, isAffiliatedTo, 112411 82930, isAffiliatedTo, 67768 82930, playsFor, 112411 82930, playsFor, 67768 100355, isAffiliatedTo, 112411 100355, isAffiliatedTo, 67768 100355, playsFor, 67768 10272, isAffiliatedTo, 112411 10272, isAffiliatedTo, 67768 10272, playsFor, 112411 60274, isAffiliatedTo, 112411 60274, isAffiliatedTo, 67768 60274, playsFor, 112411 60274, playsFor, 67768 110931, playsFor, 112411 110931, playsFor, 67768 14617, isAffiliatedTo, 112411 14617, isAffiliatedTo, 67768 14617, playsFor, 67768 53090, isAffiliatedTo, 112411 53090, isAffiliatedTo, 67768 53090, playsFor, 67768 60499, isAffiliatedTo, 67768 60499, playsFor, 112411 60499, playsFor, 67768 16468, isAffiliatedTo, 112411 16468, isAffiliatedTo, 10892 16468, isAffiliatedTo, 67768 16468, playsFor, 112411 16468, playsFor, 10892 16468, playsFor, 67768 21999, isAffiliatedTo, 112411 21999, isAffiliatedTo, 67768 21999, playsFor, 112411 21999, playsFor, 67768 15654, isAffiliatedTo, 112411 15654, isAffiliatedTo, 67768 15654, playsFor, 112411 15654, playsFor, 67768 69020, playsFor, 112411 69020, playsFor, 67768 49278, isAffiliatedTo, 112411 49278, isAffiliatedTo, 67768 49278, playsFor, 112411 49278, playsFor, 67768 29574, isAffiliatedTo, 112411 29574, isAffiliatedTo, 67768 29574, playsFor, 112411 29574, playsFor, 67768 591, isAffiliatedTo, 112411 591, isAffiliatedTo, 67768 591, playsFor, 112411 591, playsFor, 67768 4685, isAffiliatedTo, 112411 4685, isAffiliatedTo, 67768 4685, playsFor, 112411 4685, playsFor, 67768 69804, isAffiliatedTo, 112411 69804, isAffiliatedTo, 67768 69804, playsFor, 112411 69804, playsFor, 67768 31592, playsFor, 10892 89289, isAffiliatedTo, 112411 89289, isAffiliatedTo, 67768 89289, playsFor, 112411 89289, playsFor, 67768 52592, isAffiliatedTo, 112411 52592, isAffiliatedTo, 67768 52592, playsFor, 112411 52592, playsFor, 67768 33732, isAffiliatedTo, 112411 33732, isAffiliatedTo, 67768 33732, playsFor, 67768 98963, isAffiliatedTo, 112411 98963, isAffiliatedTo, 67768 98963, playsFor, 112411 98963, playsFor, 67768 29251, isAffiliatedTo, 112411 29251, isAffiliatedTo, 67768 29251, playsFor, 67768 34333, isAffiliatedTo, 112411 34333, isAffiliatedTo, 67768 34333, playsFor, 112411 34333, playsFor, 67768 36861, isAffiliatedTo, 112411 36861, isAffiliatedTo, 67768 36861, playsFor, 112411 36861, playsFor, 67768 114001, isAffiliatedTo, 112411 114001, isAffiliatedTo, 67768 114001, playsFor, 112411 114001, playsFor, 67768 60913, isAffiliatedTo, 112411 60913, isAffiliatedTo, 67768 60913, playsFor, 112411 60913, playsFor, 67768 111840, isAffiliatedTo, 112411 111840, isAffiliatedTo, 67768 111840, playsFor, 112411 111840, playsFor, 67768 Question: In what context are Mindy_Cohn and Nilson_Cortes connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Mindy_Cohn", "Nilson_Cortes" ], "valid_edges": [ [ "Adolfo_Valencia", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Adolfo_Valencia", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Adolfo_Valencia", "playsFor", "Colombia_national_football_team" ], [ "Adolfo_Valencia", "playsFor", "Independiente_Santa_Fe" ], [ "Adrián_Ramos", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Adrián_Ramos", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Adrián_Ramos", "playsFor", "Independiente_Santa_Fe" ], [ "Agustín_Julio", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Agustín_Julio", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Agustín_Julio", "playsFor", "Colombia_national_football_team" ], [ "Agustín_Julio", "playsFor", "Independiente_Santa_Fe" ], [ "Aldo_Leão_Ramírez", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Aldo_Leão_Ramírez", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Aldo_Leão_Ramírez", "playsFor", "Colombia_national_football_team" ], [ "Aldo_Leão_Ramírez", "playsFor", "Independiente_Santa_Fe" ], [ "Andrés_González", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Andrés_González", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Andrés_González", "playsFor", "Colombia_national_football_team" ], [ "Andrés_González", "playsFor", "Independiente_Santa_Fe" ], [ "Andrés_Orozco", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Andrés_Orozco", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Andrés_Orozco", "playsFor", "Colombia_national_football_team" ], [ "Andrés_Orozco", "playsFor", "Independiente_Santa_Fe" ], [ "Arnoldo_Iguarán", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Arnoldo_Iguarán", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Arnoldo_Iguarán", "playsFor", "Colombia_national_football_team" ], [ "Arnoldo_Iguarán", "playsFor", "Independiente_Santa_Fe" ], [ "Carlos_Arango", "playsFor", "Colombia_national_football_team" ], [ "Carlos_Arango", "playsFor", "Independiente_Santa_Fe" ], [ "Carlos_Navarro_Montoya", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Carlos_Navarro_Montoya", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Carlos_Navarro_Montoya", "playsFor", "Colombia_national_football_team" ], [ "Carlos_Navarro_Montoya", "playsFor", "FK_Austria_Wien" ], [ "Carlos_Navarro_Montoya", "playsFor", "Independiente_Santa_Fe" ], [ "Carlos_Valdés_(footballer)", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Carlos_Valdés_(footballer)", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Carlos_Valdés_(footballer)", "playsFor", "Colombia_national_football_team" ], [ "Carlos_Valdés_(footballer)", "playsFor", "Independiente_Santa_Fe" ], [ "Cristian_Marrugo", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Cristian_Marrugo", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Cristian_Marrugo", "playsFor", "Colombia_national_football_team" ], [ "Cristian_Marrugo", "playsFor", "Independiente_Santa_Fe" ], [ "César_Valoyes", "isAffiliatedTo", "Colombia_national_football_team" ], [ "César_Valoyes", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "César_Valoyes", "playsFor", "Colombia_national_football_team" ], [ "César_Valoyes", "playsFor", "Independiente_Santa_Fe" ], [ "David_Ferreira", "isAffiliatedTo", "Colombia_national_football_team" ], [ "David_Ferreira", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "David_Ferreira", "playsFor", "Independiente_Santa_Fe" ], [ "David_Montoya", "isAffiliatedTo", "Colombia_national_football_team" ], [ "David_Montoya", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "David_Montoya", "playsFor", "Colombia_national_football_team" ], [ "David_Montoya", "playsFor", "Independiente_Santa_Fe" ], [ "Edgar_Ramos_(footballer)", "playsFor", "Colombia_national_football_team" ], [ "Edgar_Ramos_(footballer)", "playsFor", "Independiente_Santa_Fe" ], [ "Eduardo_Niño", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Eduardo_Niño", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Eduardo_Niño", "playsFor", "Independiente_Santa_Fe" ], [ "Elvis_González", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Elvis_González", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Elvis_González", "playsFor", "Colombia_national_football_team" ], [ "Elvis_González", "playsFor", "Independiente_Santa_Fe" ], [ "Faryd_Mondragón", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Faryd_Mondragón", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Faryd_Mondragón", "playsFor", "Colombia_national_football_team" ], [ "Faryd_Mondragón", "playsFor", "Independiente_Santa_Fe" ], [ "Ferras", "playsFor", "Colombia_national_football_team" ], [ "Ferras", "playsFor", "Independiente_Santa_Fe" ], [ "Francisco_Nájera", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Francisco_Nájera", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Francisco_Nájera", "playsFor", "Colombia_national_football_team" ], [ "Francisco_Nájera", "playsFor", "Independiente_Santa_Fe" ], [ "Freddy_Rincón", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Freddy_Rincón", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Freddy_Rincón", "playsFor", "Independiente_Santa_Fe" ], [ "Gerardo_Bedoya", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Gerardo_Bedoya", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Gerardo_Bedoya", "playsFor", "Colombia_national_football_team" ], [ "Gerardo_Bedoya", "playsFor", "Independiente_Santa_Fe" ], [ "Héctor_Hurtado", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Héctor_Hurtado", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Héctor_Hurtado", "playsFor", "Independiente_Santa_Fe" ], [ "Jair_Benítez", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Jair_Benítez", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Jair_Benítez", "playsFor", "Independiente_Santa_Fe" ], [ "Jairo_Arias", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Jairo_Arias", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Jairo_Arias", "playsFor", "Colombia_national_football_team" ], [ "Jairo_Arias", "playsFor", "Independiente_Santa_Fe" ], [ "Jairo_Suárez", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Jairo_Suárez", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Jairo_Suárez", "playsFor", "Colombia_national_football_team" ], [ "Jairo_Suárez", "playsFor", "Independiente_Santa_Fe" ], [ "Javier_Arizala", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Javier_Arizala", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Javier_Arizala", "playsFor", "Independiente_Santa_Fe" ], [ "Jhersson_Córdoba", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Jhersson_Córdoba", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Jhersson_Córdoba", "playsFor", "Colombia_national_football_team" ], [ "Jhon_Valencia", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Jhon_Valencia", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Jhon_Valencia", "playsFor", "Colombia_national_football_team" ], [ "Jhon_Valencia", "playsFor", "Independiente_Santa_Fe" ], [ "Jhonnier_Gonzalez", "playsFor", "Colombia_national_football_team" ], [ "Jhonnier_Gonzalez", "playsFor", "Independiente_Santa_Fe" ], [ "Johnnier_Montaño", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Johnnier_Montaño", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Johnnier_Montaño", "playsFor", "Independiente_Santa_Fe" ], [ "Jorge_Bermúdez", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Jorge_Bermúdez", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Jorge_Bermúdez", "playsFor", "Independiente_Santa_Fe" ], [ "José_Ricardo_Pérez", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "José_Ricardo_Pérez", "playsFor", "Colombia_national_football_team" ], [ "José_Ricardo_Pérez", "playsFor", "Independiente_Santa_Fe" ], [ "José_de_la_Cuesta", "isAffiliatedTo", "Colombia_national_football_team" ], [ "José_de_la_Cuesta", "isAffiliatedTo", "FK_Austria_Wien" ], [ "José_de_la_Cuesta", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "José_de_la_Cuesta", "playsFor", "Colombia_national_football_team" ], [ "José_de_la_Cuesta", "playsFor", "FK_Austria_Wien" ], [ "José_de_la_Cuesta", "playsFor", "Independiente_Santa_Fe" ], [ "Juan_Toja", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Juan_Toja", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Juan_Toja", "playsFor", "Colombia_national_football_team" ], [ "Juan_Toja", "playsFor", "Independiente_Santa_Fe" ], [ "Libis_Arenas", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Libis_Arenas", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Libis_Arenas", "playsFor", "Colombia_national_football_team" ], [ "Libis_Arenas", "playsFor", "Independiente_Santa_Fe" ], [ "Liliana_Lovell", "playsFor", "Colombia_national_football_team" ], [ "Liliana_Lovell", "playsFor", "Independiente_Santa_Fe" ], [ "Luis_Fernando_Mosquera", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Luis_Fernando_Mosquera", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Luis_Fernando_Mosquera", "playsFor", "Colombia_national_football_team" ], [ "Luis_Fernando_Mosquera", "playsFor", "Independiente_Santa_Fe" ], [ "Luis_Yanes", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Luis_Yanes", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Luis_Yanes", "playsFor", "Colombia_national_football_team" ], [ "Luis_Yanes", "playsFor", "Independiente_Santa_Fe" ], [ "Léider_Preciado", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Léider_Preciado", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Léider_Preciado", "playsFor", "Colombia_national_football_team" ], [ "Léider_Preciado", "playsFor", "Independiente_Santa_Fe" ], [ "Mauricio_Molina", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Mauricio_Molina", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Mauricio_Molina", "playsFor", "Colombia_national_football_team" ], [ "Mauricio_Molina", "playsFor", "Independiente_Santa_Fe" ], [ "Milton_Rodríguez", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Milton_Rodríguez", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Milton_Rodríguez", "playsFor", "Colombia_national_football_team" ], [ "Milton_Rodríguez", "playsFor", "Independiente_Santa_Fe" ], [ "Mindy_Cohn", "playsFor", "FK_Austria_Wien" ], [ "Neco_Martínez", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Neco_Martínez", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Neco_Martínez", "playsFor", "Colombia_national_football_team" ], [ "Neco_Martínez", "playsFor", "Independiente_Santa_Fe" ], [ "Nilson_Cortes", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Nilson_Cortes", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Nilson_Cortes", "playsFor", "Colombia_national_football_team" ], [ "Nilson_Cortes", "playsFor", "Independiente_Santa_Fe" ], [ "Néstor_Ortiz", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Néstor_Ortiz", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Néstor_Ortiz", "playsFor", "Independiente_Santa_Fe" ], [ "Pedro_Portocarrero", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Pedro_Portocarrero", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Pedro_Portocarrero", "playsFor", "Colombia_national_football_team" ], [ "Pedro_Portocarrero", "playsFor", "Independiente_Santa_Fe" ], [ "Rubén_Darío_Hernández", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Rubén_Darío_Hernández", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Rubén_Darío_Hernández", "playsFor", "Independiente_Santa_Fe" ], [ "Róbinson_Zapata", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Róbinson_Zapata", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Róbinson_Zapata", "playsFor", "Colombia_national_football_team" ], [ "Róbinson_Zapata", "playsFor", "Independiente_Santa_Fe" ], [ "Sergio_Herrera", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Sergio_Herrera", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Sergio_Herrera", "playsFor", "Colombia_national_football_team" ], [ "Sergio_Herrera", "playsFor", "Independiente_Santa_Fe" ], [ "Stalin_Motta", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Stalin_Motta", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Stalin_Motta", "playsFor", "Colombia_national_football_team" ], [ "Stalin_Motta", "playsFor", "Independiente_Santa_Fe" ], [ "Wilmer_Cabrera", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Wilmer_Cabrera", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Wilmer_Cabrera", "playsFor", "Colombia_national_football_team" ], [ "Wilmer_Cabrera", "playsFor", "Independiente_Santa_Fe" ], [ "Wilson_Carpintero", "isAffiliatedTo", "Colombia_national_football_team" ], [ "Wilson_Carpintero", "isAffiliatedTo", "Independiente_Santa_Fe" ], [ "Wilson_Carpintero", "playsFor", "Colombia_national_football_team" ], [ "Wilson_Carpintero", "playsFor", "Independiente_Santa_Fe" ] ], "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 11271, Alois_Schwartz 59637, Austria_national_football_team 7099, Aðalsteinn_Aðalsteinsson 68255, Baldur_Sigurðsson 87975, Bregenz 62865, Dario_Baldauf 62891, FC_Admira_Wacker_Mödling 3048, FC_Hard 15219, Hallgrímur_Jónasson 81905, Iceland_national_football_team 6694, Iceland_national_under-19_football_team 58137, Iceland_national_under-21_football_team 70302, Keflavík_Football_Club 104298, Keflavík_ÍF 21213, Knattspyrnufélag_Akureyrar 109566, Knattspyrnufélag_Reykjavíkur 102402, Kristján_Örn_Sigurðsson 39520, L.A.S.K._Linz 99421, LASK_Linz 84706, Markus_Weissenberger 118842, Michael_Langer 119188, Oliver_Schnellrieder 102995, Pálmi_Rafn_Pálmason 37526, Ray_Anthony_Jónsson 121244, SC_Austria_Lustenau 102217, SC_Rheindorf_Altach 115381, SV_Spittal 32458, Thomas_Beck_(footballer) 26933, Thomas_Weissenberger 95833, de/FC_Hard 118104, male 90959, Íþróttafélagið_Völsungur 11896, Þór_Akureyri src, edge_attr, dst 11271, hasGender, 118104 11271, isAffiliatedTo, 95833 7099, hasGender, 118104 7099, isAffiliatedTo, 81905 7099, playsFor, 81905 7099, playsFor, 58137 7099, playsFor, 90959 68255, hasGender, 118104 68255, isAffiliatedTo, 81905 68255, isAffiliatedTo, 6694 68255, isAffiliatedTo, 58137 68255, isAffiliatedTo, 70302 68255, isAffiliatedTo, 109566 68255, isAffiliatedTo, 90959 68255, playsFor, 81905 68255, playsFor, 6694 68255, playsFor, 58137 68255, playsFor, 70302 68255, playsFor, 109566 68255, playsFor, 90959 62865, hasGender, 118104 62865, isAffiliatedTo, 62891 62865, isAffiliatedTo, 3048 62865, isAffiliatedTo, 102217 62865, isAffiliatedTo, 95833 62865, playsFor, 62891 62865, playsFor, 3048 62865, playsFor, 102217 62865, wasBornIn, 87975 15219, hasGender, 118104 15219, isAffiliatedTo, 104298 15219, isAffiliatedTo, 90959 15219, isAffiliatedTo, 11896 15219, playsFor, 81905 15219, playsFor, 6694 15219, playsFor, 58137 15219, playsFor, 70302 15219, playsFor, 90959 15219, playsFor, 11896 102402, hasGender, 118104 102402, isAffiliatedTo, 81905 102402, isAffiliatedTo, 6694 102402, isAffiliatedTo, 21213 102402, isAffiliatedTo, 109566 102402, isAffiliatedTo, 90959 102402, isAffiliatedTo, 11896 102402, playsFor, 81905 102402, playsFor, 6694 102402, playsFor, 21213 102402, playsFor, 109566 102402, playsFor, 90959 102402, playsFor, 11896 84706, hasGender, 118104 84706, isAffiliatedTo, 59637 84706, isAffiliatedTo, 3048 84706, isAffiliatedTo, 39520 84706, isAffiliatedTo, 99421 84706, isAffiliatedTo, 115381 84706, isAffiliatedTo, 95833 84706, playsFor, 99421 84706, playsFor, 115381 118842, hasGender, 118104 118842, isAffiliatedTo, 3048 118842, isAffiliatedTo, 95833 118842, playsFor, 3048 118842, wasBornIn, 87975 119188, hasGender, 118104 119188, isAffiliatedTo, 3048 119188, isAffiliatedTo, 121244 119188, isAffiliatedTo, 102217 119188, isAffiliatedTo, 95833 119188, playsFor, 3048 119188, playsFor, 121244 119188, playsFor, 102217 102995, hasGender, 118104 102995, isAffiliatedTo, 81905 102995, isAffiliatedTo, 6694 102995, isAffiliatedTo, 58137 102995, isAffiliatedTo, 21213 102995, isAffiliatedTo, 90959 102995, playsFor, 81905 102995, playsFor, 6694 102995, playsFor, 58137 102995, playsFor, 21213 102995, playsFor, 90959 37526, hasGender, 118104 37526, isAffiliatedTo, 58137 37526, isAffiliatedTo, 104298 37526, isAffiliatedTo, 90959 37526, playsFor, 58137 37526, playsFor, 70302 37526, playsFor, 90959 32458, hasGender, 118104 32458, isAffiliatedTo, 3048 32458, isAffiliatedTo, 95833 32458, playsFor, 3048 26933, hasGender, 118104 26933, isAffiliatedTo, 59637 26933, isAffiliatedTo, 62891 26933, isAffiliatedTo, 3048 26933, isAffiliatedTo, 39520 26933, isAffiliatedTo, 99421 26933, isAffiliatedTo, 121244 26933, isAffiliatedTo, 115381 26933, isAffiliatedTo, 95833 26933, playsFor, 62891 26933, playsFor, 3048 26933, playsFor, 99421 26933, playsFor, 121244 26933, playsFor, 115381 Question: For what reason are de/FC_Hard and Íþróttafélagið_Völsungur associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "de/FC_Hard", "Íþróttafélagið_Völsungur" ], "valid_edges": [ [ "Alois_Schwartz", "hasGender", "male" ], [ "Alois_Schwartz", "isAffiliatedTo", "de/FC_Hard" ], [ "Aðalsteinn_Aðalsteinsson", "hasGender", "male" ], [ "Aðalsteinn_Aðalsteinsson", "isAffiliatedTo", "Iceland_national_football_team" ], [ "Aðalsteinn_Aðalsteinsson", "playsFor", "Iceland_national_football_team" ], [ "Aðalsteinn_Aðalsteinsson", "playsFor", "Iceland_national_under-21_football_team" ], [ "Aðalsteinn_Aðalsteinsson", "playsFor", "Íþróttafélagið_Völsungur" ], [ "Baldur_Sigurðsson", "hasGender", "male" ], [ "Baldur_Sigurðsson", "isAffiliatedTo", "Iceland_national_football_team" ], [ "Baldur_Sigurðsson", "isAffiliatedTo", "Iceland_national_under-19_football_team" ], [ "Baldur_Sigurðsson", "isAffiliatedTo", "Iceland_national_under-21_football_team" ], [ "Baldur_Sigurðsson", "isAffiliatedTo", "Keflavík_Football_Club" ], [ "Baldur_Sigurðsson", "isAffiliatedTo", "Knattspyrnufélag_Reykjavíkur" ], [ "Baldur_Sigurðsson", "isAffiliatedTo", "Íþróttafélagið_Völsungur" ], [ "Baldur_Sigurðsson", "playsFor", "Iceland_national_football_team" ], [ "Baldur_Sigurðsson", "playsFor", "Iceland_national_under-19_football_team" ], [ "Baldur_Sigurðsson", "playsFor", "Iceland_national_under-21_football_team" ], [ "Baldur_Sigurðsson", "playsFor", "Keflavík_Football_Club" ], [ "Baldur_Sigurðsson", "playsFor", "Knattspyrnufélag_Reykjavíkur" ], [ "Baldur_Sigurðsson", "playsFor", "Íþróttafélagið_Völsungur" ], [ "Dario_Baldauf", "hasGender", "male" ], [ "Dario_Baldauf", "isAffiliatedTo", "FC_Admira_Wacker_Mödling" ], [ "Dario_Baldauf", "isAffiliatedTo", "FC_Hard" ], [ "Dario_Baldauf", "isAffiliatedTo", "SC_Rheindorf_Altach" ], [ "Dario_Baldauf", "isAffiliatedTo", "de/FC_Hard" ], [ "Dario_Baldauf", "playsFor", "FC_Admira_Wacker_Mödling" ], [ "Dario_Baldauf", "playsFor", "FC_Hard" ], [ "Dario_Baldauf", "playsFor", "SC_Rheindorf_Altach" ], [ "Dario_Baldauf", "wasBornIn", "Bregenz" ], [ "Hallgrímur_Jónasson", "hasGender", "male" ], [ "Hallgrímur_Jónasson", "isAffiliatedTo", "Keflavík_ÍF" ], [ "Hallgrímur_Jónasson", "isAffiliatedTo", "Íþróttafélagið_Völsungur" ], [ "Hallgrímur_Jónasson", "isAffiliatedTo", "Þór_Akureyri" ], [ "Hallgrímur_Jónasson", "playsFor", "Iceland_national_football_team" ], [ "Hallgrímur_Jónasson", "playsFor", "Iceland_national_under-19_football_team" ], [ "Hallgrímur_Jónasson", "playsFor", "Iceland_national_under-21_football_team" ], [ "Hallgrímur_Jónasson", "playsFor", "Keflavík_Football_Club" ], [ "Hallgrímur_Jónasson", "playsFor", "Íþróttafélagið_Völsungur" ], [ "Hallgrímur_Jónasson", "playsFor", "Þór_Akureyri" ], [ "Kristján_Örn_Sigurðsson", "hasGender", "male" ], [ "Kristján_Örn_Sigurðsson", "isAffiliatedTo", "Iceland_national_football_team" ], [ "Kristján_Örn_Sigurðsson", "isAffiliatedTo", "Iceland_national_under-19_football_team" ], [ "Kristján_Örn_Sigurðsson", "isAffiliatedTo", "Knattspyrnufélag_Akureyrar" ], [ "Kristján_Örn_Sigurðsson", "isAffiliatedTo", "Knattspyrnufélag_Reykjavíkur" ], [ "Kristján_Örn_Sigurðsson", "isAffiliatedTo", "Íþróttafélagið_Völsungur" ], [ "Kristján_Örn_Sigurðsson", "isAffiliatedTo", "Þór_Akureyri" ], [ "Kristján_Örn_Sigurðsson", "playsFor", "Iceland_national_football_team" ], [ "Kristján_Örn_Sigurðsson", "playsFor", "Iceland_national_under-19_football_team" ], [ "Kristján_Örn_Sigurðsson", "playsFor", "Knattspyrnufélag_Akureyrar" ], [ "Kristján_Örn_Sigurðsson", "playsFor", "Knattspyrnufélag_Reykjavíkur" ], [ "Kristján_Örn_Sigurðsson", "playsFor", "Íþróttafélagið_Völsungur" ], [ "Kristján_Örn_Sigurðsson", "playsFor", "Þór_Akureyri" ], [ "Markus_Weissenberger", "hasGender", "male" ], [ "Markus_Weissenberger", "isAffiliatedTo", "Austria_national_football_team" ], [ "Markus_Weissenberger", "isAffiliatedTo", "FC_Hard" ], [ "Markus_Weissenberger", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Markus_Weissenberger", "isAffiliatedTo", "LASK_Linz" ], [ "Markus_Weissenberger", "isAffiliatedTo", "SV_Spittal" ], [ "Markus_Weissenberger", "isAffiliatedTo", "de/FC_Hard" ], [ "Markus_Weissenberger", "playsFor", "LASK_Linz" ], [ "Markus_Weissenberger", "playsFor", "SV_Spittal" ], [ "Michael_Langer", "hasGender", "male" ], [ "Michael_Langer", "isAffiliatedTo", "FC_Hard" ], [ "Michael_Langer", "isAffiliatedTo", "de/FC_Hard" ], [ "Michael_Langer", "playsFor", "FC_Hard" ], [ "Michael_Langer", "wasBornIn", "Bregenz" ], [ "Oliver_Schnellrieder", "hasGender", "male" ], [ "Oliver_Schnellrieder", "isAffiliatedTo", "FC_Hard" ], [ "Oliver_Schnellrieder", "isAffiliatedTo", "SC_Austria_Lustenau" ], [ "Oliver_Schnellrieder", "isAffiliatedTo", "SC_Rheindorf_Altach" ], [ "Oliver_Schnellrieder", "isAffiliatedTo", "de/FC_Hard" ], [ "Oliver_Schnellrieder", "playsFor", "FC_Hard" ], [ "Oliver_Schnellrieder", "playsFor", "SC_Austria_Lustenau" ], [ "Oliver_Schnellrieder", "playsFor", "SC_Rheindorf_Altach" ], [ "Pálmi_Rafn_Pálmason", "hasGender", "male" ], [ "Pálmi_Rafn_Pálmason", "isAffiliatedTo", "Iceland_national_football_team" ], [ "Pálmi_Rafn_Pálmason", "isAffiliatedTo", "Iceland_national_under-19_football_team" ], [ "Pálmi_Rafn_Pálmason", "isAffiliatedTo", "Iceland_national_under-21_football_team" ], [ "Pálmi_Rafn_Pálmason", "isAffiliatedTo", "Knattspyrnufélag_Akureyrar" ], [ "Pálmi_Rafn_Pálmason", "isAffiliatedTo", "Íþróttafélagið_Völsungur" ], [ "Pálmi_Rafn_Pálmason", "playsFor", "Iceland_national_football_team" ], [ "Pálmi_Rafn_Pálmason", "playsFor", "Iceland_national_under-19_football_team" ], [ "Pálmi_Rafn_Pálmason", "playsFor", "Iceland_national_under-21_football_team" ], [ "Pálmi_Rafn_Pálmason", "playsFor", "Knattspyrnufélag_Akureyrar" ], [ "Pálmi_Rafn_Pálmason", "playsFor", "Íþróttafélagið_Völsungur" ], [ "Ray_Anthony_Jónsson", "hasGender", "male" ], [ "Ray_Anthony_Jónsson", "isAffiliatedTo", "Iceland_national_under-21_football_team" ], [ "Ray_Anthony_Jónsson", "isAffiliatedTo", "Keflavík_ÍF" ], [ "Ray_Anthony_Jónsson", "isAffiliatedTo", "Íþróttafélagið_Völsungur" ], [ "Ray_Anthony_Jónsson", "playsFor", "Iceland_national_under-21_football_team" ], [ "Ray_Anthony_Jónsson", "playsFor", "Keflavík_Football_Club" ], [ "Ray_Anthony_Jónsson", "playsFor", "Íþróttafélagið_Völsungur" ], [ "Thomas_Beck_(footballer)", "hasGender", "male" ], [ "Thomas_Beck_(footballer)", "isAffiliatedTo", "FC_Hard" ], [ "Thomas_Beck_(footballer)", "isAffiliatedTo", "de/FC_Hard" ], [ "Thomas_Beck_(footballer)", "playsFor", "FC_Hard" ], [ "Thomas_Weissenberger", "hasGender", "male" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "Austria_national_football_team" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "FC_Admira_Wacker_Mödling" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "FC_Hard" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "L.A.S.K._Linz" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "LASK_Linz" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "SC_Austria_Lustenau" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "SV_Spittal" ], [ "Thomas_Weissenberger", "isAffiliatedTo", "de/FC_Hard" ], [ "Thomas_Weissenberger", "playsFor", "FC_Admira_Wacker_Mödling" ], [ "Thomas_Weissenberger", "playsFor", "FC_Hard" ], [ "Thomas_Weissenberger", "playsFor", "LASK_Linz" ], [ "Thomas_Weissenberger", "playsFor", "SC_Austria_Lustenau" ], [ "Thomas_Weissenberger", "playsFor", "SV_Spittal" ] ], "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 113471, Into_the_West_(film) 43923, Ivor_Novello_Awards 16467, Patrick_Doyle 97636, Peter_Boyle_(film_editor) 106380, Thom_Yorke src, edge_attr, dst 16467, hasWonPrize, 43923 16467, wroteMusicFor, 113471 97636, edited, 113471 106380, hasWonPrize, 43923 Question: How are Peter_Boyle_(film_editor) and Thom_Yorke related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Peter_Boyle_(film_editor)", "Thom_Yorke" ], "valid_edges": [ [ "Patrick_Doyle", "hasWonPrize", "Ivor_Novello_Awards" ], [ "Patrick_Doyle", "wroteMusicFor", "Into_the_West_(film)" ], [ "Peter_Boyle_(film_editor)", "edited", "Into_the_West_(film)" ], [ "Thom_Yorke", "hasWonPrize", "Ivor_Novello_Awards" ] ], "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 118964, Aidan_Collins 54171, Alejandro_Naif 3605, Allan_Lalín 71101, C.D._Luis_Ángel_Firpo 60370, C.D._Marathón 60361, C.D._Motagua 116239, C.D._Suchitepéquez 18452, C.D._Victoria 107979, Carim_Adippe 84980, Carlos_Discua 62357, Carlos_Oliva 48197, Christian_Samir_Martínez 117057, David_Sierra_(footballer) 30797, Diego_Vásquez 76727, Diktmar_Hernández 32667, Edmilson_da_Silva_Melo 116362, Eduardo_Bennett 44275, Edwin_Yobani_Avila 31541, Enrique_Reneau 102733, Eugenio_Dolmo_Flores 84026, Fabio_Ulloa 103220, Francisco_Antonio_Pavón 70491, Franklin_Vinosis_Webster 69402, Ghislaine_Dommanget 121172, Honduras_national_under-20_football_team 78858, Honduras_national_under-23_football_team 54738, Héctor_Flores 112194, Jaime_Rosales 102160, Javier_Omar_Martínez 57073, Joaquín_Enrique_Valerio 40487, Johnny_Ávila 93201, José_Anthony_Torres 43424, José_Carlos_Rivera 112658, José_Luis_Grant 57294, José_Luis_Pineda 12485, Juan_Manuel_Cárcamo 52722, Juan_Pablo_Montes 66823, Juan_Raudales 112706, Julio_César_Suazo 36068, Júnior_Izaguirre 82478, Júnior_Morales 29118, Kevin_Hernández 89161, Luis_Alfredo_Ramírez 83689, Luis_Oseguera 84150, Mario_Arnaldo_Gómez 76080, Mario_César_Rodríguez 112406, Marvin_Chávez 79247, Mauricio_Copete 37178, Mauricio_Weber 37085, Maynor_Figueroa 63229, Miguel_Castillo 27003, Mitchel_Brown 121797, Ninrrol_Medina 77161, Orlin_Vallecillo 47914, Percival_Piggott 103065, Platense_F.C. 48846, Reynaldo_Pineda 16146, Richard_Pérez 62829, Rigoberto_Padilla 84698, Rubén_Antonio_Rivera 118188, Saúl_Martínez 46145, Víctor_Mena 13353, Walter_Martínez_(footballer) 92228, Wilmer_Crisanto 15542, Wilson_Palacios 41808, Yermy_Hernández 118104, male src, edge_attr, dst 118964, hasGender, 118104 54171, hasGender, 118104 54171, isAffiliatedTo, 60370 54171, isAffiliatedTo, 18452 54171, playsFor, 60370 54171, playsFor, 18452 3605, hasGender, 118104 3605, isAffiliatedTo, 18452 3605, playsFor, 18452 107979, hasGender, 118104 107979, isAffiliatedTo, 18452 107979, playsFor, 18452 84980, hasGender, 118104 84980, isAffiliatedTo, 60361 84980, isAffiliatedTo, 18452 84980, playsFor, 60361 84980, playsFor, 18452 62357, hasGender, 118104 62357, isAffiliatedTo, 60370 62357, isAffiliatedTo, 60361 62357, isAffiliatedTo, 18452 62357, isAffiliatedTo, 103065 62357, playsFor, 60370 62357, playsFor, 60361 62357, playsFor, 18452 62357, playsFor, 103065 48197, hasGender, 118104 48197, isAffiliatedTo, 60361 48197, isAffiliatedTo, 18452 48197, isAffiliatedTo, 121172 48197, playsFor, 60361 48197, playsFor, 121172 117057, hasGender, 118104 117057, playsFor, 18452 30797, hasGender, 118104 30797, isAffiliatedTo, 60370 30797, isAffiliatedTo, 60361 30797, isAffiliatedTo, 18452 30797, playsFor, 60370 30797, playsFor, 60361 30797, playsFor, 18452 76727, isAffiliatedTo, 60370 76727, isAffiliatedTo, 60361 76727, isAffiliatedTo, 18452 76727, playsFor, 60370 76727, playsFor, 60361 76727, playsFor, 18452 32667, hasGender, 118104 32667, isAffiliatedTo, 60370 32667, isAffiliatedTo, 18452 32667, playsFor, 60370 32667, playsFor, 18452 116362, hasGender, 118104 116362, isAffiliatedTo, 18452 116362, playsFor, 18452 44275, hasGender, 118104 44275, isAffiliatedTo, 60370 44275, isAffiliatedTo, 18452 44275, isAffiliatedTo, 103065 44275, playsFor, 60370 44275, playsFor, 18452 44275, playsFor, 103065 31541, hasGender, 118104 31541, playsFor, 71101 31541, playsFor, 60370 31541, playsFor, 18452 102733, hasGender, 118104 102733, playsFor, 116239 102733, playsFor, 18452 102733, playsFor, 103065 84026, hasGender, 118104 84026, isAffiliatedTo, 60361 84026, isAffiliatedTo, 18452 84026, isAffiliatedTo, 121172 84026, playsFor, 60361 84026, playsFor, 18452 103220, hasGender, 118104 103220, isAffiliatedTo, 60361 103220, isAffiliatedTo, 18452 103220, isAffiliatedTo, 103065 103220, playsFor, 60361 103220, playsFor, 18452 103220, playsFor, 103065 70491, hasGender, 118104 70491, isAffiliatedTo, 18452 70491, playsFor, 18452 69402, playsFor, 60370 69402, playsFor, 60361 69402, playsFor, 116239 69402, playsFor, 18452 54738, hasGender, 118104 54738, isAffiliatedTo, 18452 54738, playsFor, 18452 112194, hasGender, 118104 112194, isAffiliatedTo, 60370 112194, isAffiliatedTo, 60361 112194, isAffiliatedTo, 18452 112194, isAffiliatedTo, 103065 112194, playsFor, 60370 112194, playsFor, 60361 112194, playsFor, 18452 112194, playsFor, 103065 102160, hasGender, 118104 102160, isAffiliatedTo, 60370 102160, isAffiliatedTo, 60361 102160, isAffiliatedTo, 18452 102160, playsFor, 60370 102160, playsFor, 60361 102160, playsFor, 18452 57073, hasGender, 118104 57073, playsFor, 18452 40487, hasGender, 118104 40487, isAffiliatedTo, 18452 40487, playsFor, 18452 93201, hasGender, 118104 93201, isAffiliatedTo, 60370 93201, isAffiliatedTo, 18452 93201, isAffiliatedTo, 103065 93201, playsFor, 60370 93201, playsFor, 18452 93201, playsFor, 103065 43424, hasGender, 118104 43424, isAffiliatedTo, 60361 43424, isAffiliatedTo, 18452 43424, isAffiliatedTo, 121172 43424, playsFor, 60361 43424, playsFor, 18452 43424, playsFor, 121172 112658, hasGender, 118104 112658, isAffiliatedTo, 60361 112658, isAffiliatedTo, 18452 112658, playsFor, 60361 112658, playsFor, 18452 57294, hasGender, 118104 57294, isAffiliatedTo, 18452 57294, isAffiliatedTo, 103065 57294, playsFor, 18452 57294, playsFor, 103065 12485, hasGender, 118104 12485, isAffiliatedTo, 18452 12485, isAffiliatedTo, 103065 12485, playsFor, 18452 12485, playsFor, 103065 52722, hasGender, 118104 52722, isAffiliatedTo, 60361 52722, isAffiliatedTo, 18452 52722, isAffiliatedTo, 103065 52722, playsFor, 60361 52722, playsFor, 18452 52722, playsFor, 103065 66823, hasGender, 118104 66823, playsFor, 60361 66823, playsFor, 18452 66823, playsFor, 121172 112706, hasGender, 118104 112706, isAffiliatedTo, 18452 112706, isAffiliatedTo, 121172 112706, playsFor, 18452 112706, playsFor, 121172 36068, hasGender, 118104 36068, isAffiliatedTo, 60370 36068, isAffiliatedTo, 60361 36068, isAffiliatedTo, 18452 36068, isAffiliatedTo, 121172 36068, playsFor, 60370 36068, playsFor, 60361 36068, playsFor, 18452 36068, playsFor, 121172 82478, hasGender, 118104 82478, isAffiliatedTo, 18452 82478, isAffiliatedTo, 103065 82478, playsFor, 18452 82478, playsFor, 103065 29118, hasGender, 118104 29118, isAffiliatedTo, 18452 29118, playsFor, 18452 89161, hasGender, 118104 89161, isAffiliatedTo, 60370 89161, isAffiliatedTo, 18452 89161, playsFor, 60370 89161, playsFor, 18452 83689, hasGender, 118104 83689, playsFor, 71101 83689, playsFor, 60370 83689, playsFor, 60361 83689, playsFor, 116239 83689, playsFor, 18452 83689, playsFor, 121172 83689, playsFor, 78858 83689, playsFor, 103065 84150, hasGender, 118104 84150, isAffiliatedTo, 60361 84150, isAffiliatedTo, 18452 84150, playsFor, 60361 84150, playsFor, 18452 76080, hasGender, 118104 76080, isAffiliatedTo, 60370 76080, isAffiliatedTo, 60361 76080, isAffiliatedTo, 18452 76080, isAffiliatedTo, 103065 76080, playsFor, 60370 76080, playsFor, 60361 76080, playsFor, 18452 76080, playsFor, 103065 112406, hasGender, 118104 112406, isAffiliatedTo, 60370 112406, isAffiliatedTo, 18452 112406, playsFor, 60370 112406, playsFor, 18452 79247, hasGender, 118104 79247, isAffiliatedTo, 60361 79247, isAffiliatedTo, 18452 79247, playsFor, 60361 79247, playsFor, 18452 37178, hasGender, 118104 37178, isAffiliatedTo, 60361 37178, isAffiliatedTo, 18452 37178, playsFor, 60361 37178, playsFor, 18452 37085, hasGender, 118104 37085, isAffiliatedTo, 18452 37085, isAffiliatedTo, 121172 37085, isAffiliatedTo, 78858 37085, playsFor, 18452 37085, playsFor, 121172 37085, playsFor, 78858 63229, hasGender, 118104 63229, isAffiliatedTo, 60361 63229, isAffiliatedTo, 18452 63229, playsFor, 60361 63229, playsFor, 18452 27003, hasGender, 118104 27003, isAffiliatedTo, 60370 27003, isAffiliatedTo, 60361 27003, isAffiliatedTo, 116239 27003, isAffiliatedTo, 18452 27003, playsFor, 60370 27003, playsFor, 60361 27003, playsFor, 116239 27003, playsFor, 18452 121797, hasGender, 118104 121797, isAffiliatedTo, 60361 121797, isAffiliatedTo, 18452 121797, isAffiliatedTo, 121172 121797, playsFor, 60361 121797, playsFor, 18452 121797, playsFor, 121172 77161, hasGender, 118104 77161, isAffiliatedTo, 60370 77161, isAffiliatedTo, 18452 77161, playsFor, 60370 77161, playsFor, 18452 47914, isAffiliatedTo, 71101 47914, isAffiliatedTo, 18452 47914, playsFor, 71101 47914, playsFor, 18452 48846, hasGender, 118104 48846, isAffiliatedTo, 18452 48846, playsFor, 18452 16146, hasGender, 118104 16146, isAffiliatedTo, 18452 16146, playsFor, 18452 62829, hasGender, 118104 62829, isAffiliatedTo, 18452 62829, playsFor, 18452 84698, hasGender, 118104 84698, isAffiliatedTo, 60361 84698, isAffiliatedTo, 18452 84698, isAffiliatedTo, 121172 84698, playsFor, 60361 84698, playsFor, 18452 84698, playsFor, 121172 118188, hasGender, 118104 118188, isAffiliatedTo, 60370 118188, isAffiliatedTo, 60361 118188, isAffiliatedTo, 18452 118188, playsFor, 60370 118188, playsFor, 60361 118188, playsFor, 18452 46145, hasGender, 118104 46145, isAffiliatedTo, 60361 46145, isAffiliatedTo, 18452 46145, playsFor, 60361 46145, playsFor, 18452 13353, hasGender, 118104 13353, isAffiliatedTo, 60370 13353, isAffiliatedTo, 18452 13353, playsFor, 60370 13353, playsFor, 18452 92228, hasGender, 118104 92228, isAffiliatedTo, 60361 92228, isAffiliatedTo, 18452 92228, isAffiliatedTo, 121172 92228, isAffiliatedTo, 78858 92228, playsFor, 60361 92228, playsFor, 18452 92228, playsFor, 121172 92228, playsFor, 78858 15542, hasGender, 118104 15542, isAffiliatedTo, 18452 41808, hasGender, 118104 41808, isAffiliatedTo, 18452 41808, isAffiliatedTo, 103065 41808, playsFor, 18452 41808, playsFor, 103065 Question: How are Aidan_Collins and C.D._Victoria related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Aidan_Collins", "C.D._Victoria" ], "valid_edges": [ [ "Aidan_Collins", "hasGender", "male" ], [ "Alejandro_Naif", "hasGender", "male" ], [ "Alejandro_Naif", "isAffiliatedTo", "C.D._Marathón" ], [ "Alejandro_Naif", "isAffiliatedTo", "C.D._Victoria" ], [ "Alejandro_Naif", "playsFor", "C.D._Marathón" ], [ "Alejandro_Naif", "playsFor", "C.D._Victoria" ], [ "Allan_Lalín", "hasGender", "male" ], [ "Allan_Lalín", "isAffiliatedTo", "C.D._Victoria" ], [ "Allan_Lalín", "playsFor", "C.D._Victoria" ], [ "Carim_Adippe", "hasGender", "male" ], [ "Carim_Adippe", "isAffiliatedTo", "C.D._Victoria" ], [ "Carim_Adippe", "playsFor", "C.D._Victoria" ], [ "Carlos_Discua", "hasGender", "male" ], [ "Carlos_Discua", "isAffiliatedTo", "C.D._Motagua" ], [ "Carlos_Discua", "isAffiliatedTo", "C.D._Victoria" ], [ "Carlos_Discua", "playsFor", "C.D._Motagua" ], [ "Carlos_Discua", "playsFor", "C.D._Victoria" ], [ "Carlos_Oliva", "hasGender", "male" ], [ "Carlos_Oliva", "isAffiliatedTo", "C.D._Marathón" ], [ "Carlos_Oliva", "isAffiliatedTo", "C.D._Motagua" ], [ "Carlos_Oliva", "isAffiliatedTo", "C.D._Victoria" ], [ "Carlos_Oliva", "isAffiliatedTo", "Platense_F.C." ], [ "Carlos_Oliva", "playsFor", "C.D._Marathón" ], [ "Carlos_Oliva", "playsFor", "C.D._Motagua" ], [ "Carlos_Oliva", "playsFor", "C.D._Victoria" ], [ "Carlos_Oliva", "playsFor", "Platense_F.C." ], [ "Christian_Samir_Martínez", "hasGender", "male" ], [ "Christian_Samir_Martínez", "isAffiliatedTo", "C.D._Motagua" ], [ "Christian_Samir_Martínez", "isAffiliatedTo", "C.D._Victoria" ], [ "Christian_Samir_Martínez", "isAffiliatedTo", "Honduras_national_under-20_football_team" ], [ "Christian_Samir_Martínez", "playsFor", "C.D._Motagua" ], [ "Christian_Samir_Martínez", "playsFor", "Honduras_national_under-20_football_team" ], [ "David_Sierra_(footballer)", "hasGender", "male" ], [ "David_Sierra_(footballer)", "playsFor", "C.D._Victoria" ], [ "Diego_Vásquez", "hasGender", "male" ], [ "Diego_Vásquez", "isAffiliatedTo", 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"male" ], [ "Wilson_Palacios", "isAffiliatedTo", "C.D._Victoria" ], [ "Yermy_Hernández", "hasGender", "male" ], [ "Yermy_Hernández", "isAffiliatedTo", "C.D._Victoria" ], [ "Yermy_Hernández", "isAffiliatedTo", "Platense_F.C." ], [ "Yermy_Hernández", "playsFor", "C.D._Victoria" ], [ "Yermy_Hernández", "playsFor", "Platense_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 112162, Andrychów 104933, Bochnia 81197, Chrzanów 23054, Dobczyce 3358, Dąbrowa_Tarnowska 117526, Gmina_Świątniki_Górne 35198, Gorlice 38684, Grybów 55826, Jordanów 38023, Kamień_Śląski 108034, Kościelisko 86610, Kraków 60652, Krynica-Zdrój 55580, Krzeszowice 120898, Kęty 81232, Lesser_Poland_Voivodeship 51403, Libiąż 22269, Limanowa 74795, Maków_Podhalański 80685, Miechów 49176, Mszana_Dolna 40461, Muszyna 96998, Myślenice 103908, Niepołomice 107442, Nowy_Sącz 1027, Nowy_Targ 59900, Olkusz 59225, Poland 62788, Proszowice 109802, Rabka-Zdrój 103066, Radłów 68260, Rawa_Mazowiecka 35641, Skawina 122123, Stary_Sącz 46746, Sucha_Beskidzka 114958, Słomniki 107831, Tarnów 55969, Trzebinia 32833, Tuchów 32505, Wadowice 23161, Wieliczka 19532, Wolbrom 38030, Zakopane 68379, Zator 29494, Łazy src, edge_attr, dst 112162, isLocatedIn, 81232 112162, isLocatedIn, 59225 104933, isLocatedIn, 81232 104933, isLocatedIn, 59225 81197, isLocatedIn, 81232 81197, isLocatedIn, 59225 23054, isLocatedIn, 81232 23054, isLocatedIn, 59225 3358, isLocatedIn, 81232 3358, isLocatedIn, 59225 117526, isLocatedIn, 81232 35198, isLocatedIn, 81232 35198, isLocatedIn, 59225 38684, isLocatedIn, 81232 38684, isLocatedIn, 59225 55826, isLocatedIn, 81232 55826, isLocatedIn, 59225 38023, isLocatedIn, 81232 38023, isLocatedIn, 59225 108034, isLocatedIn, 81232 108034, isLocatedIn, 59225 86610, isLocatedIn, 81232 86610, isLocatedIn, 59225 60652, isLocatedIn, 81232 60652, isLocatedIn, 59225 55580, isLocatedIn, 81232 55580, isLocatedIn, 59225 120898, isLocatedIn, 81232 120898, isLocatedIn, 59225 51403, isLocatedIn, 81232 51403, isLocatedIn, 59225 22269, isLocatedIn, 81232 22269, isLocatedIn, 59225 74795, isLocatedIn, 81232 74795, isLocatedIn, 59225 80685, isLocatedIn, 81232 80685, isLocatedIn, 59225 49176, isLocatedIn, 81232 49176, isLocatedIn, 59225 40461, isLocatedIn, 81232 40461, isLocatedIn, 59225 96998, isLocatedIn, 81232 96998, isLocatedIn, 59225 103908, isLocatedIn, 81232 103908, isLocatedIn, 59225 107442, isLocatedIn, 81232 107442, isLocatedIn, 59225 1027, isLocatedIn, 81232 1027, isLocatedIn, 59225 59900, isLocatedIn, 81232 59900, isLocatedIn, 59225 62788, isLocatedIn, 81232 62788, isLocatedIn, 59225 109802, isLocatedIn, 81232 109802, isLocatedIn, 59225 103066, isLocatedIn, 81232 103066, isLocatedIn, 59225 68260, isLocatedIn, 59225 35641, isLocatedIn, 81232 35641, isLocatedIn, 59225 122123, isLocatedIn, 81232 122123, isLocatedIn, 59225 46746, isLocatedIn, 81232 46746, isLocatedIn, 59225 114958, isLocatedIn, 81232 114958, isLocatedIn, 59225 107831, isLocatedIn, 81232 107831, isLocatedIn, 59225 55969, isLocatedIn, 81232 55969, isLocatedIn, 59225 32833, isLocatedIn, 81232 32833, isLocatedIn, 59225 32505, isLocatedIn, 81232 32505, isLocatedIn, 59225 23161, isLocatedIn, 81232 23161, isLocatedIn, 59225 19532, isLocatedIn, 81232 19532, isLocatedIn, 59225 38030, isLocatedIn, 81232 38030, isLocatedIn, 59225 68379, isLocatedIn, 81232 68379, isLocatedIn, 59225 29494, isLocatedIn, 81232 29494, isLocatedIn, 59225 Question: In what context are Gmina_Świątniki_Górne and Rawa_Mazowiecka connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gmina_Świątniki_Górne", "Rawa_Mazowiecka" ], "valid_edges": [ [ "Andrychów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Andrychów", "isLocatedIn", "Poland" ], [ "Bochnia", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Bochnia", "isLocatedIn", "Poland" ], [ "Chrzanów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Chrzanów", "isLocatedIn", "Poland" ], [ "Dobczyce", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Dobczyce", "isLocatedIn", "Poland" ], [ "Dąbrowa_Tarnowska", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Dąbrowa_Tarnowska", "isLocatedIn", "Poland" ], [ "Gmina_Świątniki_Górne", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Gorlice", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Gorlice", "isLocatedIn", "Poland" ], [ "Grybów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Grybów", "isLocatedIn", "Poland" ], [ "Jordanów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Jordanów", "isLocatedIn", "Poland" ], [ "Kamień_Śląski", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Kamień_Śląski", "isLocatedIn", "Poland" ], [ "Kościelisko", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Kościelisko", "isLocatedIn", "Poland" ], [ "Kraków", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Kraków", "isLocatedIn", "Poland" ], [ "Krynica-Zdrój", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Krynica-Zdrój", "isLocatedIn", "Poland" ], [ "Krzeszowice", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Krzeszowice", "isLocatedIn", "Poland" ], [ "Kęty", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Kęty", "isLocatedIn", "Poland" ], [ "Libiąż", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Libiąż", "isLocatedIn", "Poland" ], [ "Limanowa", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Limanowa", "isLocatedIn", "Poland" ], [ "Maków_Podhalański", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Maków_Podhalański", "isLocatedIn", "Poland" ], [ "Miechów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Miechów", "isLocatedIn", "Poland" ], [ "Mszana_Dolna", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Mszana_Dolna", "isLocatedIn", "Poland" ], [ "Muszyna", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Muszyna", "isLocatedIn", "Poland" ], [ "Myślenice", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Myślenice", "isLocatedIn", "Poland" ], [ "Niepołomice", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Niepołomice", "isLocatedIn", "Poland" ], [ "Nowy_Sącz", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Nowy_Sącz", "isLocatedIn", "Poland" ], [ "Nowy_Targ", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Nowy_Targ", "isLocatedIn", "Poland" ], [ "Olkusz", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Olkusz", "isLocatedIn", "Poland" ], [ "Proszowice", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Proszowice", "isLocatedIn", "Poland" ], [ "Rabka-Zdrój", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Rabka-Zdrój", "isLocatedIn", "Poland" ], [ "Radłów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Radłów", "isLocatedIn", "Poland" ], [ "Rawa_Mazowiecka", "isLocatedIn", "Poland" ], [ "Skawina", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Skawina", "isLocatedIn", "Poland" ], [ "Stary_Sącz", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Stary_Sącz", "isLocatedIn", "Poland" ], [ "Sucha_Beskidzka", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Sucha_Beskidzka", "isLocatedIn", "Poland" ], [ "Słomniki", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Słomniki", "isLocatedIn", "Poland" ], [ "Tarnów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Tarnów", "isLocatedIn", "Poland" ], [ "Trzebinia", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Trzebinia", "isLocatedIn", "Poland" ], [ "Tuchów", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Tuchów", "isLocatedIn", "Poland" ], [ "Wadowice", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Wadowice", "isLocatedIn", "Poland" ], [ "Wieliczka", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Wieliczka", "isLocatedIn", "Poland" ], [ "Wolbrom", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Wolbrom", "isLocatedIn", "Poland" ], [ "Zakopane", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Zakopane", "isLocatedIn", "Poland" ], [ "Zator", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Zator", "isLocatedIn", "Poland" ], [ "Łazy", "isLocatedIn", "Lesser_Poland_Voivodeship" ], [ "Łazy", "isLocatedIn", "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 90476, Akbar_Hashemi_Rafsanjani 49967, Ali_Khamenei 72267, Aloísio_José_da_Silva 120146, Ata'ollah_Mohajerani 44459, Behzad_Razavi 33270, Dariush_Forouhar 107101, Dariush_Mehrjui 120719, Eshaq_Jahangiri 70385, Hassan_Rouhani 2334, Hossein_Noori_Hamedani 68734, Iran 21205, Jamshid_Mashayekhi 70190, Mahmoud_Ahmadinejad 111643, Mani_Haghighi 101227, Mir-Hossein_Mousavi 83746, Mohammad_Beheshti 117939, Mohammad_Khatami 67844, Mohammad_Mosaddegh 68166, Rezā_Shāh 22307, Shiraz_County 118104, male src, edge_attr, dst 90476, hasGender, 118104 90476, isCitizenOf, 68734 90476, isPoliticianOf, 68734 49967, hasGender, 118104 49967, isLeaderOf, 68734 49967, isPoliticianOf, 68734 72267, hasGender, 118104 120146, hasGender, 118104 120146, isPoliticianOf, 68734 44459, hasGender, 118104 44459, isCitizenOf, 68734 33270, hasGender, 118104 33270, isCitizenOf, 68734 33270, isPoliticianOf, 68734 107101, hasGender, 118104 107101, isCitizenOf, 68734 120719, hasGender, 118104 120719, isLeaderOf, 68734 120719, isPoliticianOf, 68734 70385, hasGender, 118104 70385, isLeaderOf, 68734 70385, isPoliticianOf, 68734 2334, hasGender, 118104 2334, isCitizenOf, 68734 21205, hasGender, 118104 21205, isCitizenOf, 68734 70190, hasGender, 118104 70190, isPoliticianOf, 68734 111643, hasGender, 118104 111643, isCitizenOf, 68734 101227, hasGender, 118104 101227, isPoliticianOf, 68734 83746, hasGender, 118104 83746, isCitizenOf, 68734 117939, hasGender, 118104 117939, isPoliticianOf, 68734 67844, hasGender, 118104 67844, isPoliticianOf, 68734 68166, hasGender, 118104 68166, isPoliticianOf, 68734 22307, isLocatedIn, 68734 Question: How are Aloísio_José_da_Silva and Shiraz_County related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Aloísio_José_da_Silva", "Shiraz_County" ], "valid_edges": [ [ "Akbar_Hashemi_Rafsanjani", "hasGender", "male" ], [ "Akbar_Hashemi_Rafsanjani", "isCitizenOf", "Iran" ], [ "Akbar_Hashemi_Rafsanjani", "isPoliticianOf", "Iran" ], [ "Ali_Khamenei", "hasGender", "male" ], [ "Ali_Khamenei", "isLeaderOf", "Iran" ], [ "Ali_Khamenei", "isPoliticianOf", "Iran" ], [ "Aloísio_José_da_Silva", "hasGender", "male" ], [ "Ata'ollah_Mohajerani", "hasGender", "male" ], [ "Ata'ollah_Mohajerani", "isPoliticianOf", "Iran" ], [ "Behzad_Razavi", "hasGender", "male" ], [ "Behzad_Razavi", "isCitizenOf", "Iran" ], [ "Dariush_Forouhar", "hasGender", "male" ], [ "Dariush_Forouhar", "isCitizenOf", "Iran" ], [ "Dariush_Forouhar", "isPoliticianOf", "Iran" ], [ "Dariush_Mehrjui", "hasGender", "male" ], [ "Dariush_Mehrjui", "isCitizenOf", "Iran" ], [ "Eshaq_Jahangiri", "hasGender", "male" ], [ "Eshaq_Jahangiri", "isLeaderOf", "Iran" ], [ "Eshaq_Jahangiri", "isPoliticianOf", "Iran" ], [ "Hassan_Rouhani", "hasGender", "male" ], [ "Hassan_Rouhani", "isLeaderOf", "Iran" ], [ "Hassan_Rouhani", "isPoliticianOf", "Iran" ], [ "Hossein_Noori_Hamedani", "hasGender", "male" ], [ "Hossein_Noori_Hamedani", "isCitizenOf", "Iran" ], [ "Jamshid_Mashayekhi", "hasGender", "male" ], [ "Jamshid_Mashayekhi", "isCitizenOf", "Iran" ], [ "Mahmoud_Ahmadinejad", "hasGender", "male" ], [ "Mahmoud_Ahmadinejad", "isPoliticianOf", "Iran" ], [ "Mani_Haghighi", "hasGender", "male" ], [ "Mani_Haghighi", "isCitizenOf", "Iran" ], [ "Mir-Hossein_Mousavi", "hasGender", "male" ], [ "Mir-Hossein_Mousavi", "isPoliticianOf", "Iran" ], [ "Mohammad_Beheshti", "hasGender", "male" ], [ "Mohammad_Beheshti", "isCitizenOf", "Iran" ], [ "Mohammad_Khatami", "hasGender", "male" ], [ "Mohammad_Khatami", "isPoliticianOf", "Iran" ], [ "Mohammad_Mosaddegh", "hasGender", "male" ], [ "Mohammad_Mosaddegh", "isPoliticianOf", "Iran" ], [ "Rezā_Shāh", "hasGender", "male" ], [ "Rezā_Shāh", "isPoliticianOf", "Iran" ], [ "Shiraz_County", "isLocatedIn", "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 12491, Argentinos_Juniors 68995, Jan_Gunnar_Solli 118775, Marcelo_Sarmiento 57399, Odds_BK 40697, Ruberth_Morán src, edge_attr, dst 68995, isAffiliatedTo, 57399 68995, playsFor, 57399 118775, isAffiliatedTo, 12491 118775, playsFor, 12491 40697, isAffiliatedTo, 12491 40697, isAffiliatedTo, 57399 40697, playsFor, 12491 40697, playsFor, 57399 Question: How are Jan_Gunnar_Solli and Marcelo_Sarmiento related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Jan_Gunnar_Solli", "Marcelo_Sarmiento" ], "valid_edges": [ [ "Jan_Gunnar_Solli", "isAffiliatedTo", "Odds_BK" ], [ "Jan_Gunnar_Solli", "playsFor", "Odds_BK" ], [ "Marcelo_Sarmiento", "isAffiliatedTo", "Argentinos_Juniors" ], [ "Marcelo_Sarmiento", "playsFor", "Argentinos_Juniors" ], [ "Ruberth_Morán", "isAffiliatedTo", "Argentinos_Juniors" ], [ "Ruberth_Morán", "isAffiliatedTo", "Odds_BK" ], [ "Ruberth_Morán", "playsFor", "Argentinos_Juniors" ], [ "Ruberth_Morán", "playsFor", "Odds_BK" ] ], "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 50660, Alingsås 103592, Alingsås_Municipality 97897, Borås 50448, Borås_Municipality 122349, Falköping 91437, Falköping_Municipality 33375, Gothenburg_Municipality 4690, Gullspång_Municipality 107687, Härryda_Municipality 101624, Jamaica,_Queens 32589, Lerum_Municipality 106117, Lidköping 94765, Lidköping_Municipality 119615, Lilla_Edet_Municipality 36017, Mariestad 34882, Mark_Municipality 82521, Mölndal 101988, Mölndal_Municipality 36945, Partille_Municipality 119947, Skara 103534, Skara_Municipality 115626, Skövde 80492, Skövde_Municipality 6827, Sweden 44340, Trollhättan 94944, Trollhättan_Municipality 100070, Ulricehamn 42035, Ulricehamn_Municipality 29157, United_States 35407, Vänersborg 89624, Vänersborg_Municipality 61646, Västra_Götaland_County 80731, Western_Sweden 72767, Öckerö_Municipality src, edge_attr, dst 50660, isLocatedIn, 61646 50660, isLocatedIn, 80731 103592, isLocatedIn, 61646 103592, isLocatedIn, 80731 97897, isLocatedIn, 61646 97897, isLocatedIn, 80731 50448, isLocatedIn, 61646 50448, isLocatedIn, 80731 122349, isLocatedIn, 61646 122349, isLocatedIn, 80731 91437, isLocatedIn, 61646 91437, isLocatedIn, 80731 33375, isLocatedIn, 61646 33375, isLocatedIn, 80731 4690, isLocatedIn, 61646 4690, isLocatedIn, 80731 107687, isLocatedIn, 61646 107687, isLocatedIn, 80731 101624, isLocatedIn, 29157 32589, isLocatedIn, 61646 32589, isLocatedIn, 80731 106117, isLocatedIn, 61646 106117, isLocatedIn, 80731 94765, isLocatedIn, 61646 94765, isLocatedIn, 80731 119615, isLocatedIn, 61646 119615, isLocatedIn, 80731 36017, isLocatedIn, 61646 36017, isLocatedIn, 80731 34882, isLocatedIn, 61646 34882, isLocatedIn, 80731 82521, isLocatedIn, 61646 82521, isLocatedIn, 80731 101988, isLocatedIn, 61646 101988, isLocatedIn, 80731 36945, isLocatedIn, 61646 36945, isLocatedIn, 80731 119947, isLocatedIn, 61646 119947, isLocatedIn, 80731 103534, isLocatedIn, 61646 103534, isLocatedIn, 80731 115626, isLocatedIn, 61646 115626, isLocatedIn, 80731 80492, isLocatedIn, 61646 80492, isLocatedIn, 80731 6827, dealsWith, 29157 44340, isLocatedIn, 61646 44340, isLocatedIn, 80731 94944, isLocatedIn, 61646 94944, isLocatedIn, 80731 100070, isLocatedIn, 61646 100070, isLocatedIn, 80731 42035, isLocatedIn, 61646 42035, isLocatedIn, 80731 35407, isLocatedIn, 61646 35407, isLocatedIn, 80731 89624, isLocatedIn, 61646 89624, isLocatedIn, 80731 61646, isLocatedIn, 6827 61646, isLocatedIn, 80731 80731, isLocatedIn, 61646 72767, isLocatedIn, 61646 72767, isLocatedIn, 80731 Question: For what reason are Jamaica,_Queens and Lerum_Municipality associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Jamaica,_Queens", "Lerum_Municipality" ], "valid_edges": [ [ "Alingsås", "isLocatedIn", "Västra_Götaland_County" ], [ "Alingsås", "isLocatedIn", "Western_Sweden" ], [ "Alingsås_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Alingsås_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Borås", "isLocatedIn", "Västra_Götaland_County" ], [ "Borås", "isLocatedIn", "Western_Sweden" ], [ "Borås_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Borås_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Falköping", "isLocatedIn", "Västra_Götaland_County" ], [ "Falköping", "isLocatedIn", "Western_Sweden" ], [ "Falköping_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Falköping_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Gothenburg_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Gothenburg_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Gullspång_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Gullspång_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Härryda_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Härryda_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Jamaica,_Queens", "isLocatedIn", "United_States" ], [ "Lerum_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Lerum_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Lidköping", "isLocatedIn", "Västra_Götaland_County" ], [ "Lidköping", "isLocatedIn", "Western_Sweden" ], [ "Lidköping_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Lidköping_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Lilla_Edet_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Lilla_Edet_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Mariestad", "isLocatedIn", "Västra_Götaland_County" ], [ "Mariestad", "isLocatedIn", "Western_Sweden" ], [ "Mark_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Mark_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Mölndal", "isLocatedIn", "Västra_Götaland_County" ], [ "Mölndal", "isLocatedIn", "Western_Sweden" ], [ "Mölndal_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Mölndal_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Partille_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Partille_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Skara", "isLocatedIn", "Västra_Götaland_County" ], [ "Skara", "isLocatedIn", "Western_Sweden" ], [ "Skara_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Skara_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Skövde", "isLocatedIn", "Västra_Götaland_County" ], [ "Skövde", "isLocatedIn", "Western_Sweden" ], [ "Skövde_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Skövde_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Sweden", "dealsWith", "United_States" ], [ "Trollhättan", "isLocatedIn", "Västra_Götaland_County" ], [ "Trollhättan", "isLocatedIn", "Western_Sweden" ], [ "Trollhättan_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Trollhättan_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Ulricehamn", "isLocatedIn", "Västra_Götaland_County" ], [ "Ulricehamn", "isLocatedIn", "Western_Sweden" ], [ "Ulricehamn_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Ulricehamn_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Vänersborg", "isLocatedIn", "Västra_Götaland_County" ], [ "Vänersborg", "isLocatedIn", "Western_Sweden" ], [ "Vänersborg_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Vänersborg_Municipality", "isLocatedIn", "Western_Sweden" ], [ "Västra_Götaland_County", "isLocatedIn", "Sweden" ], [ "Västra_Götaland_County", "isLocatedIn", "Western_Sweden" ], [ "Western_Sweden", "isLocatedIn", "Västra_Götaland_County" ], [ "Öckerö_Municipality", "isLocatedIn", "Västra_Götaland_County" ], [ "Öckerö_Municipality", "isLocatedIn", "Western_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 26366, Adam_Boyd 93641, Albert_Jarrett 56218, Albert_Scanlon 68533, Alex_Puccio 108145, Allan_Gilliver 48569, Anthony_Elding 51602, Belper_Town_F.C. 50891, Ben_Futcher 72074, Ben_Sedgemore 107012, Boston_United_F.C. 29340, Brian_Birch 40352, Brian_Jackson_(footballer_born_1933) 20215, Colin_Cryan 15516, Constance_of_Antioch 122878, Dany_N'Guessan 67315, Dave_Gilbert_(footballer) 43809, Dean_West 93315, Dene_Cropper 58378, Denise_DeBartolo_York 33057, Devon_White_(footballer) 4991, Drewe_Broughton 99274, Eric_McManus 80626, Francis_Green_(footballer) 85013, Gary_Brabin 24417, Gary_King_(footballer) 68929, Gary_Mills_(footballer,_born_1981) 50498, Gary_West 62677, Graham_Lewis_(footballer) 56359, Humphrey_Atkins 48005, Jackie_Gallagher_(footballer) 64249, Jason_Lee_(footballer) 15621, Jason_Minett 49414, Jim_Smith_(footballer) 108817, Keith_Alexander_(footballer) 58015, Keith_Scott_(footballer) 121645, Kevin_Austin 107512, Kevin_Hector 117919, Lawrie_Dudfield 121455, Lee_Beevers 82609, Lee_Butler_(footballer) 7528, Leroy_Chambers 51118, Lincoln_City_F.C. 12437, Little_Pattie 73990, Mark_Camm 96064, Martin_Carruthers 105431, Matt_Carmichael_(footballer) 35082, Matt_Dickins 96664, Matthew_Bloomer 30123, Murder_of_JonBenét_Ramsey 27665, Neil_Redfearn 55981, Nurse_Witch_Komugi 87506, Oliver_Ryan 60018, Patricia_McKissack 67757, Paul_Groves_(footballer) 70061, Paul_Mayo 184, Paul_Pettinger 43149, Peter_Bore 31631, Phil_Brown_(footballer,_born_1966) 111765, Phil_Watt 47784, Richard_Logan_(footballer_born_1969) 90032, Richard_Logan_(footballer_born_1982) 26006, Ryan_Semple_(footballer_born_1985) 108071, Scott_Garner 73289, Shane_Clarke 46007, Shane_Nicholson 123099, Simon_Weaver 70347, Spencer_Weir-Daley 98479, Steve_Buckley_(footballer) 19900, Steve_Stoutt 30044, Steve_Thompson_(footballer,_born_1955) 119618, Steve_Welsh 72938, Thomas_Cajetan 54656, Tony_Battersby 106702, Walter_Parry_Haskett_Smith 80384, female src, edge_attr, dst 26366, isAffiliatedTo, 107012 26366, isAffiliatedTo, 51118 26366, playsFor, 107012 26366, playsFor, 51118 93641, isAffiliatedTo, 107012 93641, isAffiliatedTo, 51118 93641, playsFor, 107012 93641, playsFor, 51118 56218, isAffiliatedTo, 51602 56218, isAffiliatedTo, 51118 56218, playsFor, 51602 56218, playsFor, 51118 68533, hasGender, 80384 68533, playsFor, 51118 108145, isAffiliatedTo, 107012 108145, isAffiliatedTo, 51118 108145, playsFor, 107012 108145, playsFor, 51118 48569, isAffiliatedTo, 107012 48569, isAffiliatedTo, 51118 48569, playsFor, 107012 48569, playsFor, 51118 50891, isAffiliatedTo, 107012 50891, isAffiliatedTo, 51118 50891, playsFor, 107012 50891, playsFor, 51118 72074, isAffiliatedTo, 107012 72074, isAffiliatedTo, 51118 72074, playsFor, 107012 72074, playsFor, 51118 29340, isAffiliatedTo, 107012 29340, isAffiliatedTo, 51118 29340, playsFor, 107012 29340, playsFor, 51118 40352, isAffiliatedTo, 107012 40352, isAffiliatedTo, 51118 40352, playsFor, 107012 40352, playsFor, 51118 20215, isAffiliatedTo, 107012 20215, isAffiliatedTo, 51118 20215, playsFor, 107012 20215, playsFor, 51118 15516, hasGender, 80384 122878, isAffiliatedTo, 107012 122878, isAffiliatedTo, 51118 122878, playsFor, 107012 122878, playsFor, 51118 67315, isAffiliatedTo, 107012 67315, isAffiliatedTo, 51118 67315, playsFor, 107012 67315, playsFor, 51118 43809, isAffiliatedTo, 107012 43809, isAffiliatedTo, 51118 43809, playsFor, 107012 43809, playsFor, 51118 93315, isAffiliatedTo, 107012 93315, isAffiliatedTo, 51118 93315, playsFor, 107012 93315, playsFor, 51118 58378, hasGender, 80384 58378, playsFor, 51602 33057, isAffiliatedTo, 107012 33057, isAffiliatedTo, 51118 33057, playsFor, 107012 33057, playsFor, 51118 4991, isAffiliatedTo, 107012 4991, isAffiliatedTo, 51118 4991, playsFor, 107012 4991, playsFor, 51118 99274, isAffiliatedTo, 107012 99274, isAffiliatedTo, 51118 99274, playsFor, 107012 99274, playsFor, 51118 80626, isAffiliatedTo, 107012 80626, isAffiliatedTo, 51118 80626, playsFor, 107012 80626, playsFor, 51118 85013, isAffiliatedTo, 107012 85013, isAffiliatedTo, 51118 85013, playsFor, 107012 85013, playsFor, 51118 24417, isAffiliatedTo, 107012 24417, isAffiliatedTo, 51118 24417, playsFor, 107012 24417, playsFor, 51118 68929, isAffiliatedTo, 107012 68929, isAffiliatedTo, 51118 68929, playsFor, 107012 68929, playsFor, 51118 50498, isAffiliatedTo, 107012 50498, isAffiliatedTo, 51118 50498, playsFor, 107012 50498, playsFor, 51118 62677, isAffiliatedTo, 51602 62677, isAffiliatedTo, 51118 62677, playsFor, 51602 62677, playsFor, 51118 56359, playsFor, 107012 56359, playsFor, 51118 48005, isAffiliatedTo, 107012 48005, isAffiliatedTo, 51118 48005, playsFor, 107012 48005, playsFor, 51118 64249, isAffiliatedTo, 107012 64249, isAffiliatedTo, 51118 64249, playsFor, 107012 64249, playsFor, 51118 15621, isAffiliatedTo, 107012 15621, isAffiliatedTo, 51118 15621, playsFor, 107012 15621, playsFor, 51118 49414, isAffiliatedTo, 107012 49414, isAffiliatedTo, 51118 49414, playsFor, 107012 49414, playsFor, 51118 108817, isAffiliatedTo, 107012 108817, isAffiliatedTo, 51118 108817, playsFor, 107012 108817, playsFor, 51118 58015, isAffiliatedTo, 107012 58015, isAffiliatedTo, 51118 58015, playsFor, 107012 58015, playsFor, 51118 121645, isAffiliatedTo, 107012 121645, isAffiliatedTo, 51118 121645, playsFor, 107012 121645, playsFor, 51118 107512, isAffiliatedTo, 51602 107512, isAffiliatedTo, 107012 107512, playsFor, 51602 107512, playsFor, 107012 117919, isAffiliatedTo, 107012 117919, isAffiliatedTo, 51118 117919, playsFor, 107012 117919, playsFor, 51118 121455, isAffiliatedTo, 107012 121455, isAffiliatedTo, 51118 121455, playsFor, 107012 121455, playsFor, 51118 82609, isAffiliatedTo, 107012 82609, isAffiliatedTo, 51118 82609, playsFor, 107012 82609, playsFor, 51118 7528, playsFor, 51602 7528, playsFor, 107012 12437, hasGender, 80384 12437, playsFor, 51118 73990, playsFor, 51602 73990, playsFor, 107012 73990, playsFor, 51118 96064, isAffiliatedTo, 107012 96064, isAffiliatedTo, 51118 96064, playsFor, 107012 96064, playsFor, 51118 105431, isAffiliatedTo, 107012 105431, isAffiliatedTo, 51118 105431, playsFor, 107012 105431, playsFor, 51118 35082, isAffiliatedTo, 107012 35082, isAffiliatedTo, 51118 35082, playsFor, 107012 35082, playsFor, 51118 96664, isAffiliatedTo, 107012 96664, isAffiliatedTo, 51118 96664, playsFor, 107012 96664, playsFor, 51118 30123, hasGender, 80384 30123, playsFor, 107012 27665, isAffiliatedTo, 107012 27665, isAffiliatedTo, 51118 27665, playsFor, 107012 27665, playsFor, 51118 55981, hasGender, 80384 55981, playsFor, 51118 87506, isAffiliatedTo, 51602 87506, isAffiliatedTo, 107012 87506, isAffiliatedTo, 51118 87506, playsFor, 51602 87506, playsFor, 107012 87506, playsFor, 51118 60018, hasGender, 80384 60018, playsFor, 51118 67757, isAffiliatedTo, 51602 67757, isAffiliatedTo, 51118 67757, playsFor, 51602 67757, playsFor, 51118 70061, isAffiliatedTo, 107012 70061, isAffiliatedTo, 51118 70061, playsFor, 107012 70061, playsFor, 51118 184, isAffiliatedTo, 51602 184, isAffiliatedTo, 51118 184, playsFor, 51602 184, playsFor, 51118 43149, isAffiliatedTo, 107012 43149, isAffiliatedTo, 51118 43149, playsFor, 107012 43149, playsFor, 51118 31631, isAffiliatedTo, 107012 31631, isAffiliatedTo, 51118 31631, playsFor, 107012 31631, playsFor, 51118 111765, isAffiliatedTo, 51602 111765, isAffiliatedTo, 107012 111765, isAffiliatedTo, 51118 111765, playsFor, 51602 111765, playsFor, 107012 111765, playsFor, 51118 47784, isAffiliatedTo, 51602 47784, isAffiliatedTo, 51118 47784, playsFor, 51602 47784, playsFor, 51118 90032, isAffiliatedTo, 107012 90032, isAffiliatedTo, 51118 90032, playsFor, 107012 90032, playsFor, 51118 26006, isAffiliatedTo, 107012 26006, isAffiliatedTo, 51118 26006, playsFor, 107012 26006, playsFor, 51118 108071, playsFor, 107012 108071, playsFor, 51118 73289, isAffiliatedTo, 107012 73289, isAffiliatedTo, 51118 73289, playsFor, 107012 73289, playsFor, 51118 46007, isAffiliatedTo, 107012 46007, isAffiliatedTo, 51118 46007, playsFor, 107012 46007, playsFor, 51118 123099, isAffiliatedTo, 107012 123099, isAffiliatedTo, 51118 123099, playsFor, 107012 123099, playsFor, 51118 70347, isAffiliatedTo, 107012 70347, isAffiliatedTo, 51118 70347, playsFor, 107012 70347, playsFor, 51118 98479, isAffiliatedTo, 107012 98479, isAffiliatedTo, 51118 98479, playsFor, 107012 98479, playsFor, 51118 19900, isAffiliatedTo, 107012 19900, isAffiliatedTo, 51118 19900, playsFor, 107012 19900, playsFor, 51118 30044, isAffiliatedTo, 107012 30044, isAffiliatedTo, 51118 30044, playsFor, 107012 30044, playsFor, 51118 119618, isAffiliatedTo, 107012 119618, isAffiliatedTo, 51118 119618, playsFor, 51118 72938, playsFor, 107012 72938, playsFor, 51118 54656, isAffiliatedTo, 107012 54656, isAffiliatedTo, 51118 54656, playsFor, 107012 54656, playsFor, 51118 106702, playsFor, 107012 106702, playsFor, 51118 Question: For what reason are Constance_of_Antioch and Phil_Watt associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Constance_of_Antioch", "Phil_Watt" ], "valid_edges": [ [ "Adam_Boyd", "isAffiliatedTo", "Boston_United_F.C." ], [ "Adam_Boyd", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Adam_Boyd", "playsFor", "Boston_United_F.C." ], [ "Adam_Boyd", "playsFor", "Lincoln_City_F.C." ], [ "Albert_Jarrett", "isAffiliatedTo", "Boston_United_F.C." ], [ "Albert_Jarrett", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Albert_Jarrett", "playsFor", "Boston_United_F.C." ], [ "Albert_Jarrett", "playsFor", "Lincoln_City_F.C." ], [ "Albert_Scanlon", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Albert_Scanlon", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Albert_Scanlon", "playsFor", "Belper_Town_F.C." ], [ "Albert_Scanlon", "playsFor", "Lincoln_City_F.C." ], [ "Alex_Puccio", "hasGender", "female" ], [ "Alex_Puccio", "playsFor", "Lincoln_City_F.C." ], [ "Allan_Gilliver", "isAffiliatedTo", "Boston_United_F.C." ], [ "Allan_Gilliver", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Allan_Gilliver", "playsFor", "Boston_United_F.C." ], [ "Allan_Gilliver", "playsFor", "Lincoln_City_F.C." ], [ "Anthony_Elding", "isAffiliatedTo", "Boston_United_F.C." ], [ "Anthony_Elding", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Anthony_Elding", "playsFor", "Boston_United_F.C." ], [ "Anthony_Elding", "playsFor", "Lincoln_City_F.C." ], [ "Ben_Futcher", "isAffiliatedTo", "Boston_United_F.C." ], [ "Ben_Futcher", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Ben_Futcher", "playsFor", "Boston_United_F.C." ], [ "Ben_Futcher", "playsFor", "Lincoln_City_F.C." ], [ "Ben_Sedgemore", "isAffiliatedTo", "Boston_United_F.C." ], [ "Ben_Sedgemore", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Ben_Sedgemore", "playsFor", "Boston_United_F.C." ], [ "Ben_Sedgemore", "playsFor", "Lincoln_City_F.C." ], [ "Brian_Birch", "isAffiliatedTo", "Boston_United_F.C." ], [ "Brian_Birch", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Brian_Birch", "playsFor", "Boston_United_F.C." ], [ "Brian_Birch", "playsFor", "Lincoln_City_F.C." ], [ "Brian_Jackson_(footballer_born_1933)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Brian_Jackson_(footballer_born_1933)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Brian_Jackson_(footballer_born_1933)", "playsFor", "Boston_United_F.C." ], [ "Brian_Jackson_(footballer_born_1933)", "playsFor", "Lincoln_City_F.C." ], [ "Colin_Cryan", "isAffiliatedTo", "Boston_United_F.C." ], [ "Colin_Cryan", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Colin_Cryan", "playsFor", "Boston_United_F.C." ], [ "Colin_Cryan", "playsFor", "Lincoln_City_F.C." ], [ "Constance_of_Antioch", "hasGender", "female" ], [ "Dany_N'Guessan", "isAffiliatedTo", "Boston_United_F.C." ], [ "Dany_N'Guessan", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Dany_N'Guessan", "playsFor", "Boston_United_F.C." ], [ "Dany_N'Guessan", "playsFor", "Lincoln_City_F.C." ], [ "Dave_Gilbert_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Dave_Gilbert_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Dave_Gilbert_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Dave_Gilbert_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Dean_West", "isAffiliatedTo", "Boston_United_F.C." ], [ "Dean_West", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Dean_West", "playsFor", "Boston_United_F.C." ], [ "Dean_West", "playsFor", "Lincoln_City_F.C." ], [ "Dene_Cropper", "isAffiliatedTo", "Boston_United_F.C." ], [ "Dene_Cropper", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Dene_Cropper", "playsFor", "Boston_United_F.C." ], [ "Dene_Cropper", "playsFor", "Lincoln_City_F.C." ], [ "Denise_DeBartolo_York", "hasGender", "female" ], [ "Denise_DeBartolo_York", "playsFor", "Belper_Town_F.C." ], [ "Devon_White_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Devon_White_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Devon_White_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Devon_White_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Drewe_Broughton", "isAffiliatedTo", "Boston_United_F.C." ], [ "Drewe_Broughton", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Drewe_Broughton", "playsFor", "Boston_United_F.C." ], [ "Drewe_Broughton", "playsFor", "Lincoln_City_F.C." ], [ "Eric_McManus", "isAffiliatedTo", "Boston_United_F.C." ], [ "Eric_McManus", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Eric_McManus", "playsFor", "Boston_United_F.C." ], [ "Eric_McManus", "playsFor", "Lincoln_City_F.C." ], [ "Francis_Green_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Francis_Green_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Francis_Green_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Francis_Green_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Gary_Brabin", "isAffiliatedTo", "Boston_United_F.C." ], [ "Gary_Brabin", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Gary_Brabin", "playsFor", "Boston_United_F.C." ], [ "Gary_Brabin", "playsFor", "Lincoln_City_F.C." ], [ "Gary_King_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Gary_King_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Gary_King_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Gary_King_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Gary_Mills_(footballer,_born_1981)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Gary_Mills_(footballer,_born_1981)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Gary_Mills_(footballer,_born_1981)", "playsFor", "Boston_United_F.C." ], [ "Gary_Mills_(footballer,_born_1981)", "playsFor", "Lincoln_City_F.C." ], [ "Gary_West", "isAffiliatedTo", "Boston_United_F.C." ], [ "Gary_West", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Gary_West", "playsFor", "Boston_United_F.C." ], [ "Gary_West", "playsFor", "Lincoln_City_F.C." ], [ "Graham_Lewis_(footballer)", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Graham_Lewis_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Graham_Lewis_(footballer)", "playsFor", "Belper_Town_F.C." ], [ "Graham_Lewis_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Humphrey_Atkins", "playsFor", "Boston_United_F.C." ], [ "Humphrey_Atkins", "playsFor", "Lincoln_City_F.C." ], [ "Jackie_Gallagher_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Jackie_Gallagher_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Jackie_Gallagher_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Jackie_Gallagher_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Jason_Lee_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Jason_Lee_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Jason_Lee_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Jason_Lee_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Jason_Minett", "isAffiliatedTo", "Boston_United_F.C." ], [ "Jason_Minett", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Jason_Minett", "playsFor", "Boston_United_F.C." ], [ "Jason_Minett", "playsFor", "Lincoln_City_F.C." ], [ "Jim_Smith_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Jim_Smith_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Jim_Smith_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Jim_Smith_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Keith_Alexander_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Keith_Alexander_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Keith_Alexander_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Keith_Alexander_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Keith_Scott_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Keith_Scott_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Keith_Scott_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Keith_Scott_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Kevin_Austin", "isAffiliatedTo", "Boston_United_F.C." ], [ "Kevin_Austin", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Kevin_Austin", "playsFor", "Boston_United_F.C." ], [ "Kevin_Austin", "playsFor", "Lincoln_City_F.C." ], [ "Kevin_Hector", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Kevin_Hector", "isAffiliatedTo", "Boston_United_F.C." ], [ "Kevin_Hector", "playsFor", "Belper_Town_F.C." ], [ "Kevin_Hector", "playsFor", "Boston_United_F.C." ], [ "Lawrie_Dudfield", "isAffiliatedTo", "Boston_United_F.C." ], [ "Lawrie_Dudfield", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Lawrie_Dudfield", "playsFor", "Boston_United_F.C." ], [ "Lawrie_Dudfield", "playsFor", "Lincoln_City_F.C." ], [ "Lee_Beevers", "isAffiliatedTo", "Boston_United_F.C." ], [ "Lee_Beevers", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Lee_Beevers", "playsFor", "Boston_United_F.C." ], [ "Lee_Beevers", "playsFor", "Lincoln_City_F.C." ], [ "Lee_Butler_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Lee_Butler_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Lee_Butler_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Lee_Butler_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Leroy_Chambers", "playsFor", "Belper_Town_F.C." ], [ "Leroy_Chambers", "playsFor", "Boston_United_F.C." ], [ "Little_Pattie", "hasGender", "female" ], [ "Little_Pattie", "playsFor", "Lincoln_City_F.C." ], [ "Mark_Camm", "playsFor", "Belper_Town_F.C." ], [ "Mark_Camm", "playsFor", "Boston_United_F.C." ], [ "Mark_Camm", "playsFor", "Lincoln_City_F.C." ], [ "Martin_Carruthers", "isAffiliatedTo", "Boston_United_F.C." ], [ "Martin_Carruthers", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Martin_Carruthers", "playsFor", "Boston_United_F.C." ], [ "Martin_Carruthers", "playsFor", "Lincoln_City_F.C." ], [ "Matt_Carmichael_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Matt_Carmichael_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Matt_Carmichael_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Matt_Carmichael_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Matt_Dickins", "isAffiliatedTo", "Boston_United_F.C." ], [ "Matt_Dickins", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Matt_Dickins", "playsFor", "Boston_United_F.C." ], [ "Matt_Dickins", "playsFor", "Lincoln_City_F.C." ], [ "Matthew_Bloomer", "isAffiliatedTo", "Boston_United_F.C." ], [ "Matthew_Bloomer", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Matthew_Bloomer", "playsFor", "Boston_United_F.C." ], [ "Matthew_Bloomer", "playsFor", "Lincoln_City_F.C." ], [ "Murder_of_JonBenét_Ramsey", "hasGender", "female" ], [ "Murder_of_JonBenét_Ramsey", "playsFor", "Boston_United_F.C." ], [ "Neil_Redfearn", "isAffiliatedTo", "Boston_United_F.C." ], [ "Neil_Redfearn", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Neil_Redfearn", "playsFor", "Boston_United_F.C." ], [ "Neil_Redfearn", "playsFor", "Lincoln_City_F.C." ], [ "Nurse_Witch_Komugi", "hasGender", "female" ], [ "Nurse_Witch_Komugi", "playsFor", "Lincoln_City_F.C." ], [ "Oliver_Ryan", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Oliver_Ryan", "isAffiliatedTo", "Boston_United_F.C." ], [ "Oliver_Ryan", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Oliver_Ryan", "playsFor", "Belper_Town_F.C." ], [ "Oliver_Ryan", "playsFor", "Boston_United_F.C." ], [ "Oliver_Ryan", "playsFor", "Lincoln_City_F.C." ], [ "Patricia_McKissack", "hasGender", "female" ], [ "Patricia_McKissack", "playsFor", "Lincoln_City_F.C." ], [ "Paul_Groves_(footballer)", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Paul_Groves_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Paul_Groves_(footballer)", "playsFor", "Belper_Town_F.C." ], [ "Paul_Groves_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Paul_Mayo", "isAffiliatedTo", "Boston_United_F.C." ], [ "Paul_Mayo", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Paul_Mayo", "playsFor", "Boston_United_F.C." ], [ "Paul_Mayo", "playsFor", "Lincoln_City_F.C." ], [ "Paul_Pettinger", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Paul_Pettinger", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Paul_Pettinger", "playsFor", "Belper_Town_F.C." ], [ "Paul_Pettinger", "playsFor", "Lincoln_City_F.C." ], [ "Peter_Bore", "isAffiliatedTo", "Boston_United_F.C." ], [ "Peter_Bore", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Peter_Bore", "playsFor", "Boston_United_F.C." ], [ "Peter_Bore", "playsFor", "Lincoln_City_F.C." ], [ "Phil_Brown_(footballer,_born_1966)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Phil_Brown_(footballer,_born_1966)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Phil_Brown_(footballer,_born_1966)", "playsFor", "Boston_United_F.C." ], [ "Phil_Brown_(footballer,_born_1966)", "playsFor", "Lincoln_City_F.C." ], [ "Phil_Watt", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Phil_Watt", "isAffiliatedTo", "Boston_United_F.C." ], [ "Phil_Watt", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Phil_Watt", "playsFor", "Belper_Town_F.C." ], [ "Phil_Watt", "playsFor", "Boston_United_F.C." ], [ "Phil_Watt", "playsFor", "Lincoln_City_F.C." ], [ "Richard_Logan_(footballer_born_1969)", "isAffiliatedTo", "Belper_Town_F.C." ], [ "Richard_Logan_(footballer_born_1969)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Richard_Logan_(footballer_born_1969)", "playsFor", "Belper_Town_F.C." ], [ "Richard_Logan_(footballer_born_1969)", "playsFor", "Lincoln_City_F.C." ], [ "Richard_Logan_(footballer_born_1982)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Richard_Logan_(footballer_born_1982)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Richard_Logan_(footballer_born_1982)", "playsFor", "Boston_United_F.C." ], [ "Richard_Logan_(footballer_born_1982)", "playsFor", "Lincoln_City_F.C." ], [ "Ryan_Semple_(footballer_born_1985)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Ryan_Semple_(footballer_born_1985)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Ryan_Semple_(footballer_born_1985)", "playsFor", "Boston_United_F.C." ], [ "Ryan_Semple_(footballer_born_1985)", "playsFor", "Lincoln_City_F.C." ], [ "Scott_Garner", "playsFor", "Boston_United_F.C." ], [ "Scott_Garner", "playsFor", "Lincoln_City_F.C." ], [ "Shane_Clarke", "isAffiliatedTo", "Boston_United_F.C." ], [ "Shane_Clarke", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Shane_Clarke", "playsFor", "Boston_United_F.C." ], [ "Shane_Clarke", "playsFor", "Lincoln_City_F.C." ], [ "Shane_Nicholson", "isAffiliatedTo", "Boston_United_F.C." ], [ "Shane_Nicholson", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Shane_Nicholson", "playsFor", "Boston_United_F.C." ], [ "Shane_Nicholson", "playsFor", "Lincoln_City_F.C." ], [ "Simon_Weaver", "isAffiliatedTo", "Boston_United_F.C." ], [ "Simon_Weaver", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Simon_Weaver", "playsFor", "Boston_United_F.C." ], [ "Simon_Weaver", "playsFor", "Lincoln_City_F.C." ], [ "Spencer_Weir-Daley", "isAffiliatedTo", "Boston_United_F.C." ], [ "Spencer_Weir-Daley", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Spencer_Weir-Daley", "playsFor", "Boston_United_F.C." ], [ "Spencer_Weir-Daley", "playsFor", "Lincoln_City_F.C." ], [ "Steve_Buckley_(footballer)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Steve_Buckley_(footballer)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Steve_Buckley_(footballer)", "playsFor", "Boston_United_F.C." ], [ "Steve_Buckley_(footballer)", "playsFor", "Lincoln_City_F.C." ], [ "Steve_Stoutt", "isAffiliatedTo", "Boston_United_F.C." ], [ "Steve_Stoutt", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Steve_Stoutt", "playsFor", "Boston_United_F.C." ], [ "Steve_Stoutt", "playsFor", "Lincoln_City_F.C." ], [ "Steve_Thompson_(footballer,_born_1955)", "isAffiliatedTo", "Boston_United_F.C." ], [ "Steve_Thompson_(footballer,_born_1955)", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Steve_Thompson_(footballer,_born_1955)", "playsFor", "Boston_United_F.C." ], [ "Steve_Thompson_(footballer,_born_1955)", "playsFor", "Lincoln_City_F.C." ], [ "Steve_Welsh", "isAffiliatedTo", "Boston_United_F.C." ], [ "Steve_Welsh", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Steve_Welsh", "playsFor", "Lincoln_City_F.C." ], [ "Thomas_Cajetan", "playsFor", "Boston_United_F.C." ], [ "Thomas_Cajetan", "playsFor", "Lincoln_City_F.C." ], [ "Tony_Battersby", "isAffiliatedTo", "Boston_United_F.C." ], [ "Tony_Battersby", "isAffiliatedTo", "Lincoln_City_F.C." ], [ "Tony_Battersby", "playsFor", "Boston_United_F.C." ], [ "Tony_Battersby", "playsFor", "Lincoln_City_F.C." ], [ "Walter_Parry_Haskett_Smith", "playsFor", "Boston_United_F.C." ], [ "Walter_Parry_Haskett_Smith", "playsFor", "Lincoln_City_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 37271, Alexander_Suvorov 65223, Hildesheim 58421, Hildesheim_(district) 58079, Levin_August,_Count_von_Bennigsen 54370, Military_Order_of_Maria_Theresa src, edge_attr, dst 37271, hasWonPrize, 54370 58421, hasCapital, 65223 58421, isLocatedIn, 65223 58079, diedIn, 65223 58079, hasWonPrize, 54370 Question: How are Alexander_Suvorov and Hildesheim_(district) related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Alexander_Suvorov", "Hildesheim_(district)" ], "valid_edges": [ [ "Alexander_Suvorov", "hasWonPrize", "Military_Order_of_Maria_Theresa" ], [ "Hildesheim_(district)", "hasCapital", "Hildesheim" ], [ "Hildesheim_(district)", "isLocatedIn", "Hildesheim" ], [ "Levin_August,_Count_von_Bennigsen", "diedIn", "Hildesheim" ], [ "Levin_August,_Count_von_Bennigsen", "hasWonPrize", "Military_Order_of_Maria_Theresa" ] ], "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 37343, Andrés_Guglielminpietro 46070, Andy_Lochhead 68112, Antonio_Valentín_Angelillo 59443, Boca_Juniors 43079, Fredy_Guarín 9904, Gabriel_Batistuta 69090, Giampaolo_Pazzini 81081, Inter_Milan 15370, Joseph_Zen 73428, Juan_Sebastián_Verón 49576, Kily_González 17512, Leicester_City_F.C. 21115, Matías_Silvestre 23398, Nelson_Vivas 116971, Nicolás_Burdisso 112685, Nolberto_Solano 11080, Paulo_Sousa 96892, Roberto_Mancini 90140, Rodrigo_Palacio 8145, Sebastián_Rambert 84354, Victor_José_Pozzo 59632, Víctor_Benítez 35732, Walter_Samuel src, edge_attr, dst 37343, isAffiliatedTo, 59443 37343, isAffiliatedTo, 81081 37343, playsFor, 59443 37343, playsFor, 81081 46070, isAffiliatedTo, 17512 46070, playsFor, 17512 68112, isAffiliatedTo, 59443 68112, isAffiliatedTo, 81081 68112, playsFor, 59443 68112, playsFor, 81081 43079, isAffiliatedTo, 59443 43079, isAffiliatedTo, 81081 43079, playsFor, 59443 43079, playsFor, 81081 9904, isAffiliatedTo, 59443 9904, isAffiliatedTo, 81081 9904, playsFor, 59443 9904, playsFor, 81081 69090, isAffiliatedTo, 81081 69090, playsFor, 59443 69090, playsFor, 81081 15370, playsFor, 59443 15370, playsFor, 81081 73428, isAffiliatedTo, 81081 73428, playsFor, 59443 73428, playsFor, 81081 49576, isAffiliatedTo, 59443 49576, isAffiliatedTo, 81081 49576, playsFor, 59443 49576, playsFor, 81081 21115, isAffiliatedTo, 59443 21115, isAffiliatedTo, 81081 21115, playsFor, 59443 21115, playsFor, 81081 23398, isAffiliatedTo, 59443 23398, isAffiliatedTo, 81081 23398, playsFor, 59443 23398, playsFor, 81081 116971, isAffiliatedTo, 59443 116971, isAffiliatedTo, 81081 116971, playsFor, 59443 116971, playsFor, 81081 112685, isAffiliatedTo, 59443 112685, isAffiliatedTo, 17512 112685, playsFor, 59443 112685, playsFor, 17512 11080, isAffiliatedTo, 81081 11080, isAffiliatedTo, 17512 11080, playsFor, 81081 96892, isAffiliatedTo, 81081 96892, isAffiliatedTo, 17512 96892, playsFor, 17512 90140, isAffiliatedTo, 59443 90140, isAffiliatedTo, 81081 90140, playsFor, 59443 90140, playsFor, 81081 8145, isAffiliatedTo, 59443 8145, isAffiliatedTo, 81081 8145, playsFor, 59443 8145, playsFor, 81081 84354, playsFor, 59443 84354, playsFor, 81081 59632, isAffiliatedTo, 59443 59632, isAffiliatedTo, 81081 59632, playsFor, 59443 59632, playsFor, 81081 35732, isAffiliatedTo, 59443 35732, isAffiliatedTo, 81081 35732, playsFor, 59443 35732, playsFor, 81081 Question: In what context are Andy_Lochhead and Sebastián_Rambert connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Andy_Lochhead", "Sebastián_Rambert" ], "valid_edges": [ [ "Andrés_Guglielminpietro", "isAffiliatedTo", "Boca_Juniors" ], [ "Andrés_Guglielminpietro", "isAffiliatedTo", "Inter_Milan" ], [ "Andrés_Guglielminpietro", "playsFor", "Boca_Juniors" ], [ "Andrés_Guglielminpietro", "playsFor", "Inter_Milan" ], [ "Andy_Lochhead", "isAffiliatedTo", "Leicester_City_F.C." ], [ "Andy_Lochhead", "playsFor", "Leicester_City_F.C." ], [ "Antonio_Valentín_Angelillo", "isAffiliatedTo", "Boca_Juniors" ], [ "Antonio_Valentín_Angelillo", "isAffiliatedTo", "Inter_Milan" ], [ "Antonio_Valentín_Angelillo", "playsFor", "Boca_Juniors" ], [ "Antonio_Valentín_Angelillo", "playsFor", "Inter_Milan" ], [ "Fredy_Guarín", "isAffiliatedTo", "Boca_Juniors" ], [ "Fredy_Guarín", "isAffiliatedTo", "Inter_Milan" ], [ "Fredy_Guarín", "playsFor", "Boca_Juniors" ], [ "Fredy_Guarín", "playsFor", "Inter_Milan" ], [ "Gabriel_Batistuta", "isAffiliatedTo", "Boca_Juniors" ], [ "Gabriel_Batistuta", "isAffiliatedTo", "Inter_Milan" ], [ "Gabriel_Batistuta", "playsFor", "Boca_Juniors" ], [ "Gabriel_Batistuta", "playsFor", "Inter_Milan" ], [ "Giampaolo_Pazzini", "isAffiliatedTo", "Inter_Milan" ], [ "Giampaolo_Pazzini", "playsFor", "Boca_Juniors" ], [ "Giampaolo_Pazzini", "playsFor", "Inter_Milan" ], [ "Joseph_Zen", "playsFor", "Boca_Juniors" ], [ "Joseph_Zen", "playsFor", "Inter_Milan" ], [ "Juan_Sebastián_Verón", "isAffiliatedTo", "Inter_Milan" ], [ "Juan_Sebastián_Verón", "playsFor", "Boca_Juniors" ], [ "Juan_Sebastián_Verón", "playsFor", "Inter_Milan" ], [ "Kily_González", "isAffiliatedTo", "Boca_Juniors" ], [ "Kily_González", "isAffiliatedTo", "Inter_Milan" ], [ "Kily_González", "playsFor", "Boca_Juniors" ], [ "Kily_González", "playsFor", "Inter_Milan" ], [ "Matías_Silvestre", "isAffiliatedTo", "Boca_Juniors" ], [ "Matías_Silvestre", "isAffiliatedTo", "Inter_Milan" ], [ "Matías_Silvestre", "playsFor", "Boca_Juniors" ], [ "Matías_Silvestre", "playsFor", "Inter_Milan" ], [ "Nelson_Vivas", "isAffiliatedTo", "Boca_Juniors" ], [ "Nelson_Vivas", "isAffiliatedTo", "Inter_Milan" ], [ "Nelson_Vivas", "playsFor", "Boca_Juniors" ], [ "Nelson_Vivas", "playsFor", "Inter_Milan" ], [ "Nicolás_Burdisso", "isAffiliatedTo", "Boca_Juniors" ], [ "Nicolás_Burdisso", "isAffiliatedTo", "Inter_Milan" ], [ "Nicolás_Burdisso", "playsFor", "Boca_Juniors" ], [ "Nicolás_Burdisso", "playsFor", "Inter_Milan" ], [ "Nolberto_Solano", "isAffiliatedTo", "Boca_Juniors" ], [ "Nolberto_Solano", "isAffiliatedTo", "Leicester_City_F.C." ], [ "Nolberto_Solano", "playsFor", "Boca_Juniors" ], [ "Nolberto_Solano", "playsFor", "Leicester_City_F.C." ], [ "Paulo_Sousa", "isAffiliatedTo", "Inter_Milan" ], [ "Paulo_Sousa", "isAffiliatedTo", "Leicester_City_F.C." ], [ "Paulo_Sousa", "playsFor", "Inter_Milan" ], [ "Roberto_Mancini", "isAffiliatedTo", "Inter_Milan" ], [ "Roberto_Mancini", "isAffiliatedTo", "Leicester_City_F.C." ], [ "Roberto_Mancini", "playsFor", "Leicester_City_F.C." ], [ "Rodrigo_Palacio", "isAffiliatedTo", "Boca_Juniors" ], [ "Rodrigo_Palacio", "isAffiliatedTo", "Inter_Milan" ], [ "Rodrigo_Palacio", "playsFor", "Boca_Juniors" ], [ "Rodrigo_Palacio", "playsFor", "Inter_Milan" ], [ "Sebastián_Rambert", "isAffiliatedTo", "Boca_Juniors" ], [ "Sebastián_Rambert", "isAffiliatedTo", "Inter_Milan" ], [ "Sebastián_Rambert", "playsFor", "Boca_Juniors" ], [ "Sebastián_Rambert", "playsFor", "Inter_Milan" ], [ "Victor_José_Pozzo", "playsFor", "Boca_Juniors" ], [ "Victor_José_Pozzo", "playsFor", "Inter_Milan" ], [ "Víctor_Benítez", "isAffiliatedTo", "Boca_Juniors" ], [ "Víctor_Benítez", "isAffiliatedTo", "Inter_Milan" ], [ "Víctor_Benítez", "playsFor", "Boca_Juniors" ], [ "Víctor_Benítez", "playsFor", "Inter_Milan" ], [ "Walter_Samuel", "isAffiliatedTo", "Boca_Juniors" ], [ "Walter_Samuel", "isAffiliatedTo", "Inter_Milan" ], [ "Walter_Samuel", "playsFor", "Boca_Juniors" ], [ "Walter_Samuel", "playsFor", "Inter_Milan" ] ], "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 78394, Andrea_Cossu_(footballer_born_1980) 23996, Han_Dong-won 118104, male src, edge_attr, dst 78394, hasGender, 118104 23996, hasGender, 118104 Question: In what context are Andrea_Cossu_(footballer_born_1980) and Han_Dong-won connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Andrea_Cossu_(footballer_born_1980)", "Han_Dong-won" ], "valid_edges": [ [ "Andrea_Cossu_(footballer_born_1980)", "hasGender", "male" ], [ "Han_Dong-won", "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 41286, Carol_Burnett 120378, Cold_Turkey_(film) 40152, Dinah_Shore 18742, Jean_Stapleton 30655, Julia_Child 102578, Lauren_Ambrose 40491, Liz_Phair 93703, Margaret_Sullavan 59500, Maria_Shriver 18503, Marian_Koshland 30490, Martha_Coolidge 72317, Milla_Jovovich 35367, New_Haven,_Connecticut 75957, Norman_Lear 77500, Oprah_Winfrey 12547, Peabody_Award 110116, Sylvia_Fine 28769, Teresa_Wright 80384, female src, edge_attr, dst 41286, hasGender, 80384 41286, hasWonPrize, 12547 40152, hasGender, 80384 40152, hasWonPrize, 12547 18742, actedIn, 120378 18742, hasGender, 80384 30655, hasGender, 80384 30655, hasWonPrize, 12547 102578, hasGender, 80384 102578, wasBornIn, 35367 40491, hasGender, 80384 40491, wasBornIn, 35367 93703, diedIn, 35367 93703, hasGender, 80384 59500, hasGender, 80384 59500, hasWonPrize, 12547 18503, hasGender, 80384 18503, wasBornIn, 35367 30490, hasGender, 80384 30490, wasBornIn, 35367 72317, hasGender, 80384 75957, created, 120378 75957, directed, 120378 75957, hasWonPrize, 12547 75957, wasBornIn, 35367 77500, hasGender, 80384 77500, hasWonPrize, 12547 110116, hasGender, 80384 110116, hasWonPrize, 12547 28769, diedIn, 35367 28769, hasGender, 80384 Question: In what context are Milla_Jovovich and Norman_Lear connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Milla_Jovovich", "Norman_Lear" ], "valid_edges": [ [ "Carol_Burnett", "hasGender", "female" ], [ "Carol_Burnett", "hasWonPrize", "Peabody_Award" ], [ "Dinah_Shore", "hasGender", "female" ], [ "Dinah_Shore", "hasWonPrize", "Peabody_Award" ], [ "Jean_Stapleton", "actedIn", "Cold_Turkey_(film)" ], [ "Jean_Stapleton", "hasGender", "female" ], [ "Julia_Child", "hasGender", "female" ], [ "Julia_Child", "hasWonPrize", "Peabody_Award" ], [ "Lauren_Ambrose", "hasGender", "female" ], [ "Lauren_Ambrose", "wasBornIn", "New_Haven,_Connecticut" ], [ "Liz_Phair", "hasGender", "female" ], [ "Liz_Phair", "wasBornIn", "New_Haven,_Connecticut" ], [ "Margaret_Sullavan", "diedIn", "New_Haven,_Connecticut" ], [ "Margaret_Sullavan", "hasGender", "female" ], [ "Maria_Shriver", "hasGender", "female" ], [ "Maria_Shriver", "hasWonPrize", "Peabody_Award" ], [ "Marian_Koshland", "hasGender", "female" ], [ "Marian_Koshland", "wasBornIn", "New_Haven,_Connecticut" ], [ "Martha_Coolidge", "hasGender", "female" ], [ "Martha_Coolidge", "wasBornIn", "New_Haven,_Connecticut" ], [ "Milla_Jovovich", "hasGender", "female" ], [ "Norman_Lear", "created", "Cold_Turkey_(film)" ], [ "Norman_Lear", "directed", "Cold_Turkey_(film)" ], [ "Norman_Lear", "hasWonPrize", "Peabody_Award" ], [ "Norman_Lear", "wasBornIn", "New_Haven,_Connecticut" ], [ "Oprah_Winfrey", "hasGender", "female" ], [ "Oprah_Winfrey", "hasWonPrize", "Peabody_Award" ], [ "Sylvia_Fine", "hasGender", "female" ], [ "Sylvia_Fine", "hasWonPrize", "Peabody_Award" ], [ "Teresa_Wright", "diedIn", "New_Haven,_Connecticut" ], [ "Teresa_Wright", "hasGender", "female" ] ], "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 99146, Mauro_Matos 52739, Peter_Murphy_(footballer,_born_1980) 118104, male src, edge_attr, dst 99146, hasGender, 118104 52739, hasGender, 118104 Question: How are Mauro_Matos and Peter_Murphy_(footballer,_born_1980) related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Mauro_Matos", "Peter_Murphy_(footballer,_born_1980)" ], "valid_edges": [ [ "Mauro_Matos", "hasGender", "male" ], [ "Peter_Murphy_(footballer,_born_1980)", "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 62381, APOEL_FC 119750, Adalbert_Zafirov 7532, Anagennisi_Dherynia 38780, Anagennisi_Karditsa_F.C. 109505, Anorthosis_Famagusta_FC 9355, Brima_Koroma 31405, Bulgaria_national_football_team 33224, Christos_Kotsonis 74552, Costas_Elia 66868, Cyprus_national_football_team 20665, Doxa_Katokopias_F.C. 90124, Enosis_Neon_Paralimni_FC 90274, Ethnikos_Achna_FC 5005, Famagusta 40868, Georgios_Kolokoudias 29054, Georgios_Tofas 49041, Giorgos_Panagi 118149, Ivan_Jolić 106153, Kristiyan_Uzunov 62195, Lajos_Terjék 74385, Lloyd_Lislevand 30634, Michalis_Morfis 105990, Milan_Belić 4577, Nicosia 98888, Nikolay_Arabov 113958, OFI_Crete 40161, Panayiotis_Spyrou 14835, Raúl_González_Guzmán 89754, Robert_Alviž 63737, Spyros_Gogolos 34090, Steve_Olfers 60374, Wesllem 6572, Zdeněk_Ščasný 118104, male src, edge_attr, dst 119750, hasGender, 118104 119750, isAffiliatedTo, 7532 119750, isAffiliatedTo, 31405 119750, playsFor, 7532 119750, playsFor, 31405 9355, hasGender, 118104 9355, isAffiliatedTo, 7532 9355, playsFor, 7532 33224, hasGender, 118104 33224, isAffiliatedTo, 7532 33224, isAffiliatedTo, 109505 33224, isAffiliatedTo, 66868 33224, isAffiliatedTo, 90124 33224, isAffiliatedTo, 90274 33224, playsFor, 7532 33224, playsFor, 109505 33224, playsFor, 66868 33224, playsFor, 90124 33224, playsFor, 90274 33224, wasBornIn, 5005 74552, hasGender, 118104 74552, isAffiliatedTo, 7532 74552, isAffiliatedTo, 66868 74552, isAffiliatedTo, 90124 74552, playsFor, 7532 74552, playsFor, 66868 74552, playsFor, 90124 74552, wasBornIn, 5005 40868, hasGender, 118104 40868, isAffiliatedTo, 7532 40868, isAffiliatedTo, 90124 40868, playsFor, 7532 40868, playsFor, 90124 29054, hasGender, 118104 29054, isAffiliatedTo, 7532 29054, isAffiliatedTo, 38780 29054, isAffiliatedTo, 109505 29054, isAffiliatedTo, 90124 29054, playsFor, 7532 29054, playsFor, 38780 29054, playsFor, 109505 29054, playsFor, 90124 49041, hasGender, 118104 49041, isAffiliatedTo, 7532 49041, isAffiliatedTo, 109505 49041, isAffiliatedTo, 66868 49041, playsFor, 7532 49041, playsFor, 109505 49041, playsFor, 66868 118149, hasGender, 118104 118149, isAffiliatedTo, 7532 118149, playsFor, 7532 106153, hasGender, 118104 106153, isAffiliatedTo, 7532 106153, playsFor, 7532 62195, playsFor, 7532 62195, playsFor, 90124 74385, hasGender, 118104 74385, playsFor, 7532 74385, playsFor, 38780 74385, playsFor, 113958 30634, hasGender, 118104 30634, isAffiliatedTo, 62381 30634, isAffiliatedTo, 7532 30634, isAffiliatedTo, 66868 30634, isAffiliatedTo, 20665 30634, playsFor, 62381 30634, playsFor, 7532 30634, playsFor, 20665 30634, wasBornIn, 4577 105990, hasGender, 118104 105990, isAffiliatedTo, 7532 105990, isAffiliatedTo, 109505 105990, isAffiliatedTo, 90274 105990, playsFor, 7532 105990, playsFor, 109505 105990, playsFor, 90274 98888, hasGender, 118104 98888, isAffiliatedTo, 7532 98888, isAffiliatedTo, 31405 98888, playsFor, 7532 98888, playsFor, 31405 40161, hasGender, 118104 40161, isAffiliatedTo, 62381 40161, isAffiliatedTo, 7532 40161, isAffiliatedTo, 109505 40161, isAffiliatedTo, 66868 40161, isAffiliatedTo, 90124 40161, playsFor, 62381 40161, playsFor, 7532 40161, playsFor, 109505 40161, playsFor, 66868 40161, playsFor, 90124 40161, wasBornIn, 4577 14835, hasGender, 118104 14835, isAffiliatedTo, 7532 14835, isAffiliatedTo, 20665 14835, isAffiliatedTo, 90124 14835, playsFor, 7532 14835, playsFor, 20665 14835, playsFor, 90124 89754, hasGender, 118104 89754, isAffiliatedTo, 7532 89754, playsFor, 7532 63737, hasGender, 118104 63737, isAffiliatedTo, 7532 63737, playsFor, 7532 34090, hasGender, 118104 60374, hasGender, 118104 60374, playsFor, 7532 6572, hasGender, 118104 6572, isAffiliatedTo, 7532 6572, isAffiliatedTo, 113958 6572, playsFor, 7532 Question: For what reason are Anagennisi_Dherynia and Steve_Olfers associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Anagennisi_Dherynia", "Steve_Olfers" ], "valid_edges": [ [ "Adalbert_Zafirov", "hasGender", "male" ], [ "Adalbert_Zafirov", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Adalbert_Zafirov", "isAffiliatedTo", "Bulgaria_national_football_team" ], [ "Adalbert_Zafirov", "playsFor", "Anagennisi_Dherynia" ], [ "Adalbert_Zafirov", "playsFor", "Bulgaria_national_football_team" ], [ "Brima_Koroma", "hasGender", "male" ], [ "Brima_Koroma", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Brima_Koroma", "playsFor", "Anagennisi_Dherynia" ], [ "Christos_Kotsonis", "hasGender", "male" ], [ "Christos_Kotsonis", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Christos_Kotsonis", "isAffiliatedTo", "Anorthosis_Famagusta_FC" ], [ "Christos_Kotsonis", "isAffiliatedTo", "Cyprus_national_football_team" ], [ "Christos_Kotsonis", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Christos_Kotsonis", "isAffiliatedTo", "Ethnikos_Achna_FC" ], [ "Christos_Kotsonis", "playsFor", "Anagennisi_Dherynia" ], [ "Christos_Kotsonis", "playsFor", "Anorthosis_Famagusta_FC" ], [ "Christos_Kotsonis", "playsFor", "Cyprus_national_football_team" ], [ "Christos_Kotsonis", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Christos_Kotsonis", "playsFor", "Ethnikos_Achna_FC" ], [ "Christos_Kotsonis", "wasBornIn", "Famagusta" ], [ "Costas_Elia", "hasGender", "male" ], [ "Costas_Elia", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Costas_Elia", "isAffiliatedTo", "Cyprus_national_football_team" ], [ "Costas_Elia", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Costas_Elia", "playsFor", "Anagennisi_Dherynia" ], [ "Costas_Elia", "playsFor", "Cyprus_national_football_team" ], [ "Costas_Elia", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Costas_Elia", "wasBornIn", "Famagusta" ], [ "Georgios_Kolokoudias", "hasGender", "male" ], [ "Georgios_Kolokoudias", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Georgios_Kolokoudias", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Georgios_Kolokoudias", "playsFor", "Anagennisi_Dherynia" ], [ "Georgios_Kolokoudias", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Georgios_Tofas", "hasGender", "male" ], [ "Georgios_Tofas", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Georgios_Tofas", "isAffiliatedTo", "Anagennisi_Karditsa_F.C." ], [ "Georgios_Tofas", "isAffiliatedTo", "Anorthosis_Famagusta_FC" ], [ "Georgios_Tofas", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Georgios_Tofas", "playsFor", "Anagennisi_Dherynia" ], [ "Georgios_Tofas", "playsFor", "Anagennisi_Karditsa_F.C." ], [ "Georgios_Tofas", "playsFor", "Anorthosis_Famagusta_FC" ], [ "Georgios_Tofas", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Giorgos_Panagi", "hasGender", "male" ], [ "Giorgos_Panagi", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Giorgos_Panagi", "isAffiliatedTo", "Anorthosis_Famagusta_FC" ], [ "Giorgos_Panagi", "isAffiliatedTo", "Cyprus_national_football_team" ], [ "Giorgos_Panagi", "playsFor", "Anagennisi_Dherynia" ], [ "Giorgos_Panagi", "playsFor", "Anorthosis_Famagusta_FC" ], [ "Giorgos_Panagi", "playsFor", "Cyprus_national_football_team" ], [ "Ivan_Jolić", "hasGender", "male" ], [ "Ivan_Jolić", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Ivan_Jolić", "playsFor", "Anagennisi_Dherynia" ], [ "Kristiyan_Uzunov", "hasGender", "male" ], [ "Kristiyan_Uzunov", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Kristiyan_Uzunov", "playsFor", "Anagennisi_Dherynia" ], [ "Lajos_Terjék", "playsFor", "Anagennisi_Dherynia" ], [ "Lajos_Terjék", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Lloyd_Lislevand", "hasGender", "male" ], [ "Lloyd_Lislevand", "playsFor", "Anagennisi_Dherynia" ], [ "Lloyd_Lislevand", "playsFor", "Anagennisi_Karditsa_F.C." ], [ "Lloyd_Lislevand", "playsFor", "OFI_Crete" ], [ "Michalis_Morfis", "hasGender", "male" ], [ "Michalis_Morfis", "isAffiliatedTo", "APOEL_FC" ], [ "Michalis_Morfis", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Michalis_Morfis", "isAffiliatedTo", "Cyprus_national_football_team" ], [ "Michalis_Morfis", "isAffiliatedTo", "Doxa_Katokopias_F.C." ], [ "Michalis_Morfis", "playsFor", "APOEL_FC" ], [ "Michalis_Morfis", "playsFor", "Anagennisi_Dherynia" ], [ "Michalis_Morfis", "playsFor", "Doxa_Katokopias_F.C." ], [ "Michalis_Morfis", "wasBornIn", "Nicosia" ], [ "Milan_Belić", "hasGender", "male" ], [ "Milan_Belić", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Milan_Belić", "isAffiliatedTo", "Anorthosis_Famagusta_FC" ], [ "Milan_Belić", "isAffiliatedTo", "Ethnikos_Achna_FC" ], [ "Milan_Belić", "playsFor", "Anagennisi_Dherynia" ], [ "Milan_Belić", "playsFor", "Anorthosis_Famagusta_FC" ], [ "Milan_Belić", "playsFor", "Ethnikos_Achna_FC" ], [ "Nikolay_Arabov", "hasGender", "male" ], [ "Nikolay_Arabov", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Nikolay_Arabov", "isAffiliatedTo", "Bulgaria_national_football_team" ], [ "Nikolay_Arabov", "playsFor", "Anagennisi_Dherynia" ], [ "Nikolay_Arabov", "playsFor", "Bulgaria_national_football_team" ], [ "Panayiotis_Spyrou", "hasGender", "male" ], [ "Panayiotis_Spyrou", "isAffiliatedTo", "APOEL_FC" ], [ "Panayiotis_Spyrou", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Panayiotis_Spyrou", "isAffiliatedTo", "Anorthosis_Famagusta_FC" ], [ "Panayiotis_Spyrou", "isAffiliatedTo", "Cyprus_national_football_team" ], [ "Panayiotis_Spyrou", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Panayiotis_Spyrou", "playsFor", "APOEL_FC" ], [ "Panayiotis_Spyrou", "playsFor", "Anagennisi_Dherynia" ], [ "Panayiotis_Spyrou", "playsFor", "Anorthosis_Famagusta_FC" ], [ "Panayiotis_Spyrou", "playsFor", "Cyprus_national_football_team" ], [ "Panayiotis_Spyrou", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Panayiotis_Spyrou", "wasBornIn", "Nicosia" ], [ "Raúl_González_Guzmán", "hasGender", "male" ], [ "Raúl_González_Guzmán", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Raúl_González_Guzmán", "isAffiliatedTo", "Doxa_Katokopias_F.C." ], [ "Raúl_González_Guzmán", "isAffiliatedTo", "Enosis_Neon_Paralimni_FC" ], [ "Raúl_González_Guzmán", "playsFor", "Anagennisi_Dherynia" ], [ "Raúl_González_Guzmán", "playsFor", "Doxa_Katokopias_F.C." ], [ "Raúl_González_Guzmán", "playsFor", "Enosis_Neon_Paralimni_FC" ], [ "Robert_Alviž", "hasGender", "male" ], [ "Robert_Alviž", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Robert_Alviž", "playsFor", "Anagennisi_Dherynia" ], [ "Spyros_Gogolos", "hasGender", "male" ], [ "Spyros_Gogolos", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Spyros_Gogolos", "playsFor", "Anagennisi_Dherynia" ], [ "Steve_Olfers", "hasGender", "male" ], [ "Wesllem", "hasGender", "male" ], [ "Wesllem", "playsFor", "Anagennisi_Dherynia" ], [ "Zdeněk_Ščasný", "hasGender", "male" ], [ "Zdeněk_Ščasný", "isAffiliatedTo", "Anagennisi_Dherynia" ], [ "Zdeněk_Ščasný", "isAffiliatedTo", "OFI_Crete" ], [ "Zdeněk_Ščasný", "playsFor", "Anagennisi_Dherynia" ] ], "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 102048, A.S._Bari 95180, A.S._Noicattaro_Calcio 53238, Alessandro_Armenise 97071, Claudio_De_Pascalis 19399, Cosenza_Calcio 2247, Federico_Giampaolo 42059, Hernán_Bernardello 75329, Luigi_Rana 118104, male src, edge_attr, dst 53238, hasGender, 118104 53238, isAffiliatedTo, 102048 53238, isAffiliatedTo, 95180 53238, playsFor, 102048 53238, playsFor, 95180 97071, isAffiliatedTo, 102048 97071, isAffiliatedTo, 95180 97071, isAffiliatedTo, 19399 97071, playsFor, 102048 97071, playsFor, 95180 97071, playsFor, 19399 2247, hasGender, 118104 2247, isAffiliatedTo, 102048 2247, isAffiliatedTo, 95180 2247, isAffiliatedTo, 19399 2247, playsFor, 102048 2247, playsFor, 95180 2247, playsFor, 19399 42059, hasGender, 118104 75329, hasGender, 118104 75329, playsFor, 102048 75329, playsFor, 95180 Question: In what context are A.S._Noicattaro_Calcio and Hernán_Bernardello connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "A.S._Noicattaro_Calcio", "Hernán_Bernardello" ], "valid_edges": [ [ "Alessandro_Armenise", "hasGender", "male" ], [ "Alessandro_Armenise", "isAffiliatedTo", "A.S._Bari" ], [ "Alessandro_Armenise", "isAffiliatedTo", "A.S._Noicattaro_Calcio" ], [ "Alessandro_Armenise", "playsFor", "A.S._Bari" ], [ "Alessandro_Armenise", "playsFor", "A.S._Noicattaro_Calcio" ], [ "Claudio_De_Pascalis", "isAffiliatedTo", "A.S._Bari" ], [ "Claudio_De_Pascalis", "isAffiliatedTo", "A.S._Noicattaro_Calcio" ], [ "Claudio_De_Pascalis", "isAffiliatedTo", "Cosenza_Calcio" ], [ "Claudio_De_Pascalis", "playsFor", "A.S._Bari" ], [ "Claudio_De_Pascalis", "playsFor", "A.S._Noicattaro_Calcio" ], [ "Claudio_De_Pascalis", "playsFor", "Cosenza_Calcio" ], [ "Federico_Giampaolo", "hasGender", "male" ], [ "Federico_Giampaolo", "isAffiliatedTo", "A.S._Bari" ], [ "Federico_Giampaolo", "isAffiliatedTo", "A.S._Noicattaro_Calcio" ], [ "Federico_Giampaolo", "isAffiliatedTo", "Cosenza_Calcio" ], [ "Federico_Giampaolo", "playsFor", "A.S._Bari" ], [ "Federico_Giampaolo", "playsFor", "A.S._Noicattaro_Calcio" ], [ "Federico_Giampaolo", "playsFor", "Cosenza_Calcio" ], [ "Hernán_Bernardello", "hasGender", "male" ], [ "Luigi_Rana", "hasGender", "male" ], [ "Luigi_Rana", "playsFor", "A.S._Bari" ], [ "Luigi_Rana", "playsFor", "A.S._Noicattaro_Calcio" ] ], "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 106181, Hoquiam,_Washington 15111, Redd_Foxx 29157, United_States src, edge_attr, dst 106181, isLocatedIn, 29157 15111, isCitizenOf, 29157 Question: In what context are Hoquiam,_Washington and Redd_Foxx connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Hoquiam,_Washington", "Redd_Foxx" ], "valid_edges": [ [ "Hoquiam,_Washington", "isLocatedIn", "United_States" ], [ "Redd_Foxx", "isCitizenOf", "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 62344, Abergavenny 92118, Austin,_Texas 12098, Business_routes_of_Interstate_35 116981, Cedar_Park,_Texas 37819, Georgetown,_Texas 27759, Pflugerville,_Texas 102139, Round_Rock,_Texas 96204, Taylor,_Texas 73493, Texas 115605, Travis_County,_Texas 29157, United_States 74612, Wales 3026, Williamson_County,_Texas src, edge_attr, dst 62344, isLocatedIn, 74612 92118, isLocatedIn, 73493 92118, isLocatedIn, 115605 92118, isLocatedIn, 29157 92118, isLocatedIn, 3026 12098, isLocatedIn, 37819 12098, isLocatedIn, 102139 116981, isLocatedIn, 73493 116981, isLocatedIn, 115605 116981, isLocatedIn, 29157 116981, isLocatedIn, 3026 37819, isLocatedIn, 73493 37819, isLocatedIn, 29157 37819, isLocatedIn, 3026 27759, isLocatedIn, 73493 27759, isLocatedIn, 115605 27759, isLocatedIn, 29157 27759, isLocatedIn, 3026 102139, isLocatedIn, 73493 102139, isLocatedIn, 115605 102139, isLocatedIn, 29157 102139, isLocatedIn, 3026 96204, isLocatedIn, 73493 96204, isLocatedIn, 29157 96204, isLocatedIn, 3026 73493, hasCapital, 92118 115605, isLocatedIn, 92118 74612, dealsWith, 29157 3026, isLocatedIn, 37819 Question: In what context are Abergavenny and Williamson_County,_Texas connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Abergavenny", "Williamson_County,_Texas" ], "valid_edges": [ [ "Abergavenny", "isLocatedIn", "Wales" ], [ "Austin,_Texas", "isLocatedIn", "Texas" ], [ "Austin,_Texas", "isLocatedIn", "Travis_County,_Texas" ], [ "Austin,_Texas", "isLocatedIn", "United_States" ], [ "Austin,_Texas", "isLocatedIn", "Williamson_County,_Texas" ], [ "Business_routes_of_Interstate_35", "isLocatedIn", "Georgetown,_Texas" ], [ "Business_routes_of_Interstate_35", "isLocatedIn", "Round_Rock,_Texas" ], [ "Cedar_Park,_Texas", "isLocatedIn", "Texas" ], [ "Cedar_Park,_Texas", "isLocatedIn", "Travis_County,_Texas" ], [ "Cedar_Park,_Texas", "isLocatedIn", "United_States" ], [ "Cedar_Park,_Texas", "isLocatedIn", "Williamson_County,_Texas" ], [ "Georgetown,_Texas", "isLocatedIn", "Texas" ], [ "Georgetown,_Texas", "isLocatedIn", "United_States" ], [ "Georgetown,_Texas", "isLocatedIn", "Williamson_County,_Texas" ], [ "Pflugerville,_Texas", "isLocatedIn", "Texas" ], [ "Pflugerville,_Texas", "isLocatedIn", "Travis_County,_Texas" ], [ "Pflugerville,_Texas", "isLocatedIn", "United_States" ], [ "Pflugerville,_Texas", "isLocatedIn", "Williamson_County,_Texas" ], [ "Round_Rock,_Texas", "isLocatedIn", "Texas" ], [ "Round_Rock,_Texas", "isLocatedIn", "Travis_County,_Texas" ], [ "Round_Rock,_Texas", "isLocatedIn", "United_States" ], [ "Round_Rock,_Texas", "isLocatedIn", "Williamson_County,_Texas" ], [ "Taylor,_Texas", "isLocatedIn", "Texas" ], [ "Taylor,_Texas", "isLocatedIn", "United_States" ], [ "Taylor,_Texas", "isLocatedIn", "Williamson_County,_Texas" ], [ "Texas", "hasCapital", "Austin,_Texas" ], [ "Travis_County,_Texas", "isLocatedIn", "Austin,_Texas" ], [ "Wales", "dealsWith", "United_States" ], [ "Williamson_County,_Texas", "isLocatedIn", "Georgetown,_Texas" ] ], "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 61006, Del_Monte_Foods 67786, Gabriel_Gervais 15185, Henry_Kravis 113633, Kohlberg_Kravis_Roberts 101860, SunGard 57891, Syracuse_University 29157, United_States src, edge_attr, dst 61006, isLocatedIn, 29157 67786, isAffiliatedTo, 57891 15185, created, 113633 15185, isCitizenOf, 29157 113633, owns, 61006 113633, owns, 101860 101860, isLocatedIn, 29157 57891, isLocatedIn, 29157 Question: In what context are Gabriel_Gervais and Kohlberg_Kravis_Roberts connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Gabriel_Gervais", "Kohlberg_Kravis_Roberts" ], "valid_edges": [ [ "Del_Monte_Foods", "isLocatedIn", "United_States" ], [ "Gabriel_Gervais", "isAffiliatedTo", "Syracuse_University" ], [ "Henry_Kravis", "created", "Kohlberg_Kravis_Roberts" ], [ "Henry_Kravis", "isCitizenOf", "United_States" ], [ "Kohlberg_Kravis_Roberts", "owns", "Del_Monte_Foods" ], [ "Kohlberg_Kravis_Roberts", "owns", "SunGard" ], [ "SunGard", "isLocatedIn", "United_States" ], [ "Syracuse_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 61088, A_Mighty_Heart_(film) 121803, Abdus_Salam 82383, Afghanistan 19555, Albert_Abraham_Michelson 28592, Albert_Einstein 96701, Amitav_Ghosh 33596, Angola 56948, Anthony_James_Leggett 13522, Arthur_Compton 22296, Arthur_Leonard_Schawlow 95802, Australia 18438, Azerbaijan 61394, Bahrain 111723, Bangladesh 47538, Ben_Roy_Mottelson 32302, Benin 76228, Boxer_Rebellion 86106, Brian_Schmidt 17857, Burma_Campaign_1944 71269, Burundi 38720, C._R._Rao 6028, C._V._Raman 60046, Cameroon 82684, Carl_David_Anderson 60113, Carl_Wieman 2496, Charles_Hard_Townes 3799, Charles_K._Kao 32958, Chen-Ning_Yang 45863, China 86316, Civil_war_in_Afghanistan_(1996–2001) 114997, Clinton_Davisson 107583, Congo_Crisis 46695, Daniel_C._Tsui 36869, David_Gross 89555, David_J._Wineland 304, Douglas_Osheroff 52527, E._C._George_Sudarshan 32708, Edward_Mills_Purcell 47476, Egypt 12199, Eric_Allin_Cornell 22794, Ethiopia 41369, Eugene_Wigner 19258, Frank_Wilczek 13736, Gabon 98577, Guinea-Bissau 87827, Hans_Bethe 122788, Hans_Georg_Dehmelt 91710, Har_Gobind_Khorana 104390, Herbert_Kroemer 110655, Hong_Kong 89823, India 86790, Indian_Ocean_raid 33806, Indonesia 48811, Iraq 15507, Isidor_Isaac_Rabi 46079, Jack_Kilby 53890, Jacobite_Syrian_Christian_Church 67492, John_Bardeen 50456, John_Hasbrouck_Van_Vleck 88305, John_Robert_Schrieffer 2104, Jordan 94373, Joseph_Hooton_Taylor,_Jr. 55901, Julian_Schwinger 7173, Kenneth_G._Wilson 57645, Korean_War 98240, Kuwait 34470, Leon_M._Lederman 116954, Madagascar 99532, Madhu_Sudan 79493, Malaysia 85530, Maldives 32379, Malik_Allen 119735, Martin_Lewis_Perl 61351, Mauritius 27634, Michael_J._S._Dewar 99556, Morocco 123064, Mozambique 11123, Murray_Gell-Mann 47619, My_Name_Is_Khan 56910, Nepal 105663, Nicolaas_Bloembergen 34763, Nigeria 114714, Nobel_Prize_in_Physics 62097, Norman_Foster_Ramsey,_Jr. 112418, Oman 122711, Operation_Enduring_Freedom 59704, Operation_Enduring_Freedom_–_Horn_of_Africa 96607, Otto_Stern 85860, Pakistan 61137, Paul_Dirac 60675, People's_General 78088, Percy_Williams_Bridgman 38902, Philip_Warren_Anderson 13141, Pirzada 71114, Qatar 1730, Raymond_Davis,_Jr. 101967, Republic_of_the_Congo 57854, Riccardo_Giacconi 113377, Richard_Feynman 14581, Roadside_Romeo 29591, Robert_Andrews_Millikan 35415, Robert_B._Laughlin 62880, Robert_Coleman_Richardson 37089, Robert_Hofstadter 73020, Rwanda 31559, S._R._Srinivasa_Varadhan 104670, Saudi_Arabia 104936, Second_Anglo-Mysore_War 60865, Second_Boer_War 103898, Sendhil_Mullainathan 21278, Sierra_Leone 92210, Sierra_Leone_Civil_War 29594, Singapore 2304, South-East_Asian_theatre_of_World_War_II 69057, South_Africa 75821, Soviet_war_in_Afghanistan 7067, Sri_Lanka 103323, Steven_Weinberg 73433, Subrahmanyan_Chandrasekhar 6827, Sweden 69478, Switzerland 90414, The_Bahamas 7176, The_Happening_(2008_film) 88438, Umesh_Vazirani 37166, Unified_Task_Force 76200, United_Arab_Emirates 29157, United_States 78704, United_World_Colleges 11684, Venezuela 95221, Victor_Francis_Hess 75056, War_on_Terror 97139, Willard_Boyle 30945, William_Shockley 26765, Willis_Lamb 116107, Yoichiro_Nambu src, edge_attr, dst 61088, isLocatedIn, 89823 61088, isLocatedIn, 29157 121803, hasWonPrize, 114714 121803, isCitizenOf, 89823 82383, dealsWith, 89823 82383, dealsWith, 29157 19555, hasWonPrize, 114714 19555, isCitizenOf, 29157 28592, hasWonPrize, 114714 28592, isCitizenOf, 29157 96701, isCitizenOf, 89823 96701, isCitizenOf, 29157 33596, dealsWith, 89823 33596, dealsWith, 29157 56948, hasWonPrize, 114714 56948, livesIn, 29157 13522, hasWonPrize, 114714 13522, isCitizenOf, 29157 22296, hasWonPrize, 114714 22296, isCitizenOf, 29157 95802, dealsWith, 89823 95802, dealsWith, 29157 18438, dealsWith, 89823 18438, dealsWith, 29157 61394, dealsWith, 89823 61394, dealsWith, 29157 111723, dealsWith, 89823 111723, dealsWith, 29157 111723, hasNeighbor, 89823 47538, hasWonPrize, 114714 47538, isCitizenOf, 29157 32302, dealsWith, 89823 32302, dealsWith, 29157 76228, isLocatedIn, 89823 86106, hasWonPrize, 114714 86106, isCitizenOf, 29157 17857, happenedIn, 89823 71269, dealsWith, 89823 71269, dealsWith, 29157 38720, isCitizenOf, 29157 38720, livesIn, 89823 38720, livesIn, 29157 6028, hasWonPrize, 114714 6028, isCitizenOf, 89823 60046, dealsWith, 89823 60046, dealsWith, 29157 82684, hasWonPrize, 114714 82684, isCitizenOf, 29157 60113, hasWonPrize, 114714 60113, isCitizenOf, 29157 2496, hasWonPrize, 114714 2496, livesIn, 29157 3799, hasWonPrize, 114714 3799, isCitizenOf, 29157 3799, livesIn, 29157 32958, hasWonPrize, 114714 32958, isCitizenOf, 29157 45863, dealsWith, 29157 45863, hasNeighbor, 89823 114997, hasWonPrize, 114714 114997, isCitizenOf, 29157 46695, hasWonPrize, 114714 46695, isCitizenOf, 29157 46695, livesIn, 29157 36869, hasWonPrize, 114714 36869, livesIn, 29157 89555, hasWonPrize, 114714 89555, isCitizenOf, 29157 304, hasWonPrize, 114714 304, isCitizenOf, 29157 52527, isCitizenOf, 89823 52527, livesIn, 29157 32708, hasWonPrize, 114714 32708, isCitizenOf, 29157 47476, dealsWith, 89823 47476, dealsWith, 29157 12199, hasWonPrize, 114714 12199, isCitizenOf, 29157 12199, livesIn, 29157 22794, dealsWith, 89823 22794, dealsWith, 29157 41369, hasWonPrize, 114714 41369, isCitizenOf, 29157 41369, livesIn, 29157 19258, hasWonPrize, 114714 19258, isCitizenOf, 29157 13736, dealsWith, 89823 13736, dealsWith, 29157 98577, dealsWith, 89823 98577, dealsWith, 29157 87827, hasWonPrize, 114714 87827, livesIn, 29157 122788, hasWonPrize, 114714 122788, livesIn, 29157 91710, isCitizenOf, 29157 91710, livesIn, 89823 91710, livesIn, 29157 104390, hasWonPrize, 114714 104390, isCitizenOf, 29157 104390, livesIn, 29157 110655, dealsWith, 29157 89823, dealsWith, 45863 89823, dealsWith, 110655 89823, dealsWith, 104670 89823, dealsWith, 29594 89823, dealsWith, 69478 89823, dealsWith, 76200 89823, dealsWith, 29157 89823, hasNeighbor, 111723 89823, hasNeighbor, 45863 89823, hasNeighbor, 56910 89823, hasNeighbor, 85860 89823, participatedIn, 86316 89823, participatedIn, 107583 89823, participatedIn, 57645 89823, participatedIn, 122711 89823, participatedIn, 59704 89823, participatedIn, 60675 89823, participatedIn, 92210 89823, participatedIn, 37166 89823, participatedIn, 75056 86790, isLocatedIn, 89823 33806, dealsWith, 89823 33806, dealsWith, 29157 48811, dealsWith, 89823 48811, dealsWith, 29157 15507, hasWonPrize, 114714 15507, isCitizenOf, 29157 46079, hasWonPrize, 114714 46079, isCitizenOf, 29157 53890, isLocatedIn, 89823 53890, isLocatedIn, 29157 67492, hasWonPrize, 114714 67492, isCitizenOf, 29157 67492, livesIn, 29157 50456, hasWonPrize, 114714 50456, isCitizenOf, 29157 88305, hasWonPrize, 114714 88305, isCitizenOf, 29157 2104, dealsWith, 89823 2104, dealsWith, 29157 94373, hasWonPrize, 114714 94373, isCitizenOf, 29157 55901, hasWonPrize, 114714 55901, isCitizenOf, 29157 7173, hasWonPrize, 114714 7173, isCitizenOf, 29157 98240, dealsWith, 89823 98240, dealsWith, 29157 34470, hasWonPrize, 114714 34470, isCitizenOf, 29157 34470, livesIn, 29157 116954, dealsWith, 89823 116954, dealsWith, 29157 99532, isCitizenOf, 89823 99532, livesIn, 29157 79493, dealsWith, 89823 79493, dealsWith, 29157 85530, dealsWith, 89823 85530, dealsWith, 29157 32379, isCitizenOf, 29157 119735, hasWonPrize, 114714 119735, isCitizenOf, 29157 61351, dealsWith, 89823 61351, dealsWith, 29157 27634, isCitizenOf, 89823 27634, isCitizenOf, 29157 99556, dealsWith, 89823 99556, dealsWith, 29157 123064, dealsWith, 89823 123064, dealsWith, 29157 11123, hasWonPrize, 114714 11123, isCitizenOf, 29157 11123, livesIn, 29157 47619, isLocatedIn, 89823 47619, isLocatedIn, 29157 56910, dealsWith, 89823 56910, dealsWith, 29157 56910, hasNeighbor, 89823 105663, hasWonPrize, 114714 105663, isCitizenOf, 29157 105663, livesIn, 29157 34763, dealsWith, 89823 34763, dealsWith, 29157 114714, isLocatedIn, 6827 62097, hasWonPrize, 114714 62097, isCitizenOf, 29157 62097, livesIn, 29157 112418, dealsWith, 89823 112418, dealsWith, 29157 96607, hasWonPrize, 114714 96607, isCitizenOf, 29157 85860, dealsWith, 29157 85860, hasNeighbor, 89823 61137, hasWonPrize, 114714 61137, isCitizenOf, 29157 78088, hasWonPrize, 114714 78088, isCitizenOf, 29157 38902, hasWonPrize, 114714 38902, isCitizenOf, 29157 13141, isLocatedIn, 89823 13141, isLocatedIn, 29157 71114, dealsWith, 89823 71114, dealsWith, 29157 1730, hasWonPrize, 114714 1730, isCitizenOf, 29157 101967, dealsWith, 89823 101967, dealsWith, 29157 57854, hasWonPrize, 114714 57854, isCitizenOf, 29157 57854, livesIn, 29157 113377, hasWonPrize, 114714 113377, isCitizenOf, 29157 113377, livesIn, 29157 14581, isLocatedIn, 89823 14581, isLocatedIn, 29157 29591, hasWonPrize, 114714 29591, isCitizenOf, 29157 35415, hasWonPrize, 114714 35415, isCitizenOf, 29157 62880, hasWonPrize, 114714 62880, isCitizenOf, 29157 62880, livesIn, 29157 37089, hasWonPrize, 114714 37089, isCitizenOf, 29157 73020, dealsWith, 89823 73020, dealsWith, 29157 31559, isCitizenOf, 89823 31559, isCitizenOf, 29157 31559, livesIn, 29157 104670, dealsWith, 89823 104670, dealsWith, 29157 104936, happenedIn, 89823 60865, isLocatedIn, 89823 103898, isCitizenOf, 89823 103898, isCitizenOf, 29157 103898, livesIn, 29157 21278, dealsWith, 89823 21278, dealsWith, 29157 29594, dealsWith, 29157 2304, happenedIn, 89823 69057, dealsWith, 89823 69057, dealsWith, 29157 75821, happenedIn, 89823 7067, dealsWith, 89823 7067, dealsWith, 29157 103323, hasWonPrize, 114714 103323, isCitizenOf, 29157 103323, livesIn, 29157 73433, hasWonPrize, 114714 73433, isCitizenOf, 29157 73433, livesIn, 29157 6827, dealsWith, 29157 69478, dealsWith, 29157 90414, dealsWith, 89823 90414, dealsWith, 29157 7176, isLocatedIn, 89823 7176, isLocatedIn, 29157 88438, isCitizenOf, 89823 88438, livesIn, 29157 76200, dealsWith, 89823 76200, dealsWith, 29157 29157, dealsWith, 45863 29157, participatedIn, 76228 29157, participatedIn, 17857 29157, participatedIn, 86316 29157, participatedIn, 107583 29157, participatedIn, 86790 29157, participatedIn, 57645 29157, participatedIn, 122711 29157, participatedIn, 59704 29157, participatedIn, 60675 29157, participatedIn, 104936 29157, participatedIn, 60865 29157, participatedIn, 92210 29157, participatedIn, 2304 29157, participatedIn, 75821 29157, participatedIn, 37166 29157, participatedIn, 75056 78704, isLocatedIn, 89823 78704, isLocatedIn, 29157 11684, dealsWith, 89823 11684, dealsWith, 29157 95221, hasWonPrize, 114714 95221, isCitizenOf, 29157 97139, hasWonPrize, 114714 97139, isCitizenOf, 29157 30945, hasWonPrize, 114714 30945, isCitizenOf, 29157 26765, hasWonPrize, 114714 26765, isCitizenOf, 29157 116107, hasWonPrize, 114714 116107, isCitizenOf, 29157 Question: How are C._V._Raman and Malik_Allen related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "C._V._Raman", "Malik_Allen" ], "valid_edges": [ [ "A_Mighty_Heart_(film)", "isLocatedIn", "India" ], [ "A_Mighty_Heart_(film)", "isLocatedIn", "United_States" ], [ "Abdus_Salam", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Abdus_Salam", "isCitizenOf", "India" ], [ "Afghanistan", "dealsWith", "India" ], [ "Afghanistan", "dealsWith", "United_States" ], [ "Albert_Abraham_Michelson", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Albert_Abraham_Michelson", "isCitizenOf", "United_States" ], [ "Albert_Einstein", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Albert_Einstein", "isCitizenOf", "United_States" ], [ "Amitav_Ghosh", "isCitizenOf", "India" ], [ "Amitav_Ghosh", "isCitizenOf", "United_States" ], [ "Angola", "dealsWith", "India" ], [ "Angola", "dealsWith", "United_States" ], [ "Anthony_James_Leggett", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Anthony_James_Leggett", "livesIn", "United_States" ], [ "Arthur_Compton", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Arthur_Compton", "isCitizenOf", "United_States" ], [ "Arthur_Leonard_Schawlow", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Arthur_Leonard_Schawlow", "isCitizenOf", "United_States" ], [ "Australia", "dealsWith", "India" ], [ "Australia", "dealsWith", "United_States" ], [ "Azerbaijan", "dealsWith", "India" ], [ "Azerbaijan", "dealsWith", "United_States" ], [ "Bahrain", "dealsWith", "India" ], [ "Bahrain", "dealsWith", "United_States" ], [ "Bangladesh", "dealsWith", "India" ], [ "Bangladesh", "dealsWith", "United_States" ], [ "Bangladesh", "hasNeighbor", "India" ], [ "Ben_Roy_Mottelson", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Ben_Roy_Mottelson", "isCitizenOf", "United_States" ], [ "Benin", "dealsWith", "India" ], [ "Benin", "dealsWith", "United_States" ], [ "Boxer_Rebellion", "isLocatedIn", "India" ], [ "Brian_Schmidt", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Brian_Schmidt", "isCitizenOf", "United_States" ], [ "Burma_Campaign_1944", "happenedIn", "India" ], [ "Burundi", "dealsWith", "India" ], [ "Burundi", "dealsWith", "United_States" ], [ "C._R._Rao", "isCitizenOf", "United_States" ], [ "C._R._Rao", "livesIn", "India" ], [ "C._R._Rao", "livesIn", "United_States" ], [ "C._V._Raman", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "C._V._Raman", "isCitizenOf", "India" ], [ "Cameroon", "dealsWith", "India" ], [ "Cameroon", "dealsWith", "United_States" ], [ "Carl_David_Anderson", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Carl_David_Anderson", "isCitizenOf", "United_States" ], [ "Carl_Wieman", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Carl_Wieman", "isCitizenOf", "United_States" ], [ "Charles_Hard_Townes", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Charles_Hard_Townes", "livesIn", "United_States" ], [ "Charles_K._Kao", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Charles_K._Kao", "isCitizenOf", "United_States" ], [ "Charles_K._Kao", "livesIn", "United_States" ], [ "Chen-Ning_Yang", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Chen-Ning_Yang", "isCitizenOf", "United_States" ], [ "China", "dealsWith", "United_States" ], [ "China", "hasNeighbor", "India" ], [ "Clinton_Davisson", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Clinton_Davisson", "isCitizenOf", "United_States" ], [ "Daniel_C._Tsui", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Daniel_C._Tsui", "isCitizenOf", "United_States" ], [ "Daniel_C._Tsui", "livesIn", "United_States" ], [ "David_Gross", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "David_Gross", "livesIn", "United_States" ], [ "David_J._Wineland", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "David_J._Wineland", "isCitizenOf", "United_States" ], [ "Douglas_Osheroff", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Douglas_Osheroff", "isCitizenOf", "United_States" ], [ "E._C._George_Sudarshan", "isCitizenOf", "India" ], [ "E._C._George_Sudarshan", "livesIn", "United_States" ], [ "Edward_Mills_Purcell", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Edward_Mills_Purcell", "isCitizenOf", "United_States" ], [ "Egypt", "dealsWith", "India" ], [ "Egypt", "dealsWith", "United_States" ], [ "Eric_Allin_Cornell", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Eric_Allin_Cornell", "isCitizenOf", "United_States" ], [ "Eric_Allin_Cornell", "livesIn", "United_States" ], [ "Ethiopia", "dealsWith", "India" ], [ "Ethiopia", "dealsWith", "United_States" ], [ "Eugene_Wigner", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Eugene_Wigner", "isCitizenOf", "United_States" ], [ "Eugene_Wigner", "livesIn", "United_States" ], [ "Frank_Wilczek", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Frank_Wilczek", "isCitizenOf", "United_States" ], [ "Gabon", "dealsWith", "India" ], [ "Gabon", "dealsWith", "United_States" ], [ "Guinea-Bissau", "dealsWith", "India" ], [ "Guinea-Bissau", "dealsWith", "United_States" ], [ "Hans_Bethe", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Hans_Bethe", "livesIn", "United_States" ], [ "Hans_Georg_Dehmelt", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Hans_Georg_Dehmelt", "livesIn", "United_States" ], [ "Har_Gobind_Khorana", "isCitizenOf", "United_States" ], [ "Har_Gobind_Khorana", "livesIn", "India" ], [ "Har_Gobind_Khorana", "livesIn", "United_States" ], [ "Herbert_Kroemer", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Herbert_Kroemer", "isCitizenOf", "United_States" ], [ "Herbert_Kroemer", "livesIn", "United_States" ], [ "Hong_Kong", "dealsWith", "United_States" ], [ "India", "dealsWith", "China" ], [ "India", "dealsWith", "Hong_Kong" ], [ "India", "dealsWith", "Saudi_Arabia" ], [ "India", "dealsWith", "Singapore" ], [ "India", "dealsWith", "Switzerland" ], [ "India", "dealsWith", "United_Arab_Emirates" ], [ "India", "dealsWith", "United_States" ], [ "India", "hasNeighbor", "Bangladesh" ], [ "India", "hasNeighbor", "China" ], [ "India", "hasNeighbor", "Nepal" ], [ "India", "hasNeighbor", "Pakistan" ], [ "India", "participatedIn", "Civil_war_in_Afghanistan_(1996–2001)" ], [ "India", "participatedIn", "Congo_Crisis" ], [ "India", "participatedIn", "Korean_War" ], [ "India", "participatedIn", "Operation_Enduring_Freedom" ], [ "India", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "India", "participatedIn", "People's_General" ], [ "India", "participatedIn", "Sierra_Leone_Civil_War" ], [ "India", "participatedIn", "Unified_Task_Force" ], [ "India", "participatedIn", "War_on_Terror" ], [ "Indian_Ocean_raid", "isLocatedIn", "India" ], [ "Indonesia", "dealsWith", "India" ], [ "Indonesia", "dealsWith", "United_States" ], [ "Iraq", "dealsWith", "India" ], [ "Iraq", "dealsWith", "United_States" ], [ "Isidor_Isaac_Rabi", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Isidor_Isaac_Rabi", "isCitizenOf", "United_States" ], [ "Jack_Kilby", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Jack_Kilby", "isCitizenOf", "United_States" ], [ "Jacobite_Syrian_Christian_Church", "isLocatedIn", "India" ], [ "Jacobite_Syrian_Christian_Church", "isLocatedIn", "United_States" ], [ "John_Bardeen", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "John_Bardeen", "isCitizenOf", "United_States" ], [ "John_Bardeen", "livesIn", "United_States" ], [ "John_Hasbrouck_Van_Vleck", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "John_Hasbrouck_Van_Vleck", "isCitizenOf", "United_States" ], [ "John_Robert_Schrieffer", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "John_Robert_Schrieffer", "isCitizenOf", "United_States" ], [ "Jordan", "dealsWith", "India" ], [ "Jordan", "dealsWith", "United_States" ], [ "Joseph_Hooton_Taylor,_Jr.", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Joseph_Hooton_Taylor,_Jr.", "isCitizenOf", "United_States" ], [ "Julian_Schwinger", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Julian_Schwinger", "isCitizenOf", "United_States" ], [ "Kenneth_G._Wilson", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Kenneth_G._Wilson", "isCitizenOf", "United_States" ], [ "Kuwait", "dealsWith", "India" ], [ "Kuwait", "dealsWith", "United_States" ], [ "Leon_M._Lederman", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Leon_M._Lederman", "isCitizenOf", "United_States" ], [ "Leon_M._Lederman", "livesIn", "United_States" ], [ "Madagascar", "dealsWith", "India" ], [ "Madagascar", "dealsWith", "United_States" ], [ "Madhu_Sudan", "isCitizenOf", "India" ], [ "Madhu_Sudan", "livesIn", "United_States" ], [ "Malaysia", "dealsWith", "India" ], [ "Malaysia", "dealsWith", "United_States" ], [ "Maldives", "dealsWith", "India" ], [ "Maldives", "dealsWith", "United_States" ], [ "Malik_Allen", "isCitizenOf", "United_States" ], [ "Martin_Lewis_Perl", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Martin_Lewis_Perl", "isCitizenOf", "United_States" ], [ "Mauritius", "dealsWith", "India" ], [ "Mauritius", "dealsWith", "United_States" ], [ "Michael_J._S._Dewar", "isCitizenOf", "India" ], [ "Michael_J._S._Dewar", "isCitizenOf", "United_States" ], [ "Morocco", "dealsWith", "India" ], [ "Morocco", "dealsWith", "United_States" ], [ "Mozambique", "dealsWith", "India" ], [ "Mozambique", "dealsWith", "United_States" ], [ "Murray_Gell-Mann", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Murray_Gell-Mann", "isCitizenOf", "United_States" ], [ "Murray_Gell-Mann", "livesIn", "United_States" ], [ "My_Name_Is_Khan", "isLocatedIn", "India" ], [ "My_Name_Is_Khan", "isLocatedIn", "United_States" ], [ "Nepal", "dealsWith", "India" ], [ "Nepal", "dealsWith", "United_States" ], [ "Nepal", "hasNeighbor", "India" ], [ "Nicolaas_Bloembergen", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Nicolaas_Bloembergen", "isCitizenOf", "United_States" ], [ "Nicolaas_Bloembergen", "livesIn", "United_States" ], [ "Nigeria", "dealsWith", "India" ], [ "Nigeria", "dealsWith", "United_States" ], [ "Nobel_Prize_in_Physics", "isLocatedIn", "Sweden" ], [ "Norman_Foster_Ramsey,_Jr.", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Norman_Foster_Ramsey,_Jr.", "isCitizenOf", "United_States" ], [ "Norman_Foster_Ramsey,_Jr.", "livesIn", "United_States" ], [ "Oman", "dealsWith", "India" ], [ "Oman", "dealsWith", "United_States" ], [ "Otto_Stern", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Otto_Stern", "isCitizenOf", "United_States" ], [ "Pakistan", "dealsWith", "United_States" ], [ "Pakistan", "hasNeighbor", "India" ], [ "Paul_Dirac", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Paul_Dirac", "isCitizenOf", "United_States" ], [ "Percy_Williams_Bridgman", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Percy_Williams_Bridgman", "isCitizenOf", "United_States" ], [ "Philip_Warren_Anderson", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Philip_Warren_Anderson", "isCitizenOf", "United_States" ], [ "Pirzada", "isLocatedIn", "India" ], [ "Pirzada", "isLocatedIn", "United_States" ], [ "Qatar", "dealsWith", "India" ], [ "Qatar", "dealsWith", "United_States" ], [ "Raymond_Davis,_Jr.", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Raymond_Davis,_Jr.", "isCitizenOf", "United_States" ], [ "Republic_of_the_Congo", "dealsWith", "India" ], [ "Republic_of_the_Congo", "dealsWith", "United_States" ], [ "Riccardo_Giacconi", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Riccardo_Giacconi", "isCitizenOf", "United_States" ], [ "Riccardo_Giacconi", "livesIn", "United_States" ], [ "Richard_Feynman", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Richard_Feynman", "isCitizenOf", "United_States" ], [ "Richard_Feynman", "livesIn", "United_States" ], [ "Roadside_Romeo", "isLocatedIn", "India" ], [ "Roadside_Romeo", "isLocatedIn", "United_States" ], [ "Robert_Andrews_Millikan", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Robert_Andrews_Millikan", "isCitizenOf", "United_States" ], [ "Robert_B._Laughlin", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Robert_B._Laughlin", "isCitizenOf", "United_States" ], [ "Robert_Coleman_Richardson", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Robert_Coleman_Richardson", "isCitizenOf", "United_States" ], [ "Robert_Coleman_Richardson", "livesIn", "United_States" ], [ "Robert_Hofstadter", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Robert_Hofstadter", "isCitizenOf", "United_States" ], [ "Rwanda", "dealsWith", "India" ], [ "Rwanda", "dealsWith", "United_States" ], [ "S._R._Srinivasa_Varadhan", "isCitizenOf", "India" ], [ "S._R._Srinivasa_Varadhan", "isCitizenOf", "United_States" ], [ "S._R._Srinivasa_Varadhan", "livesIn", "United_States" ], [ "Saudi_Arabia", "dealsWith", "India" ], [ "Saudi_Arabia", "dealsWith", "United_States" ], [ "Second_Anglo-Mysore_War", "happenedIn", "India" ], [ "Second_Boer_War", "isLocatedIn", "India" ], [ "Sendhil_Mullainathan", "isCitizenOf", "India" ], [ "Sendhil_Mullainathan", "isCitizenOf", "United_States" ], [ "Sendhil_Mullainathan", "livesIn", "United_States" ], [ "Sierra_Leone", "dealsWith", "India" ], [ "Sierra_Leone", "dealsWith", "United_States" ], [ "Singapore", "dealsWith", "United_States" ], [ "South-East_Asian_theatre_of_World_War_II", "happenedIn", "India" ], [ "South_Africa", "dealsWith", "India" ], [ "South_Africa", "dealsWith", "United_States" ], [ "Soviet_war_in_Afghanistan", "happenedIn", "India" ], [ "Sri_Lanka", "dealsWith", "India" ], [ "Sri_Lanka", "dealsWith", "United_States" ], [ "Steven_Weinberg", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Steven_Weinberg", "isCitizenOf", "United_States" ], [ "Steven_Weinberg", "livesIn", "United_States" ], [ "Subrahmanyan_Chandrasekhar", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Subrahmanyan_Chandrasekhar", "isCitizenOf", "United_States" ], [ "Subrahmanyan_Chandrasekhar", "livesIn", "United_States" ], [ "Sweden", "dealsWith", "United_States" ], [ "Switzerland", "dealsWith", "United_States" ], [ "The_Bahamas", "dealsWith", "India" ], [ "The_Bahamas", "dealsWith", "United_States" ], [ "The_Happening_(2008_film)", "isLocatedIn", "India" ], [ "The_Happening_(2008_film)", "isLocatedIn", "United_States" ], [ "Umesh_Vazirani", "isCitizenOf", "India" ], [ "Umesh_Vazirani", "livesIn", "United_States" ], [ "United_Arab_Emirates", "dealsWith", "India" ], [ "United_Arab_Emirates", "dealsWith", "United_States" ], [ "United_States", "dealsWith", "China" ], [ "United_States", "participatedIn", "Boxer_Rebellion" ], [ "United_States", "participatedIn", "Burma_Campaign_1944" ], [ "United_States", "participatedIn", "Civil_war_in_Afghanistan_(1996–2001)" ], [ "United_States", "participatedIn", "Congo_Crisis" ], [ "United_States", "participatedIn", "Indian_Ocean_raid" ], [ "United_States", "participatedIn", "Korean_War" ], [ "United_States", "participatedIn", "Operation_Enduring_Freedom" ], [ "United_States", "participatedIn", "Operation_Enduring_Freedom_–_Horn_of_Africa" ], [ "United_States", "participatedIn", "People's_General" ], [ "United_States", "participatedIn", "Second_Anglo-Mysore_War" ], [ "United_States", "participatedIn", "Second_Boer_War" ], [ "United_States", "participatedIn", "Sierra_Leone_Civil_War" ], [ "United_States", "participatedIn", "South-East_Asian_theatre_of_World_War_II" ], [ "United_States", "participatedIn", "Soviet_war_in_Afghanistan" ], [ "United_States", "participatedIn", "Unified_Task_Force" ], [ "United_States", "participatedIn", "War_on_Terror" ], [ "United_World_Colleges", "isLocatedIn", "India" ], [ "United_World_Colleges", "isLocatedIn", "United_States" ], [ "Venezuela", "dealsWith", "India" ], [ "Venezuela", "dealsWith", "United_States" ], [ "Victor_Francis_Hess", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Victor_Francis_Hess", "isCitizenOf", "United_States" ], [ "Willard_Boyle", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Willard_Boyle", "isCitizenOf", "United_States" ], [ "William_Shockley", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "William_Shockley", "isCitizenOf", "United_States" ], [ "Willis_Lamb", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Willis_Lamb", "isCitizenOf", "United_States" ], [ "Yoichiro_Nambu", "hasWonPrize", "Nobel_Prize_in_Physics" ], [ "Yoichiro_Nambu", "isCitizenOf", "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 43191, Esther_Duflo 82527, Ngô_Bảo_Châu 41674, Trà_Vinh_Province 84438, Vietnam 108010, École_normale_supérieure src, edge_attr, dst 43191, graduatedFrom, 108010 82527, graduatedFrom, 108010 82527, isCitizenOf, 84438 41674, isLocatedIn, 84438 Question: How are Esther_Duflo and Trà_Vinh_Province related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Esther_Duflo", "Trà_Vinh_Province" ], "valid_edges": [ [ "Esther_Duflo", "graduatedFrom", "École_normale_supérieure" ], [ "Ngô_Bảo_Châu", "graduatedFrom", "École_normale_supérieure" ], [ "Ngô_Bảo_Châu", "isCitizenOf", "Vietnam" ], [ "Trà_Vinh_Province", "isLocatedIn", "Vietnam" ] ], "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 77750, Ali_Kazemaini 27058, Andrew_Gregor 90710, Baltimore_Blast_(1980–92) 4474, Bill_Andracki 39730, Chris_Nurse 25779, Cleveland_Crunch 59731, Connally_Edozien 98724, Dennis_Spooner 67180, Doug_Miller 112246, Glenn_Carbonara 14279, Hector_Marinaro 25804, Henry_Gutierrez 97200, John_Ball_(soccer) 16028, Justina_of_Padua 58475, Kai_Haaskivi 45345, London 17508, Marco_Rizi 50749, Mark_Kerlin 54186, Mike_Sweeney_(soccer) 78970, Paul_Kitson_(American_soccer) 32721, Paul_Wright_(soccer) 3653, Pedro_Nel_Ospina_Vázquez 49241, Rochester_Rhinos 6544, Scott_Schweitzer 80914, Stoian_Mladenov 82416, Temoc_Suarez 40867, Zoran_Karić src, edge_attr, dst 77750, isAffiliatedTo, 90710 77750, isAffiliatedTo, 25779 77750, playsFor, 90710 77750, playsFor, 25779 27058, isAffiliatedTo, 25779 27058, isAffiliatedTo, 49241 27058, playsFor, 25779 27058, playsFor, 49241 4474, playsFor, 25779 4474, playsFor, 49241 39730, isAffiliatedTo, 49241 39730, playsFor, 49241 39730, wasBornIn, 45345 59731, isAffiliatedTo, 25779 59731, isAffiliatedTo, 49241 59731, playsFor, 25779 59731, playsFor, 49241 98724, diedIn, 45345 98724, wasBornIn, 45345 67180, isAffiliatedTo, 90710 67180, isAffiliatedTo, 25779 67180, isAffiliatedTo, 49241 67180, playsFor, 90710 67180, playsFor, 25779 67180, playsFor, 49241 112246, playsFor, 90710 112246, playsFor, 25779 14279, isAffiliatedTo, 25779 14279, isAffiliatedTo, 49241 14279, playsFor, 25779 14279, playsFor, 49241 25804, isAffiliatedTo, 25779 25804, isAffiliatedTo, 49241 25804, playsFor, 25779 25804, playsFor, 49241 97200, isAffiliatedTo, 25779 97200, isAffiliatedTo, 49241 97200, playsFor, 25779 97200, playsFor, 49241 16028, playsFor, 25779 16028, playsFor, 49241 58475, isAffiliatedTo, 90710 58475, isAffiliatedTo, 25779 58475, playsFor, 90710 58475, playsFor, 25779 17508, isAffiliatedTo, 25779 17508, isAffiliatedTo, 49241 17508, playsFor, 25779 17508, playsFor, 49241 50749, isAffiliatedTo, 90710 50749, isAffiliatedTo, 25779 50749, playsFor, 90710 50749, playsFor, 25779 54186, isAffiliatedTo, 90710 54186, isAffiliatedTo, 25779 54186, playsFor, 90710 54186, playsFor, 25779 78970, isAffiliatedTo, 90710 78970, playsFor, 90710 78970, wasBornIn, 45345 32721, isAffiliatedTo, 25779 32721, playsFor, 25779 32721, wasBornIn, 45345 3653, playsFor, 90710 3653, playsFor, 25779 6544, isAffiliatedTo, 25779 6544, isAffiliatedTo, 49241 6544, playsFor, 25779 6544, playsFor, 49241 80914, playsFor, 25779 80914, playsFor, 49241 82416, isAffiliatedTo, 25779 82416, isAffiliatedTo, 49241 82416, playsFor, 25779 82416, playsFor, 49241 40867, isAffiliatedTo, 25779 40867, isAffiliatedTo, 49241 40867, playsFor, 25779 40867, playsFor, 49241 Question: For what reason are Dennis_Spooner and Doug_Miller associated? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Dennis_Spooner", "Doug_Miller" ], "valid_edges": [ [ "Ali_Kazemaini", "isAffiliatedTo", "Baltimore_Blast_(1980–92)" ], [ "Ali_Kazemaini", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Ali_Kazemaini", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Ali_Kazemaini", "playsFor", "Cleveland_Crunch" ], [ "Andrew_Gregor", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Andrew_Gregor", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Andrew_Gregor", "playsFor", "Cleveland_Crunch" ], [ "Andrew_Gregor", "playsFor", "Rochester_Rhinos" ], [ "Bill_Andracki", "playsFor", "Cleveland_Crunch" ], [ "Bill_Andracki", "playsFor", "Rochester_Rhinos" ], [ "Chris_Nurse", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Chris_Nurse", "playsFor", "Rochester_Rhinos" ], [ "Chris_Nurse", "wasBornIn", "London" ], [ "Connally_Edozien", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Connally_Edozien", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Connally_Edozien", "playsFor", "Cleveland_Crunch" ], [ "Connally_Edozien", "playsFor", "Rochester_Rhinos" ], [ "Dennis_Spooner", "diedIn", "London" ], [ "Dennis_Spooner", "wasBornIn", "London" ], [ "Doug_Miller", "isAffiliatedTo", "Baltimore_Blast_(1980–92)" ], [ "Doug_Miller", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Doug_Miller", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Doug_Miller", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Doug_Miller", "playsFor", "Cleveland_Crunch" ], [ "Doug_Miller", "playsFor", "Rochester_Rhinos" ], [ "Glenn_Carbonara", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Glenn_Carbonara", "playsFor", "Cleveland_Crunch" ], [ "Hector_Marinaro", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Hector_Marinaro", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Hector_Marinaro", "playsFor", "Cleveland_Crunch" ], [ "Hector_Marinaro", "playsFor", "Rochester_Rhinos" ], [ "Henry_Gutierrez", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Henry_Gutierrez", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Henry_Gutierrez", "playsFor", "Cleveland_Crunch" ], [ "Henry_Gutierrez", "playsFor", "Rochester_Rhinos" ], [ "John_Ball_(soccer)", "isAffiliatedTo", "Cleveland_Crunch" ], [ "John_Ball_(soccer)", "isAffiliatedTo", "Rochester_Rhinos" ], [ "John_Ball_(soccer)", "playsFor", "Cleveland_Crunch" ], [ "John_Ball_(soccer)", "playsFor", "Rochester_Rhinos" ], [ "Justina_of_Padua", "playsFor", "Cleveland_Crunch" ], [ "Justina_of_Padua", "playsFor", "Rochester_Rhinos" ], [ "Kai_Haaskivi", "isAffiliatedTo", "Baltimore_Blast_(1980–92)" ], [ "Kai_Haaskivi", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Kai_Haaskivi", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Kai_Haaskivi", "playsFor", "Cleveland_Crunch" ], [ "Marco_Rizi", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Marco_Rizi", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Marco_Rizi", "playsFor", "Cleveland_Crunch" ], [ "Marco_Rizi", "playsFor", "Rochester_Rhinos" ], [ "Mark_Kerlin", "isAffiliatedTo", "Baltimore_Blast_(1980–92)" ], [ "Mark_Kerlin", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Mark_Kerlin", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Mark_Kerlin", "playsFor", "Cleveland_Crunch" ], [ "Mike_Sweeney_(soccer)", "isAffiliatedTo", "Baltimore_Blast_(1980–92)" ], [ "Mike_Sweeney_(soccer)", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Mike_Sweeney_(soccer)", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Mike_Sweeney_(soccer)", "playsFor", "Cleveland_Crunch" ], [ "Paul_Kitson_(American_soccer)", "isAffiliatedTo", "Baltimore_Blast_(1980–92)" ], [ "Paul_Kitson_(American_soccer)", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Paul_Kitson_(American_soccer)", "wasBornIn", "London" ], [ "Paul_Wright_(soccer)", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Paul_Wright_(soccer)", "playsFor", "Cleveland_Crunch" ], [ "Paul_Wright_(soccer)", "wasBornIn", "London" ], [ "Pedro_Nel_Ospina_Vázquez", "playsFor", "Baltimore_Blast_(1980–92)" ], [ "Pedro_Nel_Ospina_Vázquez", "playsFor", "Cleveland_Crunch" ], [ "Scott_Schweitzer", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Scott_Schweitzer", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Scott_Schweitzer", "playsFor", "Cleveland_Crunch" ], [ "Scott_Schweitzer", "playsFor", "Rochester_Rhinos" ], [ "Stoian_Mladenov", "playsFor", "Cleveland_Crunch" ], [ "Stoian_Mladenov", "playsFor", "Rochester_Rhinos" ], [ "Temoc_Suarez", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Temoc_Suarez", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Temoc_Suarez", "playsFor", "Cleveland_Crunch" ], [ "Temoc_Suarez", "playsFor", "Rochester_Rhinos" ], [ "Zoran_Karić", "isAffiliatedTo", "Cleveland_Crunch" ], [ "Zoran_Karić", "isAffiliatedTo", "Rochester_Rhinos" ], [ "Zoran_Karić", "playsFor", "Cleveland_Crunch" ], [ "Zoran_Karić", "playsFor", "Rochester_Rhinos" ] ], "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 95802, Australia 97866, Bill_Murray 53263, Dan_Aykroyd 20320, Deloraine,_Tasmania 6128, Donn_Cambern 37118, Elmer_Bernstein 94840, Fathers'_Day_(film) 100883, Ghostbusters 23000, Ghostbusters_II 93269, Harold_Ramis 76349, Ivan_Reitman 120423, John_Candy 558, Kindergarten_Cop 81786, Legal_Eagles 71284, McMaster_University 59292, My_Super_Ex-Girlfriend 97021, Oceania 18490, Randy_Edelman 60402, Rick_Moranis 60865, Second_Boer_War 12381, Sheldon_Kahn 50616, Sigourney_Weaver 6733, Stripes_(film) 16824, Tasmania 32966, Twins_(1988_film) 29157, United_States src, edge_attr, dst 22933, actedIn, 558 22933, actedIn, 32966 95802, dealsWith, 29157 95802, isLocatedIn, 97021 95802, participatedIn, 60865 97866, actedIn, 100883 97866, actedIn, 23000 97866, actedIn, 6733 53263, actedIn, 23000 53263, created, 100883 53263, created, 23000 20320, isLocatedIn, 95802 20320, isLocatedIn, 16824 6128, edited, 23000 6128, edited, 32966 37118, created, 100883 37118, wroteMusicFor, 100883 37118, wroteMusicFor, 81786 37118, wroteMusicFor, 6733 94840, isLocatedIn, 29157 100883, isLocatedIn, 29157 23000, isLocatedIn, 29157 93269, actedIn, 23000 93269, created, 100883 93269, created, 23000 93269, created, 6733 76349, directed, 94840 76349, directed, 100883 76349, directed, 23000 76349, directed, 558 76349, directed, 81786 76349, directed, 59292 76349, directed, 6733 76349, directed, 32966 76349, graduatedFrom, 71284 120423, actedIn, 6733 120423, graduatedFrom, 71284 558, isLocatedIn, 29157 81786, isLocatedIn, 29157 59292, isLocatedIn, 29157 18490, created, 558 18490, wroteMusicFor, 23000 18490, wroteMusicFor, 558 18490, wroteMusicFor, 32966 60402, actedIn, 100883 60402, actedIn, 23000 60865, happenedIn, 95802 12381, edited, 94840 12381, edited, 100883 12381, edited, 23000 12381, edited, 558 12381, edited, 81786 12381, edited, 59292 12381, edited, 32966 50616, actedIn, 100883 50616, actedIn, 23000 6733, isLocatedIn, 29157 16824, isLocatedIn, 95802 16824, isLocatedIn, 97021 16824, participatedIn, 60865 32966, isLocatedIn, 29157 Question: In what context are Deloraine,_Tasmania and Ivan_Reitman connected? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Deloraine,_Tasmania", "Ivan_Reitman" ], "valid_edges": [ [ "Arnold_Schwarzenegger", "actedIn", "Kindergarten_Cop" ], [ "Arnold_Schwarzenegger", "actedIn", "Twins_(1988_film)" ], [ "Australia", "dealsWith", "United_States" ], [ "Australia", "isLocatedIn", "Oceania" ], [ "Australia", "participatedIn", "Second_Boer_War" ], [ "Bill_Murray", "actedIn", "Ghostbusters" ], [ "Bill_Murray", "actedIn", "Ghostbusters_II" ], [ "Bill_Murray", "actedIn", "Stripes_(film)" ], [ "Dan_Aykroyd", "actedIn", "Ghostbusters_II" ], [ "Dan_Aykroyd", "created", "Ghostbusters" ], [ "Dan_Aykroyd", "created", "Ghostbusters_II" ], [ "Deloraine,_Tasmania", "isLocatedIn", "Australia" ], [ "Deloraine,_Tasmania", "isLocatedIn", "Tasmania" ], [ "Donn_Cambern", "edited", "Ghostbusters_II" ], [ "Donn_Cambern", "edited", "Twins_(1988_film)" ], [ "Elmer_Bernstein", "created", "Ghostbusters" ], [ "Elmer_Bernstein", "wroteMusicFor", "Ghostbusters" ], [ "Elmer_Bernstein", "wroteMusicFor", "Legal_Eagles" ], [ "Elmer_Bernstein", "wroteMusicFor", "Stripes_(film)" ], [ "Fathers'_Day_(film)", "isLocatedIn", "United_States" ], [ "Ghostbusters", "isLocatedIn", "United_States" ], [ "Ghostbusters_II", "isLocatedIn", "United_States" ], [ "Harold_Ramis", "actedIn", "Ghostbusters_II" ], [ "Harold_Ramis", "created", "Ghostbusters" ], [ "Harold_Ramis", "created", "Ghostbusters_II" ], [ "Harold_Ramis", "created", "Stripes_(film)" ], [ "Ivan_Reitman", "directed", "Fathers'_Day_(film)" ], [ "Ivan_Reitman", "directed", "Ghostbusters" ], [ "Ivan_Reitman", "directed", "Ghostbusters_II" ], [ "Ivan_Reitman", "directed", "Kindergarten_Cop" ], [ "Ivan_Reitman", "directed", "Legal_Eagles" ], [ "Ivan_Reitman", "directed", "My_Super_Ex-Girlfriend" ], [ "Ivan_Reitman", "directed", "Stripes_(film)" ], [ "Ivan_Reitman", "directed", "Twins_(1988_film)" ], [ "Ivan_Reitman", "graduatedFrom", "McMaster_University" ], [ "John_Candy", "actedIn", "Stripes_(film)" ], [ "John_Candy", "graduatedFrom", "McMaster_University" ], [ "Kindergarten_Cop", "isLocatedIn", "United_States" ], [ "Legal_Eagles", "isLocatedIn", "United_States" ], [ "My_Super_Ex-Girlfriend", "isLocatedIn", "United_States" ], [ "Randy_Edelman", "created", "Kindergarten_Cop" ], [ "Randy_Edelman", "wroteMusicFor", "Ghostbusters_II" ], [ "Randy_Edelman", "wroteMusicFor", "Kindergarten_Cop" ], [ "Randy_Edelman", "wroteMusicFor", "Twins_(1988_film)" ], [ "Rick_Moranis", "actedIn", "Ghostbusters" ], [ "Rick_Moranis", "actedIn", "Ghostbusters_II" ], [ "Second_Boer_War", "happenedIn", "Australia" ], [ "Sheldon_Kahn", "edited", "Fathers'_Day_(film)" ], [ "Sheldon_Kahn", "edited", "Ghostbusters" ], [ "Sheldon_Kahn", "edited", "Ghostbusters_II" ], [ "Sheldon_Kahn", "edited", "Kindergarten_Cop" ], [ "Sheldon_Kahn", "edited", "Legal_Eagles" ], [ "Sheldon_Kahn", "edited", "My_Super_Ex-Girlfriend" ], [ "Sheldon_Kahn", "edited", "Twins_(1988_film)" ], [ "Sigourney_Weaver", "actedIn", "Ghostbusters" ], [ "Sigourney_Weaver", "actedIn", "Ghostbusters_II" ], [ "Stripes_(film)", "isLocatedIn", "United_States" ], [ "Tasmania", "isLocatedIn", "Australia" ], [ "Tasmania", "isLocatedIn", "Oceania" ], [ "Tasmania", "participatedIn", "Second_Boer_War" ], [ "Twins_(1988_film)", "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 38706, Imed_Mhedhebi 26296, Matt_Morris_(musician) 118104, male src, edge_attr, dst 38706, hasGender, 118104 26296, hasGender, 118104 Question: How are Imed_Mhedhebi and Matt_Morris_(musician) related? Your output must be ONLY the PATH block.
graph_path
{ "style": "rule" }
{ "entities": [ "Imed_Mhedhebi", "Matt_Morris_(musician)" ], "valid_edges": [ [ "Imed_Mhedhebi", "hasGender", "male" ], [ "Matt_Morris_(musician)", "hasGender", "male" ] ], "ground_truth": [], "gt_cost": null }