data_source
stringclasses 1
value | prompt
stringlengths 1.02k
14.6k
| ability
stringclasses 1
value | reward_model
dict | extra_info
dict |
|---|---|---|---|---|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
18438, Azerbaijan
77788, British_Virgin_Islands
68509, Croatia
84107, F.C._Dynamo_Kyiv
52555, Finland
12542, Kosovo
76060, Moldova
85860, Pakistan
86319, Ukraine
56539, Uzbekistan
51865, Yervand_Sukiasyan
39354, wordnet_foodstuff_107566340
9577, wordnet_machinery_103701640
src, edge_attr, dst
18438, exports, 9577
18438, imports, 39354
77788, imports, 39354
77788, imports, 9577
68509, exports, 39354
68509, exports, 9577
68509, imports, 9577
84107, isLocatedIn, 86319
52555, exports, 9577
52555, imports, 39354
52555, imports, 9577
12542, exports, 9577
12542, imports, 39354
12542, imports, 9577
76060, exports, 39354
76060, exports, 9577
85860, exports, 39354
85860, imports, 9577
86319, exports, 39354
56539, exports, 39354
56539, exports, 9577
56539, imports, 39354
51865, isAffiliatedTo, 84107
Question: How are British_Virgin_Islands and Yervand_Sukiasyan related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"British_Virgin_Islands",
"Yervand_Sukiasyan"
],
"valid_edges": [
[
"Azerbaijan",
"exports",
"wordnet_machinery_103701640"
],
[
"Azerbaijan",
"imports",
"wordnet_foodstuff_107566340"
],
[
"British_Virgin_Islands",
"imports",
"wordnet_foodstuff_107566340"
],
[
"British_Virgin_Islands",
"imports",
"wordnet_machinery_103701640"
],
[
"Croatia",
"exports",
"wordnet_foodstuff_107566340"
],
[
"Croatia",
"exports",
"wordnet_machinery_103701640"
],
[
"Croatia",
"imports",
"wordnet_machinery_103701640"
],
[
"F.C._Dynamo_Kyiv",
"isLocatedIn",
"Ukraine"
],
[
"Finland",
"exports",
"wordnet_machinery_103701640"
],
[
"Finland",
"imports",
"wordnet_foodstuff_107566340"
],
[
"Finland",
"imports",
"wordnet_machinery_103701640"
],
[
"Kosovo",
"exports",
"wordnet_machinery_103701640"
],
[
"Kosovo",
"imports",
"wordnet_foodstuff_107566340"
],
[
"Kosovo",
"imports",
"wordnet_machinery_103701640"
],
[
"Moldova",
"exports",
"wordnet_foodstuff_107566340"
],
[
"Moldova",
"exports",
"wordnet_machinery_103701640"
],
[
"Pakistan",
"exports",
"wordnet_foodstuff_107566340"
],
[
"Pakistan",
"imports",
"wordnet_machinery_103701640"
],
[
"Ukraine",
"exports",
"wordnet_foodstuff_107566340"
],
[
"Uzbekistan",
"exports",
"wordnet_foodstuff_107566340"
],
[
"Uzbekistan",
"exports",
"wordnet_machinery_103701640"
],
[
"Uzbekistan",
"imports",
"wordnet_foodstuff_107566340"
],
[
"Yervand_Sukiasyan",
"isAffiliatedTo",
"F.C._Dynamo_Kyiv"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
114847, A_Flintstones_Christmas_Carol
104802, Batangas
93445, Battle_of_Heartbreak_Ridge
85306, Battle_of_Leyte
114515, Battle_of_Leyte_Gulf
23888, Battle_of_the_Imjin_River
64456, Battle_of_the_Visayas
41145, Berkeley,_California
7678, Butuan
78819, California
45863, China
107583, Congo_Crisis
88777, Gray_Davis
110655, Hong_Kong
33806, Indonesia
39241, International_Force_for_East_Timor
76792, Japan
68719, Jerry_Brown
78114, Jerry_Hill_(politician)
97911, Jesse_Dylan
92700, John_Cassavetes
57645, Korean_War
26506, Leland_Yee
23215, Leon_O._Chua
110262, Los_Angeles
79493, Malaysia
40821, Marinduque
115071, Mindanao
119516, Mirari_Films
70613, Moro_insurgency_in_the_Philippines
96837, Nicaraguan_Revolution
122711, Operation_Enduring_Freedom
50917, Operation_Ripper
87504, People_Power_Revolution
34241, Philippine_Revolution
84827, Philippines
77740, Philippine–American_War
20135, Rahadyan_Sastrowardoyo
93078, Richard_Riordan
117411, Roland_Emmerich
73524, Salinas,_California
118588, Santa_Monica_College
104670, Saudi_Arabia
29594, Singapore
88053, Siskiyou_County,_California
82590, South_Korea
106315, Spanish–American_War
48370, Thailand
29157, United_States
98557, Universal_Music_Group
112192, University_of_California,_Berkeley
75056, War_on_Terror
src, edge_attr, dst
114847, isLocatedIn, 84827
114847, isLocatedIn, 29157
104802, isLocatedIn, 84827
93445, happenedIn, 29157
85306, happenedIn, 84827
85306, happenedIn, 29157
114515, happenedIn, 84827
114515, happenedIn, 29157
64456, happenedIn, 84827
64456, happenedIn, 29157
41145, isLocatedIn, 78819
41145, isLocatedIn, 29157
7678, isLocatedIn, 115071
7678, isLocatedIn, 84827
78819, hasCapital, 110262
78819, isLocatedIn, 29157
45863, dealsWith, 29157
88777, isPoliticianOf, 78819
88777, isPoliticianOf, 29157
88777, livesIn, 78819
88777, livesIn, 29157
110655, dealsWith, 29157
33806, dealsWith, 29157
76792, dealsWith, 29157
68719, isPoliticianOf, 78819
68719, isPoliticianOf, 29157
78114, isCitizenOf, 29157
78114, livesIn, 78819
97911, isCitizenOf, 29157
97911, livesIn, 78819
92700, isCitizenOf, 29157
92700, livesIn, 78819
26506, isCitizenOf, 29157
26506, livesIn, 78819
23215, isCitizenOf, 84827
23215, isCitizenOf, 29157
110262, isLocatedIn, 78819
110262, isLocatedIn, 29157
79493, dealsWith, 29157
40821, isLocatedIn, 84827
115071, isLocatedIn, 84827
119516, isLocatedIn, 78819
119516, isLocatedIn, 29157
70613, happenedIn, 115071
70613, happenedIn, 84827
87504, happenedIn, 84827
34241, happenedIn, 84827
84827, dealsWith, 45863
84827, dealsWith, 110655
84827, dealsWith, 33806
84827, dealsWith, 76792
84827, dealsWith, 79493
84827, dealsWith, 104670
84827, dealsWith, 29594
84827, dealsWith, 82590
84827, dealsWith, 48370
84827, dealsWith, 29157
84827, hasCapital, 104802
84827, participatedIn, 93445
84827, participatedIn, 23888
84827, participatedIn, 107583
84827, participatedIn, 39241
84827, participatedIn, 57645
84827, participatedIn, 70613
84827, participatedIn, 96837
84827, participatedIn, 122711
84827, participatedIn, 50917
84827, participatedIn, 75056
77740, happenedIn, 84827
20135, isCitizenOf, 84827
20135, isCitizenOf, 29157
93078, livesIn, 78819
93078, livesIn, 29157
117411, livesIn, 78819
117411, livesIn, 29157
73524, isLocatedIn, 78819
73524, isLocatedIn, 29157
118588, isLocatedIn, 78819
118588, isLocatedIn, 29157
104670, dealsWith, 29157
29594, dealsWith, 29157
88053, isLocatedIn, 78819
88053, isLocatedIn, 29157
82590, dealsWith, 29157
106315, happenedIn, 84827
48370, dealsWith, 29157
29157, dealsWith, 45863
29157, dealsWith, 76792
29157, participatedIn, 104802
29157, participatedIn, 93445
29157, participatedIn, 85306
29157, participatedIn, 114515
29157, participatedIn, 23888
29157, participatedIn, 64456
29157, participatedIn, 107583
29157, participatedIn, 39241
29157, participatedIn, 57645
29157, participatedIn, 40821
29157, participatedIn, 70613
29157, participatedIn, 96837
29157, participatedIn, 122711
29157, participatedIn, 50917
29157, participatedIn, 87504
29157, participatedIn, 34241
29157, participatedIn, 77740
29157, participatedIn, 106315
29157, participatedIn, 75056
98557, isLocatedIn, 78819
98557, isLocatedIn, 29157
112192, isLocatedIn, 78819
112192, isLocatedIn, 29157
Question: How are Butuan and Siskiyou_County,_California related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Butuan",
"Siskiyou_County,_California"
],
"valid_edges": [
[
"A_Flintstones_Christmas_Carol",
"isLocatedIn",
"Philippines"
],
[
"A_Flintstones_Christmas_Carol",
"isLocatedIn",
"United_States"
],
[
"Batangas",
"isLocatedIn",
"Philippines"
],
[
"Battle_of_Heartbreak_Ridge",
"happenedIn",
"United_States"
],
[
"Battle_of_Leyte",
"happenedIn",
"Philippines"
],
[
"Battle_of_Leyte",
"happenedIn",
"United_States"
],
[
"Battle_of_Leyte_Gulf",
"happenedIn",
"Philippines"
],
[
"Battle_of_Leyte_Gulf",
"happenedIn",
"United_States"
],
[
"Battle_of_the_Visayas",
"happenedIn",
"Philippines"
],
[
"Battle_of_the_Visayas",
"happenedIn",
"United_States"
],
[
"Berkeley,_California",
"isLocatedIn",
"California"
],
[
"Berkeley,_California",
"isLocatedIn",
"United_States"
],
[
"Butuan",
"isLocatedIn",
"Mindanao"
],
[
"Butuan",
"isLocatedIn",
"Philippines"
],
[
"California",
"hasCapital",
"Los_Angeles"
],
[
"California",
"isLocatedIn",
"United_States"
],
[
"China",
"dealsWith",
"United_States"
],
[
"Gray_Davis",
"isPoliticianOf",
"California"
],
[
"Gray_Davis",
"isPoliticianOf",
"United_States"
],
[
"Gray_Davis",
"livesIn",
"California"
],
[
"Gray_Davis",
"livesIn",
"United_States"
],
[
"Hong_Kong",
"dealsWith",
"United_States"
],
[
"Indonesia",
"dealsWith",
"United_States"
],
[
"Japan",
"dealsWith",
"United_States"
],
[
"Jerry_Brown",
"isPoliticianOf",
"California"
],
[
"Jerry_Brown",
"isPoliticianOf",
"United_States"
],
[
"Jerry_Hill_(politician)",
"isCitizenOf",
"United_States"
],
[
"Jerry_Hill_(politician)",
"livesIn",
"California"
],
[
"Jesse_Dylan",
"isCitizenOf",
"United_States"
],
[
"Jesse_Dylan",
"livesIn",
"California"
],
[
"John_Cassavetes",
"isCitizenOf",
"United_States"
],
[
"John_Cassavetes",
"livesIn",
"California"
],
[
"Leland_Yee",
"isCitizenOf",
"United_States"
],
[
"Leland_Yee",
"livesIn",
"California"
],
[
"Leon_O._Chua",
"isCitizenOf",
"Philippines"
],
[
"Leon_O._Chua",
"isCitizenOf",
"United_States"
],
[
"Los_Angeles",
"isLocatedIn",
"California"
],
[
"Los_Angeles",
"isLocatedIn",
"United_States"
],
[
"Malaysia",
"dealsWith",
"United_States"
],
[
"Marinduque",
"isLocatedIn",
"Philippines"
],
[
"Mindanao",
"isLocatedIn",
"Philippines"
],
[
"Mirari_Films",
"isLocatedIn",
"California"
],
[
"Mirari_Films",
"isLocatedIn",
"United_States"
],
[
"Moro_insurgency_in_the_Philippines",
"happenedIn",
"Mindanao"
],
[
"Moro_insurgency_in_the_Philippines",
"happenedIn",
"Philippines"
],
[
"People_Power_Revolution",
"happenedIn",
"Philippines"
],
[
"Philippine_Revolution",
"happenedIn",
"Philippines"
],
[
"Philippines",
"dealsWith",
"China"
],
[
"Philippines",
"dealsWith",
"Hong_Kong"
],
[
"Philippines",
"dealsWith",
"Indonesia"
],
[
"Philippines",
"dealsWith",
"Japan"
],
[
"Philippines",
"dealsWith",
"Malaysia"
],
[
"Philippines",
"dealsWith",
"Saudi_Arabia"
],
[
"Philippines",
"dealsWith",
"Singapore"
],
[
"Philippines",
"dealsWith",
"South_Korea"
],
[
"Philippines",
"dealsWith",
"Thailand"
],
[
"Philippines",
"dealsWith",
"United_States"
],
[
"Philippines",
"hasCapital",
"Batangas"
],
[
"Philippines",
"participatedIn",
"Battle_of_Heartbreak_Ridge"
],
[
"Philippines",
"participatedIn",
"Battle_of_the_Imjin_River"
],
[
"Philippines",
"participatedIn",
"Congo_Crisis"
],
[
"Philippines",
"participatedIn",
"International_Force_for_East_Timor"
],
[
"Philippines",
"participatedIn",
"Korean_War"
],
[
"Philippines",
"participatedIn",
"Moro_insurgency_in_the_Philippines"
],
[
"Philippines",
"participatedIn",
"Nicaraguan_Revolution"
],
[
"Philippines",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"Philippines",
"participatedIn",
"Operation_Ripper"
],
[
"Philippines",
"participatedIn",
"War_on_Terror"
],
[
"Philippine–American_War",
"happenedIn",
"Philippines"
],
[
"Rahadyan_Sastrowardoyo",
"isCitizenOf",
"Philippines"
],
[
"Rahadyan_Sastrowardoyo",
"isCitizenOf",
"United_States"
],
[
"Richard_Riordan",
"livesIn",
"California"
],
[
"Richard_Riordan",
"livesIn",
"United_States"
],
[
"Roland_Emmerich",
"livesIn",
"California"
],
[
"Roland_Emmerich",
"livesIn",
"United_States"
],
[
"Salinas,_California",
"isLocatedIn",
"California"
],
[
"Salinas,_California",
"isLocatedIn",
"United_States"
],
[
"Santa_Monica_College",
"isLocatedIn",
"California"
],
[
"Santa_Monica_College",
"isLocatedIn",
"United_States"
],
[
"Saudi_Arabia",
"dealsWith",
"United_States"
],
[
"Singapore",
"dealsWith",
"United_States"
],
[
"Siskiyou_County,_California",
"isLocatedIn",
"California"
],
[
"Siskiyou_County,_California",
"isLocatedIn",
"United_States"
],
[
"South_Korea",
"dealsWith",
"United_States"
],
[
"Spanish–American_War",
"happenedIn",
"Philippines"
],
[
"Thailand",
"dealsWith",
"United_States"
],
[
"United_States",
"dealsWith",
"China"
],
[
"United_States",
"dealsWith",
"Japan"
],
[
"United_States",
"participatedIn",
"Batangas"
],
[
"United_States",
"participatedIn",
"Battle_of_Heartbreak_Ridge"
],
[
"United_States",
"participatedIn",
"Battle_of_Leyte"
],
[
"United_States",
"participatedIn",
"Battle_of_Leyte_Gulf"
],
[
"United_States",
"participatedIn",
"Battle_of_the_Imjin_River"
],
[
"United_States",
"participatedIn",
"Battle_of_the_Visayas"
],
[
"United_States",
"participatedIn",
"Congo_Crisis"
],
[
"United_States",
"participatedIn",
"International_Force_for_East_Timor"
],
[
"United_States",
"participatedIn",
"Korean_War"
],
[
"United_States",
"participatedIn",
"Marinduque"
],
[
"United_States",
"participatedIn",
"Moro_insurgency_in_the_Philippines"
],
[
"United_States",
"participatedIn",
"Nicaraguan_Revolution"
],
[
"United_States",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"United_States",
"participatedIn",
"Operation_Ripper"
],
[
"United_States",
"participatedIn",
"People_Power_Revolution"
],
[
"United_States",
"participatedIn",
"Philippine_Revolution"
],
[
"United_States",
"participatedIn",
"Philippine–American_War"
],
[
"United_States",
"participatedIn",
"Spanish–American_War"
],
[
"United_States",
"participatedIn",
"War_on_Terror"
],
[
"Universal_Music_Group",
"isLocatedIn",
"California"
],
[
"Universal_Music_Group",
"isLocatedIn",
"United_States"
],
[
"University_of_California,_Berkeley",
"isLocatedIn",
"California"
],
[
"University_of_California,_Berkeley",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
115641, Carlos,_Duke_of_Madrid
59265, Damien_Ryan
2058, Guerino_Vanoli_Basket
80974, Pallacanestro_Varese
84110, Varese
src, edge_attr, dst
115641, diedIn, 84110
59265, isAffiliatedTo, 2058
59265, isAffiliatedTo, 80974
80974, isLocatedIn, 84110
Question: How are Carlos,_Duke_of_Madrid and Guerino_Vanoli_Basket related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Carlos,_Duke_of_Madrid",
"Guerino_Vanoli_Basket"
],
"valid_edges": [
[
"Carlos,_Duke_of_Madrid",
"diedIn",
"Varese"
],
[
"Damien_Ryan",
"isAffiliatedTo",
"Guerino_Vanoli_Basket"
],
[
"Damien_Ryan",
"isAffiliatedTo",
"Pallacanestro_Varese"
],
[
"Pallacanestro_Varese",
"isLocatedIn",
"Varese"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
112751, A._E._W._Mason
13034, Andy_Payton
101582, Billy_Russell_(footballer,_born_1959)
49112, Bobby_Collins_(footballer)
1119, Callum_Tapping
31310, Celtic_F.C.
61605, Curtis_Davies
112976, David_Amoo
112042, David_Rocastle
36143, Dean_Marney_(footballer)
18660, Gary_Alexander_(footballer)
92853, Glyn_Hodges
2826, Hull_City_A.F.C.
52283, Ian_Wright
76390, Jack_Savage_(footballer)
61876, Jake_Livermore
101637, Jan_Vennegoor_of_Hesselink
115842, Jimmy_Bullard
53479, John_Bostock
110386, Justin_Whittle
113052, Leon_Cort
2107, Liam_Rosenior
45345, London
112627, Margaret_Thatcher
71694, Mark_Noble
50849, Marlon_King
93030, Martin_Hayes_(footballer)
98309, Michael_Turner_(footballer)
83420, Mick_O'Brien_(footballer_born_1893)
104824, Patrick_O'Connell_(Irish_footballer)
119097, Steven_Mouyokolo
91180, Tony_Warner
120351, Willie_Buchan
src, edge_attr, dst
112751, diedIn, 45345
13034, isAffiliatedTo, 31310
13034, isAffiliatedTo, 2826
13034, playsFor, 31310
13034, playsFor, 2826
101582, isAffiliatedTo, 31310
101582, isAffiliatedTo, 2826
101582, playsFor, 31310
49112, isAffiliatedTo, 31310
49112, isAffiliatedTo, 2826
49112, playsFor, 31310
1119, isAffiliatedTo, 31310
1119, playsFor, 31310
1119, wasBornIn, 45345
61605, isAffiliatedTo, 2826
61605, playsFor, 2826
61605, wasBornIn, 45345
112976, playsFor, 2826
112976, wasBornIn, 45345
112042, isAffiliatedTo, 2826
112042, playsFor, 2826
112042, wasBornIn, 45345
36143, isAffiliatedTo, 2826
36143, playsFor, 2826
36143, wasBornIn, 45345
18660, isAffiliatedTo, 2826
18660, playsFor, 2826
18660, wasBornIn, 45345
92853, isAffiliatedTo, 2826
92853, playsFor, 2826
92853, wasBornIn, 45345
52283, isAffiliatedTo, 31310
52283, playsFor, 31310
52283, wasBornIn, 45345
76390, isAffiliatedTo, 2826
76390, playsFor, 2826
76390, wasBornIn, 45345
61876, isAffiliatedTo, 2826
61876, playsFor, 2826
61876, wasBornIn, 45345
101637, isAffiliatedTo, 31310
101637, isAffiliatedTo, 2826
101637, playsFor, 31310
101637, playsFor, 2826
115842, isAffiliatedTo, 2826
115842, playsFor, 2826
115842, wasBornIn, 45345
53479, isAffiliatedTo, 2826
53479, playsFor, 2826
53479, wasBornIn, 45345
110386, isAffiliatedTo, 31310
110386, isAffiliatedTo, 2826
110386, playsFor, 31310
110386, playsFor, 2826
113052, isAffiliatedTo, 2826
113052, playsFor, 2826
113052, wasBornIn, 45345
2107, isAffiliatedTo, 2826
2107, playsFor, 2826
2107, wasBornIn, 45345
112627, diedIn, 45345
112627, playsFor, 31310
71694, isAffiliatedTo, 2826
71694, playsFor, 2826
71694, wasBornIn, 45345
50849, isAffiliatedTo, 2826
50849, playsFor, 2826
50849, wasBornIn, 45345
93030, isAffiliatedTo, 31310
93030, playsFor, 31310
93030, wasBornIn, 45345
98309, isAffiliatedTo, 2826
98309, playsFor, 2826
98309, wasBornIn, 45345
83420, isAffiliatedTo, 31310
83420, isAffiliatedTo, 2826
83420, playsFor, 31310
83420, playsFor, 2826
104824, diedIn, 45345
104824, isAffiliatedTo, 2826
104824, playsFor, 2826
119097, isAffiliatedTo, 31310
119097, isAffiliatedTo, 2826
119097, playsFor, 31310
119097, playsFor, 2826
91180, isAffiliatedTo, 31310
91180, isAffiliatedTo, 2826
91180, playsFor, 31310
91180, playsFor, 2826
120351, isAffiliatedTo, 31310
120351, isAffiliatedTo, 2826
120351, playsFor, 31310
120351, playsFor, 2826
Question: For what reason are A._E._W._Mason and Jan_Vennegoor_of_Hesselink associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"A._E._W._Mason",
"Jan_Vennegoor_of_Hesselink"
],
"valid_edges": [
[
"A._E._W._Mason",
"diedIn",
"London"
],
[
"Andy_Payton",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Andy_Payton",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Andy_Payton",
"playsFor",
"Celtic_F.C."
],
[
"Andy_Payton",
"playsFor",
"Hull_City_A.F.C."
],
[
"Billy_Russell_(footballer,_born_1959)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Billy_Russell_(footballer,_born_1959)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Billy_Russell_(footballer,_born_1959)",
"playsFor",
"Celtic_F.C."
],
[
"Bobby_Collins_(footballer)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Bobby_Collins_(footballer)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Bobby_Collins_(footballer)",
"playsFor",
"Celtic_F.C."
],
[
"Callum_Tapping",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Callum_Tapping",
"playsFor",
"Celtic_F.C."
],
[
"Callum_Tapping",
"wasBornIn",
"London"
],
[
"Curtis_Davies",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Curtis_Davies",
"playsFor",
"Hull_City_A.F.C."
],
[
"Curtis_Davies",
"wasBornIn",
"London"
],
[
"David_Amoo",
"playsFor",
"Hull_City_A.F.C."
],
[
"David_Amoo",
"wasBornIn",
"London"
],
[
"David_Rocastle",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"David_Rocastle",
"playsFor",
"Hull_City_A.F.C."
],
[
"David_Rocastle",
"wasBornIn",
"London"
],
[
"Dean_Marney_(footballer)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Dean_Marney_(footballer)",
"playsFor",
"Hull_City_A.F.C."
],
[
"Dean_Marney_(footballer)",
"wasBornIn",
"London"
],
[
"Gary_Alexander_(footballer)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Gary_Alexander_(footballer)",
"playsFor",
"Hull_City_A.F.C."
],
[
"Gary_Alexander_(footballer)",
"wasBornIn",
"London"
],
[
"Glyn_Hodges",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Glyn_Hodges",
"playsFor",
"Hull_City_A.F.C."
],
[
"Glyn_Hodges",
"wasBornIn",
"London"
],
[
"Ian_Wright",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Ian_Wright",
"playsFor",
"Celtic_F.C."
],
[
"Ian_Wright",
"wasBornIn",
"London"
],
[
"Jack_Savage_(footballer)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Jack_Savage_(footballer)",
"playsFor",
"Hull_City_A.F.C."
],
[
"Jack_Savage_(footballer)",
"wasBornIn",
"London"
],
[
"Jake_Livermore",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Jake_Livermore",
"playsFor",
"Hull_City_A.F.C."
],
[
"Jake_Livermore",
"wasBornIn",
"London"
],
[
"Jan_Vennegoor_of_Hesselink",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Jan_Vennegoor_of_Hesselink",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Jan_Vennegoor_of_Hesselink",
"playsFor",
"Celtic_F.C."
],
[
"Jan_Vennegoor_of_Hesselink",
"playsFor",
"Hull_City_A.F.C."
],
[
"Jimmy_Bullard",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Jimmy_Bullard",
"playsFor",
"Hull_City_A.F.C."
],
[
"Jimmy_Bullard",
"wasBornIn",
"London"
],
[
"John_Bostock",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"John_Bostock",
"playsFor",
"Hull_City_A.F.C."
],
[
"John_Bostock",
"wasBornIn",
"London"
],
[
"Justin_Whittle",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Justin_Whittle",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Justin_Whittle",
"playsFor",
"Celtic_F.C."
],
[
"Justin_Whittle",
"playsFor",
"Hull_City_A.F.C."
],
[
"Leon_Cort",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Leon_Cort",
"playsFor",
"Hull_City_A.F.C."
],
[
"Leon_Cort",
"wasBornIn",
"London"
],
[
"Liam_Rosenior",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Liam_Rosenior",
"playsFor",
"Hull_City_A.F.C."
],
[
"Liam_Rosenior",
"wasBornIn",
"London"
],
[
"Margaret_Thatcher",
"diedIn",
"London"
],
[
"Margaret_Thatcher",
"playsFor",
"Celtic_F.C."
],
[
"Mark_Noble",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Mark_Noble",
"playsFor",
"Hull_City_A.F.C."
],
[
"Mark_Noble",
"wasBornIn",
"London"
],
[
"Marlon_King",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Marlon_King",
"playsFor",
"Hull_City_A.F.C."
],
[
"Marlon_King",
"wasBornIn",
"London"
],
[
"Martin_Hayes_(footballer)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Martin_Hayes_(footballer)",
"playsFor",
"Celtic_F.C."
],
[
"Martin_Hayes_(footballer)",
"wasBornIn",
"London"
],
[
"Michael_Turner_(footballer)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Michael_Turner_(footballer)",
"playsFor",
"Hull_City_A.F.C."
],
[
"Michael_Turner_(footballer)",
"wasBornIn",
"London"
],
[
"Mick_O'Brien_(footballer_born_1893)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Mick_O'Brien_(footballer_born_1893)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Mick_O'Brien_(footballer_born_1893)",
"playsFor",
"Celtic_F.C."
],
[
"Mick_O'Brien_(footballer_born_1893)",
"playsFor",
"Hull_City_A.F.C."
],
[
"Patrick_O'Connell_(Irish_footballer)",
"diedIn",
"London"
],
[
"Patrick_O'Connell_(Irish_footballer)",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Patrick_O'Connell_(Irish_footballer)",
"playsFor",
"Hull_City_A.F.C."
],
[
"Steven_Mouyokolo",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Steven_Mouyokolo",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Steven_Mouyokolo",
"playsFor",
"Celtic_F.C."
],
[
"Steven_Mouyokolo",
"playsFor",
"Hull_City_A.F.C."
],
[
"Tony_Warner",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Tony_Warner",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Tony_Warner",
"playsFor",
"Celtic_F.C."
],
[
"Tony_Warner",
"playsFor",
"Hull_City_A.F.C."
],
[
"Willie_Buchan",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Willie_Buchan",
"isAffiliatedTo",
"Hull_City_A.F.C."
],
[
"Willie_Buchan",
"playsFor",
"Celtic_F.C."
],
[
"Willie_Buchan",
"playsFor",
"Hull_City_A.F.C."
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
104230, Adam_Smith
119012, Alex_Salmond
101596, Alexander_Graham_Bell
13718, Alexander_Macfarlane
80561, Alistair_MacLean
105387, Andy_Miah
102926, Angus_Macfadyen
77072, Arthur_Albiston
26282, Ayr_United_F.C.
680, Bruce_Douglas_(rugby_union)
50531, Chris_Sawyer
83187, Colin_Maclaurin
111542, Dave_Rogers_(footballer)
66178, David_Brewster
79655, David_Cameron
43484, David_Gill_(astronomer)
37185, Doug_Somner
35220, Eddie_Malone
107429, Edinburgh
10511, Euan_Murray
26677, George_Chrystal
3500, Gordon_Plotkin
17033, Graeme_Smith_(footballer_born_1983)
65973, Henry_McLeish
81028, James_Braid_(surgeon)
53991, James_Ivory_(mathematician)
57443, James_Mirrlees
25989, James_Watt
35428, John_Clark_(footballer_born_1964)
100532, John_Hughes_(footballer,_born_1964)
65930, John_Mackenzie_(director)
19950, Joseph_Wedderburn
84727, Kevin_James_(Scottish_footballer)
42119, Kevin_Twaddle
81904, Lewis_Fry_Richardson
94384, Liam_Buchanan
59093, Liverpool
2919, Malcolm_Robertson_(footballer)
51727, Marc_Smyth
110326, Mark_Ward_(footballer,_born_1962)
1723, Michael_Renwick
93070, Moses_Sakyi
70283, Paul_Sheerin
109945, Peter_Higgs
15709, Peter_Tait_(physicist)
60126, Robert_Burns
50573, Rod_Burstall
73823, Scotland
69626, Scott_Crabbe
61288, Steven_Boyack
74167, William_Ramsay
86229, William_Rowan_Hamilton
118104, male
src, edge_attr, dst
104230, hasGender, 118104
104230, isCitizenOf, 73823
119012, hasGender, 118104
119012, isLeaderOf, 73823
119012, isPoliticianOf, 73823
119012, livesIn, 73823
101596, hasGender, 118104
101596, isCitizenOf, 73823
13718, hasGender, 118104
13718, isCitizenOf, 73823
80561, hasGender, 118104
80561, isCitizenOf, 73823
105387, hasGender, 118104
105387, livesIn, 73823
102926, hasGender, 118104
102926, isCitizenOf, 73823
77072, hasGender, 118104
77072, isAffiliatedTo, 26282
77072, playsFor, 26282
77072, wasBornIn, 107429
26282, isLocatedIn, 73823
680, hasGender, 118104
680, isCitizenOf, 73823
50531, hasGender, 118104
50531, livesIn, 73823
83187, hasGender, 118104
83187, isCitizenOf, 73823
83187, livesIn, 73823
111542, hasGender, 118104
111542, isAffiliatedTo, 26282
111542, playsFor, 26282
111542, wasBornIn, 59093
66178, hasGender, 118104
66178, isCitizenOf, 73823
79655, hasGender, 118104
79655, isLeaderOf, 73823
43484, hasGender, 118104
43484, isCitizenOf, 73823
37185, hasGender, 118104
37185, isAffiliatedTo, 26282
37185, playsFor, 26282
37185, wasBornIn, 107429
35220, hasGender, 118104
35220, isAffiliatedTo, 26282
35220, playsFor, 26282
35220, wasBornIn, 107429
107429, isLocatedIn, 73823
10511, hasGender, 118104
10511, isCitizenOf, 73823
26677, hasGender, 118104
26677, livesIn, 73823
3500, hasGender, 118104
3500, livesIn, 73823
17033, hasGender, 118104
17033, isAffiliatedTo, 26282
17033, playsFor, 26282
17033, wasBornIn, 107429
65973, hasGender, 118104
65973, isPoliticianOf, 73823
81028, hasGender, 118104
81028, isCitizenOf, 73823
53991, hasGender, 118104
53991, isCitizenOf, 73823
57443, hasGender, 118104
57443, isCitizenOf, 73823
25989, hasGender, 118104
25989, isCitizenOf, 73823
35428, hasGender, 118104
35428, isAffiliatedTo, 26282
35428, playsFor, 26282
35428, wasBornIn, 107429
100532, hasGender, 118104
100532, isAffiliatedTo, 26282
100532, playsFor, 26282
100532, wasBornIn, 107429
65930, hasGender, 118104
65930, isCitizenOf, 73823
19950, hasGender, 118104
19950, isCitizenOf, 73823
84727, hasGender, 118104
84727, isAffiliatedTo, 26282
84727, playsFor, 26282
84727, wasBornIn, 107429
42119, hasGender, 118104
42119, isAffiliatedTo, 26282
42119, playsFor, 26282
42119, wasBornIn, 107429
81904, hasGender, 118104
81904, livesIn, 73823
94384, hasGender, 118104
94384, isAffiliatedTo, 26282
94384, playsFor, 26282
94384, wasBornIn, 107429
2919, hasGender, 118104
2919, isAffiliatedTo, 26282
2919, playsFor, 26282
2919, wasBornIn, 107429
51727, hasGender, 118104
51727, isAffiliatedTo, 26282
51727, playsFor, 26282
51727, wasBornIn, 107429
110326, hasGender, 118104
110326, isAffiliatedTo, 26282
110326, playsFor, 26282
110326, wasBornIn, 59093
1723, hasGender, 118104
1723, isAffiliatedTo, 26282
1723, playsFor, 26282
1723, wasBornIn, 107429
93070, hasGender, 118104
70283, hasGender, 118104
70283, isAffiliatedTo, 26282
70283, playsFor, 26282
70283, wasBornIn, 107429
109945, hasGender, 118104
109945, livesIn, 73823
15709, hasGender, 118104
15709, isCitizenOf, 73823
60126, hasGender, 118104
60126, isCitizenOf, 73823
50573, hasGender, 118104
50573, livesIn, 73823
73823, hasCapital, 107429
69626, hasGender, 118104
69626, isAffiliatedTo, 26282
69626, playsFor, 26282
69626, wasBornIn, 107429
61288, hasGender, 118104
61288, isAffiliatedTo, 26282
61288, playsFor, 26282
61288, wasBornIn, 107429
74167, hasGender, 118104
74167, isCitizenOf, 73823
86229, hasGender, 118104
86229, isCitizenOf, 73823
Question: In what context are Ayr_United_F.C. and Moses_Sakyi connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Ayr_United_F.C.",
"Moses_Sakyi"
],
"valid_edges": [
[
"Adam_Smith",
"hasGender",
"male"
],
[
"Adam_Smith",
"isCitizenOf",
"Scotland"
],
[
"Alex_Salmond",
"hasGender",
"male"
],
[
"Alex_Salmond",
"isLeaderOf",
"Scotland"
],
[
"Alex_Salmond",
"isPoliticianOf",
"Scotland"
],
[
"Alex_Salmond",
"livesIn",
"Scotland"
],
[
"Alexander_Graham_Bell",
"hasGender",
"male"
],
[
"Alexander_Graham_Bell",
"isCitizenOf",
"Scotland"
],
[
"Alexander_Macfarlane",
"hasGender",
"male"
],
[
"Alexander_Macfarlane",
"isCitizenOf",
"Scotland"
],
[
"Alistair_MacLean",
"hasGender",
"male"
],
[
"Alistair_MacLean",
"isCitizenOf",
"Scotland"
],
[
"Andy_Miah",
"hasGender",
"male"
],
[
"Andy_Miah",
"livesIn",
"Scotland"
],
[
"Angus_Macfadyen",
"hasGender",
"male"
],
[
"Angus_Macfadyen",
"isCitizenOf",
"Scotland"
],
[
"Arthur_Albiston",
"hasGender",
"male"
],
[
"Arthur_Albiston",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Arthur_Albiston",
"playsFor",
"Ayr_United_F.C."
],
[
"Arthur_Albiston",
"wasBornIn",
"Edinburgh"
],
[
"Ayr_United_F.C.",
"isLocatedIn",
"Scotland"
],
[
"Bruce_Douglas_(rugby_union)",
"hasGender",
"male"
],
[
"Bruce_Douglas_(rugby_union)",
"isCitizenOf",
"Scotland"
],
[
"Chris_Sawyer",
"hasGender",
"male"
],
[
"Chris_Sawyer",
"livesIn",
"Scotland"
],
[
"Colin_Maclaurin",
"hasGender",
"male"
],
[
"Colin_Maclaurin",
"isCitizenOf",
"Scotland"
],
[
"Colin_Maclaurin",
"livesIn",
"Scotland"
],
[
"Dave_Rogers_(footballer)",
"hasGender",
"male"
],
[
"Dave_Rogers_(footballer)",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Dave_Rogers_(footballer)",
"playsFor",
"Ayr_United_F.C."
],
[
"Dave_Rogers_(footballer)",
"wasBornIn",
"Liverpool"
],
[
"David_Brewster",
"hasGender",
"male"
],
[
"David_Brewster",
"isCitizenOf",
"Scotland"
],
[
"David_Cameron",
"hasGender",
"male"
],
[
"David_Cameron",
"isLeaderOf",
"Scotland"
],
[
"David_Gill_(astronomer)",
"hasGender",
"male"
],
[
"David_Gill_(astronomer)",
"isCitizenOf",
"Scotland"
],
[
"Doug_Somner",
"hasGender",
"male"
],
[
"Doug_Somner",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Doug_Somner",
"playsFor",
"Ayr_United_F.C."
],
[
"Doug_Somner",
"wasBornIn",
"Edinburgh"
],
[
"Eddie_Malone",
"hasGender",
"male"
],
[
"Eddie_Malone",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Eddie_Malone",
"playsFor",
"Ayr_United_F.C."
],
[
"Eddie_Malone",
"wasBornIn",
"Edinburgh"
],
[
"Edinburgh",
"isLocatedIn",
"Scotland"
],
[
"Euan_Murray",
"hasGender",
"male"
],
[
"Euan_Murray",
"isCitizenOf",
"Scotland"
],
[
"George_Chrystal",
"hasGender",
"male"
],
[
"George_Chrystal",
"livesIn",
"Scotland"
],
[
"Gordon_Plotkin",
"hasGender",
"male"
],
[
"Gordon_Plotkin",
"livesIn",
"Scotland"
],
[
"Graeme_Smith_(footballer_born_1983)",
"hasGender",
"male"
],
[
"Graeme_Smith_(footballer_born_1983)",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Graeme_Smith_(footballer_born_1983)",
"playsFor",
"Ayr_United_F.C."
],
[
"Graeme_Smith_(footballer_born_1983)",
"wasBornIn",
"Edinburgh"
],
[
"Henry_McLeish",
"hasGender",
"male"
],
[
"Henry_McLeish",
"isPoliticianOf",
"Scotland"
],
[
"James_Braid_(surgeon)",
"hasGender",
"male"
],
[
"James_Braid_(surgeon)",
"isCitizenOf",
"Scotland"
],
[
"James_Ivory_(mathematician)",
"hasGender",
"male"
],
[
"James_Ivory_(mathematician)",
"isCitizenOf",
"Scotland"
],
[
"James_Mirrlees",
"hasGender",
"male"
],
[
"James_Mirrlees",
"isCitizenOf",
"Scotland"
],
[
"James_Watt",
"hasGender",
"male"
],
[
"James_Watt",
"isCitizenOf",
"Scotland"
],
[
"John_Clark_(footballer_born_1964)",
"hasGender",
"male"
],
[
"John_Clark_(footballer_born_1964)",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"John_Clark_(footballer_born_1964)",
"playsFor",
"Ayr_United_F.C."
],
[
"John_Clark_(footballer_born_1964)",
"wasBornIn",
"Edinburgh"
],
[
"John_Hughes_(footballer,_born_1964)",
"hasGender",
"male"
],
[
"John_Hughes_(footballer,_born_1964)",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"John_Hughes_(footballer,_born_1964)",
"playsFor",
"Ayr_United_F.C."
],
[
"John_Hughes_(footballer,_born_1964)",
"wasBornIn",
"Edinburgh"
],
[
"John_Mackenzie_(director)",
"hasGender",
"male"
],
[
"John_Mackenzie_(director)",
"isCitizenOf",
"Scotland"
],
[
"Joseph_Wedderburn",
"hasGender",
"male"
],
[
"Joseph_Wedderburn",
"isCitizenOf",
"Scotland"
],
[
"Kevin_James_(Scottish_footballer)",
"hasGender",
"male"
],
[
"Kevin_James_(Scottish_footballer)",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Kevin_James_(Scottish_footballer)",
"playsFor",
"Ayr_United_F.C."
],
[
"Kevin_James_(Scottish_footballer)",
"wasBornIn",
"Edinburgh"
],
[
"Kevin_Twaddle",
"hasGender",
"male"
],
[
"Kevin_Twaddle",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Kevin_Twaddle",
"playsFor",
"Ayr_United_F.C."
],
[
"Kevin_Twaddle",
"wasBornIn",
"Edinburgh"
],
[
"Lewis_Fry_Richardson",
"hasGender",
"male"
],
[
"Lewis_Fry_Richardson",
"livesIn",
"Scotland"
],
[
"Liam_Buchanan",
"hasGender",
"male"
],
[
"Liam_Buchanan",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Liam_Buchanan",
"playsFor",
"Ayr_United_F.C."
],
[
"Liam_Buchanan",
"wasBornIn",
"Edinburgh"
],
[
"Malcolm_Robertson_(footballer)",
"hasGender",
"male"
],
[
"Malcolm_Robertson_(footballer)",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Malcolm_Robertson_(footballer)",
"playsFor",
"Ayr_United_F.C."
],
[
"Malcolm_Robertson_(footballer)",
"wasBornIn",
"Edinburgh"
],
[
"Marc_Smyth",
"hasGender",
"male"
],
[
"Marc_Smyth",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Marc_Smyth",
"playsFor",
"Ayr_United_F.C."
],
[
"Marc_Smyth",
"wasBornIn",
"Edinburgh"
],
[
"Mark_Ward_(footballer,_born_1962)",
"hasGender",
"male"
],
[
"Mark_Ward_(footballer,_born_1962)",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Mark_Ward_(footballer,_born_1962)",
"playsFor",
"Ayr_United_F.C."
],
[
"Mark_Ward_(footballer,_born_1962)",
"wasBornIn",
"Liverpool"
],
[
"Michael_Renwick",
"hasGender",
"male"
],
[
"Michael_Renwick",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Michael_Renwick",
"playsFor",
"Ayr_United_F.C."
],
[
"Michael_Renwick",
"wasBornIn",
"Edinburgh"
],
[
"Moses_Sakyi",
"hasGender",
"male"
],
[
"Paul_Sheerin",
"hasGender",
"male"
],
[
"Paul_Sheerin",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Paul_Sheerin",
"playsFor",
"Ayr_United_F.C."
],
[
"Paul_Sheerin",
"wasBornIn",
"Edinburgh"
],
[
"Peter_Higgs",
"hasGender",
"male"
],
[
"Peter_Higgs",
"livesIn",
"Scotland"
],
[
"Peter_Tait_(physicist)",
"hasGender",
"male"
],
[
"Peter_Tait_(physicist)",
"isCitizenOf",
"Scotland"
],
[
"Robert_Burns",
"hasGender",
"male"
],
[
"Robert_Burns",
"isCitizenOf",
"Scotland"
],
[
"Rod_Burstall",
"hasGender",
"male"
],
[
"Rod_Burstall",
"livesIn",
"Scotland"
],
[
"Scotland",
"hasCapital",
"Edinburgh"
],
[
"Scott_Crabbe",
"hasGender",
"male"
],
[
"Scott_Crabbe",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Scott_Crabbe",
"playsFor",
"Ayr_United_F.C."
],
[
"Scott_Crabbe",
"wasBornIn",
"Edinburgh"
],
[
"Steven_Boyack",
"hasGender",
"male"
],
[
"Steven_Boyack",
"isAffiliatedTo",
"Ayr_United_F.C."
],
[
"Steven_Boyack",
"playsFor",
"Ayr_United_F.C."
],
[
"Steven_Boyack",
"wasBornIn",
"Edinburgh"
],
[
"William_Ramsay",
"hasGender",
"male"
],
[
"William_Ramsay",
"isCitizenOf",
"Scotland"
],
[
"William_Rowan_Hamilton",
"hasGender",
"male"
],
[
"William_Rowan_Hamilton",
"isCitizenOf",
"Scotland"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
118228, Accra
51925, Chris_Brown
23400, Dominic_Oduro
114901, Ghana
76686, Greater_Accra_Region
52588, Hilla_Limann
10867, James_Dissiramah
30818, Jerry_Rawlings
81384, John_Dramani_Mahama
81837, Kwame_Nkrumah
98628, Prince_Nana_(footballer)
45472, University_of_Ghana
118104, male
src, edge_attr, dst
118228, isLocatedIn, 114901
118228, isLocatedIn, 76686
51925, hasGender, 118104
23400, hasGender, 118104
23400, isAffiliatedTo, 45472
23400, playsFor, 45472
23400, wasBornIn, 118228
114901, hasCapital, 118228
76686, hasCapital, 118228
76686, isLocatedIn, 114901
52588, hasGender, 118104
52588, isPoliticianOf, 114901
10867, hasGender, 118104
10867, isAffiliatedTo, 45472
10867, playsFor, 45472
10867, wasBornIn, 118228
30818, hasGender, 118104
30818, isPoliticianOf, 114901
81384, graduatedFrom, 45472
81384, hasGender, 118104
81384, isLeaderOf, 114901
81384, isPoliticianOf, 114901
81837, hasGender, 118104
81837, isPoliticianOf, 114901
98628, hasGender, 118104
98628, isAffiliatedTo, 45472
45472, isLocatedIn, 114901
45472, isLocatedIn, 76686
Question: For what reason are Chris_Brown and University_of_Ghana associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Chris_Brown",
"University_of_Ghana"
],
"valid_edges": [
[
"Accra",
"isLocatedIn",
"Ghana"
],
[
"Accra",
"isLocatedIn",
"Greater_Accra_Region"
],
[
"Chris_Brown",
"hasGender",
"male"
],
[
"Dominic_Oduro",
"hasGender",
"male"
],
[
"Dominic_Oduro",
"isAffiliatedTo",
"University_of_Ghana"
],
[
"Dominic_Oduro",
"playsFor",
"University_of_Ghana"
],
[
"Dominic_Oduro",
"wasBornIn",
"Accra"
],
[
"Ghana",
"hasCapital",
"Accra"
],
[
"Greater_Accra_Region",
"hasCapital",
"Accra"
],
[
"Greater_Accra_Region",
"isLocatedIn",
"Ghana"
],
[
"Hilla_Limann",
"hasGender",
"male"
],
[
"Hilla_Limann",
"isPoliticianOf",
"Ghana"
],
[
"James_Dissiramah",
"hasGender",
"male"
],
[
"James_Dissiramah",
"isAffiliatedTo",
"University_of_Ghana"
],
[
"James_Dissiramah",
"playsFor",
"University_of_Ghana"
],
[
"James_Dissiramah",
"wasBornIn",
"Accra"
],
[
"Jerry_Rawlings",
"hasGender",
"male"
],
[
"Jerry_Rawlings",
"isPoliticianOf",
"Ghana"
],
[
"John_Dramani_Mahama",
"graduatedFrom",
"University_of_Ghana"
],
[
"John_Dramani_Mahama",
"hasGender",
"male"
],
[
"John_Dramani_Mahama",
"isLeaderOf",
"Ghana"
],
[
"John_Dramani_Mahama",
"isPoliticianOf",
"Ghana"
],
[
"Kwame_Nkrumah",
"hasGender",
"male"
],
[
"Kwame_Nkrumah",
"isPoliticianOf",
"Ghana"
],
[
"Prince_Nana_(footballer)",
"hasGender",
"male"
],
[
"Prince_Nana_(footballer)",
"isAffiliatedTo",
"University_of_Ghana"
],
[
"University_of_Ghana",
"isLocatedIn",
"Ghana"
],
[
"University_of_Ghana",
"isLocatedIn",
"Greater_Accra_Region"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
97117, Bryn_Mawr_College
20001, Jane_Dammen_McAuliffe
22836, Ontario
110171, Rogers_Communications
74240, University_of_Toronto
src, edge_attr, dst
20001, graduatedFrom, 74240
20001, worksAt, 97117
20001, worksAt, 74240
110171, isLocatedIn, 22836
74240, isLocatedIn, 22836
Question: How are Bryn_Mawr_College and Rogers_Communications related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Bryn_Mawr_College",
"Rogers_Communications"
],
"valid_edges": [
[
"Jane_Dammen_McAuliffe",
"graduatedFrom",
"University_of_Toronto"
],
[
"Jane_Dammen_McAuliffe",
"worksAt",
"Bryn_Mawr_College"
],
[
"Jane_Dammen_McAuliffe",
"worksAt",
"University_of_Toronto"
],
[
"Rogers_Communications",
"isLocatedIn",
"Ontario"
],
[
"University_of_Toronto",
"isLocatedIn",
"Ontario"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
88804, Burlington,_Wisconsin
80212, Lyudmyla_Pekur
92027, Tammy_Baldwin
90384, Wisconsin
80384, female
src, edge_attr, dst
88804, isLocatedIn, 90384
80212, hasGender, 80384
92027, hasGender, 80384
92027, livesIn, 90384
Question: For what reason are Burlington,_Wisconsin and Lyudmyla_Pekur associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Burlington,_Wisconsin",
"Lyudmyla_Pekur"
],
"valid_edges": [
[
"Burlington,_Wisconsin",
"isLocatedIn",
"Wisconsin"
],
[
"Lyudmyla_Pekur",
"hasGender",
"female"
],
[
"Tammy_Baldwin",
"hasGender",
"female"
],
[
"Tammy_Baldwin",
"livesIn",
"Wisconsin"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
30909, Adrián_Fernández_(footballer)
7323, Alan_Kardec
85238, André_Almeida
54623, André_Gomes
49533, António_Pedro_de_Brito_Lopes
46157, Beth_Edmonds
954, Bijou_(footballer)
46884, Bruno_Aguiar
74892, Bruno_Costa
101577, Bruno_Simão
44595, Carlos_Jorge_Neto_Martins
91541, Daniel_Candeias
22425, Daniel_Mladenov
53930, David_Simão
96776, Diogo_Miguel_Alves_Luís
106543, Djalma_Henrique_da_Silva
65167, Eduardo_Simões
100819, Erwin_Sánchez
71403, Eurico_Gomes
86976, Evelyn_de_Mille
79597, F.C._Paços_de_Ferreira
28172, Fernando_Alexandre
89872, Fernando_Chalana
123015, Georgi_Andonov
97119, Georgi_Bozhilov
472, Geraldo_Alves
116121, Gilberto_Galdino_dos_Santos
11306, Gustavo_Manduca
112493, Hugo_Porfírio
17042, Hélder_Cristóvão
2635, Hélio_Pinto
122671, Hélio_Roque
70868, Ilian_Iliev
40051, Inzaghi_Donígio
114880, J._K._Rowling
97098, Jane_Branstetter_Stranch
28928, Joan_of_Arc
61683, Jonathan_Urretaviscaya
108735, Jorge_Ribeiro
23445, José_Fonte
102932, José_Manuel_Barbosa_Alves
16527, José_Moreira
23935, José_Tavares
35458, João_Coimbra
3516, João_Pereira_(Portuguese_footballer)
97457, João_Vilela
101937, Kevin_Amuneke
32409, Kosta_Yanev
56574, Leandro_Pimenta
64860, Lionel_Carole
33740, Lorenzo_Melgarejo
27349, Luisa_de_Guzmán
122506, Luís_Andrade
113746, Luís_Carlos_Correia_Pinto
42137, Luís_Martins
47620, Luís_Zambujo
121715, Lúcio_Wagner
113403, Manuel_Curto
55271, Manuel_José_de_Jesus
23690, Marco_Ferreira
97180, Marco_Paulo_Faria_Lemos
84484, Marin_Petrov
97890, Michel_Souza_da_Silva
64837, Miguel_Lopes
81781, Miguel_Vítor
119310, Nicolás_Canales
43638, Nikola_Spasov
20939, Nuno_Afonso
98196, Nélson_Oliveira
64647, Nélson_Veríssimo
47972, PFC_Cherno_More_Varna
60265, PSFC_Chernomorets_Burgas
53997, Paulo_Almeida
50923, Pizzi_(Portuguese_footballer)
52977, Plamen_Kolev
112319, Radoslav_Zdravkov
4826, Raul_Águas
73843, Ricardo_André
49366, Ricardo_Campos
97206, Ricardo_Esteves
67552, Ricardo_Janota
103562, Ricardo_Nunes
47760, Roderick_Miranda
5609, Rogelio_Funes_Mori
119553, Rui_Fonte
58116, Rui_Miguel_Rodrigues
44869, Rui_Nereu
3865, S.L._Benfica
30266, S.L._Benfica_B
60631, Sidnei_(footballer_born_1989)
67730, Steven_Vitória
58419, Tiago_Costa
57368, Tiago_Henrique_Damil_Gomes
76866, Todor_Palankov
87359, Toy_(footballer_born_1977)
54475, Vivian_Rich
80384, female
29807, Đỗ_Thị_Ngân_Thương
src, edge_attr, dst
30909, isAffiliatedTo, 47972
30909, isAffiliatedTo, 60265
30909, playsFor, 47972
30909, playsFor, 60265
7323, isAffiliatedTo, 3865
7323, isAffiliatedTo, 30266
7323, playsFor, 3865
7323, playsFor, 30266
85238, isAffiliatedTo, 3865
85238, playsFor, 3865
85238, playsFor, 30266
54623, isAffiliatedTo, 3865
54623, playsFor, 3865
54623, playsFor, 30266
49533, isAffiliatedTo, 3865
49533, isAffiliatedTo, 30266
49533, playsFor, 3865
49533, playsFor, 30266
46157, hasGender, 80384
46157, playsFor, 3865
954, isAffiliatedTo, 3865
954, isAffiliatedTo, 30266
954, playsFor, 3865
954, playsFor, 30266
46884, isAffiliatedTo, 3865
46884, isAffiliatedTo, 30266
46884, playsFor, 3865
46884, playsFor, 30266
74892, isAffiliatedTo, 3865
74892, isAffiliatedTo, 30266
74892, playsFor, 3865
74892, playsFor, 30266
101577, isAffiliatedTo, 3865
101577, isAffiliatedTo, 30266
101577, playsFor, 3865
101577, playsFor, 30266
44595, isAffiliatedTo, 3865
44595, isAffiliatedTo, 30266
44595, playsFor, 3865
44595, playsFor, 30266
91541, isAffiliatedTo, 79597
91541, isAffiliatedTo, 3865
91541, playsFor, 79597
91541, playsFor, 3865
22425, isAffiliatedTo, 47972
22425, isAffiliatedTo, 60265
22425, playsFor, 47972
22425, playsFor, 60265
53930, isAffiliatedTo, 79597
53930, isAffiliatedTo, 3865
53930, playsFor, 79597
53930, playsFor, 3865
96776, playsFor, 3865
96776, playsFor, 30266
106543, isAffiliatedTo, 79597
106543, isAffiliatedTo, 47972
106543, playsFor, 79597
106543, playsFor, 47972
65167, isAffiliatedTo, 3865
65167, isAffiliatedTo, 30266
65167, playsFor, 3865
65167, playsFor, 30266
100819, isAffiliatedTo, 3865
100819, isAffiliatedTo, 30266
100819, playsFor, 3865
100819, playsFor, 30266
71403, isAffiliatedTo, 79597
71403, isAffiliatedTo, 3865
71403, playsFor, 3865
86976, hasGender, 80384
86976, playsFor, 47972
86976, playsFor, 3865
28172, playsFor, 3865
28172, playsFor, 30266
89872, isAffiliatedTo, 79597
89872, isAffiliatedTo, 3865
89872, playsFor, 3865
123015, isAffiliatedTo, 47972
123015, isAffiliatedTo, 60265
123015, playsFor, 47972
123015, playsFor, 60265
97119, isAffiliatedTo, 47972
97119, isAffiliatedTo, 60265
97119, playsFor, 47972
97119, playsFor, 60265
472, isAffiliatedTo, 79597
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Question: How are Ricardo_André and Vivian_Rich related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
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"Vivian_Rich"
],
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[
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"PSFC_Chernomorets_Burgas"
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[
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[
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"José_Tavares",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"José_Tavares",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"José_Tavares",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"José_Tavares",
"playsFor",
"S.L._Benfica"
],
[
"João_Coimbra",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"João_Coimbra",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"João_Coimbra",
"playsFor",
"S.L._Benfica"
],
[
"João_Coimbra",
"playsFor",
"S.L._Benfica_B"
],
[
"João_Pereira_(Portuguese_footballer)",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"João_Pereira_(Portuguese_footballer)",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"João_Pereira_(Portuguese_footballer)",
"playsFor",
"S.L._Benfica"
],
[
"João_Pereira_(Portuguese_footballer)",
"playsFor",
"S.L._Benfica_B"
],
[
"João_Vilela",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"João_Vilela",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"João_Vilela",
"playsFor",
"S.L._Benfica_B"
],
[
"Kevin_Amuneke",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Kevin_Amuneke",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Kevin_Amuneke",
"playsFor",
"S.L._Benfica_B"
],
[
"Kosta_Yanev",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Kosta_Yanev",
"isAffiliatedTo",
"PSFC_Chernomorets_Burgas"
],
[
"Kosta_Yanev",
"playsFor",
"PFC_Cherno_More_Varna"
],
[
"Kosta_Yanev",
"playsFor",
"PSFC_Chernomorets_Burgas"
],
[
"Leandro_Pimenta",
"playsFor",
"S.L._Benfica"
],
[
"Leandro_Pimenta",
"playsFor",
"S.L._Benfica_B"
],
[
"Lionel_Carole",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Lionel_Carole",
"playsFor",
"S.L._Benfica"
],
[
"Lionel_Carole",
"playsFor",
"S.L._Benfica_B"
],
[
"Lorenzo_Melgarejo",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Lorenzo_Melgarejo",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Lorenzo_Melgarejo",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Lorenzo_Melgarejo",
"playsFor",
"S.L._Benfica"
],
[
"Lorenzo_Melgarejo",
"playsFor",
"S.L._Benfica_B"
],
[
"Luisa_de_Guzmán",
"hasGender",
"female"
],
[
"Luisa_de_Guzmán",
"playsFor",
"S.L._Benfica"
],
[
"Luisa_de_Guzmán",
"playsFor",
"S.L._Benfica_B"
],
[
"Luís_Andrade",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Luís_Andrade",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Luís_Andrade",
"playsFor",
"S.L._Benfica"
],
[
"Luís_Andrade",
"playsFor",
"S.L._Benfica_B"
],
[
"Luís_Carlos_Correia_Pinto",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Luís_Carlos_Correia_Pinto",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Luís_Carlos_Correia_Pinto",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Luís_Carlos_Correia_Pinto",
"playsFor",
"S.L._Benfica"
],
[
"Luís_Martins",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Luís_Martins",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Luís_Martins",
"playsFor",
"S.L._Benfica"
],
[
"Luís_Martins",
"playsFor",
"S.L._Benfica_B"
],
[
"Luís_Zambujo",
"playsFor",
"S.L._Benfica"
],
[
"Luís_Zambujo",
"playsFor",
"S.L._Benfica_B"
],
[
"Lúcio_Wagner",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Lúcio_Wagner",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Lúcio_Wagner",
"playsFor",
"PFC_Cherno_More_Varna"
],
[
"Lúcio_Wagner",
"playsFor",
"S.L._Benfica"
],
[
"Manuel_Curto",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Manuel_Curto",
"playsFor",
"S.L._Benfica"
],
[
"Manuel_Curto",
"playsFor",
"S.L._Benfica_B"
],
[
"Manuel_José_de_Jesus",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Manuel_José_de_Jesus",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Manuel_José_de_Jesus",
"playsFor",
"S.L._Benfica"
],
[
"Manuel_José_de_Jesus",
"playsFor",
"S.L._Benfica_B"
],
[
"Marco_Ferreira",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Marco_Ferreira",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Marco_Ferreira",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Marco_Ferreira",
"playsFor",
"S.L._Benfica"
],
[
"Marco_Paulo_Faria_Lemos",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Marco_Paulo_Faria_Lemos",
"playsFor",
"S.L._Benfica"
],
[
"Marin_Petrov",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Marin_Petrov",
"isAffiliatedTo",
"PSFC_Chernomorets_Burgas"
],
[
"Marin_Petrov",
"playsFor",
"PFC_Cherno_More_Varna"
],
[
"Marin_Petrov",
"playsFor",
"PSFC_Chernomorets_Burgas"
],
[
"Michel_Souza_da_Silva",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Michel_Souza_da_Silva",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Michel_Souza_da_Silva",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Michel_Souza_da_Silva",
"playsFor",
"S.L._Benfica"
],
[
"Miguel_Lopes",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Miguel_Lopes",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Miguel_Lopes",
"playsFor",
"S.L._Benfica_B"
],
[
"Miguel_Vítor",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Miguel_Vítor",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Miguel_Vítor",
"playsFor",
"S.L._Benfica"
],
[
"Miguel_Vítor",
"playsFor",
"S.L._Benfica_B"
],
[
"Nicolás_Canales",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Nicolás_Canales",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Nicolás_Canales",
"playsFor",
"S.L._Benfica_B"
],
[
"Nikola_Spasov",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Nikola_Spasov",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Nikola_Spasov",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Nikola_Spasov",
"playsFor",
"PFC_Cherno_More_Varna"
],
[
"Nuno_Afonso",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Nuno_Afonso",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Nélson_Oliveira",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Nélson_Oliveira",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Nélson_Veríssimo",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Nélson_Veríssimo",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Nélson_Veríssimo",
"playsFor",
"S.L._Benfica"
],
[
"Paulo_Almeida",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Paulo_Almeida",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Paulo_Almeida",
"playsFor",
"S.L._Benfica"
],
[
"Paulo_Almeida",
"playsFor",
"S.L._Benfica_B"
],
[
"Pizzi_(Portuguese_footballer)",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Pizzi_(Portuguese_footballer)",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Pizzi_(Portuguese_footballer)",
"playsFor",
"S.L._Benfica"
],
[
"Plamen_Kolev",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Plamen_Kolev",
"isAffiliatedTo",
"PSFC_Chernomorets_Burgas"
],
[
"Plamen_Kolev",
"playsFor",
"PFC_Cherno_More_Varna"
],
[
"Plamen_Kolev",
"playsFor",
"PSFC_Chernomorets_Burgas"
],
[
"Radoslav_Zdravkov",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Radoslav_Zdravkov",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Radoslav_Zdravkov",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Raul_Águas",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Raul_Águas",
"playsFor",
"S.L._Benfica"
],
[
"Ricardo_André",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Ricardo_André",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Ricardo_André",
"isAffiliatedTo",
"PSFC_Chernomorets_Burgas"
],
[
"Ricardo_André",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Ricardo_André",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Ricardo_André",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Ricardo_André",
"playsFor",
"PFC_Cherno_More_Varna"
],
[
"Ricardo_André",
"playsFor",
"PSFC_Chernomorets_Burgas"
],
[
"Ricardo_André",
"playsFor",
"S.L._Benfica"
],
[
"Ricardo_André",
"playsFor",
"S.L._Benfica_B"
],
[
"Ricardo_Campos",
"playsFor",
"S.L._Benfica"
],
[
"Ricardo_Campos",
"playsFor",
"S.L._Benfica_B"
],
[
"Ricardo_Esteves",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Ricardo_Esteves",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Ricardo_Esteves",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Ricardo_Esteves",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Ricardo_Esteves",
"playsFor",
"S.L._Benfica"
],
[
"Ricardo_Esteves",
"playsFor",
"S.L._Benfica_B"
],
[
"Ricardo_Janota",
"playsFor",
"S.L._Benfica"
],
[
"Ricardo_Janota",
"playsFor",
"S.L._Benfica_B"
],
[
"Ricardo_Nunes",
"playsFor",
"S.L._Benfica"
],
[
"Ricardo_Nunes",
"playsFor",
"S.L._Benfica_B"
],
[
"Roderick_Miranda",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Roderick_Miranda",
"playsFor",
"S.L._Benfica"
],
[
"Roderick_Miranda",
"playsFor",
"S.L._Benfica_B"
],
[
"Rogelio_Funes_Mori",
"playsFor",
"S.L._Benfica"
],
[
"Rogelio_Funes_Mori",
"playsFor",
"S.L._Benfica_B"
],
[
"Rui_Fonte",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Rui_Fonte",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Rui_Fonte",
"playsFor",
"S.L._Benfica_B"
],
[
"Rui_Miguel_Rodrigues",
"isAffiliatedTo",
"F.C._Paços_de_Ferreira"
],
[
"Rui_Miguel_Rodrigues",
"playsFor",
"F.C._Paços_de_Ferreira"
],
[
"Rui_Miguel_Rodrigues",
"playsFor",
"S.L._Benfica"
],
[
"Rui_Nereu",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Rui_Nereu",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Rui_Nereu",
"playsFor",
"S.L._Benfica"
],
[
"Rui_Nereu",
"playsFor",
"S.L._Benfica_B"
],
[
"S.L._Benfica",
"owns",
"S.L._Benfica_B"
],
[
"Sidnei_(footballer_born_1989)",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Sidnei_(footballer_born_1989)",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Sidnei_(footballer_born_1989)",
"playsFor",
"S.L._Benfica"
],
[
"Sidnei_(footballer_born_1989)",
"playsFor",
"S.L._Benfica_B"
],
[
"Steven_Vitória",
"playsFor",
"S.L._Benfica"
],
[
"Steven_Vitória",
"playsFor",
"S.L._Benfica_B"
],
[
"Tiago_Costa",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Tiago_Costa",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Tiago_Costa",
"playsFor",
"S.L._Benfica_B"
],
[
"Tiago_Henrique_Damil_Gomes",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Tiago_Henrique_Damil_Gomes",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Tiago_Henrique_Damil_Gomes",
"playsFor",
"S.L._Benfica"
],
[
"Tiago_Henrique_Damil_Gomes",
"playsFor",
"S.L._Benfica_B"
],
[
"Todor_Palankov",
"isAffiliatedTo",
"PFC_Cherno_More_Varna"
],
[
"Todor_Palankov",
"isAffiliatedTo",
"PSFC_Chernomorets_Burgas"
],
[
"Todor_Palankov",
"playsFor",
"PFC_Cherno_More_Varna"
],
[
"Todor_Palankov",
"playsFor",
"PSFC_Chernomorets_Burgas"
],
[
"Toy_(footballer_born_1977)",
"isAffiliatedTo",
"S.L._Benfica"
],
[
"Toy_(footballer_born_1977)",
"isAffiliatedTo",
"S.L._Benfica_B"
],
[
"Toy_(footballer_born_1977)",
"playsFor",
"S.L._Benfica"
],
[
"Toy_(footballer_born_1977)",
"playsFor",
"S.L._Benfica_B"
],
[
"Vivian_Rich",
"hasGender",
"female"
],
[
"Đỗ_Thị_Ngân_Thương",
"hasGender",
"female"
],
[
"Đỗ_Thị_Ngân_Thương",
"playsFor",
"S.L._Benfica"
],
[
"Đỗ_Thị_Ngân_Thương",
"playsFor",
"S.L._Benfica_B"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
105637, Delhi
89823, India
25908, Samajwadi_Party
43159, South_Haven,_Michigan
29157, United_States
src, edge_attr, dst
105637, isLocatedIn, 89823
89823, dealsWith, 29157
89823, hasCapital, 105637
25908, isLocatedIn, 105637
43159, isLocatedIn, 29157
Question: For what reason are Samajwadi_Party and South_Haven,_Michigan associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Samajwadi_Party",
"South_Haven,_Michigan"
],
"valid_edges": [
[
"Delhi",
"isLocatedIn",
"India"
],
[
"India",
"dealsWith",
"United_States"
],
[
"India",
"hasCapital",
"Delhi"
],
[
"Samajwadi_Party",
"isLocatedIn",
"Delhi"
],
[
"South_Haven,_Michigan",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
89823, India
119980, Mayilsamy
115622, Nenjil_Jil_Jil
84719, Shel_Silverstein
29157, United_States
66263, Whistle_(2003_film)
src, edge_attr, dst
89823, dealsWith, 29157
119980, actedIn, 115622
119980, actedIn, 66263
115622, isLocatedIn, 89823
84719, isCitizenOf, 29157
66263, isLocatedIn, 89823
Question: In what context are Mayilsamy and Shel_Silverstein connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Mayilsamy",
"Shel_Silverstein"
],
"valid_edges": [
[
"India",
"dealsWith",
"United_States"
],
[
"Mayilsamy",
"actedIn",
"Nenjil_Jil_Jil"
],
[
"Mayilsamy",
"actedIn",
"Whistle_(2003_film)"
],
[
"Nenjil_Jil_Jil",
"isLocatedIn",
"India"
],
[
"Shel_Silverstein",
"isCitizenOf",
"United_States"
],
[
"Whistle_(2003_film)",
"isLocatedIn",
"India"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
79925, Appalachian_Mountains
96245, Caledonia_County,_Vermont
32169, Pennsylvania
15, Saint_Lawrence_River
39159, Sullivan_County,_Pennsylvania
55819, U.S._Route_6
6847, Vermont
src, edge_attr, dst
79925, isLocatedIn, 32169
79925, isLocatedIn, 6847
96245, isLocatedIn, 6847
15, isLocatedIn, 32169
15, isLocatedIn, 6847
39159, isLocatedIn, 32169
55819, isLocatedIn, 32169
55819, isLocatedIn, 6847
Question: For what reason are Caledonia_County,_Vermont and Sullivan_County,_Pennsylvania associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Caledonia_County,_Vermont",
"Sullivan_County,_Pennsylvania"
],
"valid_edges": [
[
"Appalachian_Mountains",
"isLocatedIn",
"Pennsylvania"
],
[
"Appalachian_Mountains",
"isLocatedIn",
"Vermont"
],
[
"Caledonia_County,_Vermont",
"isLocatedIn",
"Vermont"
],
[
"Saint_Lawrence_River",
"isLocatedIn",
"Pennsylvania"
],
[
"Saint_Lawrence_River",
"isLocatedIn",
"Vermont"
],
[
"Sullivan_County,_Pennsylvania",
"isLocatedIn",
"Pennsylvania"
],
[
"U.S._Route_6",
"isLocatedIn",
"Pennsylvania"
],
[
"U.S._Route_6",
"isLocatedIn",
"Vermont"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
74542, Aleksander_Fredro
25702, Aleksander_Jabłoński
53208, Aleksander_Kwaśniewski
73600, Aleksander_Prystor
28459, Anatol_Stern
71189, Andrzej_Mostowski
42478, Antoni_Malczewski
121651, Antoni_Zygmund
116881, Artur_Ekert
38872, Benoit_Mandelbrot
91074, Boguszów-Gorce
96826, Bolesław_Bierut
89853, Bolesław_Prus
110673, Bolesław_Wieniawa-Długoszowski
101698, Bronisław_Komorowski
116575, Cezary_Trybański
7027, Donald_Tusk
68928, Edward_Gierek
48593, Franciszek_Ksawery_Drucki-Lubecki
108843, Grzegorz_Schetyna
19075, Henryk_Jabłoński
97014, Hugo_Steinhaus
93710, Ignacy_Mościcki
49225, Ivan_Śleszyński
631, Jacek_Kuroń
3182, Jan_Mikulicz-Radecki
76602, Janusz_Jędrzejewicz
59494, Jarosław_Kaczyński
100894, Jerzy_Buzek
86342, John_Maurice_Hauke
87368, Josef_Herzig
88323, Joseph_Rotblat
81984, Józef_Cyrankiewicz
44134, Józef_Gosławski_(sculptor)
62427, Józef_Haller
42501, Józef_Piłsudski
89132, Kazimierz_Marcinkiewicz
110555, Kevin_Hartman
34855, Krzysztof_Matyjaszewski
6355, Lech_Kaczyński
86182, Lech_Wałęsa
119655, Leonid_Hurwicz
21054, Leopold_Infeld
373, Leszek_Miller
111739, Lucjan_Żeligowski
34152, Marek_Belka
42064, Marian_Spychalski
112347, Michał_Waszyński
69710, Mieczysław_Rakowski
108651, Oskar_R._Lange
67382, Paul_Erdős
6049, Piotr_Jaroszewicz
59225, Poland
22754, Radosław_Sikorski
103797, Roald_Hoffmann
65600, Ryszard_Syski
62730, Samuel_Karlin
57573, Stanislaw_Ulam
101281, Stanisław_Lem
1606, Stanisław_Mackiewicz
7676, Stanisław_Ostrowski
54829, Stanisław_Wojciechowski
107152, Stefan_Mazurkiewicz
38410, Tadeusz_Mazowiecki
22258, Waldemar_Pawlak
30259, Witold_Gombrowicz
120174, Wojciech_Jaruzelski
19790, Władysław_Gomułka
8915, Władysław_Sikorski
105391, Włodzimierz_Cimoszewicz
120252, Xawery_Dunikowski
25562, Yaniv_Green
21301, Zbigniew_Herbert
79692, Zbigniew_Messner
118104, male
src, edge_attr, dst
74542, hasGender, 118104
74542, isCitizenOf, 59225
25702, hasGender, 118104
25702, isCitizenOf, 59225
25702, livesIn, 59225
53208, hasGender, 118104
53208, isPoliticianOf, 59225
73600, hasGender, 118104
73600, isPoliticianOf, 59225
28459, hasGender, 118104
28459, isCitizenOf, 59225
71189, hasGender, 118104
71189, isCitizenOf, 59225
42478, hasGender, 118104
42478, isCitizenOf, 59225
121651, hasGender, 118104
121651, isCitizenOf, 59225
116881, hasGender, 118104
116881, isCitizenOf, 59225
38872, hasGender, 118104
38872, livesIn, 59225
91074, isLocatedIn, 59225
96826, hasGender, 118104
96826, isPoliticianOf, 59225
89853, hasGender, 118104
89853, isCitizenOf, 59225
110673, hasGender, 118104
110673, isCitizenOf, 59225
110673, isPoliticianOf, 59225
101698, hasGender, 118104
101698, isLeaderOf, 59225
101698, isPoliticianOf, 59225
116575, hasGender, 118104
116575, isCitizenOf, 59225
7027, hasGender, 118104
7027, isLeaderOf, 59225
7027, isPoliticianOf, 59225
68928, hasGender, 118104
68928, isCitizenOf, 59225
48593, hasGender, 118104
48593, isPoliticianOf, 59225
108843, hasGender, 118104
108843, isPoliticianOf, 59225
19075, hasGender, 118104
19075, isCitizenOf, 59225
19075, isPoliticianOf, 59225
97014, hasGender, 118104
97014, isCitizenOf, 59225
97014, livesIn, 59225
93710, hasGender, 118104
93710, isPoliticianOf, 59225
49225, hasGender, 118104
49225, isCitizenOf, 59225
631, hasGender, 118104
631, isPoliticianOf, 59225
3182, hasGender, 118104
3182, isCitizenOf, 59225
76602, hasGender, 118104
76602, isPoliticianOf, 59225
59494, hasGender, 118104
59494, isPoliticianOf, 59225
100894, hasGender, 118104
100894, isPoliticianOf, 59225
86342, hasGender, 118104
86342, isPoliticianOf, 59225
87368, hasGender, 118104
87368, isCitizenOf, 59225
88323, hasGender, 118104
88323, isCitizenOf, 59225
81984, hasGender, 118104
81984, isPoliticianOf, 59225
44134, hasGender, 118104
44134, isCitizenOf, 59225
62427, hasGender, 118104
62427, isPoliticianOf, 59225
42501, hasGender, 118104
42501, isPoliticianOf, 59225
89132, hasGender, 118104
89132, isPoliticianOf, 59225
110555, hasGender, 118104
34855, hasGender, 118104
34855, isCitizenOf, 59225
6355, hasGender, 118104
6355, isPoliticianOf, 59225
86182, hasGender, 118104
86182, isPoliticianOf, 59225
119655, hasGender, 118104
119655, isCitizenOf, 59225
21054, hasGender, 118104
21054, isCitizenOf, 59225
21054, livesIn, 59225
373, hasGender, 118104
373, isPoliticianOf, 59225
111739, hasGender, 118104
111739, isCitizenOf, 59225
34152, hasGender, 118104
34152, isPoliticianOf, 59225
42064, hasGender, 118104
42064, isPoliticianOf, 59225
112347, hasGender, 118104
112347, isCitizenOf, 59225
69710, hasGender, 118104
69710, isPoliticianOf, 59225
108651, hasGender, 118104
108651, isCitizenOf, 59225
67382, hasGender, 118104
67382, isCitizenOf, 59225
6049, hasGender, 118104
6049, isPoliticianOf, 59225
22754, hasGender, 118104
22754, isPoliticianOf, 59225
103797, hasGender, 118104
103797, isCitizenOf, 59225
65600, hasGender, 118104
65600, livesIn, 59225
62730, hasGender, 118104
62730, isCitizenOf, 59225
57573, hasGender, 118104
57573, isCitizenOf, 59225
101281, hasGender, 118104
101281, isCitizenOf, 59225
1606, hasGender, 118104
1606, isPoliticianOf, 59225
7676, hasGender, 118104
7676, isCitizenOf, 59225
7676, isPoliticianOf, 59225
54829, hasGender, 118104
54829, isPoliticianOf, 59225
107152, hasGender, 118104
107152, isCitizenOf, 59225
38410, hasGender, 118104
38410, isPoliticianOf, 59225
22258, hasGender, 118104
22258, isPoliticianOf, 59225
30259, hasGender, 118104
30259, isCitizenOf, 59225
120174, hasGender, 118104
120174, isPoliticianOf, 59225
19790, hasGender, 118104
19790, isCitizenOf, 59225
19790, isPoliticianOf, 59225
8915, hasGender, 118104
8915, isPoliticianOf, 59225
105391, hasGender, 118104
105391, isPoliticianOf, 59225
120252, hasGender, 118104
120252, isCitizenOf, 59225
25562, hasGender, 118104
25562, isCitizenOf, 59225
21301, hasGender, 118104
21301, isCitizenOf, 59225
79692, hasGender, 118104
79692, isPoliticianOf, 59225
Question: For what reason are Boguszów-Gorce and Kevin_Hartman associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Boguszów-Gorce",
"Kevin_Hartman"
],
"valid_edges": [
[
"Aleksander_Fredro",
"hasGender",
"male"
],
[
"Aleksander_Fredro",
"isCitizenOf",
"Poland"
],
[
"Aleksander_Jabłoński",
"hasGender",
"male"
],
[
"Aleksander_Jabłoński",
"isCitizenOf",
"Poland"
],
[
"Aleksander_Jabłoński",
"livesIn",
"Poland"
],
[
"Aleksander_Kwaśniewski",
"hasGender",
"male"
],
[
"Aleksander_Kwaśniewski",
"isPoliticianOf",
"Poland"
],
[
"Aleksander_Prystor",
"hasGender",
"male"
],
[
"Aleksander_Prystor",
"isPoliticianOf",
"Poland"
],
[
"Anatol_Stern",
"hasGender",
"male"
],
[
"Anatol_Stern",
"isCitizenOf",
"Poland"
],
[
"Andrzej_Mostowski",
"hasGender",
"male"
],
[
"Andrzej_Mostowski",
"isCitizenOf",
"Poland"
],
[
"Antoni_Malczewski",
"hasGender",
"male"
],
[
"Antoni_Malczewski",
"isCitizenOf",
"Poland"
],
[
"Antoni_Zygmund",
"hasGender",
"male"
],
[
"Antoni_Zygmund",
"isCitizenOf",
"Poland"
],
[
"Artur_Ekert",
"hasGender",
"male"
],
[
"Artur_Ekert",
"isCitizenOf",
"Poland"
],
[
"Benoit_Mandelbrot",
"hasGender",
"male"
],
[
"Benoit_Mandelbrot",
"livesIn",
"Poland"
],
[
"Boguszów-Gorce",
"isLocatedIn",
"Poland"
],
[
"Bolesław_Bierut",
"hasGender",
"male"
],
[
"Bolesław_Bierut",
"isPoliticianOf",
"Poland"
],
[
"Bolesław_Prus",
"hasGender",
"male"
],
[
"Bolesław_Prus",
"isCitizenOf",
"Poland"
],
[
"Bolesław_Wieniawa-Długoszowski",
"hasGender",
"male"
],
[
"Bolesław_Wieniawa-Długoszowski",
"isCitizenOf",
"Poland"
],
[
"Bolesław_Wieniawa-Długoszowski",
"isPoliticianOf",
"Poland"
],
[
"Bronisław_Komorowski",
"hasGender",
"male"
],
[
"Bronisław_Komorowski",
"isLeaderOf",
"Poland"
],
[
"Bronisław_Komorowski",
"isPoliticianOf",
"Poland"
],
[
"Cezary_Trybański",
"hasGender",
"male"
],
[
"Cezary_Trybański",
"isCitizenOf",
"Poland"
],
[
"Donald_Tusk",
"hasGender",
"male"
],
[
"Donald_Tusk",
"isLeaderOf",
"Poland"
],
[
"Donald_Tusk",
"isPoliticianOf",
"Poland"
],
[
"Edward_Gierek",
"hasGender",
"male"
],
[
"Edward_Gierek",
"isCitizenOf",
"Poland"
],
[
"Franciszek_Ksawery_Drucki-Lubecki",
"hasGender",
"male"
],
[
"Franciszek_Ksawery_Drucki-Lubecki",
"isPoliticianOf",
"Poland"
],
[
"Grzegorz_Schetyna",
"hasGender",
"male"
],
[
"Grzegorz_Schetyna",
"isPoliticianOf",
"Poland"
],
[
"Henryk_Jabłoński",
"hasGender",
"male"
],
[
"Henryk_Jabłoński",
"isCitizenOf",
"Poland"
],
[
"Henryk_Jabłoński",
"isPoliticianOf",
"Poland"
],
[
"Hugo_Steinhaus",
"hasGender",
"male"
],
[
"Hugo_Steinhaus",
"isCitizenOf",
"Poland"
],
[
"Hugo_Steinhaus",
"livesIn",
"Poland"
],
[
"Ignacy_Mościcki",
"hasGender",
"male"
],
[
"Ignacy_Mościcki",
"isPoliticianOf",
"Poland"
],
[
"Ivan_Śleszyński",
"hasGender",
"male"
],
[
"Ivan_Śleszyński",
"isCitizenOf",
"Poland"
],
[
"Jacek_Kuroń",
"hasGender",
"male"
],
[
"Jacek_Kuroń",
"isPoliticianOf",
"Poland"
],
[
"Jan_Mikulicz-Radecki",
"hasGender",
"male"
],
[
"Jan_Mikulicz-Radecki",
"isCitizenOf",
"Poland"
],
[
"Janusz_Jędrzejewicz",
"hasGender",
"male"
],
[
"Janusz_Jędrzejewicz",
"isPoliticianOf",
"Poland"
],
[
"Jarosław_Kaczyński",
"hasGender",
"male"
],
[
"Jarosław_Kaczyński",
"isPoliticianOf",
"Poland"
],
[
"Jerzy_Buzek",
"hasGender",
"male"
],
[
"Jerzy_Buzek",
"isPoliticianOf",
"Poland"
],
[
"John_Maurice_Hauke",
"hasGender",
"male"
],
[
"John_Maurice_Hauke",
"isPoliticianOf",
"Poland"
],
[
"Josef_Herzig",
"hasGender",
"male"
],
[
"Josef_Herzig",
"isCitizenOf",
"Poland"
],
[
"Joseph_Rotblat",
"hasGender",
"male"
],
[
"Joseph_Rotblat",
"isCitizenOf",
"Poland"
],
[
"Józef_Cyrankiewicz",
"hasGender",
"male"
],
[
"Józef_Cyrankiewicz",
"isPoliticianOf",
"Poland"
],
[
"Józef_Gosławski_(sculptor)",
"hasGender",
"male"
],
[
"Józef_Gosławski_(sculptor)",
"isCitizenOf",
"Poland"
],
[
"Józef_Haller",
"hasGender",
"male"
],
[
"Józef_Haller",
"isPoliticianOf",
"Poland"
],
[
"Józef_Piłsudski",
"hasGender",
"male"
],
[
"Józef_Piłsudski",
"isPoliticianOf",
"Poland"
],
[
"Kazimierz_Marcinkiewicz",
"hasGender",
"male"
],
[
"Kazimierz_Marcinkiewicz",
"isPoliticianOf",
"Poland"
],
[
"Kevin_Hartman",
"hasGender",
"male"
],
[
"Krzysztof_Matyjaszewski",
"hasGender",
"male"
],
[
"Krzysztof_Matyjaszewski",
"isCitizenOf",
"Poland"
],
[
"Lech_Kaczyński",
"hasGender",
"male"
],
[
"Lech_Kaczyński",
"isPoliticianOf",
"Poland"
],
[
"Lech_Wałęsa",
"hasGender",
"male"
],
[
"Lech_Wałęsa",
"isPoliticianOf",
"Poland"
],
[
"Leonid_Hurwicz",
"hasGender",
"male"
],
[
"Leonid_Hurwicz",
"isCitizenOf",
"Poland"
],
[
"Leopold_Infeld",
"hasGender",
"male"
],
[
"Leopold_Infeld",
"isCitizenOf",
"Poland"
],
[
"Leopold_Infeld",
"livesIn",
"Poland"
],
[
"Leszek_Miller",
"hasGender",
"male"
],
[
"Leszek_Miller",
"isPoliticianOf",
"Poland"
],
[
"Lucjan_Żeligowski",
"hasGender",
"male"
],
[
"Lucjan_Żeligowski",
"isCitizenOf",
"Poland"
],
[
"Marek_Belka",
"hasGender",
"male"
],
[
"Marek_Belka",
"isPoliticianOf",
"Poland"
],
[
"Marian_Spychalski",
"hasGender",
"male"
],
[
"Marian_Spychalski",
"isPoliticianOf",
"Poland"
],
[
"Michał_Waszyński",
"hasGender",
"male"
],
[
"Michał_Waszyński",
"isCitizenOf",
"Poland"
],
[
"Mieczysław_Rakowski",
"hasGender",
"male"
],
[
"Mieczysław_Rakowski",
"isPoliticianOf",
"Poland"
],
[
"Oskar_R._Lange",
"hasGender",
"male"
],
[
"Oskar_R._Lange",
"isCitizenOf",
"Poland"
],
[
"Paul_Erdős",
"hasGender",
"male"
],
[
"Paul_Erdős",
"isCitizenOf",
"Poland"
],
[
"Piotr_Jaroszewicz",
"hasGender",
"male"
],
[
"Piotr_Jaroszewicz",
"isPoliticianOf",
"Poland"
],
[
"Radosław_Sikorski",
"hasGender",
"male"
],
[
"Radosław_Sikorski",
"isPoliticianOf",
"Poland"
],
[
"Roald_Hoffmann",
"hasGender",
"male"
],
[
"Roald_Hoffmann",
"isCitizenOf",
"Poland"
],
[
"Ryszard_Syski",
"hasGender",
"male"
],
[
"Ryszard_Syski",
"livesIn",
"Poland"
],
[
"Samuel_Karlin",
"hasGender",
"male"
],
[
"Samuel_Karlin",
"isCitizenOf",
"Poland"
],
[
"Stanislaw_Ulam",
"hasGender",
"male"
],
[
"Stanislaw_Ulam",
"isCitizenOf",
"Poland"
],
[
"Stanisław_Lem",
"hasGender",
"male"
],
[
"Stanisław_Lem",
"isCitizenOf",
"Poland"
],
[
"Stanisław_Mackiewicz",
"hasGender",
"male"
],
[
"Stanisław_Mackiewicz",
"isPoliticianOf",
"Poland"
],
[
"Stanisław_Ostrowski",
"hasGender",
"male"
],
[
"Stanisław_Ostrowski",
"isCitizenOf",
"Poland"
],
[
"Stanisław_Ostrowski",
"isPoliticianOf",
"Poland"
],
[
"Stanisław_Wojciechowski",
"hasGender",
"male"
],
[
"Stanisław_Wojciechowski",
"isPoliticianOf",
"Poland"
],
[
"Stefan_Mazurkiewicz",
"hasGender",
"male"
],
[
"Stefan_Mazurkiewicz",
"isCitizenOf",
"Poland"
],
[
"Tadeusz_Mazowiecki",
"hasGender",
"male"
],
[
"Tadeusz_Mazowiecki",
"isPoliticianOf",
"Poland"
],
[
"Waldemar_Pawlak",
"hasGender",
"male"
],
[
"Waldemar_Pawlak",
"isPoliticianOf",
"Poland"
],
[
"Witold_Gombrowicz",
"hasGender",
"male"
],
[
"Witold_Gombrowicz",
"isCitizenOf",
"Poland"
],
[
"Wojciech_Jaruzelski",
"hasGender",
"male"
],
[
"Wojciech_Jaruzelski",
"isPoliticianOf",
"Poland"
],
[
"Władysław_Gomułka",
"hasGender",
"male"
],
[
"Władysław_Gomułka",
"isCitizenOf",
"Poland"
],
[
"Władysław_Gomułka",
"isPoliticianOf",
"Poland"
],
[
"Władysław_Sikorski",
"hasGender",
"male"
],
[
"Władysław_Sikorski",
"isPoliticianOf",
"Poland"
],
[
"Włodzimierz_Cimoszewicz",
"hasGender",
"male"
],
[
"Włodzimierz_Cimoszewicz",
"isPoliticianOf",
"Poland"
],
[
"Xawery_Dunikowski",
"hasGender",
"male"
],
[
"Xawery_Dunikowski",
"isCitizenOf",
"Poland"
],
[
"Yaniv_Green",
"hasGender",
"male"
],
[
"Yaniv_Green",
"isCitizenOf",
"Poland"
],
[
"Zbigniew_Herbert",
"hasGender",
"male"
],
[
"Zbigniew_Herbert",
"isCitizenOf",
"Poland"
],
[
"Zbigniew_Messner",
"hasGender",
"male"
],
[
"Zbigniew_Messner",
"isPoliticianOf",
"Poland"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
114074, Adrian_Slywotzky
57902, Alan_Rothenberg
24464, Amorn_Thammanarm
90293, Anon_Sangsanoi
25742, Anusorn_Srichaluang
2225, Apichet_Puttan
34174, BEC_Tero_Sasana_F.C.
106710, Bangkok_Bank_F.C.
12158, Datsakorn_Thonglao
7435, Ekaphan_Inthasen
46720, Greater_St._Louis
50647, Hatthaporn_Suwan
14827, Jatupong_Thongsukh
16791, Jean-Baptiste_Akassou
55787, Jetsada_Jitsawad
84387, Kawin_Thamsatchanan
8562, Kiatisuk_Senamuang
47153, Kittipol_Paphunga
71665, Ladue,_Missouri
113458, Manuel_Lisa
36809, McDonnell_Douglas
68618, Mika_Chunuonsee
46012, Missouri
122033, Muangthong_United_F.C.
8532, Nakarin_Fuplook
28345, Narongchai_Vachiraban
21129, Naruphol_Ar-Romsawa
11504, Natipong_Sritong-In
27704, Nattaporn_Phanrit
79307, Nobuyuki_Zaizen
105090, Paitoon_Nontadee
67382, Paul_Erdős
82427, Peeratat_Phoruendee
30604, Pichit_Ketsro
63407, Pipat_Thonkanya
43085, Piyachart_Tamaphan
9900, Raj_Pracha_Thailand_F.C.
14054, Rangsan_Viwatchaichok
56553, Ronnachai_Rangsiyo
86815, Saint_Louis_Athletica
17872, Saint_Louis_University
62189, Saint_Louis_University_School_of_Law
62117, Salahudin_Arware
81390, Samuel_Cunningham_(footballer)
58225, Scottrade_Center
30791, Sivaruck_Tedsungnoen
21453, St._Louis
79815, St._Louis_Community_College
45507, Teerasil_Dangda
9392, Teeratep_Winothai
26855, Thanongsak_Panpipat
119172, Thritthi_Nonsrichai
29157, United_States
26239, Webster_Groves,_Missouri
15846, Weera_Koedpudsa
91770, Wisarut_Pannasri
119105, Wuttichai_Tathong
src, edge_attr, dst
114074, playsFor, 34174
114074, playsFor, 106710
57902, isCitizenOf, 29157
57902, playsFor, 34174
57902, playsFor, 122033
57902, playsFor, 9900
24464, isAffiliatedTo, 34174
24464, isAffiliatedTo, 122033
24464, playsFor, 34174
24464, playsFor, 122033
90293, isAffiliatedTo, 34174
90293, isAffiliatedTo, 122033
90293, playsFor, 34174
90293, playsFor, 122033
25742, isAffiliatedTo, 106710
25742, isAffiliatedTo, 122033
25742, playsFor, 106710
25742, playsFor, 122033
2225, isAffiliatedTo, 34174
2225, isAffiliatedTo, 9900
2225, playsFor, 34174
2225, playsFor, 9900
12158, isAffiliatedTo, 34174
12158, isAffiliatedTo, 122033
12158, isAffiliatedTo, 9900
12158, playsFor, 34174
12158, playsFor, 122033
12158, playsFor, 9900
7435, isAffiliatedTo, 34174
7435, isAffiliatedTo, 106710
7435, playsFor, 34174
7435, playsFor, 106710
46720, isLocatedIn, 46012
46720, isLocatedIn, 29157
50647, isAffiliatedTo, 34174
50647, isAffiliatedTo, 122033
50647, playsFor, 34174
50647, playsFor, 122033
14827, isAffiliatedTo, 34174
14827, isAffiliatedTo, 122033
14827, playsFor, 34174
14827, playsFor, 122033
16791, isAffiliatedTo, 34174
16791, isAffiliatedTo, 122033
16791, playsFor, 34174
16791, playsFor, 122033
55787, isAffiliatedTo, 34174
55787, isAffiliatedTo, 122033
55787, playsFor, 34174
55787, playsFor, 122033
84387, isAffiliatedTo, 122033
84387, isAffiliatedTo, 9900
84387, playsFor, 122033
84387, playsFor, 9900
8562, isAffiliatedTo, 34174
8562, isAffiliatedTo, 9900
8562, playsFor, 9900
47153, isAffiliatedTo, 34174
47153, isAffiliatedTo, 122033
47153, playsFor, 34174
47153, playsFor, 122033
71665, isLocatedIn, 46012
71665, isLocatedIn, 29157
113458, isCitizenOf, 29157
113458, playsFor, 34174
36809, isLocatedIn, 46012
36809, isLocatedIn, 29157
68618, isAffiliatedTo, 34174
68618, playsFor, 34174
68618, playsFor, 122033
46012, isLocatedIn, 29157
8532, isAffiliatedTo, 34174
8532, isAffiliatedTo, 106710
8532, playsFor, 34174
8532, playsFor, 106710
28345, isAffiliatedTo, 34174
28345, isAffiliatedTo, 122033
28345, playsFor, 34174
28345, playsFor, 122033
21129, isAffiliatedTo, 34174
21129, isAffiliatedTo, 122033
21129, playsFor, 34174
21129, playsFor, 122033
11504, isAffiliatedTo, 106710
11504, isAffiliatedTo, 9900
11504, playsFor, 106710
11504, playsFor, 9900
27704, isAffiliatedTo, 34174
27704, isAffiliatedTo, 122033
27704, playsFor, 34174
27704, playsFor, 122033
79307, isAffiliatedTo, 34174
79307, isAffiliatedTo, 122033
79307, playsFor, 34174
79307, playsFor, 122033
105090, isAffiliatedTo, 34174
105090, isAffiliatedTo, 122033
105090, playsFor, 34174
105090, playsFor, 122033
67382, livesIn, 29157
67382, playsFor, 106710
82427, isAffiliatedTo, 34174
82427, isAffiliatedTo, 106710
82427, playsFor, 34174
82427, playsFor, 106710
30604, isAffiliatedTo, 106710
30604, isAffiliatedTo, 9900
30604, playsFor, 106710
30604, playsFor, 9900
63407, isAffiliatedTo, 34174
63407, isAffiliatedTo, 9900
63407, playsFor, 34174
63407, playsFor, 9900
43085, isAffiliatedTo, 34174
43085, isAffiliatedTo, 122033
43085, playsFor, 34174
43085, playsFor, 122033
14054, isAffiliatedTo, 34174
14054, isAffiliatedTo, 106710
14054, playsFor, 34174
14054, playsFor, 106710
56553, isAffiliatedTo, 34174
56553, isAffiliatedTo, 122033
56553, playsFor, 34174
56553, playsFor, 122033
86815, isLocatedIn, 46012
86815, isLocatedIn, 29157
17872, isLocatedIn, 46012
17872, isLocatedIn, 29157
62189, isLocatedIn, 46012
62189, isLocatedIn, 29157
62117, isAffiliatedTo, 106710
62117, isAffiliatedTo, 122033
62117, playsFor, 106710
62117, playsFor, 122033
81390, isAffiliatedTo, 34174
81390, isAffiliatedTo, 122033
81390, isAffiliatedTo, 9900
81390, playsFor, 34174
81390, playsFor, 122033
81390, playsFor, 9900
58225, isLocatedIn, 46012
58225, isLocatedIn, 29157
30791, isAffiliatedTo, 34174
30791, isAffiliatedTo, 106710
30791, playsFor, 34174
30791, playsFor, 106710
21453, isLocatedIn, 46012
21453, isLocatedIn, 29157
79815, isLocatedIn, 46012
79815, isLocatedIn, 29157
45507, isAffiliatedTo, 122033
45507, isAffiliatedTo, 9900
45507, playsFor, 122033
45507, playsFor, 9900
9392, isAffiliatedTo, 34174
9392, isAffiliatedTo, 122033
9392, playsFor, 34174
9392, playsFor, 122033
26855, isAffiliatedTo, 34174
26855, isAffiliatedTo, 106710
26855, isAffiliatedTo, 122033
26855, playsFor, 34174
26855, playsFor, 106710
26855, playsFor, 122033
119172, isAffiliatedTo, 34174
119172, isAffiliatedTo, 122033
119172, playsFor, 34174
119172, playsFor, 122033
26239, isLocatedIn, 46012
26239, isLocatedIn, 29157
15846, isAffiliatedTo, 106710
15846, isAffiliatedTo, 122033
15846, playsFor, 106710
15846, playsFor, 122033
91770, isAffiliatedTo, 34174
91770, isAffiliatedTo, 106710
91770, isAffiliatedTo, 122033
91770, isAffiliatedTo, 9900
91770, playsFor, 34174
91770, playsFor, 106710
91770, playsFor, 122033
91770, playsFor, 9900
119105, isAffiliatedTo, 34174
119105, isAffiliatedTo, 122033
119105, playsFor, 34174
119105, playsFor, 122033
Question: For what reason are Webster_Groves,_Missouri and Wisarut_Pannasri associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Webster_Groves,_Missouri",
"Wisarut_Pannasri"
],
"valid_edges": [
[
"Adrian_Slywotzky",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Adrian_Slywotzky",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Alan_Rothenberg",
"isCitizenOf",
"United_States"
],
[
"Alan_Rothenberg",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Alan_Rothenberg",
"playsFor",
"Muangthong_United_F.C."
],
[
"Alan_Rothenberg",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Amorn_Thammanarm",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Amorn_Thammanarm",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Amorn_Thammanarm",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Amorn_Thammanarm",
"playsFor",
"Muangthong_United_F.C."
],
[
"Anon_Sangsanoi",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Anon_Sangsanoi",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Anon_Sangsanoi",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Anon_Sangsanoi",
"playsFor",
"Muangthong_United_F.C."
],
[
"Anusorn_Srichaluang",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Anusorn_Srichaluang",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Anusorn_Srichaluang",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Anusorn_Srichaluang",
"playsFor",
"Muangthong_United_F.C."
],
[
"Apichet_Puttan",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Apichet_Puttan",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Apichet_Puttan",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Apichet_Puttan",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Datsakorn_Thonglao",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Datsakorn_Thonglao",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Datsakorn_Thonglao",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Datsakorn_Thonglao",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Datsakorn_Thonglao",
"playsFor",
"Muangthong_United_F.C."
],
[
"Datsakorn_Thonglao",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Ekaphan_Inthasen",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Ekaphan_Inthasen",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Ekaphan_Inthasen",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Ekaphan_Inthasen",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Greater_St._Louis",
"isLocatedIn",
"Missouri"
],
[
"Greater_St._Louis",
"isLocatedIn",
"United_States"
],
[
"Hatthaporn_Suwan",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Hatthaporn_Suwan",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Hatthaporn_Suwan",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Hatthaporn_Suwan",
"playsFor",
"Muangthong_United_F.C."
],
[
"Jatupong_Thongsukh",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Jatupong_Thongsukh",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Jatupong_Thongsukh",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Jatupong_Thongsukh",
"playsFor",
"Muangthong_United_F.C."
],
[
"Jean-Baptiste_Akassou",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Jean-Baptiste_Akassou",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Jean-Baptiste_Akassou",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Jean-Baptiste_Akassou",
"playsFor",
"Muangthong_United_F.C."
],
[
"Jetsada_Jitsawad",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Jetsada_Jitsawad",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Jetsada_Jitsawad",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Jetsada_Jitsawad",
"playsFor",
"Muangthong_United_F.C."
],
[
"Kawin_Thamsatchanan",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Kawin_Thamsatchanan",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Kawin_Thamsatchanan",
"playsFor",
"Muangthong_United_F.C."
],
[
"Kawin_Thamsatchanan",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Kiatisuk_Senamuang",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Kiatisuk_Senamuang",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Kiatisuk_Senamuang",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Kittipol_Paphunga",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Kittipol_Paphunga",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Kittipol_Paphunga",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Kittipol_Paphunga",
"playsFor",
"Muangthong_United_F.C."
],
[
"Ladue,_Missouri",
"isLocatedIn",
"Missouri"
],
[
"Ladue,_Missouri",
"isLocatedIn",
"United_States"
],
[
"Manuel_Lisa",
"isCitizenOf",
"United_States"
],
[
"Manuel_Lisa",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"McDonnell_Douglas",
"isLocatedIn",
"Missouri"
],
[
"McDonnell_Douglas",
"isLocatedIn",
"United_States"
],
[
"Mika_Chunuonsee",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Mika_Chunuonsee",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Mika_Chunuonsee",
"playsFor",
"Muangthong_United_F.C."
],
[
"Missouri",
"isLocatedIn",
"United_States"
],
[
"Nakarin_Fuplook",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Nakarin_Fuplook",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Nakarin_Fuplook",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Nakarin_Fuplook",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Narongchai_Vachiraban",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Narongchai_Vachiraban",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Narongchai_Vachiraban",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Narongchai_Vachiraban",
"playsFor",
"Muangthong_United_F.C."
],
[
"Naruphol_Ar-Romsawa",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Naruphol_Ar-Romsawa",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Naruphol_Ar-Romsawa",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Naruphol_Ar-Romsawa",
"playsFor",
"Muangthong_United_F.C."
],
[
"Natipong_Sritong-In",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Natipong_Sritong-In",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Natipong_Sritong-In",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Natipong_Sritong-In",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Nattaporn_Phanrit",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Nattaporn_Phanrit",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Nattaporn_Phanrit",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Nattaporn_Phanrit",
"playsFor",
"Muangthong_United_F.C."
],
[
"Nobuyuki_Zaizen",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Nobuyuki_Zaizen",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Nobuyuki_Zaizen",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Nobuyuki_Zaizen",
"playsFor",
"Muangthong_United_F.C."
],
[
"Paitoon_Nontadee",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Paitoon_Nontadee",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Paitoon_Nontadee",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Paitoon_Nontadee",
"playsFor",
"Muangthong_United_F.C."
],
[
"Paul_Erdős",
"livesIn",
"United_States"
],
[
"Paul_Erdős",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Peeratat_Phoruendee",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Peeratat_Phoruendee",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Peeratat_Phoruendee",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Peeratat_Phoruendee",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Pichit_Ketsro",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Pichit_Ketsro",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Pichit_Ketsro",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Pichit_Ketsro",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Pipat_Thonkanya",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Pipat_Thonkanya",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Pipat_Thonkanya",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Pipat_Thonkanya",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Piyachart_Tamaphan",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Piyachart_Tamaphan",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Piyachart_Tamaphan",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Piyachart_Tamaphan",
"playsFor",
"Muangthong_United_F.C."
],
[
"Rangsan_Viwatchaichok",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Rangsan_Viwatchaichok",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Rangsan_Viwatchaichok",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Rangsan_Viwatchaichok",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Ronnachai_Rangsiyo",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Ronnachai_Rangsiyo",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Ronnachai_Rangsiyo",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Ronnachai_Rangsiyo",
"playsFor",
"Muangthong_United_F.C."
],
[
"Saint_Louis_Athletica",
"isLocatedIn",
"Missouri"
],
[
"Saint_Louis_Athletica",
"isLocatedIn",
"United_States"
],
[
"Saint_Louis_University",
"isLocatedIn",
"Missouri"
],
[
"Saint_Louis_University",
"isLocatedIn",
"United_States"
],
[
"Saint_Louis_University_School_of_Law",
"isLocatedIn",
"Missouri"
],
[
"Saint_Louis_University_School_of_Law",
"isLocatedIn",
"United_States"
],
[
"Salahudin_Arware",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Salahudin_Arware",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Salahudin_Arware",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Salahudin_Arware",
"playsFor",
"Muangthong_United_F.C."
],
[
"Samuel_Cunningham_(footballer)",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Samuel_Cunningham_(footballer)",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Samuel_Cunningham_(footballer)",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Samuel_Cunningham_(footballer)",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Samuel_Cunningham_(footballer)",
"playsFor",
"Muangthong_United_F.C."
],
[
"Samuel_Cunningham_(footballer)",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Scottrade_Center",
"isLocatedIn",
"Missouri"
],
[
"Scottrade_Center",
"isLocatedIn",
"United_States"
],
[
"Sivaruck_Tedsungnoen",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Sivaruck_Tedsungnoen",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Sivaruck_Tedsungnoen",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Sivaruck_Tedsungnoen",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"St._Louis",
"isLocatedIn",
"Missouri"
],
[
"St._Louis",
"isLocatedIn",
"United_States"
],
[
"St._Louis_Community_College",
"isLocatedIn",
"Missouri"
],
[
"St._Louis_Community_College",
"isLocatedIn",
"United_States"
],
[
"Teerasil_Dangda",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Teerasil_Dangda",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Teerasil_Dangda",
"playsFor",
"Muangthong_United_F.C."
],
[
"Teerasil_Dangda",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Teeratep_Winothai",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Teeratep_Winothai",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Teeratep_Winothai",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Teeratep_Winothai",
"playsFor",
"Muangthong_United_F.C."
],
[
"Thanongsak_Panpipat",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Thanongsak_Panpipat",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Thanongsak_Panpipat",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Thanongsak_Panpipat",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Thanongsak_Panpipat",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Thanongsak_Panpipat",
"playsFor",
"Muangthong_United_F.C."
],
[
"Thritthi_Nonsrichai",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Thritthi_Nonsrichai",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Thritthi_Nonsrichai",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Thritthi_Nonsrichai",
"playsFor",
"Muangthong_United_F.C."
],
[
"Webster_Groves,_Missouri",
"isLocatedIn",
"Missouri"
],
[
"Webster_Groves,_Missouri",
"isLocatedIn",
"United_States"
],
[
"Weera_Koedpudsa",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Weera_Koedpudsa",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Weera_Koedpudsa",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Weera_Koedpudsa",
"playsFor",
"Muangthong_United_F.C."
],
[
"Wisarut_Pannasri",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Wisarut_Pannasri",
"isAffiliatedTo",
"Bangkok_Bank_F.C."
],
[
"Wisarut_Pannasri",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Wisarut_Pannasri",
"isAffiliatedTo",
"Raj_Pracha_Thailand_F.C."
],
[
"Wisarut_Pannasri",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Wisarut_Pannasri",
"playsFor",
"Bangkok_Bank_F.C."
],
[
"Wisarut_Pannasri",
"playsFor",
"Muangthong_United_F.C."
],
[
"Wisarut_Pannasri",
"playsFor",
"Raj_Pracha_Thailand_F.C."
],
[
"Wuttichai_Tathong",
"isAffiliatedTo",
"BEC_Tero_Sasana_F.C."
],
[
"Wuttichai_Tathong",
"isAffiliatedTo",
"Muangthong_United_F.C."
],
[
"Wuttichai_Tathong",
"playsFor",
"BEC_Tero_Sasana_F.C."
],
[
"Wuttichai_Tathong",
"playsFor",
"Muangthong_United_F.C."
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
28037, Grand_Island,_Nebraska
17804, John_Pedersen_(arms_designer)
81657, Nebraska
38171, The_Big_Lebowski
29157, United_States
src, edge_attr, dst
28037, isLocatedIn, 81657
28037, isLocatedIn, 29157
17804, wasBornIn, 28037
81657, isLocatedIn, 29157
38171, isLocatedIn, 29157
Question: In what context are John_Pedersen_(arms_designer) and The_Big_Lebowski connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"John_Pedersen_(arms_designer)",
"The_Big_Lebowski"
],
"valid_edges": [
[
"Grand_Island,_Nebraska",
"isLocatedIn",
"Nebraska"
],
[
"Grand_Island,_Nebraska",
"isLocatedIn",
"United_States"
],
[
"John_Pedersen_(arms_designer)",
"wasBornIn",
"Grand_Island,_Nebraska"
],
[
"Nebraska",
"isLocatedIn",
"United_States"
],
[
"The_Big_Lebowski",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
36720, 1959_Tibetan_uprising
91067, Affymetrix
82383, Afghanistan
5074, Algeria
33596, Angola
121554, Angolan_War_of_Independence
106272, Armenia
4956, Around_the_World_in_80_Days_(TV_miniseries)
95802, Australia
18438, Azerbaijan
61394, Bahrain
111723, Bangladesh
91101, Barbados
23493, Battle_of_Chosin_Reservoir
72745, Battle_of_Guilin–Liuzhou
93445, Battle_of_Heartbreak_Ridge
95967, Battle_of_Kapyong
23888, Battle_of_the_Imjin_River
96383, Belize
32302, Benin
109165, Bolivia
76228, Boxer_Rebellion
87536, Brazil
17857, Burma_Campaign_1944
71269, Burundi
99069, Cambodia
84610, Cambodian–Vietnamese_War
60046, Cameroon
108086, Canada
23323, Cape_Verde
31203, Carbonated_Games
32958, Chen-Ning_Yang
46515, Chia-Chiao_Lin
25228, Chien-Shiung_Wu
31598, Chile
45863, China
64520, Civil_war_in_Afghanistan_(1989–92)
4267, Colombia
107583, Congo_Crisis
59170, Costa_Rica
103458, Crouching_Tiger,_Hidden_Dragon
63325, Cuba
64438, Denmark
7586, Dominican_Republic
47476, Egypt
78687, El_Salvador
109712, Equatorial_Guinea
17957, Eritrean_War_of_Independence
55492, Ethio-Somali_War
22794, Ethiopia
21333, Fearless_(2006_film)
52555, Finland
94151, First_Indochina_War
13736, Gabon
51011, Georgia_(country)
61995, Germany
48836, Grenada
2126, Guatemala
98577, Guinea-Bissau
51355, Guyana
113020, Haiti
110655, Hong_Kong
4293, Iceland
89823, India
33806, Indonesia
32993, Indonesian_occupation_of_East_Timor
38665, Insurgency_in_Laos
102330, Internal_conflict_in_Burma
48811, Iraq
115938, Israel
107116, Ivory_Coast
21132, Jamaica
76792, Japan
2104, Jordan
57645, Korean_War
98240, Kuwait
55513, Laotian_Civil_War
108652, Lebanon
92013, Lenovo
22443, Li_Fang-Kuei
55674, Liberia
45378, Libya
51681, Little_Vietnam
102598, Macau
116954, Madagascar
99937, Madame_Tussauds
79493, Malaysia
85530, Maldives
57031, Marco_Polo_(TV_miniseries)
119603, Mauritania
61351, Mauritius
46903, Memoirs_of_a_Geisha_(film)
115840, Mongolia
99556, Morocco
123064, Mozambique
102143, My_Blueberry_Nights
95142, NCSOFT
56910, Nepal
97313, Netherlands
114482, New_Zealand
114375, Nicaragua
27329, Niger
34763, Nigeria
59688, Norway
112418, Oman
122711, Operation_Enduring_Freedom
59704, Operation_Enduring_Freedom_–_Horn_of_Africa
50917, Operation_Ripper
76042, Pacific_War
85860, Pakistan
109270, Panama
57243, Papua_New_Guinea
101244, Paraguay
101039, Paul_H._Nitze_School_of_Advanced_International_Studies
38458, Peru
84827, Philippines
71726, Portuguese_Colonial_War
71114, Qatar
30340, Quebec
31871, Republic_of_Ireland
101967, Republic_of_the_Congo
5813, RoboCop_2
36205, Rush_Hour_2
73020, Rwanda
60596, Salvadoran_Civil_War
104670, Saudi_Arabia
21554, Second_Sino-Japanese_War
89052, Shaba_I
13515, Sho-Chieh_Tsiang
21278, Sierra_Leone
29594, Singapore
69057, South_Africa
82590, South_Korea
75821, Soviet_war_in_Afghanistan
7067, Sri_Lanka
109657, Sun_Yat-sen
24922, Suriname
6827, Sweden
69478, Switzerland
48370, Thailand
90414, The_Bahamas
64411, The_Forbidden_Kingdom
47004, The_Painted_Veil_(2006_film)
58450, The_Promise_(2005_film)
8613, The_White_Countess
38615, Tunisia
53538, Turkey
76200, United_Arab_Emirates
100654, United_Kingdom
29157, United_States
43946, Uruguay
11684, Venezuela
84438, Vietnam
74612, Wales
75056, War_on_Terror
84023, Yantai
105558, Yu-Chi_Ho
55527, fr/Tijanisme
src, edge_attr, dst
36720, happenedIn, 45863
91067, isLocatedIn, 45863
91067, isLocatedIn, 29157
82383, dealsWith, 45863
82383, dealsWith, 29157
82383, hasNeighbor, 45863
5074, dealsWith, 45863
5074, dealsWith, 29157
33596, dealsWith, 45863
33596, dealsWith, 29157
106272, dealsWith, 45863
106272, dealsWith, 29157
4956, isLocatedIn, 45863
4956, isLocatedIn, 29157
95802, dealsWith, 45863
95802, dealsWith, 29157
18438, dealsWith, 45863
18438, dealsWith, 29157
61394, dealsWith, 45863
61394, dealsWith, 29157
111723, dealsWith, 45863
111723, dealsWith, 29157
91101, dealsWith, 45863
91101, dealsWith, 29157
23493, happenedIn, 45863
93445, happenedIn, 45863
93445, happenedIn, 29157
96383, dealsWith, 45863
96383, dealsWith, 29157
32302, dealsWith, 45863
32302, dealsWith, 29157
109165, dealsWith, 45863
109165, dealsWith, 29157
76228, happenedIn, 45863
87536, dealsWith, 45863
87536, dealsWith, 29157
17857, happenedIn, 45863
71269, dealsWith, 45863
71269, dealsWith, 29157
99069, dealsWith, 45863
99069, dealsWith, 29157
60046, dealsWith, 45863
60046, dealsWith, 29157
108086, dealsWith, 45863
108086, dealsWith, 29157
108086, hasNeighbor, 29157
23323, dealsWith, 45863
23323, dealsWith, 29157
31203, isLocatedIn, 45863
31203, isLocatedIn, 29157
32958, isCitizenOf, 29157
32958, livesIn, 45863
46515, isCitizenOf, 29157
46515, livesIn, 45863
46515, livesIn, 29157
25228, isCitizenOf, 45863
25228, isCitizenOf, 29157
31598, dealsWith, 45863
31598, dealsWith, 29157
45863, dealsWith, 95802
45863, dealsWith, 61995
45863, dealsWith, 110655
45863, dealsWith, 76792
45863, dealsWith, 82590
45863, dealsWith, 29157
45863, hasNeighbor, 82383
45863, hasNeighbor, 89823
45863, hasNeighbor, 115840
45863, hasNeighbor, 56910
45863, hasNeighbor, 85860
45863, hasNeighbor, 84438
45863, participatedIn, 36720
45863, participatedIn, 121554
45863, participatedIn, 23493
45863, participatedIn, 72745
45863, participatedIn, 93445
45863, participatedIn, 95967
45863, participatedIn, 23888
45863, participatedIn, 84610
45863, participatedIn, 64520
45863, participatedIn, 107583
45863, participatedIn, 17957
45863, participatedIn, 55492
45863, participatedIn, 94151
45863, participatedIn, 32993
45863, participatedIn, 38665
45863, participatedIn, 102330
45863, participatedIn, 57645
45863, participatedIn, 55513
45863, participatedIn, 122711
45863, participatedIn, 59704
45863, participatedIn, 50917
45863, participatedIn, 71726
45863, participatedIn, 60596
45863, participatedIn, 89052
45863, participatedIn, 75821
45863, participatedIn, 75056
4267, dealsWith, 45863
4267, dealsWith, 29157
59170, dealsWith, 45863
59170, dealsWith, 29157
103458, isLocatedIn, 45863
103458, isLocatedIn, 29157
63325, dealsWith, 45863
63325, dealsWith, 29157
63325, hasNeighbor, 29157
64438, dealsWith, 45863
64438, dealsWith, 29157
7586, dealsWith, 45863
7586, dealsWith, 29157
47476, dealsWith, 45863
47476, dealsWith, 29157
78687, dealsWith, 45863
78687, dealsWith, 29157
109712, dealsWith, 45863
109712, dealsWith, 29157
22794, dealsWith, 45863
22794, dealsWith, 29157
21333, isLocatedIn, 45863
21333, isLocatedIn, 29157
52555, dealsWith, 45863
52555, dealsWith, 29157
13736, dealsWith, 45863
13736, dealsWith, 29157
51011, dealsWith, 45863
51011, dealsWith, 29157
61995, dealsWith, 45863
61995, dealsWith, 29157
48836, dealsWith, 45863
48836, dealsWith, 29157
2126, dealsWith, 45863
2126, dealsWith, 29157
98577, dealsWith, 45863
98577, dealsWith, 29157
51355, dealsWith, 45863
51355, dealsWith, 29157
113020, dealsWith, 45863
113020, dealsWith, 29157
110655, dealsWith, 45863
110655, dealsWith, 29157
110655, isLocatedIn, 45863
4293, dealsWith, 45863
4293, dealsWith, 29157
89823, dealsWith, 45863
89823, dealsWith, 29157
89823, hasNeighbor, 45863
33806, dealsWith, 45863
33806, dealsWith, 29157
48811, dealsWith, 45863
48811, dealsWith, 29157
115938, dealsWith, 45863
115938, dealsWith, 29157
107116, dealsWith, 45863
107116, dealsWith, 29157
21132, dealsWith, 45863
21132, dealsWith, 29157
76792, dealsWith, 45863
76792, dealsWith, 29157
2104, dealsWith, 45863
2104, dealsWith, 29157
98240, dealsWith, 45863
98240, dealsWith, 29157
108652, dealsWith, 45863
108652, dealsWith, 29157
92013, isLocatedIn, 45863
92013, isLocatedIn, 29157
22443, isCitizenOf, 29157
22443, livesIn, 45863
22443, livesIn, 29157
55674, dealsWith, 45863
55674, dealsWith, 29157
45378, dealsWith, 45863
45378, dealsWith, 29157
51681, isLocatedIn, 45863
51681, isLocatedIn, 29157
102598, dealsWith, 45863
102598, dealsWith, 29157
102598, isLocatedIn, 45863
116954, dealsWith, 45863
116954, dealsWith, 29157
99937, isLocatedIn, 45863
99937, isLocatedIn, 29157
79493, dealsWith, 45863
79493, dealsWith, 29157
85530, dealsWith, 45863
85530, dealsWith, 29157
57031, isLocatedIn, 45863
57031, isLocatedIn, 29157
119603, dealsWith, 45863
119603, dealsWith, 29157
61351, dealsWith, 45863
61351, dealsWith, 29157
46903, isLocatedIn, 45863
46903, isLocatedIn, 29157
115840, dealsWith, 45863
115840, dealsWith, 29157
115840, hasNeighbor, 45863
99556, dealsWith, 45863
99556, dealsWith, 29157
123064, dealsWith, 45863
123064, dealsWith, 29157
102143, isLocatedIn, 45863
102143, isLocatedIn, 29157
95142, isLocatedIn, 45863
95142, isLocatedIn, 29157
56910, dealsWith, 45863
56910, dealsWith, 29157
56910, hasNeighbor, 45863
97313, dealsWith, 45863
97313, dealsWith, 29157
114482, dealsWith, 45863
114482, dealsWith, 29157
114375, dealsWith, 45863
114375, dealsWith, 29157
27329, dealsWith, 45863
27329, dealsWith, 29157
34763, dealsWith, 45863
34763, dealsWith, 29157
59688, dealsWith, 45863
59688, dealsWith, 29157
112418, dealsWith, 45863
112418, dealsWith, 29157
76042, happenedIn, 45863
85860, dealsWith, 45863
85860, dealsWith, 29157
85860, hasNeighbor, 45863
109270, dealsWith, 45863
109270, dealsWith, 29157
57243, dealsWith, 45863
57243, dealsWith, 29157
101244, dealsWith, 45863
101244, dealsWith, 29157
101039, isLocatedIn, 45863
101039, isLocatedIn, 29157
38458, dealsWith, 45863
38458, dealsWith, 29157
84827, dealsWith, 45863
84827, dealsWith, 29157
71114, dealsWith, 45863
71114, dealsWith, 29157
30340, dealsWith, 45863
30340, dealsWith, 29157
31871, dealsWith, 45863
31871, dealsWith, 29157
101967, dealsWith, 45863
101967, dealsWith, 29157
5813, isLocatedIn, 29157
36205, isLocatedIn, 45863
36205, isLocatedIn, 29157
73020, dealsWith, 45863
73020, dealsWith, 29157
104670, dealsWith, 45863
104670, dealsWith, 29157
21554, happenedIn, 45863
21554, happenedIn, 29157
13515, isCitizenOf, 29157
13515, livesIn, 45863
21278, dealsWith, 45863
21278, dealsWith, 29157
29594, dealsWith, 45863
29594, dealsWith, 29157
69057, dealsWith, 45863
69057, dealsWith, 29157
82590, dealsWith, 45863
82590, dealsWith, 29157
7067, dealsWith, 45863
7067, dealsWith, 29157
109657, isCitizenOf, 45863
109657, isCitizenOf, 29157
24922, dealsWith, 45863
24922, dealsWith, 29157
6827, dealsWith, 45863
6827, dealsWith, 29157
69478, dealsWith, 45863
69478, dealsWith, 29157
48370, dealsWith, 45863
48370, dealsWith, 29157
90414, dealsWith, 45863
90414, dealsWith, 29157
64411, isLocatedIn, 45863
64411, isLocatedIn, 29157
47004, isLocatedIn, 45863
47004, isLocatedIn, 29157
58450, isLocatedIn, 45863
58450, isLocatedIn, 29157
8613, isLocatedIn, 45863
8613, isLocatedIn, 29157
38615, dealsWith, 45863
38615, dealsWith, 29157
53538, dealsWith, 45863
53538, dealsWith, 29157
76200, dealsWith, 45863
76200, dealsWith, 29157
100654, dealsWith, 45863
100654, dealsWith, 29157
29157, dealsWith, 108086
29157, dealsWith, 45863
29157, dealsWith, 61995
29157, dealsWith, 76792
29157, hasNeighbor, 108086
29157, hasNeighbor, 63325
29157, participatedIn, 36720
29157, participatedIn, 121554
29157, participatedIn, 23493
29157, participatedIn, 72745
29157, participatedIn, 93445
29157, participatedIn, 95967
29157, participatedIn, 23888
29157, participatedIn, 76228
29157, participatedIn, 17857
29157, participatedIn, 84610
29157, participatedIn, 64520
29157, participatedIn, 107583
29157, participatedIn, 17957
29157, participatedIn, 55492
29157, participatedIn, 94151
29157, participatedIn, 32993
29157, participatedIn, 38665
29157, participatedIn, 102330
29157, participatedIn, 57645
29157, participatedIn, 55513
29157, participatedIn, 122711
29157, participatedIn, 59704
29157, participatedIn, 50917
29157, participatedIn, 76042
29157, participatedIn, 71726
29157, participatedIn, 60596
29157, participatedIn, 89052
29157, participatedIn, 75821
29157, participatedIn, 75056
43946, dealsWith, 45863
43946, dealsWith, 29157
11684, dealsWith, 45863
11684, dealsWith, 29157
84438, dealsWith, 45863
84438, dealsWith, 29157
84438, hasNeighbor, 45863
74612, dealsWith, 45863
74612, dealsWith, 29157
84023, isLocatedIn, 45863
105558, isCitizenOf, 45863
105558, isCitizenOf, 29157
105558, livesIn, 29157
55527, isLocatedIn, 45863
55527, isLocatedIn, 29157
Question: How are RoboCop_2 and Yantai related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"RoboCop_2",
"Yantai"
],
"valid_edges": [
[
"1959_Tibetan_uprising",
"happenedIn",
"China"
],
[
"Affymetrix",
"isLocatedIn",
"China"
],
[
"Affymetrix",
"isLocatedIn",
"United_States"
],
[
"Afghanistan",
"dealsWith",
"China"
],
[
"Afghanistan",
"dealsWith",
"United_States"
],
[
"Afghanistan",
"hasNeighbor",
"China"
],
[
"Algeria",
"dealsWith",
"China"
],
[
"Algeria",
"dealsWith",
"United_States"
],
[
"Angola",
"dealsWith",
"China"
],
[
"Angola",
"dealsWith",
"United_States"
],
[
"Armenia",
"dealsWith",
"China"
],
[
"Armenia",
"dealsWith",
"United_States"
],
[
"Around_the_World_in_80_Days_(TV_miniseries)",
"isLocatedIn",
"China"
],
[
"Around_the_World_in_80_Days_(TV_miniseries)",
"isLocatedIn",
"United_States"
],
[
"Australia",
"dealsWith",
"China"
],
[
"Australia",
"dealsWith",
"United_States"
],
[
"Azerbaijan",
"dealsWith",
"China"
],
[
"Azerbaijan",
"dealsWith",
"United_States"
],
[
"Bahrain",
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"China"
],
[
"Bahrain",
"dealsWith",
"United_States"
],
[
"Bangladesh",
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"China"
],
[
"Bangladesh",
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"United_States"
],
[
"Barbados",
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],
[
"Barbados",
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[
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[
"Battle_of_Heartbreak_Ridge",
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[
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[
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[
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[
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[
"Benin",
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[
"Bolivia",
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],
[
"Bolivia",
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[
"Boxer_Rebellion",
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"China"
],
[
"Brazil",
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],
[
"Brazil",
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[
"Burma_Campaign_1944",
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[
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[
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[
"Chen-Ning_Yang",
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"United_States"
],
[
"Chen-Ning_Yang",
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"China"
],
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"Chia-Chiao_Lin",
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],
[
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"Chien-Shiung_Wu",
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"Chien-Shiung_Wu",
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[
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[
"Chile",
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[
"China",
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],
[
"China",
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],
[
"China",
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],
[
"China",
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],
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"China",
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"China",
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],
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"China",
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],
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"China",
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],
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"China",
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],
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"China",
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"Vietnam"
],
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"China",
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"1959_Tibetan_uprising"
],
[
"China",
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"Angolan_War_of_Independence"
],
[
"China",
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"Battle_of_Chosin_Reservoir"
],
[
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"Battle_of_Guilin–Liuzhou"
],
[
"China",
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"Battle_of_Heartbreak_Ridge"
],
[
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],
[
"China",
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"Battle_of_the_Imjin_River"
],
[
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],
[
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],
[
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],
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],
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[
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],
[
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],
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],
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],
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"China",
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],
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[
"China",
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"China",
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],
[
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],
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],
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"Costa_Rica",
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"Crouching_Tiger,_Hidden_Dragon",
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[
"Crouching_Tiger,_Hidden_Dragon",
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[
"Cuba",
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[
"Denmark",
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"Denmark",
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[
"Dominican_Republic",
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"Dominican_Republic",
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[
"Egypt",
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],
[
"Egypt",
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[
"El_Salvador",
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"China"
],
[
"El_Salvador",
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],
[
"Equatorial_Guinea",
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],
[
"Equatorial_Guinea",
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[
"Ethiopia",
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],
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"Ethiopia",
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"Fearless_(2006_film)",
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[
"Fearless_(2006_film)",
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"Finland",
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"Gabon",
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"Georgia_(country)",
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"Georgia_(country)",
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"Germany",
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[
"Germany",
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"Guatemala",
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"Guinea-Bissau",
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"Guyana",
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"Haiti",
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"Hong_Kong",
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[
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[
"India",
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"Indonesia",
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[
"Iraq",
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"Iraq",
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"Israel",
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],
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"Israel",
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"Ivory_Coast",
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],
[
"Jamaica",
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"China"
],
[
"Jamaica",
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"United_States"
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[
"Japan",
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[
"Japan",
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[
"Jordan",
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"China"
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"Jordan",
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"Kuwait",
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"Kuwait",
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"China"
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"Lenovo",
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"Li_Fang-Kuei",
"isCitizenOf",
"United_States"
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"Li_Fang-Kuei",
"livesIn",
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],
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"Li_Fang-Kuei",
"livesIn",
"United_States"
],
[
"Liberia",
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],
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"Liberia",
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[
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"China"
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"United_States"
],
[
"Macau",
"dealsWith",
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"Macau",
"dealsWith",
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"Macau",
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],
[
"Madagascar",
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],
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"Madagascar",
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"Madame_Tussauds",
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[
"Madame_Tussauds",
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"United_States"
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[
"Malaysia",
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"Maldives",
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"Maldives",
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[
"Marco_Polo_(TV_miniseries)",
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[
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[
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[
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[
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[
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[
"RoboCop_2",
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[
"Rush_Hour_2",
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[
"Sho-Chieh_Tsiang",
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[
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[
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[
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"Singapore",
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"South_Korea",
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[
"Sri_Lanka",
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"Sri_Lanka",
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[
"Sun_Yat-sen",
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[
"Sun_Yat-sen",
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[
"Suriname",
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[
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"Sweden",
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"Switzerland",
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[
"Switzerland",
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[
"Thailand",
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"Thailand",
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[
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[
"The_Bahamas",
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[
"The_Forbidden_Kingdom",
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],
[
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],
[
"The_Painted_Veil_(2006_film)",
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[
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"isLocatedIn",
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],
[
"The_Promise_(2005_film)",
"isLocatedIn",
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],
[
"The_Promise_(2005_film)",
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],
[
"The_White_Countess",
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"China"
],
[
"The_White_Countess",
"isLocatedIn",
"United_States"
],
[
"Tunisia",
"dealsWith",
"China"
],
[
"Tunisia",
"dealsWith",
"United_States"
],
[
"Turkey",
"dealsWith",
"China"
],
[
"Turkey",
"dealsWith",
"United_States"
],
[
"United_Arab_Emirates",
"dealsWith",
"China"
],
[
"United_Arab_Emirates",
"dealsWith",
"United_States"
],
[
"United_Kingdom",
"dealsWith",
"China"
],
[
"United_Kingdom",
"dealsWith",
"United_States"
],
[
"United_States",
"dealsWith",
"Canada"
],
[
"United_States",
"dealsWith",
"China"
],
[
"United_States",
"dealsWith",
"Germany"
],
[
"United_States",
"dealsWith",
"Japan"
],
[
"United_States",
"hasNeighbor",
"Canada"
],
[
"United_States",
"hasNeighbor",
"Cuba"
],
[
"United_States",
"participatedIn",
"1959_Tibetan_uprising"
],
[
"United_States",
"participatedIn",
"Angolan_War_of_Independence"
],
[
"United_States",
"participatedIn",
"Battle_of_Chosin_Reservoir"
],
[
"United_States",
"participatedIn",
"Battle_of_Guilin–Liuzhou"
],
[
"United_States",
"participatedIn",
"Battle_of_Heartbreak_Ridge"
],
[
"United_States",
"participatedIn",
"Battle_of_Kapyong"
],
[
"United_States",
"participatedIn",
"Battle_of_the_Imjin_River"
],
[
"United_States",
"participatedIn",
"Boxer_Rebellion"
],
[
"United_States",
"participatedIn",
"Burma_Campaign_1944"
],
[
"United_States",
"participatedIn",
"Cambodian–Vietnamese_War"
],
[
"United_States",
"participatedIn",
"Civil_war_in_Afghanistan_(1989–92)"
],
[
"United_States",
"participatedIn",
"Congo_Crisis"
],
[
"United_States",
"participatedIn",
"Eritrean_War_of_Independence"
],
[
"United_States",
"participatedIn",
"Ethio-Somali_War"
],
[
"United_States",
"participatedIn",
"First_Indochina_War"
],
[
"United_States",
"participatedIn",
"Indonesian_occupation_of_East_Timor"
],
[
"United_States",
"participatedIn",
"Insurgency_in_Laos"
],
[
"United_States",
"participatedIn",
"Internal_conflict_in_Burma"
],
[
"United_States",
"participatedIn",
"Korean_War"
],
[
"United_States",
"participatedIn",
"Laotian_Civil_War"
],
[
"United_States",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"United_States",
"participatedIn",
"Operation_Enduring_Freedom_–_Horn_of_Africa"
],
[
"United_States",
"participatedIn",
"Operation_Ripper"
],
[
"United_States",
"participatedIn",
"Pacific_War"
],
[
"United_States",
"participatedIn",
"Portuguese_Colonial_War"
],
[
"United_States",
"participatedIn",
"Salvadoran_Civil_War"
],
[
"United_States",
"participatedIn",
"Shaba_I"
],
[
"United_States",
"participatedIn",
"Soviet_war_in_Afghanistan"
],
[
"United_States",
"participatedIn",
"War_on_Terror"
],
[
"Uruguay",
"dealsWith",
"China"
],
[
"Uruguay",
"dealsWith",
"United_States"
],
[
"Venezuela",
"dealsWith",
"China"
],
[
"Venezuela",
"dealsWith",
"United_States"
],
[
"Vietnam",
"dealsWith",
"China"
],
[
"Vietnam",
"dealsWith",
"United_States"
],
[
"Vietnam",
"hasNeighbor",
"China"
],
[
"Wales",
"dealsWith",
"China"
],
[
"Wales",
"dealsWith",
"United_States"
],
[
"Yantai",
"isLocatedIn",
"China"
],
[
"Yu-Chi_Ho",
"isCitizenOf",
"China"
],
[
"Yu-Chi_Ho",
"isCitizenOf",
"United_States"
],
[
"Yu-Chi_Ho",
"livesIn",
"United_States"
],
[
"fr/Tijanisme",
"isLocatedIn",
"China"
],
[
"fr/Tijanisme",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
103543, Fotis_Kafatos
4955, Little_Man_Tate_(band)
118104, male
src, edge_attr, dst
103543, hasGender, 118104
4955, hasGender, 118104
Question: For what reason are Fotis_Kafatos and Little_Man_Tate_(band) associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Fotis_Kafatos",
"Little_Man_Tate_(band)"
],
"valid_edges": [
[
"Fotis_Kafatos",
"hasGender",
"male"
],
[
"Little_Man_Tate_(band)",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
58124, Elizabeth_Bear
58667, Gautami_Tadimalla
89823, India
96988, Jayalalithaa
31360, Nilgiris_district
96498, Ooty
28469, Saritha
43659, Tamil_Nadu
34671, Western_Ghats
80384, female
src, edge_attr, dst
58124, hasGender, 80384
58667, hasGender, 80384
58667, livesIn, 43659
96988, hasGender, 80384
96988, isLeaderOf, 43659
96988, isPoliticianOf, 43659
31360, isLocatedIn, 43659
96498, isLocatedIn, 89823
96498, isLocatedIn, 31360
96498, isLocatedIn, 43659
28469, hasGender, 80384
28469, livesIn, 43659
43659, isLocatedIn, 89823
34671, isLocatedIn, 96498
34671, isLocatedIn, 43659
Question: For what reason are Elizabeth_Bear and Nilgiris_district associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Elizabeth_Bear",
"Nilgiris_district"
],
"valid_edges": [
[
"Elizabeth_Bear",
"hasGender",
"female"
],
[
"Gautami_Tadimalla",
"hasGender",
"female"
],
[
"Gautami_Tadimalla",
"livesIn",
"Tamil_Nadu"
],
[
"Jayalalithaa",
"hasGender",
"female"
],
[
"Jayalalithaa",
"isLeaderOf",
"Tamil_Nadu"
],
[
"Jayalalithaa",
"isPoliticianOf",
"Tamil_Nadu"
],
[
"Nilgiris_district",
"isLocatedIn",
"Tamil_Nadu"
],
[
"Ooty",
"isLocatedIn",
"India"
],
[
"Ooty",
"isLocatedIn",
"Nilgiris_district"
],
[
"Ooty",
"isLocatedIn",
"Tamil_Nadu"
],
[
"Saritha",
"hasGender",
"female"
],
[
"Saritha",
"livesIn",
"Tamil_Nadu"
],
[
"Tamil_Nadu",
"isLocatedIn",
"India"
],
[
"Western_Ghats",
"isLocatedIn",
"Ooty"
],
[
"Western_Ghats",
"isLocatedIn",
"Tamil_Nadu"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
89812, Giuseppe_Signori
60109, Hammarby_IF
18968, Iraklis_Thessaloniki_F.C.
85974, José_Monteiro_de_Macedo
15404, Kennedy_Bakircioglü
src, edge_attr, dst
89812, isAffiliatedTo, 18968
89812, playsFor, 18968
85974, isAffiliatedTo, 60109
85974, playsFor, 60109
15404, isAffiliatedTo, 60109
15404, isAffiliatedTo, 18968
15404, playsFor, 60109
15404, playsFor, 18968
Question: For what reason are Giuseppe_Signori and José_Monteiro_de_Macedo associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Giuseppe_Signori",
"José_Monteiro_de_Macedo"
],
"valid_edges": [
[
"Giuseppe_Signori",
"isAffiliatedTo",
"Iraklis_Thessaloniki_F.C."
],
[
"Giuseppe_Signori",
"playsFor",
"Iraklis_Thessaloniki_F.C."
],
[
"José_Monteiro_de_Macedo",
"isAffiliatedTo",
"Hammarby_IF"
],
[
"José_Monteiro_de_Macedo",
"playsFor",
"Hammarby_IF"
],
[
"Kennedy_Bakircioglü",
"isAffiliatedTo",
"Hammarby_IF"
],
[
"Kennedy_Bakircioglü",
"isAffiliatedTo",
"Iraklis_Thessaloniki_F.C."
],
[
"Kennedy_Bakircioglü",
"playsFor",
"Hammarby_IF"
],
[
"Kennedy_Bakircioglü",
"playsFor",
"Iraklis_Thessaloniki_F.C."
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
84172, Agata_Tarczyńska
64664, Agnieszka_Holland
28459, Anatol_Stern
15308, Anna_Jagiellon
4371, Anne_of_Austria,_Queen_of_Poland
42478, Antoni_Malczewski
121651, Antoni_Zygmund
117130, Battle_of_Warsaw_(1656)
38872, Benoit_Mandelbrot
89853, Bolesław_Prus
25689, Camp_of_National_Unity
116575, Cezary_Trybański
87457, Civic_Platform
24623, College_of_Europe
93774, Constance_of_Austria
97146, Democratic_Left_Alliance
111744, Europe
103060, Francine_du_Plessix_Gray
110381, Gabriela_Zapolska
105910, Helene_Deutsch
19075, Henryk_Jabłoński
631, Jacek_Kuroń
111417, Jadwiga_Piłsudska
59494, Jarosław_Kaczyński
86342, John_Maurice_Hauke
88323, Joseph_Rotblat
81984, Józef_Cyrankiewicz
44134, Józef_Gosławski_(sculptor)
42501, Józef_Piłsudski
114633, Katarzyna_Skowrońska
117810, Katarzyna_Sobieska
89132, Kazimierz_Marcinkiewicz
6355, Lech_Kaczyński
48707, Legia_Warszawa_(ice_hockey)
21054, Leopold_Infeld
101350, MGM_HD
42064, Marian_Spychalski
46249, Marie_Curie
6263, Medical_University_of_Warsaw
69710, Mieczysław_Rakowski
87495, Mokotów
42871, National_Party_(Poland)
24126, Nonpartisan_Bloc_for_Cooperation_with_the_Government
67382, Paul_Erdős
41609, People's_Party_(Poland)
6049, Piotr_Jaroszewicz
59225, Poland
110959, Poland_Comes_First
106903, Polish_Academy_of_Sciences
35691, Polish_Christian_Democratic_Party
106470, Polish_People's_Party
55195, Polish_People's_Party_\u0022Piast\u0022
95979, Polish_Socialist_Party
96960, Popular_National_Union
3582, Royal_Castle,_Warsaw
1606, Stanisław_Mackiewicz
54829, Stanisław_Wojciechowski
107152, Stefan_Mazurkiewicz
38410, Tadeusz_Mazowiecki
50373, Telewizja_Polska
40890, Twinkle_Khanna
13116, University_of_Warsaw
115225, Viacom_International_Media_Networks_(Europe)
75579, Warsaw
28523, Warsaw_Ghetto_Uprising
101906, Warsaw_School_of_Economics
42639, Warsaw_University_of_Life_Sciences
62831, Warsaw_University_of_Technology
60054, Warsaw_Uprising
120174, Wojciech_Jaruzelski
106664, Wola
42847, World_Series_of_Snooker_2008/2009
105391, Włodzimierz_Cimoszewicz
120252, Xawery_Dunikowski
21301, Zbigniew_Herbert
79692, Zbigniew_Messner
98370, Zuzanna_Ginczanka
80384, female
77622, Śródmieście,_Warsaw
src, edge_attr, dst
84172, hasGender, 80384
84172, wasBornIn, 75579
64664, hasGender, 80384
64664, wasBornIn, 75579
28459, diedIn, 75579
28459, isCitizenOf, 59225
28459, wasBornIn, 75579
15308, diedIn, 75579
15308, hasGender, 80384
4371, diedIn, 75579
4371, hasGender, 80384
42478, diedIn, 75579
42478, isCitizenOf, 59225
42478, wasBornIn, 75579
121651, isCitizenOf, 59225
121651, wasBornIn, 75579
117130, happenedIn, 59225
117130, happenedIn, 75579
117130, isLocatedIn, 59225
117130, isLocatedIn, 75579
38872, livesIn, 59225
38872, wasBornIn, 75579
89853, diedIn, 75579
89853, isCitizenOf, 59225
25689, isLocatedIn, 59225
25689, isLocatedIn, 75579
116575, isCitizenOf, 59225
116575, wasBornIn, 75579
87457, isLocatedIn, 59225
87457, isLocatedIn, 75579
24623, isLocatedIn, 59225
24623, isLocatedIn, 75579
93774, diedIn, 75579
93774, hasGender, 80384
97146, isLocatedIn, 59225
97146, isLocatedIn, 75579
103060, hasGender, 80384
103060, wasBornIn, 75579
110381, hasGender, 80384
110381, isCitizenOf, 59225
105910, hasGender, 80384
105910, isCitizenOf, 59225
19075, diedIn, 75579
19075, isCitizenOf, 59225
19075, isPoliticianOf, 59225
631, diedIn, 75579
631, isPoliticianOf, 59225
111417, hasGender, 80384
111417, wasBornIn, 75579
59494, isPoliticianOf, 59225
59494, wasBornIn, 75579
86342, diedIn, 75579
86342, isPoliticianOf, 59225
88323, isCitizenOf, 59225
88323, wasBornIn, 75579
81984, diedIn, 75579
81984, isPoliticianOf, 59225
44134, diedIn, 75579
44134, isCitizenOf, 59225
42501, diedIn, 75579
42501, isPoliticianOf, 59225
114633, hasGender, 80384
114633, wasBornIn, 75579
117810, diedIn, 75579
117810, hasGender, 80384
89132, isPoliticianOf, 59225
89132, isPoliticianOf, 75579
6355, isPoliticianOf, 59225
6355, isPoliticianOf, 75579
6355, wasBornIn, 75579
48707, isLocatedIn, 59225
48707, isLocatedIn, 75579
21054, diedIn, 75579
21054, isCitizenOf, 59225
21054, livesIn, 59225
101350, isLocatedIn, 59225
101350, isLocatedIn, 75579
42064, diedIn, 75579
42064, isPoliticianOf, 59225
42064, isPoliticianOf, 75579
46249, hasGender, 80384
46249, isCitizenOf, 59225
46249, wasBornIn, 75579
6263, isLocatedIn, 59225
6263, isLocatedIn, 75579
69710, diedIn, 75579
69710, isPoliticianOf, 59225
87495, isLocatedIn, 59225
87495, isLocatedIn, 75579
42871, isLocatedIn, 59225
42871, isLocatedIn, 75579
24126, isLocatedIn, 59225
24126, isLocatedIn, 75579
67382, diedIn, 75579
67382, isCitizenOf, 59225
41609, isLocatedIn, 59225
41609, isLocatedIn, 75579
6049, diedIn, 75579
6049, isPoliticianOf, 59225
59225, hasCapital, 75579
59225, isLocatedIn, 111744
110959, isLocatedIn, 59225
110959, isLocatedIn, 75579
106903, isLocatedIn, 59225
106903, isLocatedIn, 75579
35691, isLocatedIn, 59225
35691, isLocatedIn, 75579
106470, isLocatedIn, 59225
106470, isLocatedIn, 75579
55195, isLocatedIn, 59225
55195, isLocatedIn, 75579
95979, isLocatedIn, 59225
95979, isLocatedIn, 75579
96960, isLocatedIn, 59225
96960, isLocatedIn, 75579
3582, isLocatedIn, 59225
3582, isLocatedIn, 75579
1606, diedIn, 75579
1606, isPoliticianOf, 59225
54829, diedIn, 75579
54829, isPoliticianOf, 59225
107152, isCitizenOf, 59225
107152, wasBornIn, 75579
38410, diedIn, 75579
38410, isPoliticianOf, 59225
50373, isLocatedIn, 59225
50373, isLocatedIn, 75579
40890, hasGender, 80384
13116, isLocatedIn, 59225
13116, isLocatedIn, 75579
115225, isLocatedIn, 59225
115225, isLocatedIn, 75579
75579, isLocatedIn, 111744
75579, isLocatedIn, 59225
28523, happenedIn, 59225
28523, happenedIn, 75579
101906, isLocatedIn, 59225
101906, isLocatedIn, 75579
42639, isLocatedIn, 59225
42639, isLocatedIn, 75579
62831, isLocatedIn, 59225
62831, isLocatedIn, 75579
60054, happenedIn, 59225
60054, happenedIn, 75579
60054, isLocatedIn, 75579
120174, diedIn, 75579
120174, isPoliticianOf, 59225
106664, isLocatedIn, 59225
106664, isLocatedIn, 75579
42847, happenedIn, 75579
42847, isLocatedIn, 59225
42847, isLocatedIn, 75579
105391, isPoliticianOf, 59225
105391, wasBornIn, 75579
120252, diedIn, 75579
120252, isCitizenOf, 59225
21301, diedIn, 75579
21301, isCitizenOf, 59225
79692, diedIn, 75579
79692, isPoliticianOf, 59225
98370, hasGender, 80384
98370, isCitizenOf, 59225
77622, isLocatedIn, 59225
77622, isLocatedIn, 75579
Question: How are Piotr_Jaroszewicz and Twinkle_Khanna related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Piotr_Jaroszewicz",
"Twinkle_Khanna"
],
"valid_edges": [
[
"Agata_Tarczyńska",
"hasGender",
"female"
],
[
"Agata_Tarczyńska",
"wasBornIn",
"Warsaw"
],
[
"Agnieszka_Holland",
"hasGender",
"female"
],
[
"Agnieszka_Holland",
"wasBornIn",
"Warsaw"
],
[
"Anatol_Stern",
"diedIn",
"Warsaw"
],
[
"Anatol_Stern",
"isCitizenOf",
"Poland"
],
[
"Anatol_Stern",
"wasBornIn",
"Warsaw"
],
[
"Anna_Jagiellon",
"diedIn",
"Warsaw"
],
[
"Anna_Jagiellon",
"hasGender",
"female"
],
[
"Anne_of_Austria,_Queen_of_Poland",
"diedIn",
"Warsaw"
],
[
"Anne_of_Austria,_Queen_of_Poland",
"hasGender",
"female"
],
[
"Antoni_Malczewski",
"diedIn",
"Warsaw"
],
[
"Antoni_Malczewski",
"isCitizenOf",
"Poland"
],
[
"Antoni_Malczewski",
"wasBornIn",
"Warsaw"
],
[
"Antoni_Zygmund",
"isCitizenOf",
"Poland"
],
[
"Antoni_Zygmund",
"wasBornIn",
"Warsaw"
],
[
"Battle_of_Warsaw_(1656)",
"happenedIn",
"Poland"
],
[
"Battle_of_Warsaw_(1656)",
"happenedIn",
"Warsaw"
],
[
"Battle_of_Warsaw_(1656)",
"isLocatedIn",
"Poland"
],
[
"Battle_of_Warsaw_(1656)",
"isLocatedIn",
"Warsaw"
],
[
"Benoit_Mandelbrot",
"livesIn",
"Poland"
],
[
"Benoit_Mandelbrot",
"wasBornIn",
"Warsaw"
],
[
"Bolesław_Prus",
"diedIn",
"Warsaw"
],
[
"Bolesław_Prus",
"isCitizenOf",
"Poland"
],
[
"Camp_of_National_Unity",
"isLocatedIn",
"Poland"
],
[
"Camp_of_National_Unity",
"isLocatedIn",
"Warsaw"
],
[
"Cezary_Trybański",
"isCitizenOf",
"Poland"
],
[
"Cezary_Trybański",
"wasBornIn",
"Warsaw"
],
[
"Civic_Platform",
"isLocatedIn",
"Poland"
],
[
"Civic_Platform",
"isLocatedIn",
"Warsaw"
],
[
"College_of_Europe",
"isLocatedIn",
"Poland"
],
[
"College_of_Europe",
"isLocatedIn",
"Warsaw"
],
[
"Constance_of_Austria",
"diedIn",
"Warsaw"
],
[
"Constance_of_Austria",
"hasGender",
"female"
],
[
"Democratic_Left_Alliance",
"isLocatedIn",
"Poland"
],
[
"Democratic_Left_Alliance",
"isLocatedIn",
"Warsaw"
],
[
"Francine_du_Plessix_Gray",
"hasGender",
"female"
],
[
"Francine_du_Plessix_Gray",
"wasBornIn",
"Warsaw"
],
[
"Gabriela_Zapolska",
"hasGender",
"female"
],
[
"Gabriela_Zapolska",
"isCitizenOf",
"Poland"
],
[
"Helene_Deutsch",
"hasGender",
"female"
],
[
"Helene_Deutsch",
"isCitizenOf",
"Poland"
],
[
"Henryk_Jabłoński",
"diedIn",
"Warsaw"
],
[
"Henryk_Jabłoński",
"isCitizenOf",
"Poland"
],
[
"Henryk_Jabłoński",
"isPoliticianOf",
"Poland"
],
[
"Jacek_Kuroń",
"diedIn",
"Warsaw"
],
[
"Jacek_Kuroń",
"isPoliticianOf",
"Poland"
],
[
"Jadwiga_Piłsudska",
"hasGender",
"female"
],
[
"Jadwiga_Piłsudska",
"wasBornIn",
"Warsaw"
],
[
"Jarosław_Kaczyński",
"isPoliticianOf",
"Poland"
],
[
"Jarosław_Kaczyński",
"wasBornIn",
"Warsaw"
],
[
"John_Maurice_Hauke",
"diedIn",
"Warsaw"
],
[
"John_Maurice_Hauke",
"isPoliticianOf",
"Poland"
],
[
"Joseph_Rotblat",
"isCitizenOf",
"Poland"
],
[
"Joseph_Rotblat",
"wasBornIn",
"Warsaw"
],
[
"Józef_Cyrankiewicz",
"diedIn",
"Warsaw"
],
[
"Józef_Cyrankiewicz",
"isPoliticianOf",
"Poland"
],
[
"Józef_Gosławski_(sculptor)",
"diedIn",
"Warsaw"
],
[
"Józef_Gosławski_(sculptor)",
"isCitizenOf",
"Poland"
],
[
"Józef_Piłsudski",
"diedIn",
"Warsaw"
],
[
"Józef_Piłsudski",
"isPoliticianOf",
"Poland"
],
[
"Katarzyna_Skowrońska",
"hasGender",
"female"
],
[
"Katarzyna_Skowrońska",
"wasBornIn",
"Warsaw"
],
[
"Katarzyna_Sobieska",
"diedIn",
"Warsaw"
],
[
"Katarzyna_Sobieska",
"hasGender",
"female"
],
[
"Kazimierz_Marcinkiewicz",
"isPoliticianOf",
"Poland"
],
[
"Kazimierz_Marcinkiewicz",
"isPoliticianOf",
"Warsaw"
],
[
"Lech_Kaczyński",
"isPoliticianOf",
"Poland"
],
[
"Lech_Kaczyński",
"isPoliticianOf",
"Warsaw"
],
[
"Lech_Kaczyński",
"wasBornIn",
"Warsaw"
],
[
"Legia_Warszawa_(ice_hockey)",
"isLocatedIn",
"Poland"
],
[
"Legia_Warszawa_(ice_hockey)",
"isLocatedIn",
"Warsaw"
],
[
"Leopold_Infeld",
"diedIn",
"Warsaw"
],
[
"Leopold_Infeld",
"isCitizenOf",
"Poland"
],
[
"Leopold_Infeld",
"livesIn",
"Poland"
],
[
"MGM_HD",
"isLocatedIn",
"Poland"
],
[
"MGM_HD",
"isLocatedIn",
"Warsaw"
],
[
"Marian_Spychalski",
"diedIn",
"Warsaw"
],
[
"Marian_Spychalski",
"isPoliticianOf",
"Poland"
],
[
"Marian_Spychalski",
"isPoliticianOf",
"Warsaw"
],
[
"Marie_Curie",
"hasGender",
"female"
],
[
"Marie_Curie",
"isCitizenOf",
"Poland"
],
[
"Marie_Curie",
"wasBornIn",
"Warsaw"
],
[
"Medical_University_of_Warsaw",
"isLocatedIn",
"Poland"
],
[
"Medical_University_of_Warsaw",
"isLocatedIn",
"Warsaw"
],
[
"Mieczysław_Rakowski",
"diedIn",
"Warsaw"
],
[
"Mieczysław_Rakowski",
"isPoliticianOf",
"Poland"
],
[
"Mokotów",
"isLocatedIn",
"Poland"
],
[
"Mokotów",
"isLocatedIn",
"Warsaw"
],
[
"National_Party_(Poland)",
"isLocatedIn",
"Poland"
],
[
"National_Party_(Poland)",
"isLocatedIn",
"Warsaw"
],
[
"Nonpartisan_Bloc_for_Cooperation_with_the_Government",
"isLocatedIn",
"Poland"
],
[
"Nonpartisan_Bloc_for_Cooperation_with_the_Government",
"isLocatedIn",
"Warsaw"
],
[
"Paul_Erdős",
"diedIn",
"Warsaw"
],
[
"Paul_Erdős",
"isCitizenOf",
"Poland"
],
[
"People's_Party_(Poland)",
"isLocatedIn",
"Poland"
],
[
"People's_Party_(Poland)",
"isLocatedIn",
"Warsaw"
],
[
"Piotr_Jaroszewicz",
"diedIn",
"Warsaw"
],
[
"Piotr_Jaroszewicz",
"isPoliticianOf",
"Poland"
],
[
"Poland",
"hasCapital",
"Warsaw"
],
[
"Poland",
"isLocatedIn",
"Europe"
],
[
"Poland_Comes_First",
"isLocatedIn",
"Poland"
],
[
"Poland_Comes_First",
"isLocatedIn",
"Warsaw"
],
[
"Polish_Academy_of_Sciences",
"isLocatedIn",
"Poland"
],
[
"Polish_Academy_of_Sciences",
"isLocatedIn",
"Warsaw"
],
[
"Polish_Christian_Democratic_Party",
"isLocatedIn",
"Poland"
],
[
"Polish_Christian_Democratic_Party",
"isLocatedIn",
"Warsaw"
],
[
"Polish_People's_Party",
"isLocatedIn",
"Poland"
],
[
"Polish_People's_Party",
"isLocatedIn",
"Warsaw"
],
[
"Polish_People's_Party_\\u0022Piast\\u0022",
"isLocatedIn",
"Poland"
],
[
"Polish_People's_Party_\\u0022Piast\\u0022",
"isLocatedIn",
"Warsaw"
],
[
"Polish_Socialist_Party",
"isLocatedIn",
"Poland"
],
[
"Polish_Socialist_Party",
"isLocatedIn",
"Warsaw"
],
[
"Popular_National_Union",
"isLocatedIn",
"Poland"
],
[
"Popular_National_Union",
"isLocatedIn",
"Warsaw"
],
[
"Royal_Castle,_Warsaw",
"isLocatedIn",
"Poland"
],
[
"Royal_Castle,_Warsaw",
"isLocatedIn",
"Warsaw"
],
[
"Stanisław_Mackiewicz",
"diedIn",
"Warsaw"
],
[
"Stanisław_Mackiewicz",
"isPoliticianOf",
"Poland"
],
[
"Stanisław_Wojciechowski",
"diedIn",
"Warsaw"
],
[
"Stanisław_Wojciechowski",
"isPoliticianOf",
"Poland"
],
[
"Stefan_Mazurkiewicz",
"isCitizenOf",
"Poland"
],
[
"Stefan_Mazurkiewicz",
"wasBornIn",
"Warsaw"
],
[
"Tadeusz_Mazowiecki",
"diedIn",
"Warsaw"
],
[
"Tadeusz_Mazowiecki",
"isPoliticianOf",
"Poland"
],
[
"Telewizja_Polska",
"isLocatedIn",
"Poland"
],
[
"Telewizja_Polska",
"isLocatedIn",
"Warsaw"
],
[
"Twinkle_Khanna",
"hasGender",
"female"
],
[
"University_of_Warsaw",
"isLocatedIn",
"Poland"
],
[
"University_of_Warsaw",
"isLocatedIn",
"Warsaw"
],
[
"Viacom_International_Media_Networks_(Europe)",
"isLocatedIn",
"Poland"
],
[
"Viacom_International_Media_Networks_(Europe)",
"isLocatedIn",
"Warsaw"
],
[
"Warsaw",
"isLocatedIn",
"Europe"
],
[
"Warsaw",
"isLocatedIn",
"Poland"
],
[
"Warsaw_Ghetto_Uprising",
"happenedIn",
"Poland"
],
[
"Warsaw_Ghetto_Uprising",
"happenedIn",
"Warsaw"
],
[
"Warsaw_School_of_Economics",
"isLocatedIn",
"Poland"
],
[
"Warsaw_School_of_Economics",
"isLocatedIn",
"Warsaw"
],
[
"Warsaw_University_of_Life_Sciences",
"isLocatedIn",
"Poland"
],
[
"Warsaw_University_of_Life_Sciences",
"isLocatedIn",
"Warsaw"
],
[
"Warsaw_University_of_Technology",
"isLocatedIn",
"Poland"
],
[
"Warsaw_University_of_Technology",
"isLocatedIn",
"Warsaw"
],
[
"Warsaw_Uprising",
"happenedIn",
"Poland"
],
[
"Warsaw_Uprising",
"happenedIn",
"Warsaw"
],
[
"Warsaw_Uprising",
"isLocatedIn",
"Warsaw"
],
[
"Wojciech_Jaruzelski",
"diedIn",
"Warsaw"
],
[
"Wojciech_Jaruzelski",
"isPoliticianOf",
"Poland"
],
[
"Wola",
"isLocatedIn",
"Poland"
],
[
"Wola",
"isLocatedIn",
"Warsaw"
],
[
"World_Series_of_Snooker_2008/2009",
"happenedIn",
"Warsaw"
],
[
"World_Series_of_Snooker_2008/2009",
"isLocatedIn",
"Poland"
],
[
"World_Series_of_Snooker_2008/2009",
"isLocatedIn",
"Warsaw"
],
[
"Włodzimierz_Cimoszewicz",
"isPoliticianOf",
"Poland"
],
[
"Włodzimierz_Cimoszewicz",
"wasBornIn",
"Warsaw"
],
[
"Xawery_Dunikowski",
"diedIn",
"Warsaw"
],
[
"Xawery_Dunikowski",
"isCitizenOf",
"Poland"
],
[
"Zbigniew_Herbert",
"diedIn",
"Warsaw"
],
[
"Zbigniew_Herbert",
"isCitizenOf",
"Poland"
],
[
"Zbigniew_Messner",
"diedIn",
"Warsaw"
],
[
"Zbigniew_Messner",
"isPoliticianOf",
"Poland"
],
[
"Zuzanna_Ginczanka",
"hasGender",
"female"
],
[
"Zuzanna_Ginczanka",
"isCitizenOf",
"Poland"
],
[
"Śródmieście,_Warsaw",
"isLocatedIn",
"Poland"
],
[
"Śródmieście,_Warsaw",
"isLocatedIn",
"Warsaw"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
113527, Chris_McAlpine
11987, Fail-Safe_(film)
115301, Henry_Fonda
29541, Larry_Hagman
75397, University_of_Minnesota
src, edge_attr, dst
113527, isAffiliatedTo, 75397
115301, actedIn, 11987
115301, graduatedFrom, 75397
29541, actedIn, 11987
Question: For what reason are Chris_McAlpine and Larry_Hagman associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Chris_McAlpine",
"Larry_Hagman"
],
"valid_edges": [
[
"Chris_McAlpine",
"isAffiliatedTo",
"University_of_Minnesota"
],
[
"Henry_Fonda",
"actedIn",
"Fail-Safe_(film)"
],
[
"Henry_Fonda",
"graduatedFrom",
"University_of_Minnesota"
],
[
"Larry_Hagman",
"actedIn",
"Fail-Safe_(film)"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
105063, Ezequiel_Maggiolo
79145, Sabyasachi_Chakrabarty
118104, male
src, edge_attr, dst
105063, hasGender, 118104
79145, hasGender, 118104
Question: In what context are Ezequiel_Maggiolo and Sabyasachi_Chakrabarty connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Ezequiel_Maggiolo",
"Sabyasachi_Chakrabarty"
],
"valid_edges": [
[
"Ezequiel_Maggiolo",
"hasGender",
"male"
],
[
"Sabyasachi_Chakrabarty",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
103782, Hancock_(film)
58225, Scottrade_Center
29157, United_States
src, edge_attr, dst
103782, isLocatedIn, 29157
58225, isLocatedIn, 29157
Question: For what reason are Hancock_(film) and Scottrade_Center associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Hancock_(film)",
"Scottrade_Center"
],
"valid_edges": [
[
"Hancock_(film)",
"isLocatedIn",
"United_States"
],
[
"Scottrade_Center",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
61076, Captain_Corelli's_Mandolin_(film)
111744, Europe
26467, Franco_Frattini
11747, Gianfranco_Fini
54393, Harry_Potter_(film_series)
39377, History_(European_TV_channel)
85048, Italian_Communist_Party
28726, Italy
45345, London
115181, MBDA
29123, Massimo_D'Alema
63273, Mick_Audsley
7578, Rome
100654, United_Kingdom
src, edge_attr, dst
61076, isLocatedIn, 100654
26467, wasBornIn, 7578
11747, hasChild, 29123
11747, livesIn, 7578
54393, isLocatedIn, 100654
39377, isLocatedIn, 7578
39377, isLocatedIn, 100654
85048, isLocatedIn, 7578
28726, hasCapital, 7578
45345, isLocatedIn, 100654
115181, isLocatedIn, 7578
115181, isLocatedIn, 100654
29123, hasChild, 26467
29123, isAffiliatedTo, 85048
29123, isPoliticianOf, 28726
29123, wasBornIn, 7578
63273, edited, 61076
63273, edited, 54393
63273, isCitizenOf, 100654
63273, wasBornIn, 45345
7578, isLocatedIn, 111744
7578, isLocatedIn, 28726
100654, hasCapital, 45345
100654, isLocatedIn, 111744
Question: For what reason are Harry_Potter_(film_series) and Italian_Communist_Party associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Harry_Potter_(film_series)",
"Italian_Communist_Party"
],
"valid_edges": [
[
"Captain_Corelli's_Mandolin_(film)",
"isLocatedIn",
"United_Kingdom"
],
[
"Franco_Frattini",
"wasBornIn",
"Rome"
],
[
"Gianfranco_Fini",
"hasChild",
"Massimo_D'Alema"
],
[
"Gianfranco_Fini",
"livesIn",
"Rome"
],
[
"Harry_Potter_(film_series)",
"isLocatedIn",
"United_Kingdom"
],
[
"History_(European_TV_channel)",
"isLocatedIn",
"Rome"
],
[
"History_(European_TV_channel)",
"isLocatedIn",
"United_Kingdom"
],
[
"Italian_Communist_Party",
"isLocatedIn",
"Rome"
],
[
"Italy",
"hasCapital",
"Rome"
],
[
"London",
"isLocatedIn",
"United_Kingdom"
],
[
"MBDA",
"isLocatedIn",
"Rome"
],
[
"MBDA",
"isLocatedIn",
"United_Kingdom"
],
[
"Massimo_D'Alema",
"hasChild",
"Franco_Frattini"
],
[
"Massimo_D'Alema",
"isAffiliatedTo",
"Italian_Communist_Party"
],
[
"Massimo_D'Alema",
"isPoliticianOf",
"Italy"
],
[
"Massimo_D'Alema",
"wasBornIn",
"Rome"
],
[
"Mick_Audsley",
"edited",
"Captain_Corelli's_Mandolin_(film)"
],
[
"Mick_Audsley",
"edited",
"Harry_Potter_(film_series)"
],
[
"Mick_Audsley",
"isCitizenOf",
"United_Kingdom"
],
[
"Mick_Audsley",
"wasBornIn",
"London"
],
[
"Rome",
"isLocatedIn",
"Europe"
],
[
"Rome",
"isLocatedIn",
"Italy"
],
[
"United_Kingdom",
"hasCapital",
"London"
],
[
"United_Kingdom",
"isLocatedIn",
"Europe"
]
],
"ground_truth": [],
"gt_cost": null
}
|
YAGO
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
13058, Aidar_Kumisbekov
57968, Aleksandar_Vasiljević_(footballer)
76959, Aleksandr_Familtsev
103255, Aleksandr_Kuchma
60148, Ali_Aliyev_(footballer)
9453, Alier_Ashurmamadov
73013, Almir_Mukhutdinov
107317, Alyaksandr_Kulchy
47521, Anatolie_Doroș
67615, Andrei_Karpovich
739, Andrius_Velička
91472, Andriy_Annenkov
114345, Anton_Sakharov
11401, Bojan_Simić
60723, Darko_Maletić
38125, David_Loria
92789, Denis_Malinin
50433, Dias_Kamelov
47875, Didargylyç_Urazow
85531, Dimitar_Nakov
119002, Dmitri_Shomko
56496, Eduard_Ratnikov
49219, Eduard_Sergienko
9489, Egidijus_Juška
80851, FC_Alga_Bishkek
62376, FC_Astana
73697, FC_Dnipro_Dnipropetrovsk
117309, FC_Ekibastuzets
55569, FC_Gazovik_Orenburg
118772, FC_Irtysh_Pavlodar
21055, FC_Krasnodar
19605, FC_Lokomotiv_Moscow
111053, FC_Volgar_Astrakhan
36151, FC_Zhemchuzhina-Sochi
22504, FK_Leotar
40765, FK_Mladi_Radnik
18790, FK_Sevojno
3147, FK_Vėtra
4148, Farkhadbek_Irismetov
91048, Fevzi_Davletov
34998, Georgi_Daskalov
14120, Goran_Bošković_(footballer_born_1976)
41167, Goçguly_Goçgulyýew
8774, Igor_Burzanović
39031, Ihor_Chuchman
98921, Ihor_Chumachenko
41349, Kairat_Nurdauletov
103980, Kazakhstan_national_football_team
3703, Kazakhstan_national_under-21_football_team
97214, Konstantin_Yeryomenko
37649, Leonid_Kovel
2872, Maksat_Baizhanov
39762, Maksim_Zhalmagambetov
18455, Mamoutou_Coulibaly
50769, Miguel_Villalta
117425, Milan_Nikolić_(footballer_born_1983)
118045, Miodrag_Anđelković
77884, Murat_Tleshev
18739, Nilton_Pereira_Mendes
47280, Oleg_Veretennikov
79944, Orlin_Starokin
72557, Sabyrkhan_Ibraev
77641, Samat_Smakov
10693, Sergei_Ivanov_(footballer_born_1980)
29906, Sergei_Skorykh
6161, Sergei_Strukov
45623, Sergei_Volgin
45541, Sergey_Timofeev
11389, Serhiy_Skachenko
101187, Slavi_Kostenski
100874, Ulugbek_Bakayev
52485, Veaceslav_Sofroni
76072, Vladimir_Shevchuk
41686, Vladislav_Mirchev
25970, Vladislav_Ternavsky
118104, male
src, edge_attr, dst
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13058, isAffiliatedTo, 118772
13058, isAffiliatedTo, 103980
13058, playsFor, 62376
13058, playsFor, 118772
13058, playsFor, 103980
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57968, playsFor, 118772
57968, playsFor, 22504
57968, playsFor, 40765
57968, playsFor, 18790
76959, hasGender, 118104
76959, isAffiliatedTo, 118772
76959, isAffiliatedTo, 103980
76959, playsFor, 118772
76959, playsFor, 103980
103255, hasGender, 118104
103255, isAffiliatedTo, 62376
103255, isAffiliatedTo, 118772
103255, isAffiliatedTo, 103980
103255, playsFor, 62376
103255, playsFor, 118772
60148, hasGender, 118104
60148, isAffiliatedTo, 118772
60148, isAffiliatedTo, 103980
60148, playsFor, 118772
60148, playsFor, 103980
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9453, isAffiliatedTo, 19605
9453, playsFor, 118772
9453, playsFor, 19605
73013, hasGender, 118104
73013, playsFor, 55569
73013, playsFor, 118772
73013, playsFor, 21055
73013, playsFor, 111053
107317, hasGender, 118104
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107317, isAffiliatedTo, 21055
107317, playsFor, 118772
107317, playsFor, 21055
47521, isAffiliatedTo, 62376
47521, isAffiliatedTo, 118772
47521, playsFor, 62376
47521, playsFor, 118772
67615, hasGender, 118104
67615, isAffiliatedTo, 62376
67615, isAffiliatedTo, 118772
67615, isAffiliatedTo, 103980
67615, playsFor, 62376
67615, playsFor, 118772
67615, playsFor, 103980
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739, playsFor, 118772
91472, isAffiliatedTo, 118772
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91472, playsFor, 118772
114345, hasGender, 118104
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114345, isAffiliatedTo, 118772
114345, playsFor, 55569
114345, playsFor, 118772
11401, hasGender, 118104
11401, playsFor, 118772
11401, playsFor, 22504
11401, playsFor, 40765
11401, playsFor, 18790
60723, hasGender, 118104
60723, isAffiliatedTo, 118772
60723, playsFor, 118772
38125, hasGender, 118104
38125, isAffiliatedTo, 62376
38125, isAffiliatedTo, 118772
38125, isAffiliatedTo, 103980
38125, playsFor, 62376
38125, playsFor, 118772
38125, playsFor, 103980
92789, hasGender, 118104
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92789, playsFor, 19605
92789, playsFor, 36151
92789, playsFor, 3147
92789, playsFor, 103980
50433, hasGender, 118104
50433, isAffiliatedTo, 62376
50433, isAffiliatedTo, 118772
50433, isAffiliatedTo, 103980
50433, playsFor, 62376
50433, playsFor, 118772
50433, playsFor, 103980
47875, hasGender, 118104
47875, isAffiliatedTo, 118772
47875, playsFor, 118772
85531, hasGender, 118104
85531, isAffiliatedTo, 118772
85531, playsFor, 118772
119002, hasGender, 118104
119002, isAffiliatedTo, 118772
119002, isAffiliatedTo, 103980
119002, playsFor, 62376
119002, playsFor, 117309
119002, playsFor, 118772
119002, playsFor, 103980
119002, playsFor, 3703
56496, hasGender, 118104
56496, isAffiliatedTo, 118772
56496, playsFor, 118772
49219, hasGender, 118104
49219, isAffiliatedTo, 62376
49219, isAffiliatedTo, 118772
49219, isAffiliatedTo, 103980
49219, isAffiliatedTo, 3703
49219, playsFor, 62376
49219, playsFor, 118772
49219, playsFor, 103980
49219, playsFor, 3703
9489, hasGender, 118104
9489, isAffiliatedTo, 118772
9489, isAffiliatedTo, 3147
9489, playsFor, 118772
9489, playsFor, 3147
4148, hasGender, 118104
4148, isAffiliatedTo, 118772
4148, isAffiliatedTo, 103980
4148, playsFor, 118772
4148, playsFor, 103980
91048, hasGender, 118104
91048, isAffiliatedTo, 118772
34998, hasGender, 118104
34998, isAffiliatedTo, 118772
34998, playsFor, 118772
14120, hasGender, 118104
14120, playsFor, 118772
41167, hasGender, 118104
41167, isAffiliatedTo, 118772
41167, playsFor, 118772
8774, hasGender, 118104
8774, isAffiliatedTo, 118772
8774, playsFor, 118772
39031, hasGender, 118104
39031, isAffiliatedTo, 118772
39031, isAffiliatedTo, 103980
39031, playsFor, 118772
39031, playsFor, 103980
98921, hasGender, 118104
98921, playsFor, 118772
41349, isAffiliatedTo, 62376
41349, isAffiliatedTo, 118772
41349, isAffiliatedTo, 103980
41349, playsFor, 118772
41349, playsFor, 103980
97214, hasGender, 118104
97214, playsFor, 80851
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97214, playsFor, 118772
37649, hasGender, 118104
37649, isAffiliatedTo, 118772
37649, playsFor, 118772
2872, hasGender, 118104
2872, isAffiliatedTo, 62376
2872, isAffiliatedTo, 118772
2872, isAffiliatedTo, 103980
2872, isAffiliatedTo, 3703
2872, playsFor, 62376
2872, playsFor, 118772
2872, playsFor, 103980
2872, playsFor, 3703
39762, hasGender, 118104
39762, isAffiliatedTo, 62376
39762, isAffiliatedTo, 117309
39762, isAffiliatedTo, 118772
39762, isAffiliatedTo, 103980
39762, playsFor, 62376
39762, playsFor, 117309
39762, playsFor, 118772
39762, playsFor, 103980
18455, hasGender, 118104
18455, isAffiliatedTo, 118772
18455, playsFor, 118772
50769, hasGender, 118104
117425, hasGender, 118104
117425, playsFor, 118772
118045, hasGender, 118104
118045, isAffiliatedTo, 118772
118045, playsFor, 118772
77884, hasGender, 118104
77884, isAffiliatedTo, 62376
77884, isAffiliatedTo, 118772
77884, isAffiliatedTo, 103980
77884, playsFor, 62376
77884, playsFor, 118772
77884, playsFor, 103980
18739, hasGender, 118104
18739, isAffiliatedTo, 36151
18739, playsFor, 118772
18739, playsFor, 36151
47280, hasGender, 118104
47280, isAffiliatedTo, 118772
47280, playsFor, 118772
79944, hasGender, 118104
79944, isAffiliatedTo, 118772
79944, playsFor, 118772
72557, hasGender, 118104
72557, isAffiliatedTo, 118772
72557, isAffiliatedTo, 103980
72557, playsFor, 118772
72557, playsFor, 103980
77641, hasGender, 118104
77641, isAffiliatedTo, 62376
77641, isAffiliatedTo, 118772
77641, isAffiliatedTo, 103980
77641, playsFor, 62376
77641, playsFor, 118772
77641, playsFor, 103980
10693, hasGender, 118104
10693, isAffiliatedTo, 80851
10693, isAffiliatedTo, 117309
10693, isAffiliatedTo, 118772
10693, playsFor, 80851
10693, playsFor, 117309
10693, playsFor, 118772
29906, hasGender, 118104
29906, isAffiliatedTo, 118772
29906, isAffiliatedTo, 103980
29906, playsFor, 118772
29906, playsFor, 103980
6161, hasGender, 118104
6161, isAffiliatedTo, 118772
6161, playsFor, 118772
45623, hasGender, 118104
45623, isAffiliatedTo, 118772
45541, hasGender, 118104
45541, isAffiliatedTo, 117309
45541, isAffiliatedTo, 118772
45541, isAffiliatedTo, 103980
45541, playsFor, 117309
45541, playsFor, 118772
45541, playsFor, 103980
11389, hasGender, 118104
11389, isAffiliatedTo, 118772
11389, playsFor, 118772
101187, hasGender, 118104
101187, isAffiliatedTo, 118772
101187, playsFor, 118772
100874, hasGender, 118104
100874, isAffiliatedTo, 118772
100874, playsFor, 118772
52485, hasGender, 118104
52485, isAffiliatedTo, 3147
52485, playsFor, 118772
52485, playsFor, 3147
76072, hasGender, 118104
76072, isAffiliatedTo, 19605
76072, playsFor, 73697
76072, playsFor, 118772
76072, playsFor, 19605
41686, hasGender, 118104
41686, isAffiliatedTo, 118772
41686, playsFor, 118772
25970, hasGender, 118104
25970, isAffiliatedTo, 118772
25970, isAffiliatedTo, 111053
25970, playsFor, 118772
25970, playsFor, 111053
Question: For what reason are FC_Irtysh_Pavlodar and Miguel_Villalta associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"FC_Irtysh_Pavlodar",
"Miguel_Villalta"
],
"valid_edges": [
[
"Aidar_Kumisbekov",
"hasGender",
"male"
],
[
"Aidar_Kumisbekov",
"isAffiliatedTo",
"FC_Astana"
],
[
"Aidar_Kumisbekov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Aidar_Kumisbekov",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Aidar_Kumisbekov",
"playsFor",
"FC_Astana"
],
[
"Aidar_Kumisbekov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Aidar_Kumisbekov",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Aleksandar_Vasiljević_(footballer)",
"hasGender",
"male"
],
[
"Aleksandar_Vasiljević_(footballer)",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Aleksandar_Vasiljević_(footballer)",
"playsFor",
"FK_Leotar"
],
[
"Aleksandar_Vasiljević_(footballer)",
"playsFor",
"FK_Mladi_Radnik"
],
[
"Aleksandar_Vasiljević_(footballer)",
"playsFor",
"FK_Sevojno"
],
[
"Aleksandr_Familtsev",
"hasGender",
"male"
],
[
"Aleksandr_Familtsev",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Aleksandr_Familtsev",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Aleksandr_Familtsev",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Aleksandr_Familtsev",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Aleksandr_Kuchma",
"hasGender",
"male"
],
[
"Aleksandr_Kuchma",
"isAffiliatedTo",
"FC_Astana"
],
[
"Aleksandr_Kuchma",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Aleksandr_Kuchma",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Aleksandr_Kuchma",
"playsFor",
"FC_Astana"
],
[
"Aleksandr_Kuchma",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Ali_Aliyev_(footballer)",
"hasGender",
"male"
],
[
"Ali_Aliyev_(footballer)",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Ali_Aliyev_(footballer)",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Ali_Aliyev_(footballer)",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Ali_Aliyev_(footballer)",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Alier_Ashurmamadov",
"hasGender",
"male"
],
[
"Alier_Ashurmamadov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Alier_Ashurmamadov",
"isAffiliatedTo",
"FC_Lokomotiv_Moscow"
],
[
"Alier_Ashurmamadov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Alier_Ashurmamadov",
"playsFor",
"FC_Lokomotiv_Moscow"
],
[
"Almir_Mukhutdinov",
"hasGender",
"male"
],
[
"Almir_Mukhutdinov",
"playsFor",
"FC_Gazovik_Orenburg"
],
[
"Almir_Mukhutdinov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Almir_Mukhutdinov",
"playsFor",
"FC_Krasnodar"
],
[
"Almir_Mukhutdinov",
"playsFor",
"FC_Volgar_Astrakhan"
],
[
"Alyaksandr_Kulchy",
"hasGender",
"male"
],
[
"Alyaksandr_Kulchy",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Alyaksandr_Kulchy",
"isAffiliatedTo",
"FC_Krasnodar"
],
[
"Alyaksandr_Kulchy",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Alyaksandr_Kulchy",
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"FC_Krasnodar"
],
[
"Anatolie_Doroș",
"isAffiliatedTo",
"FC_Astana"
],
[
"Anatolie_Doroș",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Anatolie_Doroș",
"playsFor",
"FC_Astana"
],
[
"Anatolie_Doroș",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Andrei_Karpovich",
"hasGender",
"male"
],
[
"Andrei_Karpovich",
"isAffiliatedTo",
"FC_Astana"
],
[
"Andrei_Karpovich",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Andrei_Karpovich",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Andrei_Karpovich",
"playsFor",
"FC_Astana"
],
[
"Andrei_Karpovich",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Andrei_Karpovich",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Andrius_Velička",
"hasGender",
"male"
],
[
"Andrius_Velička",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Andrius_Velička",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Andriy_Annenkov",
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"FC_Irtysh_Pavlodar"
],
[
"Andriy_Annenkov",
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"FC_Dnipro_Dnipropetrovsk"
],
[
"Andriy_Annenkov",
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"FC_Irtysh_Pavlodar"
],
[
"Anton_Sakharov",
"hasGender",
"male"
],
[
"Anton_Sakharov",
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"FC_Gazovik_Orenburg"
],
[
"Anton_Sakharov",
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"FC_Irtysh_Pavlodar"
],
[
"Anton_Sakharov",
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"FC_Gazovik_Orenburg"
],
[
"Anton_Sakharov",
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"FC_Irtysh_Pavlodar"
],
[
"Bojan_Simić",
"hasGender",
"male"
],
[
"Bojan_Simić",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Bojan_Simić",
"playsFor",
"FK_Leotar"
],
[
"Bojan_Simić",
"playsFor",
"FK_Mladi_Radnik"
],
[
"Bojan_Simić",
"playsFor",
"FK_Sevojno"
],
[
"Darko_Maletić",
"hasGender",
"male"
],
[
"Darko_Maletić",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Darko_Maletić",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"David_Loria",
"hasGender",
"male"
],
[
"David_Loria",
"isAffiliatedTo",
"FC_Astana"
],
[
"David_Loria",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"David_Loria",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"David_Loria",
"playsFor",
"FC_Astana"
],
[
"David_Loria",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"David_Loria",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Denis_Malinin",
"hasGender",
"male"
],
[
"Denis_Malinin",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Denis_Malinin",
"playsFor",
"FC_Lokomotiv_Moscow"
],
[
"Denis_Malinin",
"playsFor",
"FC_Zhemchuzhina-Sochi"
],
[
"Denis_Malinin",
"playsFor",
"FK_Vėtra"
],
[
"Denis_Malinin",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Dias_Kamelov",
"hasGender",
"male"
],
[
"Dias_Kamelov",
"isAffiliatedTo",
"FC_Astana"
],
[
"Dias_Kamelov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Dias_Kamelov",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Dias_Kamelov",
"playsFor",
"FC_Astana"
],
[
"Dias_Kamelov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Dias_Kamelov",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Didargylyç_Urazow",
"hasGender",
"male"
],
[
"Didargylyç_Urazow",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Didargylyç_Urazow",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Dimitar_Nakov",
"hasGender",
"male"
],
[
"Dimitar_Nakov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Dimitar_Nakov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Dmitri_Shomko",
"hasGender",
"male"
],
[
"Dmitri_Shomko",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Dmitri_Shomko",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Dmitri_Shomko",
"playsFor",
"FC_Astana"
],
[
"Dmitri_Shomko",
"playsFor",
"FC_Ekibastuzets"
],
[
"Dmitri_Shomko",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Dmitri_Shomko",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Dmitri_Shomko",
"playsFor",
"Kazakhstan_national_under-21_football_team"
],
[
"Eduard_Ratnikov",
"hasGender",
"male"
],
[
"Eduard_Ratnikov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Eduard_Ratnikov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Eduard_Sergienko",
"hasGender",
"male"
],
[
"Eduard_Sergienko",
"isAffiliatedTo",
"FC_Astana"
],
[
"Eduard_Sergienko",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Eduard_Sergienko",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Eduard_Sergienko",
"isAffiliatedTo",
"Kazakhstan_national_under-21_football_team"
],
[
"Eduard_Sergienko",
"playsFor",
"FC_Astana"
],
[
"Eduard_Sergienko",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Eduard_Sergienko",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Eduard_Sergienko",
"playsFor",
"Kazakhstan_national_under-21_football_team"
],
[
"Egidijus_Juška",
"hasGender",
"male"
],
[
"Egidijus_Juška",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Egidijus_Juška",
"isAffiliatedTo",
"FK_Vėtra"
],
[
"Egidijus_Juška",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Egidijus_Juška",
"playsFor",
"FK_Vėtra"
],
[
"Farkhadbek_Irismetov",
"hasGender",
"male"
],
[
"Farkhadbek_Irismetov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Farkhadbek_Irismetov",
"isAffiliatedTo",
"Kazakhstan_national_football_team"
],
[
"Farkhadbek_Irismetov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Farkhadbek_Irismetov",
"playsFor",
"Kazakhstan_national_football_team"
],
[
"Fevzi_Davletov",
"hasGender",
"male"
],
[
"Fevzi_Davletov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Georgi_Daskalov",
"hasGender",
"male"
],
[
"Georgi_Daskalov",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Georgi_Daskalov",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Goran_Bošković_(footballer_born_1976)",
"hasGender",
"male"
],
[
"Goran_Bošković_(footballer_born_1976)",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
"Goçguly_Goçgulyýew",
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"male"
],
[
"Goçguly_Goçgulyýew",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Goçguly_Goçgulyýew",
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"FC_Irtysh_Pavlodar"
],
[
"Igor_Burzanović",
"hasGender",
"male"
],
[
"Igor_Burzanović",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Igor_Burzanović",
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"FC_Irtysh_Pavlodar"
],
[
"Ihor_Chuchman",
"hasGender",
"male"
],
[
"Ihor_Chuchman",
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"FC_Irtysh_Pavlodar"
],
[
"Ihor_Chuchman",
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"Kazakhstan_national_football_team"
],
[
"Ihor_Chuchman",
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"FC_Irtysh_Pavlodar"
],
[
"Ihor_Chuchman",
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"Kazakhstan_national_football_team"
],
[
"Ihor_Chumachenko",
"hasGender",
"male"
],
[
"Ihor_Chumachenko",
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"FC_Irtysh_Pavlodar"
],
[
"Kairat_Nurdauletov",
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"FC_Astana"
],
[
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[
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],
[
"Kairat_Nurdauletov",
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],
[
"Kairat_Nurdauletov",
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"Kazakhstan_national_football_team"
],
[
"Konstantin_Yeryomenko",
"hasGender",
"male"
],
[
"Konstantin_Yeryomenko",
"playsFor",
"FC_Alga_Bishkek"
],
[
"Konstantin_Yeryomenko",
"playsFor",
"FC_Dnipro_Dnipropetrovsk"
],
[
"Konstantin_Yeryomenko",
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"FC_Irtysh_Pavlodar"
],
[
"Leonid_Kovel",
"hasGender",
"male"
],
[
"Leonid_Kovel",
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"FC_Irtysh_Pavlodar"
],
[
"Leonid_Kovel",
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"FC_Irtysh_Pavlodar"
],
[
"Maksat_Baizhanov",
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"male"
],
[
"Maksat_Baizhanov",
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"FC_Astana"
],
[
"Maksat_Baizhanov",
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"FC_Irtysh_Pavlodar"
],
[
"Maksat_Baizhanov",
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],
[
"Maksat_Baizhanov",
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"Kazakhstan_national_under-21_football_team"
],
[
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],
[
"Maksat_Baizhanov",
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"FC_Irtysh_Pavlodar"
],
[
"Maksat_Baizhanov",
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"Kazakhstan_national_football_team"
],
[
"Maksat_Baizhanov",
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"Kazakhstan_national_under-21_football_team"
],
[
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"male"
],
[
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"FC_Astana"
],
[
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],
[
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],
[
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"Kazakhstan_national_football_team"
],
[
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"FC_Astana"
],
[
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],
[
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],
[
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],
[
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"male"
],
[
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],
[
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],
[
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],
[
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],
[
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"FC_Irtysh_Pavlodar"
],
[
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"male"
],
[
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],
[
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],
[
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],
[
"Murat_Tleshev",
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"FC_Astana"
],
[
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],
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],
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],
[
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],
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],
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],
[
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"FC_Zhemchuzhina-Sochi"
],
[
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"playsFor",
"FC_Irtysh_Pavlodar"
],
[
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"playsFor",
"FC_Zhemchuzhina-Sochi"
],
[
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"hasGender",
"male"
],
[
"Oleg_Veretennikov",
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"FC_Irtysh_Pavlodar"
],
[
"Oleg_Veretennikov",
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],
[
"Orlin_Starokin",
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],
[
"Orlin_Starokin",
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"FC_Irtysh_Pavlodar"
],
[
"Orlin_Starokin",
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"FC_Irtysh_Pavlodar"
],
[
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"male"
],
[
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"FC_Irtysh_Pavlodar"
],
[
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],
[
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],
[
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],
[
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],
[
"Samat_Smakov",
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"FC_Astana"
],
[
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],
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],
[
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],
[
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],
[
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],
[
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"male"
],
[
"Sergei_Ivanov_(footballer_born_1980)",
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"FC_Alga_Bishkek"
],
[
"Sergei_Ivanov_(footballer_born_1980)",
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"FC_Ekibastuzets"
],
[
"Sergei_Ivanov_(footballer_born_1980)",
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"FC_Irtysh_Pavlodar"
],
[
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],
[
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"FC_Ekibastuzets"
],
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"FC_Irtysh_Pavlodar"
],
[
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],
[
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],
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"Kazakhstan_national_football_team"
],
[
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],
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"Kazakhstan_national_football_team"
],
[
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"male"
],
[
"Sergei_Strukov",
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],
[
"Sergei_Strukov",
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],
[
"Sergei_Volgin",
"hasGender",
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],
[
"Sergei_Volgin",
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"FC_Irtysh_Pavlodar"
],
[
"Sergey_Timofeev",
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"male"
],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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"playsFor",
"Kazakhstan_national_football_team"
],
[
"Serhiy_Skachenko",
"hasGender",
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],
[
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"FC_Irtysh_Pavlodar"
],
[
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"FC_Irtysh_Pavlodar"
],
[
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],
[
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],
[
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],
[
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"male"
],
[
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"FC_Irtysh_Pavlodar"
],
[
"Ulugbek_Bakayev",
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"FC_Irtysh_Pavlodar"
],
[
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"hasGender",
"male"
],
[
"Veaceslav_Sofroni",
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"FK_Vėtra"
],
[
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],
[
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],
[
"Vladimir_Shevchuk",
"hasGender",
"male"
],
[
"Vladimir_Shevchuk",
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"FC_Lokomotiv_Moscow"
],
[
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],
[
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],
[
"Vladimir_Shevchuk",
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"FC_Lokomotiv_Moscow"
],
[
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],
[
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],
[
"Vladislav_Mirchev",
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"FC_Irtysh_Pavlodar"
],
[
"Vladislav_Ternavsky",
"hasGender",
"male"
],
[
"Vladislav_Ternavsky",
"isAffiliatedTo",
"FC_Irtysh_Pavlodar"
],
[
"Vladislav_Ternavsky",
"isAffiliatedTo",
"FC_Volgar_Astrakhan"
],
[
"Vladislav_Ternavsky",
"playsFor",
"FC_Irtysh_Pavlodar"
],
[
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"playsFor",
"FC_Volgar_Astrakhan"
]
],
"ground_truth": [],
"gt_cost": null
}
|
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