triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 8 19 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.36k | query stringlengths 85 226 | entity_a stringlengths 3 55 | entity_b stringlengths 4 85 | rel_b stringclasses 88
values | index int64 0 930 | prompt stringlengths 3.62k 3.84k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | usage listlengths 1 1 | raw_path_prediction listlengths 1 1 | source_path listlengths 3 3 | parsed_paths stringlengths 4 6.68k | reasoning_paths listlengths 1 1 | reasoning_0 stringclasses 1
value | paths_0 stringlengths 2 6.68k | factuality_scores_0 listlengths 1 10 | raw_responses_factuality_0 listlengths 1 10 | parsed_scores_factuality_0 listlengths 1 10 | raw_salience_scores_0 listlengths 1 10 | min_salience_scores_0 listlengths 1 10 | salience_raw_responses_0 listlengths 1 10 | validity_per_path_0 listlengths 1 10 | validity_reasons_0 listlengths 1 10 | avg_path_length_0 float64 0 12.4 | num_paths_0 float64 0 10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q1352656",
"P166",
"Q935843"
] | [
"Q356715",
"P166",
"Q935843"
] | [
"Q356715",
"P358",
"Q100871850"
] | [
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"discography",
"Benny Carter discography"
] | Q935843__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | Morton Gould | Benny Carter discography | discography | 0 | Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples... | [
"```json\n{\n \"1\": [\n [\"Morton Gould\", \"recorded for\", \"Columbia Records\"],\n [\"Columbia Records\", \"artist\", \"Benny Carter\"],\n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]\n ],\n \"2\": [\n [\"Morton Gould\", \"conducted\", \"New York Philharmonic\"],\n [\"New ... | [
"Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual ... | [
{
"completion_tokens": 4118,
"prompt_tokens": 898,
"total_tokens": 5016
}
] | [
"```json\n{\n \"1\": [\n [\"Morton Gould\", \"recorded for\", \"Columbia Records\"],\n [\"Columbia Records\", \"artist\", \"Benny Carter\"],\n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"]\n ],\n \"2\": [\n [\"Morton Gould\", \"conducted\", \"New York Philharmonic\"],\n [\"New ... | [
[
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"discography",
"Benny Carter discography"
]
] | [[[["morton gould", "recorded for", "columbia records"], ["columbia records", "artist", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "conducted", "new york philharmonic"], ["new york philharmonic", "performed with", "benny carter"], ["benny carter", "discography", "be... | [
null
] | null | [[["morton gould", "recorded for", "columbia records"], ["columbia records", "artist", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "conducted", "new york philharmonic"], ["new york philharmonic", "performed with", "benny carter"], ["benny carter", "discography", "ben... | [
0,
1,
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"{\n \"explanation\": \"The first triple links composer Morton Gould to Columbia Records with the relation 'recorded for'. Morton Gould was a real composer who made recordings that were released by Columbia Records, so both entities exist and the relationship is accurate. The second triple states that Columbia Rec... | [
[
1,
1,
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[
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[
1,
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[
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[
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2,
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[
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[
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[
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[
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[
2,
2,
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[
1,
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4,
1,
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1
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"[\n {\n \"explanation\": \"Class A (subject‑variation) asks: which subjects have the relation ‘recorded for’ with Columbia Records? Columbia Records is a historic major label that has signed and released recordings by thousands of artists over more than a century, so we estimate roughly 2 000 different subject... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3 | 10 |
[
"Q57067",
"P166",
"Q38104"
] | [
"Q131729",
"P166",
"Q38104"
] | [
"Q131729",
"P106",
"Q593644"
] | [
"Max von Laue",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"occupation",
"chemist"
] | Q38104__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist? | Max von Laue | chemist | occupation | 1 | Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequen... | [
"<answer>\n{\n \"1\": [\n [\"Max von Laue\", \"contemporary with\", \"Otto Hahn\"],\n [\"Otto Hahn\", \"occupation\", \"chemist\"]\n ],\n \"2\": [\n [\"Max von Laue\", \"studied under\", \"Max Planck\"],\n [\"Max Planck\", \"influenced\", \"Walther Nernst\"],\n [\"Walther Nernst\", \"occupation\",... | [
"Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a... | [
{
"completion_tokens": 4749,
"prompt_tokens": 903,
"total_tokens": 5652
}
] | [
"<answer>\n{\n \"1\": [\n [\"Max von Laue\", \"contemporary with\", \"Otto Hahn\"],\n [\"Otto Hahn\", \"occupation\", \"chemist\"]\n ],\n \"2\": [\n [\"Max von Laue\", \"studied under\", \"Max Planck\"],\n [\"Max Planck\", \"influenced\", \"Walther Nernst\"],\n [\"Walther Nernst\", \"occupation\",... | [
[
"Max von Laue",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"occupation",
"chemist"
]
] | [[[["max von laue", "contemporary with", "otto hahn"], ["otto hahn", "occupation", "chemist"]], [["max von laue", "studied under", "max planck"], ["max planck", "influenced", "walther nernst"], ["walther nernst", "occupation", "chemist"]], [["max von laue", "worked at", "university of berlin"], ["university of berlin",... | [
null
] | null | [[["max von laue", "contemporary with", "otto hahn"], ["otto hahn", "occupation", "chemist"]], [["max von laue", "studied under", "max planck"], ["max planck", "influenced", "walther nernst"], ["walther nernst", "occupation", "chemist"]], [["max von laue", "worked at", "university of berlin"], ["university of berlin", ... | [
1,
1,
1,
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1,
0,
1
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"{\n \"explanation\": \"Both triples involve real, identifiable historical figures. Max von Laue (1879‑1960) and Otto Hahn (1879‑1968) were contemporaries, making the 'contemporary with' relation accurate. Otto Hahn was a renowned German chemist, so the 'occupation' relation to 'chemist' is correct. No fabricated ... | [
[
1,
1
],
[
1,
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1
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[
1,
1,
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],
[
1,
1,
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[
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[
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1
],
[
1,
1,
1
],
[
1,
1
],
[
1,
0,
1
],
[
1,
1,
1
]
] | [
[
4,
2
],
[
4,
4,
1
],
[
1,
1,
1
],
[
5,
3,
1
],
[
3,
5,
3,
1
],
[
5,
3,
1
],
[
3,
3,
1
],
[
2,
1
],
[
5,
1,
1
],
[
1,
1,
1
]
] | [
4,
4,
1,
3,
3,
3,
3,
2,
1,
1
] | [
"[\n {\n \"explanation\": \"Class A (subjects that are \\\"contemporary with\\\" Otto Hahn) includes every person who lived at the same time as the German chemist (1879‑1968) and is recorded in the KG as a contemporary. The KG typically records dozens of such links for a well‑known scientist, so an estimate of ... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 2.9 | 10 |
[
"Q2085",
"P161",
"Q164328"
] | [
"Q2085",
"P161",
"Q174263"
] | [
"Q174263",
"P19",
"Q268873"
] | [
"Twin Peaks",
"cast member",
"David Koechner"
] | [
"Twin Peaks",
"cast member",
"Rodney Rowland"
] | [
"Rodney Rowland",
"place of birth",
"Newport Beach"
] | Q2085__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | David Koechner | Newport Beach | place of birth | 2 | Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, ta... | [
"```json\n{\n \"1\": [\n [\"David Koechner\", \"appeared in\", \"Anchorman\"],\n [\"Anchorman\", \"featured actor\", \"Aaron Eckhart\"],\n [\"Aaron Eckhart\", \"born in\", \"Newport Beach\"]\n ],\n \"2\": [\n [\"David Koechner\", \"cast member of\", \"Saturday Night Live\"],\n [\"Saturday Night Li... | [
"Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relations... | [
{
"completion_tokens": 2948,
"prompt_tokens": 894,
"total_tokens": 3842
}
] | [
"```json\n{\n \"1\": [\n [\"David Koechner\", \"appeared in\", \"Anchorman\"],\n [\"Anchorman\", \"featured actor\", \"Aaron Eckhart\"],\n [\"Aaron Eckhart\", \"born in\", \"Newport Beach\"]\n ],\n \"2\": [\n [\"David Koechner\", \"cast member of\", \"Saturday Night Live\"],\n [\"Saturday Night Li... | [
[
"Twin Peaks",
"cast member",
"David Koechner"
],
[
"Twin Peaks",
"cast member",
"Rodney Rowland"
],
[
"Rodney Rowland",
"place of birth",
"Newport Beach"
]
] | [[[["david koechner", "appeared in", "anchorman"], ["anchorman", "featured actor", "aaron eckhart"], ["aaron eckhart", "born in", "newport beach"]], [["david koechner", "cast member of", "saturday night live"], ["saturday night live", "network", "nbc"], ["nbc", "employed", "aaron eckhart"], ["aaron eckhart", "born in",... | [
null
] | null | [[["david koechner", "appeared in", "anchorman"], ["anchorman", "featured actor", "aaron eckhart"], ["aaron eckhart", "born in", "newport beach"]], [["david koechner", "cast member of", "saturday night live"], ["saturday night live", "network", "nbc"], ["nbc", "employed", "aaron eckhart"], ["aaron eckhart", "born in", ... | [
0,
0,
0,
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] | [
"{\n \"explanation\": \"The first triple is correct: David Koechner is a real actor and he did appear in the film \\\"Anchorman: The Legend of Ron Burgundy\\\" as Champ Kind, so the entities exist and the relationship is valid. The second triple is false: while \\\"Anchorman\\\" is a real film and Aaron Eckhart is... | [
[
1,
0,
0
],
[
0,
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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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[
... | [
[
4,
4,
1
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[
3,
2,
1,
3
],
[
3,
2,
2,
2
],
[
4,
4,
4,
4
],
[
4,
4,
1
],
[
2,
4,
2,
4,
3
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[
3,
3,
4
],
[
4,
1,
1,
3
],
[
3,
3,
1,
2
],
[
... | [
4,
1,
2,
4,
4,
2,
3,
1,
1,
1
] | [
"[\n {\n \"explanation\": \"Class A (subjects that appeared in \\\"Anchorman\\\"): the film’s cast and cameo list includes roughly 30 credited actors plus a handful of uncredited cameo appearances, giving an estimate of about 40 distinct individuals. Class B (objects that David Koechner appeared in): his filmog... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.9 | 10 |
[
"Q18037479",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2548",
"Q22809711"
] | [
"CD2AP",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"strand orientation",
"reverse strand"
] | Q11081__P2293 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substa(...TRUNCATED) | CD2AP | reverse strand | strand orientation | 3 | "Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a(...TRUNCATED) | ["```json\n{\n \"1\": [\n [\"CD2AP\", \"encoded by\", \"CD2AP gene\"],\n [\"CD2AP gene\", \"s(...TRUNCATED) | ["Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and (...TRUNCATED) | [
{
"completion_tokens": 3204,
"prompt_tokens": 889,
"total_tokens": 4093
}
] | ["```json\n{\n \"1\": [\n [\"CD2AP\", \"encoded by\", \"CD2AP gene\"],\n [\"CD2AP gene\", \"s(...TRUNCATED) | [["CD2AP","genetic association","Alzheimer's disease"],["ATXN7L1","genetic association","Alzheimer's(...TRUNCATED) | "[[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"strand orientation\", \"reverse (...TRUNCATED) | [
null
] | null | "[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"strand orientation\", \"reverse s(...TRUNCATED) | [
1,
0,
1,
1,
1,
1,
0,
0,
1,
0
] | ["{\n \"explanation\": \"The first triple links the protein CD2AP (written in lowercase as cd2ap) t(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,0.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[0.0,1.0,0.0],[1.0,(...TRUNCATED) | [
[
5,
1
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[
3,
5,
1
],
[
1,
1,
1
],
[
4,
4,
1
],
[
4,
5,
1
],
[
2,
2,
1
],
[
4,
4,
1
],
[
4,
3,
4,
1
],
[
2,
3,
5,
4,
1
],
[
4,
4,
4,
1
]
] | [
5,
3,
1,
4,
4,
2,
4,
3,
2,
4
] | ["[\n {\n \"explanation\": \"Class A (subject‑variation): all entities that are encoded by the(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.3 | 10 |
[
"Q283572",
"P463",
"Q254138"
] | [
"Q316136",
"P463",
"Q254138"
] | [
"Q316136",
"P19",
"Q39709"
] | [
"Kun Nong",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"place of birth",
"Des Moines"
] | Q254138__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | What are different ways of connecting Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | 4 | "Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTa(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n (\"Kun Nong\", \"collaborated with\", \"James Chen\"),\n (\"James (...TRUNCATED) | ["Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nT(...TRUNCATED) | [
{
"completion_tokens": 2494,
"prompt_tokens": 891,
"total_tokens": 3385
}
] | ["<answer>\n{\n \"1\": [\n (\"Kun Nong\", \"collaborated with\", \"James Chen\"),\n (\"James (...TRUNCATED) | [["Kun Nong","member of","Slipknot"],["Chris Fehn","member of","Slipknot"],["Chris Fehn","place of b(...TRUNCATED) | "[[[[\"kun nong\", \"collaborated with\", \"james chen\"], [\"james chen\", \"founded\", \"midwest t(...TRUNCATED) | [
null
] | null | "[[[\"kun nong\", \"collaborated with\", \"james chen\"], [\"james chen\", \"founded\", \"midwest te(...TRUNCATED) | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple links the legendary Chinese figure Kun Nong with a modern(...TRUNCATED) | [[0.0,0.0,0.0,1.0],[0.0,0.0,0.0,0.0,0.0],[0.0,0.0,1.0,1.0],[0.0,0.0,0.0,1.0,0.0],[0.0,1.0,1.0,1.0],[(...TRUNCATED) | [[4,5,3,1],[5,4,5,5,2],[4,4,5,1],[4,4,5,5,1],[1,3,5,1],[5,5,3,1],[4,2,1,1],[4,4,5,3],[4,3,1],[5,3,4,(...TRUNCATED) | [
3,
4,
4,
4,
1,
3,
1,
4,
3,
3
] | ["[\n {\n \"explanation\": \"Class A (subjects that collaborated with James Chen): James Chen is(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 4.1 | 10 |
[
"Q423327",
"P2175",
"Q12199"
] | [
"Q422654",
"P2175",
"Q12199"
] | [
"Q422654",
"P769",
"Q898407"
] | [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"significant drug interaction",
"venlafaxine"
] | Q12199__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance (...TRUNCATED) | enfuvirtide | venlafaxine | significant drug interaction | 5 | "Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a sub(...TRUNCATED) | ["```json\n{\n \"1\": [\n [\"enfuvirtide\", \"approved by\", \"U.S. Food and Drug Administration(...TRUNCATED) | ["Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a su(...TRUNCATED) | [
{
"completion_tokens": 3660,
"prompt_tokens": 902,
"total_tokens": 4562
}
] | ["```json\n{\n \"1\": [\n [\"enfuvirtide\", \"approved by\", \"U.S. Food and Drug Administration(...TRUNCATED) | [["enfuvirtide","medical condition treated","HIV/AIDS"],["saquinavir","medical condition treated","H(...TRUNCATED) | "[[[[\"enfuvirtide\", \"approved by\", \"u.s. food and drug administration\"], [\"u.s. food and drug(...TRUNCATED) | [
null
] | null | "[[[\"enfuvirtide\", \"approved by\", \"u.s. food and drug administration\"], [\"u.s. food and drug (...TRUNCATED) | [
1,
1,
0,
0,
0,
0,
1,
1,
1,
0
] | ["{\n \"explanation\": \"All three triples involve real entities and plausible relationships. Enfuv(...TRUNCATED) | [[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,0.0,1.0],[0.0,0.0,1.0],[0.0,1.0,0.0],[1.0,0.0,1.0],[1.0,1.0,1.0],[(...TRUNCATED) | [
[
1,
1,
3
],
[
4,
3,
4
],
[
4,
4,
4
],
[
4,
4,
3
],
[
1,
2,
3
],
[
5,
3,
3
],
[
4,
4,
3
],
[
4,
4,
4
],
[
3,
1,
3
],
[
3,
1,
4
]
] | [
1,
3,
4,
4,
1,
3,
4,
4,
1,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that are approved by the U.S. Food and Drug Admin(...TRUNCATED) | [
1,
1,
1,
1,
1,
0,
0,
1,
0,
1
] | ["","","","","","there is no continuity for the pair (1, 2)","there is no continuity for the pair (1(...TRUNCATED) | 3 | 10 |
[
"Q77462",
"P463",
"Q32645"
] | [
"Q95556",
"P463",
"Q32645"
] | [
"Q95556",
"P451",
"Q551050"
] | [
"Bela B",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"unmarried partner",
"Anja Caspary"
] | Q32645__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Bela B, the German musician, and someone who is the unmarried(...TRUNCATED) | Bela B | Anja Caspary | unmarried partner | 6 | "Query: What are different ways of connecting Bela B, the German musician, and someone who is the un(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n (\"Bela B\", \"member of\", \"Die Ärzte\"),\n (\"Die Ärzte\", \"(...TRUNCATED) | ["Query: What are different ways of connecting Bela B, the German musician, and someone who is the u(...TRUNCATED) | [
{
"completion_tokens": 2566,
"prompt_tokens": 901,
"total_tokens": 3467
}
] | ["<answer>\n{\n \"1\": [\n (\"Bela B\", \"member of\", \"Die Ärzte\"),\n (\"Die Ärzte\", \"(...TRUNCATED) | [["Bela B","member of","Die Ärzte"],["Hagen Liebing","member of","Die Ärzte"],["Hagen Liebing","un(...TRUNCATED) | "[[[[\"bela b\", \"member of\", \"die \\u00e4rzte\"], [\"die \\u00e4rzte\", \"performed with\", \"ha(...TRUNCATED) | [
null
] | null | "[[[\"bela b\", \"member of\", \"die \\u00e4rzte\"], [\"die \\u00e4rzte\", \"performed with\", \"hag(...TRUNCATED) | [
0,
0,
0,
0,
0,
0,
0,
0,
1,
0
] | ["{\n \"explanation\": \"The first triple is correct: Bela B (real name Dirk Felsenheimer) is a wel(...TRUNCATED) | [[1.0,1.0,0.0],[1.0,1.0,0.0],[1.0,1.0,0.0],[1.0,1.0,0.0],[1.0,1.0,0.0],[0.0,0.0],[1.0,1.0,0.0],[0.0,(...TRUNCATED) | [
[
5,
4,
5
],
[
3,
4,
5
],
[
1,
1,
5
],
[
1,
1,
5
],
[
1,
1,
5
],
[
1,
5
],
[
2,
2,
5
],
[
1,
1,
5
],
[
3,
3,
5
],
[
2,
1,
5
]
] | [
4,
3,
1,
1,
1,
1,
2,
1,
3,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that are members of Die Ärzte) includes the band(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 2.9 | 10 |
[
"Q651253",
"P40",
"Q1268"
] | [
"Q9356382",
"P40",
"Q1268"
] | [
"Q9356382",
"P22",
"Q11716498"
] | [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"father",
"Jakub Krzyżanowski"
] | Q1268__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyż(...TRUNCATED) | Nicolas Chopin | Jakub Krzyżanowski | father | 7 | "Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub(...TRUNCATED) | ["<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"son\", \"Frédéric Chopin\"],\n [\"Frédé(...TRUNCATED) | ["Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jaku(...TRUNCATED) | [
{
"completion_tokens": 2291,
"prompt_tokens": 898,
"total_tokens": 3189
}
] | ["<answer>\n{\n \"1\": [\n [\"Nicolas Chopin\", \"son\", \"Frédéric Chopin\"],\n [\"Frédé(...TRUNCATED) | [["Nicolas Chopin","child","Frédéric Chopin"],["Tekla Justyna Chopin","child","Frédéric Chopin"](...TRUNCATED) | "[[[[\"nicolas chopin\", \"son\", \"fr\\u00e9d\\u00e9ric chopin\"], [\"fr\\u00e9d\\u00e9ric chopin\"(...TRUNCATED) | [
null
] | null | "[[[\"nicolas chopin\", \"son\", \"fr\\u00e9d\\u00e9ric chopin\"], [\"fr\\u00e9d\\u00e9ric chopin\",(...TRUNCATED) | [
0,
0,
0,
0,
0,
1,
0,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple misstates the parent‑child relationship: Nicolas Chopin(...TRUNCATED) | [[0.0,1.0,0.0],[0.0,1.0,1.0],[0.0,1.0,0.0],[1.0,1.0,0.0],[0.0,0.0,0.0],[1.0,1.0,1.0],[0.0,0.0,0.0],[(...TRUNCATED) | [
[
5,
4,
4
],
[
3,
4,
5
],
[
4,
4,
1
],
[
5,
4,
4
],
[
1,
5,
1
],
[
3,
2,
5
],
[
4,
4,
1
],
[
4,
4,
5
],
[
1,
3,
2
],
[
4,
4,
2
]
] | [
4,
3,
4,
4,
1,
2,
4,
4,
1,
4
] | ["[\n {\n \"explanation\": \"Class A (subjects that are a son of Frédéric Chopin): historicall(...TRUNCATED) | [
1,
1,
1,
0,
1,
1,
0,
1,
0,
1
] | ["","","","there is no continuity for the pair (1, 2)","","","there is no continuity for the pair (1(...TRUNCATED) | 3 | 10 |
[
"Q23505",
"P40",
"Q207"
] | [
"Q190628",
"P40",
"Q207"
] | [
"Q190628",
"P39",
"Q7166256"
] | [
"George H. W. Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"position held",
"First Lady of the United States"
] | Q207__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting George H. W. Bush, the 41st President of the United States, a(...TRUNCATED) | George H. W. Bush | First Lady of the United States | position held | 8 | "Query: What are different ways of connecting George H. W. Bush, the 41st President of the United St(...TRUNCATED) | ["```json\n{\n \"1\": [\n [\"George H. W. Bush\", \"spouse\", \"Barbara Pierce Bush\"],\n [\"(...TRUNCATED) | ["Query: What are different ways of connecting George H. W. Bush, the 41st President of the United S(...TRUNCATED) | [
{
"completion_tokens": 6606,
"prompt_tokens": 909,
"total_tokens": 7515
}
] | ["```json\n{\n \"1\": [\n [\"George H. W. Bush\", \"spouse\", \"Barbara Pierce Bush\"],\n [\"(...TRUNCATED) | [["George H. W. Bush","child","George W. Bush"],["Barbara Bush","child","George W. Bush"],["Barbara (...TRUNCATED) | "[[[[\"george h. w. bush\", \"spouse\", \"barbara pierce bush\"], [\"barbara pierce bush\", \"positi(...TRUNCATED) | [
null
] | null | "[[[\"george h. w. bush\", \"spouse\", \"barbara pierce bush\"], [\"barbara pierce bush\", \"positio(...TRUNCATED) | [
1,
0,
1,
1,
0,
1,
0,
1,
1,
1
] | ["{\n \"explanation\": \"Both triples involve real, well‑known individuals and accurate relations(...TRUNCATED) | [[1.0,1.0],[0.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[0.0,0.0,1.0,1.0],[1.0,1.0,1.0],[0.0,1.0,1.0,1.(...TRUNCATED) | [
[
5,
4
],
[
5,
5,
4
],
[
5,
5,
4
],
[
5,
5,
4
],
[
1,
2,
5,
4
],
[
5,
5,
4
],
[
5,
3,
5,
4
],
[
2,
5,
4
],
[
4,
4,
5,
4
],
[
3,
5,
4
]
] | [
5,
5,
5,
5,
1,
5,
3,
2,
4,
3
] | ["[\n {\n \"explanation\": \"Class A (subject‑variation) asks how many different people could (...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.2 | 10 |
[
"Q18037778",
"P2293",
"Q131755"
] | [
"Q18046338",
"P2293",
"Q131755"
] | [
"Q18046338",
"P5572",
"Q64386"
] | [
"INTS7",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"expressed in",
"gallbladder"
] | Q131755__P2293 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting INTS7, a protein involved in various cellular processes, and (...TRUNCATED) | INTS7 | gallbladder | expressed in | 9 | "Query: What are different ways of connecting INTS7, a protein involved in various cellular processe(...TRUNCATED) | ["```json\n{\n \"1\": [\n [\"INTS7\", \"component of\", \"Integrator complex\"],\n [\"Integra(...TRUNCATED) | ["Query: What are different ways of connecting INTS7, a protein involved in various cellular process(...TRUNCATED) | [
{
"completion_tokens": 7113,
"prompt_tokens": 898,
"total_tokens": 8011
}
] | ["```json\n{\n \"1\": [\n [\"INTS7\", \"component of\", \"Integrator complex\"],\n [\"Integra(...TRUNCATED) | [["INTS7","genetic association","bipolar disorder"],["MCTP1","genetic association","bipolar disorder(...TRUNCATED) | "[[[[\"ints7\", \"component of\", \"integrator complex\"], [\"integrator complex\", \"regulates\", \(...TRUNCATED) | [
null
] | null | "[[[\"ints7\", \"component of\", \"integrator complex\"], [\"integrator complex\", \"regulates\", \"(...TRUNCATED) | [
0,
0,
1,
0,
0,
0,
1,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple links INTS7, a known subunit of the Integrator complex, t(...TRUNCATED) | [[1.0,0.0,1.0],[1.0,1.0,0.0],[1.0,1.0,1.0],[1.0,1.0,0.0,0.0],[1.0,1.0,1.0,0.0],[0.0,1.0,0.0,1.0],[1.(...TRUNCATED) | [
[
4,
4,
2
],
[
4,
4,
3
],
[
4,
4,
2
],
[
3,
4,
3,
2
],
[
3,
1,
1,
3
],
[
4,
4,
2,
2
],
[
2,
2,
3
],
[
4,
4,
4,
3
],
[
3,
3,
3,
2
],
[
4,
4,
... | [
4,
4,
4,
3,
1,
2,
2,
4,
3,
2
] | ["[\n {\n \"explanation\": \"Class A (subjects that are components of the integrator complex): t(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.6 | 10 |
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