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 3.53k 3.75k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | all_response_tokens listlengths 1 1 | all_reasoning_tokens listlengths 1 1 | raw_path_prediction listlengths 1 1 | source_path listlengths 3 3 | parsed_paths stringlengths 4 5.53k | reasoning_paths listlengths 1 1 | paths_0 stringlengths 2 5.53k | reasoning_0 stringlengths 4 4.18k | relation_recall_scores_set_0 float64 0 0 | num_paths_where_source_relations_found_0 float64 0 0 | path_recall_scores_set_0 float64 0 0 | num_paths_where_source_triple_found_0 float64 0 0 | relation_lexical_uniqueness_0 int64 0 54 | entity_lexical_uniqueness_0 int64 0 57 | num_triples_0 int64 0 64 | uniqueness_scores_0 listlengths 1 25 | unique_raw_response_0 listlengths 1 25 | max_uniqueness_score_0 listlengths 1 25 | factuality_scores_0 listlengths 1 25 | raw_responses_factuality_0 listlengths 1 25 | parsed_scores_factuality_0 listlengths 1 25 | raw_salience_scores_0 listlengths 1 25 | min_salience_scores_0 listlengths 1 25 | salience_raw_responses_0 listlengths 1 25 | validity_per_path_0 listlengths 1 25 | validity_reasons_0 listlengths 1 25 | avg_path_length_0 float64 0 5.83 | num_paths_0 float64 0 25 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | [
"<think>\n**Evaluating collaborative paths**\n\nI’m considering a few paths related to the user’s query. First, I think about a safe route through New York City. Then there’s the Carnegie Hall option, which feels a bit risky. I’m questioning if Morton Gould worked with Benny Goodman or arranged for him, and I'm a b... | [
"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 MANY connection paths. A connection path is a sequence of factual triples (head, ... | [
1837
] | [
1664
] | [
"<think>\n**Evaluating collaborative paths**\n\nI’m considering a few paths related to the user’s query. First, I think about a safe route through New York City. Then there’s the Carnegie Hall option, which feels a bit risky. I’m questioning if Morton Gould worked with Benny Goodman or arranged for him, and I'm a b... | [
[
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"discography",
"Benny Carter discography"
]
] | [[[["morton gould", "born in", "new york city"], ["new york city", "birthplace of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "performed at", "carnegie hall"], ["carnegie hall", "hosted", "benny carter"], ["benny carter", "discography", "benny carter discography"]]... | [
"<think>\n**Evaluating collaborative paths**\n\nI’m considering a few paths related to the user’s query. First, I think about a safe route through New York City. Then there’s the Carnegie Hall option, which feels a bit risky. I’m questioning if Morton Gould worked with Benny Goodman or arranged for him, and I'm a b... | [[["morton gould", "born in", "new york city"], ["new york city", "birthplace of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "performed at", "carnegie hall"], ["carnegie hall", "hosted", "benny carter"], ["benny carter", "discography", "benny carter discography"]],... | "<think>\n**Evaluating collaborative paths**\n\nI\u2019m considering a few paths related to the user\u2019s query. First, I think about a safe route through New York City. Then there\u2019s the Carnegie Hall option, which feels a bit risky. I\u2019m questioning if Morton Gould worked with Benny Goodman or arranged for ... | 0 | 0 | 0 | 0 | 6 | 4 | 6 | [
[
2,
2,
1
],
[
1,
1,
1
],
[
1,
1,
1
]
] | [
"{\n \"explanation\": \"Morton Gould is best known as a composer and conductor, so his birthplace is a secondary biographical detail, making the first triple adjacent (T2). New York City is primarily known as a major metropolis and cultural/financial hub; noting that it is the birthplace of a notable musician is a... | [
2,
1,
1
] | [
1,
1,
1
] | [
"{\n \"explanation\": \"All three triples involve real, identifiable entities and accurate relationships. Morton Gould was indeed born in New York City, making the first triple correct. New York City is the birthplace of the jazz musician Benny Carter, so the second triple is also accurate. Benny Carter has a docu... | [
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
]
] | [
[
1,
1,
5
],
[
1,
1,
5
],
[
1,
1,
5
]
] | [
1,
1,
1
] | [
"[\n {\n \"explanation\": \"Class A (subject‑variation) asks for all subjects that could be \\\"born in\\\" New York City. Millions of people have been born in NYC over its history; a rough estimate is about 10 million individuals. Class B (object‑variation) asks for all places that could be the birthplace of M... | [
1,
1,
1
] | [
"",
"",
""
] | 3 | 3 |
[
"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 MANY connection paths. A connection path is a sequence of factual t... | [
"<think>\n\n</think>\n\n<answer>{\n1: [\n [\"Max von Laue\", \"professor at\", \"University of Berlin\"],\n [\"University of Berlin\", \"professor at\", \"Emil Fischer\"],\n [\"Emil Fischer\", \"occupation\", \"chemist\"]\n],\n2: [\n [\"Max von Laue\", \"member of\", \"Kaiser Wilhelm Society\"],\n [\"Kaiser Wi... | [
"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 MANY connection paths. A connection path is a sequence of fa... | [
1767
] | [
1216
] | [
"<think>\n\n</think>\n\n<answer>{\n1: [\n [\"Max von Laue\", \"professor at\", \"University of Berlin\"],\n [\"University of Berlin\", \"professor at\", \"Emil Fischer\"],\n [\"Emil Fischer\", \"occupation\", \"chemist\"]\n],\n2: [\n [\"Max von Laue\", \"member of\", \"Kaiser Wilhelm Society\"],\n [\"Kaiser Wi... | [
[
"Max von Laue",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"occupation",
"chemist"
]
] | [[]] | [
"<think>\n\n"
] | [] | "<think>\n\n" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
[]
] | [
"Hello! How can I assist you today?"
] | [
1
] | [
1
] | [
"Hello! How can I help you today?"
] | [
[]
] | [
[]
] | [
0
] | [
"Hello! How can I assist you today?"
] | [
0
] | [
""
] | 0 | 0 |
[
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | [
"<answer>{\n1: [\n [\"David Koechner\", \"co-starred in\", \"Anchorman: The Legend of Ron Burgundy\"],\n [\"Anchorman: The Legend of Ron Burgundy\", \"features actor\", \"Will Ferrell\"],\n [\"Will Ferrell\", \"place of birth\", \"Newport Beach\"]\n],\n2: [\n [\"David Koechner\", \"appeared in\", \"The Office (... | [
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | [
1586
] | [
0
] | [
"<answer>{\n1: [\n [\"David Koechner\", \"co-starred in\", \"Anchorman: The Legend of Ron Burgundy\"],\n [\"Anchorman: The Legend of Ron Burgundy\", \"features actor\", \"Will Ferrell\"],\n [\"Will Ferrell\", \"place of birth\", \"Newport Beach\"]\n],\n2: [\n [\"David Koechner\", \"appeared in\", \"The Office (... | [
[
"Twin Peaks",
"cast member",
"David Koechner"
],
[
"Twin Peaks",
"cast member",
"Rodney Rowland"
],
[
"Rodney Rowland",
"place of birth",
"Newport Beach"
]
] | [[[["david koechner", "co-starred in", "anchorman: the legend of ron burgundy"], ["anchorman: the legend of ron burgundy", "features actor", "will ferrell"], ["will ferrell", "place of birth", "newport beach"]], [["david koechner", "appeared in", "the office (u.s.)"], ["the office (u.s.)", "guest starred", "rainn wilso... | [
null
] | [[["david koechner", "co-starred in", "anchorman: the legend of ron burgundy"], ["anchorman: the legend of ron burgundy", "features actor", "will ferrell"], ["will ferrell", "place of birth", "newport beach"]], [["david koechner", "appeared in", "the office (u.s.)"], ["the office (u.s.)", "guest starred", "rainn wilson... | null | 0 | 0 | 0 | 0 | 25 | 29 | 31 | [
[
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
2
],
[
1,
1,
... | [
"{\n \"explanation\": \"The first triple links David Koechner, who is publicly known as an actor and comedian, to the film Anchorman: The Legend of Ron Burgundy via a co‑starring role; this directly concerns his core profession, so it is typical (T1). The second triple describes the movie Anchorman, a well‑known c... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3
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0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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0,
0,
0
] | [
"{\n \"explanation\": \"The first triple links actor David Koechner with the film Anchorman: The Legend of Ron Burgundy. Both the person and the movie are real, and Koechner indeed appears in the film as a co‑star, so the statement is accurate. The second triple states that the film Anchorman: The Legend of Ron Bu... | [
[
1,
1,
0
],
[
1,
0,
0
],
[
1,
1,
0
],
[
1,
1,
0
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[
1,
1,
1,
0
],
[
0,
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0
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[
1,
0,
0
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[
1,
1,
0
],
[
1,
1,
0
],
[
1,
1,
0
],
[
1,
1,
... | [
[
4,
4,
3
],
[
3,
3,
3
],
[
2,
3,
3
],
[
2,
2,
1
],
[
4,
5,
4,
3
],
[
3,
3,
3
],
[
4,
4,
4
],
[
3,
5,
3
],
[
4,
3,
1
],
[
4,
3,
1
],
[
4,
4,
... | [
4,
3,
2,
2,
4,
3,
4,
3,
3,
3,
4,
4,
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3
] | [
"[\n {\n \"explanation\": \"Class A (subjects that co‑starred in the film) includes all actors credited as co‑stars in *Anchorman: The Legend of Ron Burgundy*. The main cast has about 10 well‑known actors and several supporting actors, giving roughly 15‑20 members; I estimate 20. Class B (films that David Koech... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3.066667 | 15 |
[
"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) | ["<think>\n**Connecting CD2AP and cDNA**\n\nI'm looking into the CD2AP gene and its potential link t(...TRUNCATED) | ["Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and (...TRUNCATED) | [
1862
] | [
1088
] | ["<think>\n**Connecting CD2AP and cDNA**\n\nI'm looking into the CD2AP gene and its potential link t(...TRUNCATED) | [["CD2AP","genetic association","Alzheimer's disease"],["ATXN7L1","genetic association","Alzheimer's(...TRUNCATED) | "[[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"transcribed to\", \"cd2ap mrna\"(...TRUNCATED) | ["<think>\n**Connecting CD2AP and cDNA**\n\nI'm looking into the CD2AP gene and its potential link t(...TRUNCATED) | "[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"transcribed to\", \"cd2ap mrna\"](...TRUNCATED) | "\"<think>\\n**Connecting CD2AP and cDNA**\\n\\nI'm looking into the CD2AP gene and its potential li(...TRUNCATED) | 0 | 0 | 0 | 0 | 19 | 30 | 34 | [[1,1,2,3],[1,1,1,2,3],[1,1,1,2,3],[1,1,1,1,2,3],[1,1,1,1,2,3],[1,1,1,1,1,2],[1,1,1,1,1],[1,1,1,1,1](...TRUNCATED) | ["{\n \"explanation\": \"The subject CD2AP is a protein, so its core domain tags are protein/adapto(...TRUNCATED) | [
2,
2,
2,
2,
2,
1,
1,
1
] | [
0,
0,
1,
1,
0,
0,
1,
0
] | ["{\n \"explanation\": \"The first triple links the protein CD2AP to its gene, which is a standard (...TRUNCATED) | [[1.0,1.0,1.0,0.0],[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],[1.0,1.0,1.(...TRUNCATED) | [[5,5,5,1],[4,5,5,1,1],[3,5,5,1,1],[3,3,5,5,1,1],[5,4,5,5,1,1],[3,1,1,1,1,1],[4,5,5,1,1],[1,1,4,1,1](...TRUNCATED) | [
5,
1,
1,
1,
1,
1,
1,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that are encoded by the cd2ap gene) is essentiall(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"the last triple has the same subject and object"
] | 5.25 | 8 |
[
"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>{\n1: [\n [\"Kun Nong\", \"coauthored\", \"Bill Bryson\"],\n [\"Bill Bryson\", \"place o(...TRUNCATED) | ["Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nT(...TRUNCATED) | [
1787
] | [
0
] | ["<answer>{\n1: [\n [\"Kun Nong\", \"coauthored\", \"Bill Bryson\"],\n [\"Bill Bryson\", \"place o(...TRUNCATED) | [["Kun Nong","member of","Slipknot"],["Chris Fehn","member of","Slipknot"],["Chris Fehn","place of b(...TRUNCATED) | "[[[[\"kun nong\", \"coauthored\", \"bill bryson\"], [\"bill bryson\", \"place of birth\", \"des moi(...TRUNCATED) | [
null
] | "[[[\"kun nong\", \"coauthored\", \"bill bryson\"], [\"bill bryson\", \"place of birth\", \"des moin(...TRUNCATED) | null | 0 | 0 | 0 | 0 | 37 | 20 | 38 | [[3,2],[3,2],[3,3,2],[3,1,2],[1,1,2],[2,1,2],[3,1,1,2],[1,1,2],[3,1,2],[1,1,2],[2,1,2],[3,3,2],[3,2](...TRUNCATED) | ["{\n \"explanation\": \"For the first triple, the subject 'kun nong' is not a publicly recognized (...TRUNCATED) | [
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2,
3,
1,
3,
1,
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3,
3,
3,
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4,
4,
3,
2,
5,
1,
4,
3,
4,
3,
3,
4
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] | 2.9 | 20 |
[
"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) | ["<think>\n\n</think>\n\n<answer>{\n1: [\n[\"enfuvirtide\", \"brand name\", \"Fuzeon\"],\n[\"Fuzeon\(...TRUNCATED) | ["Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a su(...TRUNCATED) | [
2315
] | [
1664
] | ["<think>\n\n</think>\n\n<answer>{\n1: [\n[\"enfuvirtide\", \"brand name\", \"Fuzeon\"],\n[\"Fuzeon\(...TRUNCATED) | [["enfuvirtide","medical condition treated","HIV/AIDS"],["saquinavir","medical condition treated","H(...TRUNCATED) | "[[[[\"enfuvirtide\", \"brand name\", \"fuzeon\"], [\"fuzeon\", \"developed by\", \"trimeris\"], [\"(...TRUNCATED) | [
"<think>\n\n"
] | "[[[\"enfuvirtide\", \"brand name\", \"fuzeon\"], [\"fuzeon\", \"developed by\", \"trimeris\"], [\"t(...TRUNCATED) | "<think>\n\n" | 0 | 0 | 0 | 0 | 25 | 18 | 26 | [
[
1,
1,
2,
2,
1,
1
],
[
1,
2,
1,
3
],
[
1,
1,
1,
2,
1,
2
],
[
1,
1,
1
],
[
1,
1,
1,
1
],
[
1,
1,
1,
1
],
[
1,
3,
1,
1
],
[
1,
1,
2
]
] | ["{\n \"explanation\": \"For each triple, I first identified the subject's core public identity and(...TRUNCATED) | [
2,
2,
2,
1,
1,
1,
3,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1
] | ["{\n \"explanation\": \"All six triples involve real, identifiable entities and describe relations(...TRUNCATED) | [[1.0,1.0,1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,1.(...TRUNCATED) | [
[
5,
5,
3,
4,
2,
4
],
[
4,
2,
2,
4
],
[
5,
4,
4,
1,
1,
4
],
[
1,
1,
4
],
[
5,
4,
2,
4
],
[
3,
4,
3,
4
],
[
5,
1,
2,
4
],
[
1,
1,
4
]
] | [
2,
2,
1,
1,
2,
3,
1,
1
] | ["[\n {\n \"explanation\": \"Class A asks for all drugs whose brand name is 'Fuzeon'. Only enfuv(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
""
] | 4.25 | 8 |
[
"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) | ["<think>\n\n</think>\n\n<answer>{\n1: [\n [\"Bela B\", \"bandmate\", \"Hagen Liebing\"],\n [\"Hag(...TRUNCATED) | ["Query: What are different ways of connecting Bela B, the German musician, and someone who is the u(...TRUNCATED) | [
1874
] | [
1600
] | ["<think>\n\n</think>\n\n<answer>{\n1: [\n [\"Bela B\", \"bandmate\", \"Hagen Liebing\"],\n [\"Hag(...TRUNCATED) | [["Bela B","member of","Die Ärzte"],["Hagen Liebing","member of","Die Ärzte"],["Hagen Liebing","un(...TRUNCATED) | "[[[[\"bela b\", \"bandmate\", \"hagen liebing\"], [\"hagen liebing\", \"unmarried partner\", \"anja(...TRUNCATED) | [
"<think>\n\n"
] | "[[[\"bela b\", \"bandmate\", \"hagen liebing\"], [\"hagen liebing\", \"unmarried partner\", \"anja (...TRUNCATED) | "<think>\n\n" | 0 | 0 | 0 | 0 | 6 | 4 | 9 | [
[
1,
3
],
[
1,
1,
3
],
[
1,
1,
3
],
[
2,
3,
3
],
[
1,
1,
3
]
] | ["{\n \"explanation\": \"The first triple links Bela B., known publicly as a musician and drummer f(...TRUNCATED) | [
1,
1,
1,
3,
1
] | [
0,
0,
0,
0,
1
] | ["{\n \"explanation\": \"The first triple claims that \\\"bela b\\\" (the well-known German musicia(...TRUNCATED) | [
[
0,
0
],
[
1,
1,
0
],
[
1,
1,
0
],
[
1,
1,
0
],
[
1,
1,
1
]
] | [
[
5,
5
],
[
5,
5,
5
],
[
5,
5,
5
],
[
1,
1,
5
],
[
5,
5,
5
]
] | [
5,
5,
5,
1,
5
] | ["[\n {\n \"explanation\": \"Class A (subjects that are bandmates of Hagen Liebing): In the band(...TRUNCATED) | [
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
""
] | 2.8 | 5 |
[
"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>{\n1: [\n[\"Nicolas Chopin\", \"father\", \"Frédéric Chopin\"],\n[\"Frédéric Chopin\",(...TRUNCATED) | ["Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jaku(...TRUNCATED) | [
1522
] | [
0
] | ["<answer>{\n1: [\n[\"Nicolas Chopin\", \"father\", \"Frédéric Chopin\"],\n[\"Frédéric Chopin\",(...TRUNCATED) | [["Nicolas Chopin","child","Frédéric Chopin"],["Tekla Justyna Chopin","child","Frédéric Chopin"](...TRUNCATED) | "[[[[\"nicolas chopin\", \"father\", \"fr\\u00e9d\\u00e9ric chopin\"], [\"fr\\u00e9d\\u00e9ric chopi(...TRUNCATED) | [
null
] | "[[[\"nicolas chopin\", \"father\", \"fr\\u00e9d\\u00e9ric chopin\"], [\"fr\\u00e9d\\u00e9ric chopin(...TRUNCATED) | null | 0 | 0 | 0 | 0 | 23 | 24 | 24 | [
[
1,
2,
3
],
[
1,
1,
3
],
[
2,
2,
3
],
[
3,
3,
3
],
[
2,
3,
3
],
[
2,
3,
3
],
[
2,
3,
3
],
[
2,
3,
2
],
[
1,
3,
3
],
[
1,
1,
3
],
[
2,
3,
3
],... | ["{\n \"explanation\": \"The first triple links Nicolas Chopin to his most publicly known role – (...TRUNCATED) | [
2,
1,
2,
3,
3,
3,
3,
3,
3,
1,
3,
3
] | [
0,
1,
1,
0,
0,
0,
1,
0,
1,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple is correct: Nicolas (Mikołaj) Chopin was the father of t(...TRUNCATED) | [[1.0,0.0,0.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,0.0,0.0],[0.0,0.0,0.0],[1.0,0.0,0.0],[1.0,1.0,1.0],[(...TRUNCATED) | [
[
5,
4,
5
],
[
4,
3,
5
],
[
1,
1,
5
],
[
4,
4,
5
],
[
3,
5,
5
],
[
1,
1,
5
],
[
5,
4,
5
],
[
1,
1,
5
],
[
1,
1,
5
],
[
4,
4,
5
],
[
5,
4,
5
],... | [
4,
3,
1,
4,
3,
1,
4,
1,
1,
4,
4,
2
] | ["[\n {\n \"explanation\": \"Class A (all possible fathers of Frédéric Chopin) – a person no(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 3 | 12 |
[
"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) | ["<think>\n\n</think>\n\n<answer>{\n1: [\n [\"George H. W. Bush\", \"spouse\", \"Barbara Bush\"],\n(...TRUNCATED) | ["Query: What are different ways of connecting George H. W. Bush, the 41st President of the United S(...TRUNCATED) | [
2301
] | [
1536
] | ["<think>\n\n</think>\n\n<answer>{\n1: [\n [\"George H. W. Bush\", \"spouse\", \"Barbara 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 bush\"], [\"barbara bush\", \"position held\", \"f(...TRUNCATED) | [
"<think>\n\n"
] | "[[[\"george h. w. bush\", \"spouse\", \"barbara bush\"], [\"barbara bush\", \"position held\", \"fi(...TRUNCATED) | "<think>\n\n" | 0 | 0 | 0 | 0 | 6 | 17 | 33 | [[2,1],[2,2,1],[1,2,1],[1,2,1],[1,1,1,2,1],[1,1,1,1,2,1],[1,1,2,1],[2,2,2,1],[1,1,1,1,1,2,1],[1,1,1,(...TRUNCATED) | ["{\n \"explanation\": \"George H. W. Bush is primarily known as a U.S. President and politician. T(...TRUNCATED) | [
2,
2,
2,
2,
2,
2,
2,
2,
2,
2
] | [
1,
1,
1,
1,
1,
1,
1,
0,
1,
1
] | ["{\n \"explanation\": \"Both triples involve real, well-known individuals and accurate relationshi(...TRUNCATED) | [[1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0],[1.0,1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0,1.0,1.0](...TRUNCATED) | [[5,4],[5,5,4],[5,5,4],[5,5,4],[5,5,5,5,4],[5,5,5,5,5,4],[5,5,5,4],[5,3,5,4],[5,5,5,5,5,5,4],[5,5,5,(...TRUNCATED) | [
5,
5,
5,
5,
5,
5,
5,
3,
5,
5
] | ["[\n {\n \"explanation\": \"Class A (subjects that could be the spouse of Barbara Bush): histor(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 4.3 | 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) | ["<think>\n**Exploring gallbladder expressions**\n\nI’m trying to figure out various pathways from(...TRUNCATED) | ["Query: What are different ways of connecting INTS7, a protein involved in various cellular process(...TRUNCATED) | [
1671
] | [
832
] | ["<think>\n**Exploring gallbladder expressions**\n\nI’m trying to figure out various pathways from(...TRUNCATED) | [["INTS7","genetic association","bipolar disorder"],["MCTP1","genetic association","bipolar disorder(...TRUNCATED) | "[[[[\"ints7\", \"member of\", \"integrator complex\"], [\"integrator complex\", \"associates with\"(...TRUNCATED) | ["<think>\n**Exploring gallbladder expressions**\n\nI’m trying to figure out various pathways from(...TRUNCATED) | "[[[\"ints7\", \"member of\", \"integrator complex\"], [\"integrator complex\", \"associates with\",(...TRUNCATED) | "\"<think>\\n**Exploring gallbladder expressions**\\n\\nI\\u2019m trying to figure out various pathw(...TRUNCATED) | 0 | 0 | 0 | 0 | 21 | 24 | 37 | [[1,1,1,2],[1,1,1,1],[1,1,1,1,1],[1,1,1,2,2],[1,1,1,2],[1,1,1,1,1],[1,1,1,1,2],[1,1,1,1,2],[1,1,1,1,(...TRUNCATED) | ["{\n \"explanation\": \"The protein INT7 is primarily known as a subunit of the Integrator complex(...TRUNCATED) | [
1,
1,
1,
2,
1,
1,
1,
1,
1,
1
] | [
1,
0,
1,
1,
1,
1,
1,
1,
1,
1
] | ["{\n \"explanation\": \"All four triples refer to real, identifiable entities and describe plausib(...TRUNCATED) | [[1.0,1.0,1.0,1.0],[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],[1.0,1.0,1.0,1.0],[(...TRUNCATED) | [[4,3,1,1],[4,3,1,1],[5,4,4,3,2],[4,4,5,4,1],[4,3,1,2],[4,4,2,3,2],[4,4,3,1,1],[4,4,3,4,3],[4,3,4,4,(...TRUNCATED) | [
1,
1,
3,
4,
1,
2,
1,
3,
3,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that are members of the integrator complex) inclu(...TRUNCATED) | [
1,
1,
1,
0,
1,
1,
0,
1,
1,
1
] | ["","","","there is no continuity for the pair (3, 4)","","","there is no continuity for the pair (3(...TRUNCATED) | 4.7 | 10 |
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