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 10 15 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.31k | query stringlengths 106 177 | entity_a stringlengths 6 23 | entity_b stringlengths 7 50 | rel_b stringlengths 5 25 | prompt stringlengths 3.57k 3.67k | index int64 100 119 | raw_responses stringlengths 92 5.41k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q2590199",
"P54",
"Q204862"
] | [
"Q47379760",
"P54",
"Q204862"
] | [
"Q47379760",
"P69",
"Q4914201"
] | [
"Kevin Ogletree",
"member of sports team",
"Dallas Cowboys"
] | [
"Dalton Schultz",
"member of sports team",
"Dallas Cowboys"
] | [
"Dalton Schultz",
"educated at",
"Bingham High School"
] | Q204862__P54 | 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 Kevin Ogletree, the professional football player, and someone who was educated at Bingham High School? | Kevin Ogletree | Bingham High School | educated at | Query: What are different ways of connecting Kevin Ogletree, the professional football player, and someone who was educated at Bingham High School?
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) ... | 100 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Kevin Ogletree\",\n \"played for\",\n \"Dallas Cowboys\"\n ],\n [\n \"Dalton Schultz\",\n \"played for\",\n \"Dallas Cowboys\"\n ],\n [\n \"Dalton Schultz\",\n \"educated at\",\n \"Bingham High School\"\n ]... |
[
"Q104891260",
"P57",
"Q18018415"
] | [
"Q104891260",
"P57",
"Q20675767"
] | [
"Q20675767",
"P69",
"Q4887340"
] | [
"The Gray Man",
"director",
"Anthony Russo"
] | [
"The Gray Man",
"director",
"Joe Russo"
] | [
"Joe Russo",
"educated at",
"Benedictine High School"
] | Q104891260__P57 | 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 The Gray Man, a popular action film, and someone who was educated at Benedictine High School? | The Gray Man | Benedictine High School | educated at | Query: What are different ways of connecting The Gray Man, a popular action film, and someone who was educated at Benedictine High School?
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... | 101 | {"final_response": "<answer>\n{\n \"1\": [\n [\"The Gray Man\", \"directed by\", \"Anthony Russo\"],\n [\"Anthony Russo\", \"educated at\", \"Benedictine High School\"]\n ],\n \"2\": [\n [\"The Gray Man\", \"directed by\", \"Joe Russo\"],\n [\"Joe Russo\", \"educated at\", \"Benedictine High School\"]\n ... |
[
"Q219861",
"P39",
"Q4166474"
] | [
"Q365890",
"P39",
"Q4166474"
] | [
"Q365890",
"P19",
"Q544705"
] | [
"Paul Wolfowitz",
"position held",
"President of the World Bank Group"
] | [
"Alden W. Clausen",
"position held",
"President of the World Bank Group"
] | [
"Alden W. Clausen",
"place of birth",
"Hamilton"
] | Q4166474__P39 | 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 Paul Wolfowitz, a prominent political figure, and someone who was born in Hamilton? | Paul Wolfowitz | Hamilton | place of birth | Query: What are different ways of connecting Paul Wolfowitz, a prominent political figure, and someone who was born in Hamilton?
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 continuou... | 102 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Paul Wolfowitz\",\n \"worked for\",\n \"George W. Bush\"\n ],\n [\n \"George W. Bush\",\n \"succeeded by\",\n \"Barack Obama\"\n ],\n [\n \"Barack Obama\",\n \"met with\",\n \"Jacinda Ardern\"\n ],\n [\n... |
[
"Q10397511",
"P58",
"Q12022908"
] | [
"Q10397511",
"P58",
"Q3018560"
] | [
"Q3018560",
"P451",
"Q6774435"
] | [
"Whisper",
"screenwriter",
"Jan Novák"
] | [
"Whisper",
"screenwriter",
"David Ondříček"
] | [
"David Ondříček",
"unmarried partner",
"Martha Issová"
] | Q10397511__P58 | 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 Jan Novák and someone who is the unmarried partner of Martha Issová? | Jan Novák | Martha Issová | unmarried partner | Query: What are different ways of connecting Jan Novák and someone who is the unmarried partner of Martha Issová?
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 continuous chain that be... | 103 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Jan Nov\u00e1k (writer)\",\n \"screenwriter of\",\n \"Z\u00e1topek (film)\"\n ],\n [\n \"Z\u00e1topek (film)\",\n \"directed by\",\n \"David Ond\u0159\u00ed\u010dek\"\n ],\n [\n \"David Ond\u0159\u00ed\u010dek\",\n ... |
[
"Q27149809",
"P2175",
"Q8285"
] | [
"Q410546",
"P2175",
"Q8285"
] | [
"Q410546",
"P129",
"Q22676679"
] | [
"distigmine",
"medical condition treated",
"myasthenia gravis"
] | [
"neostigmine",
"medical condition treated",
"myasthenia gravis"
] | [
"neostigmine",
"physically interacts with",
"Acetylcholinesterase"
] | Q8285__P2175 | 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 distigmine, a chemical compound, and a substance that physically interacts with Acetylcholinesterase? | distigmine | Acetylcholinesterase | physically interacts with | Query: What are different ways of connecting distigmine, a chemical compound, and a substance that physically interacts with Acetylcholinesterase?
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) f... | 104 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"distigmine\",\n \"physically interacts with\",\n \"Acetylcholinesterase\"\n ]\n ],\n \"2\": [\n [\n \"distigmine\",\n \"increases levels of\",\n \"Acetylcholine\"\n ],\n [\n \"Acetylcholine\",\n \"physically int... |
[
"Q952724",
"P463",
"Q14528"
] | [
"Q15493738",
"P463",
"Q14528"
] | [
"Q15493738",
"P136",
"Q187760"
] | [
"Roland Gift",
"member of",
"Fine Young Cannibals"
] | [
"David Steele",
"member of",
"Fine Young Cannibals"
] | [
"David Steele",
"genre",
"new wave"
] | Q14528__P463 | 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 Roland Gift, the lead singer of Fine Young Cannibals, and someone who is associated with the new wave genre? | Roland Gift | new wave | genre | Query: What are different ways of connecting Roland Gift, the lead singer of Fine Young Cannibals, and someone who is associated with the new wave genre?
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, ... | 105 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Roland Gift\", \"member of\", \"Fine Young Cannibals\"],\n [\"Fine Young Cannibals\", \"founded by\", \"Andy Cox\"],\n [\"Andy Cox\", \"member of\", \"The Beat\"],\n [\"The Beat\", \"genre\", \"new wave\"]\n ],\n \"2\": [\n [\"Roland Gift\", \"member of\... |
[
"Q153723",
"P161",
"Q191132"
] | [
"Q153723",
"P161",
"Q86336"
] | [
"Q86336",
"P27",
"Q183"
] | [
"Inglourious Basterds",
"cast member",
"Harvey Keitel"
] | [
"Inglourious Basterds",
"cast member",
"Richard Sammel"
] | [
"Richard Sammel",
"country of citizenship",
"Germany"
] | Q153723__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 Harvey Keitel, the American actor, and someone who is a citizen of Germany? | Harvey Keitel | Germany | country of citizenship | Query: What are different ways of connecting Harvey Keitel, the American actor, and someone who is a citizen of Germany?
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 continuous chain ... | 106 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Harvey Keitel\", \"acted in\", \"National Treasure\"],\n [\"National Treasure\", \"cast member\", \"Diane Kruger\"],\n [\"Diane Kruger\", \"country of citizenship\", \"Germany\"]\n ],\n \"2\": [\n [\"Harvey Keitel\", \"acted in\", \"U-571\"],\n [\"U-571\... |
[
"Q1029606",
"P162",
"Q4954374"
] | [
"Q1029606",
"P162",
"Q6530642"
] | [
"Q6530642",
"P106",
"Q578109"
] | [
"Susan's Plan",
"producer",
"Brad Wyman"
] | [
"Susan's Plan",
"producer",
"Leslie Belzberg"
] | [
"Leslie Belzberg",
"occupation",
"television producer"
] | Q1029606__P162 | 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 Brad Wyman, a film producer, and someone who works as a television producer? | Brad Wyman | television producer | occupation | Query: What are different ways of connecting Brad Wyman, a film producer, and someone who works as a television producer?
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 continuous chain... | 107 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Brad Wyman\", \"produced\", \"Monster (2003 film)\"],\n [\"Charlize Theron\", \"produced\", \"Monster (2003 film)\"],\n [\"Charlize Theron\", \"occupation\", \"television producer\"]\n ],\n \"2\": [\n [\"Brad Wyman\", \"produced\", \"Freeway (1996 film)\"],... |
[
"Q98699958",
"P40",
"Q2172"
] | [
"Q98699980",
"P40",
"Q2172"
] | [
"Q98699980",
"P22",
"Q98699984"
] | [
"Eddie Charles Gunderson",
"child",
"Lance Armstrong"
] | [
"Linda Gayle Mooneyham",
"child",
"Lance Armstrong"
] | [
"Linda Gayle Mooneyham",
"father",
"Paul Mooneyham"
] | Q2172__P40 | 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 Eddie Charles Gunderson and someone who is the father of Paul Mooneyham? | Eddie Charles Gunderson | Paul Mooneyham | father | Query: What are different ways of connecting Eddie Charles Gunderson and someone who is the father of Paul Mooneyham?
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 continuous chain tha... | 108 | {"final_response": "<answer>\n{}\n</answer>", "response_tokens": 9, "reasoning_tokens": 446} |
[
"Q272201",
"P39",
"Q14211"
] | [
"Q312567",
"P39",
"Q14211"
] | [
"Q312567",
"P241",
"Q2609672"
] | [
"Liz Truss",
"position held",
"Prime Minister of the United Kingdom"
] | [
"William Lamb, 2nd Viscount Melbourne",
"position held",
"Prime Minister of the United Kingdom"
] | [
"William Lamb, 2nd Viscount Melbourne",
"military branch",
"Army Reserve"
] | Q14211__P39 | 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 Liz Truss, the former Prime Minister of the UK, and someone who has served in the Army Reserve? | Liz Truss | Army Reserve | military branch | Query: What are different ways of connecting Liz Truss, the former Prime Minister of the UK, and someone who has served in the Army Reserve?
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... | 109 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Liz Truss\", \"appointed\", \"James Cleverly\"],\n [\"James Cleverly\", \"military branch\", \"Army Reserve\"]\n ],\n \"2\": [\n [\"Liz Truss\", \"defeated\", \"Tom Tugendhat\"],\n [\"Tom Tugendhat\", \"military branch\", \"Army Reserve\"]\n ],\n \"3\": [... |
[
"Q14881725",
"P2293",
"Q128581"
] | [
"Q14911585",
"P2293",
"Q128581"
] | [
"Q14911585",
"P1057",
"Q668633"
] | [
"COL1A1",
"genetic association",
"breast cancer"
] | [
"TGFBR2",
"genetic association",
"breast cancer"
] | [
"TGFBR2",
"chromosome",
"human chromosome 3"
] | Q128581__P2293 | 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 COL1A1, a gene associated with collagen production, and a substance that is located on human chromosome 3? | COL1A1 | human chromosome 3 | chromosome | Query: What are different ways of connecting COL1A1, a gene associated with collagen production, and a substance that is located on human chromosome 3?
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, ta... | 110 | {"final_response": "<answer>\n{\n \"1\": [\n [\"COL1A1\", \"associated disease\", \"Osteogenesis imperfecta\"],\n [\"Osteogenesis imperfecta\", \"associated gene\", \"CRTAP\"],\n [\"CRTAP\", \"chromosome\", \"human chromosome 3\"]\n ],\n \"2\": [\n [\"COL1A1\", \"gene family\", \"Collagen\"],\n [\"Col... |
[
"Q419987",
"P2175",
"Q41861"
] | [
"Q410074",
"P2175",
"Q41861"
] | [
"Q410074",
"P129",
"Q2819188"
] | [
"hydralazine",
"medical condition treated",
"arterial hypertension"
] | [
"losartan",
"medical condition treated",
"arterial hypertension"
] | [
"losartan",
"physically interacts with",
"Angiotensin II receptor type 1"
] | Q41861__P2175 | 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 hydralazine, a medication used to treat high blood pressure, and a substance that physically interacts with Angiotensin II receptor type 1? | hydralazine | Angiotensin II receptor type 1 | physically interacts with | Query: What are different ways of connecting hydralazine, a medication used to treat high blood pressure, and a substance that physically interacts with Angiotensin II receptor type 1?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factua... | 111 | {"final_response": "<answer>\n{\n \"1\": [\n [\"hydralazine\", \"treats\", \"hypertension\"],\n [\"hypertension\", \"treated by\", \"Losartan\"],\n [\"Losartan\", \"physically interacts with\", \"Angiotensin II receptor type 1\"]\n ],\n \"2\": [\n [\"hydralazine\", \"treats\", \"heart failure\"],\n [\... |
[
"Q353774",
"P166",
"Q17144"
] | [
"Q153579",
"P166",
"Q17144"
] | [
"Q153579",
"P101",
"Q37073"
] | [
"Adela Rogers St. Johns",
"award received",
"Presidential Medal of Freedom"
] | [
"Stephen Sondheim",
"award received",
"Presidential Medal of Freedom"
] | [
"Stephen Sondheim",
"field of work",
"pop music"
] | Q17144__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 Adela Rogers St. Johns, an American journalist and author, and someone who is known for their contributions to the field of pop music? | Adela Rogers St. Johns | pop music | field of work | Query: What are different ways of connecting Adela Rogers St. Johns, an American journalist and author, and someone who is known for their contributions to the field of pop music?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tri... | 112 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Adela Rogers St. Johns\", \"appeared in\", \"Reds\"],\n [\"Reds\", \"directed by\", \"Warren Beatty\"],\n [\"Warren Beatty\", \"dated\", \"Madonna\"],\n [\"Madonna\", \"field of work\", \"pop music\"]\n ],\n \"2\": [\n [\"Adela Rogers St. Johns\... |
[
"Q10307713",
"P58",
"Q784009"
] | [
"Q10307713",
"P58",
"Q7173432"
] | [
"Q7173432",
"P1411",
"Q107258"
] | [
"The Hunger Games: Mockingjay – Part 2",
"screenwriter",
"Danny Strong"
] | [
"The Hunger Games: Mockingjay – Part 2",
"screenwriter",
"Peter Craig"
] | [
"Peter Craig",
"nominated for",
"Academy Award for Best Writing, Adapted Screenplay"
] | Q10307713__P58 | 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 Danny Strong, the writer and producer, and someone who was nominated for the Academy Award for Best Writing, Adapted Screenplay? | Danny Strong | Academy Award for Best Writing, Adapted Screenplay | nominated for | Query: What are different ways of connecting Danny Strong, the writer and producer, and someone who was nominated for the Academy Award for Best Writing, Adapted Screenplay?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (... | 113 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Danny Strong\",\n \"acted in\",\n \"Seabiscuit\"\n ],\n [\n \"Seabiscuit\",\n \"directed by\",\n \"Gary Ross\"\n ],\n [\n \"Gary Ross\",\n \"nominated for\",\n \"Academy Award for Best Writing, Adapted Screen... |
[
"Q18034330",
"P2293",
"Q11081"
] | [
"Q18035998",
"P2293",
"Q11081"
] | [
"Q18035998",
"P2548",
"Q22809711"
] | [
"SLC4A8",
"genetic association",
"Alzheimer's disease"
] | [
"FERMT2",
"genetic association",
"Alzheimer's disease"
] | [
"FERMT2",
"strand orientation",
"reverse strand"
] | Q11081__P2293 | 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 SLC4A8, a gene, and a substance that has a reverse strand orientation? | SLC4A8 | reverse strand | strand orientation | Query: What are different ways of connecting SLC4A8, a gene, and a substance that has a reverse strand orientation?
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 continuous chain that ... | 114 | {"final_response": "```json\n{\n \"1\": [\n [\n \"SLC4A8\",\n \"interacts with\",\n \"CA2\"\n ],\n [\n \"CA2\",\n \"strand orientation\",\n \"reverse strand\"\n ]\n ],\n \"2\": [\n [\n \"SLC4A8\",\n \"found in taxon\",\n \"Homo sapiens\"\n ],\n [\n ... |
[
"Q929340",
"P463",
"Q15920"
] | [
"Q188973",
"P463",
"Q15920"
] | [
"Q188973",
"P19",
"Q1020700"
] | [
"John Marshall",
"member of",
"Metallica"
] | [
"Cliff Burton",
"member of",
"Metallica"
] | [
"Cliff Burton",
"place of birth",
"Castro Valley"
] | Q15920__P463 | 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 John Marshall, a prominent figure in American history, and someone who was born in Castro Valley? | John Marshall | Castro Valley | place of birth | Query: What are different ways of connecting John Marshall, a prominent figure in American history, and someone who was born in Castro Valley?
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) formi... | 115 | {"final_response": "<answer>\n{\n \"1\": [\n [\"John Marshall\", \"position held\", \"United States Secretary of State\"],\n [\"Hillary Clinton\", \"position held\", \"United States Secretary of State\"],\n [\"Hillary Clinton\", \"interviewed by\", \"Rachel Maddow\"],\n [\"Rachel Maddow\", \"place of birth... |
[
"Q412323",
"P2175",
"Q28814"
] | [
"Q11426176",
"P2175",
"Q28814"
] | [
"Q11426176",
"P2868",
"Q422549"
] | [
"rituximab",
"medical condition treated",
"autoimmune hemolytic anemia"
] | [
"prednisolone",
"medical condition treated",
"autoimmune hemolytic anemia"
] | [
"prednisolone",
"subject has role",
"glucocorticoid"
] | Q28814__P2175 | 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 rituximab, a medication used in cancer treatment, and a substance that has a role as a glucocorticoid? | rituximab | glucocorticoid | subject has role | Query: What are different ways of connecting rituximab, a medication used in cancer treatment, and a substance that has a role as a glucocorticoid?
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) ... | 116 | {"final_response": "<answer>\n{\n \"1\": [\n [\"rituximab\", \"treats\", \"non-Hodgkin lymphoma\"],\n [\"non-Hodgkin lymphoma\", \"treated with\", \"dexamethasone\"],\n [\"dexamethasone\", \"subject has role\", \"glucocorticoid\"]\n ],\n \"2\": [\n [\"rituximab\", \"treats\", \"rheumatoid arthritis\"],\n... |
[
"Q4492673",
"P2175",
"Q41112"
] | [
"Q50824517",
"P2175",
"Q41112"
] | [
"Q50824517",
"P3364",
"Q27074536"
] | [
"metofenazate",
"medical condition treated",
"schizophrenia"
] | [
"(R,R)-asenapine",
"medical condition treated",
"schizophrenia"
] | [
"(R,R)-asenapine",
"stereoisomer of",
"(S,S)-asenapine"
] | Q41112__P2175 | 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 metofenazate, a chemical compound, and a substance that is a stereoisomer of (S,S)-asenapine? | metofenazate | (S,S)-asenapine | stereoisomer of | Query: What are different ways of connecting metofenazate, a chemical compound, and a substance that is a stereoisomer of (S,S)-asenapine?
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... | 117 | {"final_response": "<answer>\n{\n \"1\": [\n [\"metofenazate\", \"treats\", \"schizophrenia\"],\n [\"schizophrenia\", \"treated by\", \"asenapine\"],\n [\"asenapine\", \"stereoisomer of\", \"(S,S)-asenapine\"]\n ],\n \"2\": [\n [\"metofenazate\", \"has role\", \"antipsychotic\"],\n [\"antipsychotic\",... |
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Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
100 - End Index:
120
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s100__e120__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s100_e120_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 13:15:34 using the inference pipeline with the above configuration.
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