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 16 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.31k | query stringlengths 100 165 | entity_a stringlengths 5 22 | entity_b stringlengths 4 32 | rel_b stringlengths 5 28 | prompt stringlengths 3.56k 3.66k | index int64 760 779 | raw_responses stringlengths 1.06k 5.65k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q204751",
"P463",
"Q10708"
] | [
"Q2322228",
"P463",
"Q10708"
] | [
"Q2322228",
"P136",
"Q3071"
] | [
"Anthony Kiedis",
"member of",
"Red Hot Chili Peppers"
] | [
"D.H. Peligro",
"member of",
"Red Hot Chili Peppers"
] | [
"D.H. Peligro",
"genre",
"punk rock"
] | Q10708__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 Anthony Kiedis, the lead singer of the Red Hot Chili Peppers, and someone who is associated with the punk rock genre? | Anthony Kiedis | punk rock | genre | Query: What are different ways of connecting Anthony Kiedis, the lead singer of the Red Hot Chili Peppers, and someone who is associated with the punk rock 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, relat... | 760 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Anthony Kiedis\", \"bandmate of\", \"Flea (musician)\"],\n [\"Flea (musician)\", \"member of\", \"Fear (band)\"],\n [\"Fear (band)\", \"genre\", \"punk rock\"]\n ],\n \"2\": [\n [\"Anthony Kiedis\", \"dated\", \"Nina Hagen\"],\n [\"Nina Hagen\", \"genre\... |
[
"Q104822312",
"P162",
"Q80821545"
] | [
"Q104822312",
"P162",
"Q169963"
] | [
"Q169963",
"P19",
"Q2345424"
] | [
"Operation Fortune: Ruse de guerre",
"producer",
"Steven Chasman"
] | [
"Operation Fortune: Ruse de guerre",
"producer",
"Jason Statham"
] | [
"Jason Statham",
"place of birth",
"Shirebrook"
] | Q104822312__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 Steven Chasman, a film producer, and someone who was born in Shirebrook? | Steven Chasman | Shirebrook | place of birth | Query: What are different ways of connecting Steven Chasman, a film producer, and someone who was born in Shirebrook?
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... | 761 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Steven Chasman\", \"produced\", \"The Transporter\"],\n [\"The Transporter\", \"cast member\", \"Jason Statham\"],\n [\"Jason Statham\", \"place of birth\", \"Shirebrook\"]\n ],\n \"2\": [\n [\"Steven Chasman\", \"produced\", \"Crank (film)\"],\n [\"Cran... |
[
"Q1275",
"P39",
"Q81066"
] | [
"Q1260",
"P39",
"Q81066"
] | [
"Q1260",
"P166",
"Q154554"
] | [
"Gladwyn Jebb",
"position held",
"United Nations Secretary-General"
] | [
"Kurt Waldheim",
"position held",
"United Nations Secretary-General"
] | [
"Kurt Waldheim",
"award received",
"Iron Cross"
] | Q81066__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 Gladwyn Jebb, a notable British diplomat, and someone who received the Iron Cross? | Gladwyn Jebb | Iron Cross | award received | Query: What are different ways of connecting Gladwyn Jebb, a notable British diplomat, and someone who received the Iron Cross?
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... | 762 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Gladwyn Jebb\",\n \"employer\",\n \"United Nations\"\n ],\n [\n \"United Nations\",\n \"employer\",\n \"Kurt Waldheim\"\n ],\n [\n \"Kurt Waldheim\",\n \"award received\",\n \"Iron Cross\"\n ]\n ],\n \"2\... |
[
"Q171381",
"P54",
"Q171337"
] | [
"Q172843",
"P54",
"Q171337"
] | [
"Q172843",
"P1532",
"Q16"
] | [
"Keke Rosberg",
"member of sports team",
"Williams Racing"
] | [
"Jacques Villeneuve",
"member of sports team",
"Williams Racing"
] | [
"Jacques Villeneuve",
"country for sport",
"Canada"
] | Q171337__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 Keke Rosberg, the Finnish racing driver, and someone who represents a country known for its strong presence in motorsport? | Keke Rosberg | Canada | country for sport | Query: What are different ways of connecting Keke Rosberg, the Finnish racing driver, and someone who represents a country known for its strong presence in motorsport?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | 763 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Keke Rosberg\", \"competed against\", \"Gilles Villeneuve\"],\n [\"Gilles Villeneuve\", \"country for sport\", \"Canada\"]\n ],\n \"2\": [\n [\"Keke Rosberg\", \"drove for\", \"Williams Racing\"],\n [\"Williams Racing\", \"employed\", \"Jacques Vil... |
[
"Q18037904",
"P2293",
"Q131755"
] | [
"Q18028260",
"P2293",
"Q131755"
] | [
"Q18028260",
"P5572",
"Q28656743"
] | [
"AUTS2",
"genetic association",
"bipolar disorder"
] | [
"KIF5B",
"genetic association",
"bipolar disorder"
] | [
"KIF5B",
"expressed in",
"lower lobe of lung"
] | Q131755__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 AUTS2, a gene associated with autism, and a substance that is expressed in the lower lobe of the lung? | AUTS2 | lower lobe of lung | expressed in | Query: What are different ways of connecting AUTS2, a gene associated with autism, and a substance that is expressed in the lower lobe of the lung?
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) ... | 764 | {"final_response": "<answer>\n{\n \"1\": [\n [\"AUTS2\", \"interacts with\", \"PCGF5\"],\n [\"PCGF5\", \"expressed in\", \"lower lobe of lung\"]\n ],\n \"2\": [\n [\"AUTS2\", \"interacts with\", \"EP300\"],\n [\"EP300\", \"expressed in\", \"lower lobe of lung\"]\n ],\n \"3\": [\n [\"AUTS2\", \"inter... |
[
"Q49355",
"P166",
"Q17144"
] | [
"Q157268",
"P166",
"Q17144"
] | [
"Q157268",
"P185",
"Q102512798"
] | [
"James Bryant Conant",
"award received",
"Presidential Medal of Freedom"
] | [
"Robert Solow",
"award received",
"Presidential Medal of Freedom"
] | [
"Robert Solow",
"doctoral student",
"Fredrick Hendrick Huizinga"
] | 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 James Bryant Conant, an influential American chemist and educator, and someone who has been a doctoral student of Robert Solow? | James Bryant Conant | Fredrick Hendrick Huizinga | doctoral student | Query: What are different ways of connecting James Bryant Conant, an influential American chemist and educator, and someone who has been a doctoral student of Robert Solow?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (h... | 765 | {"final_response": "<answer>\n{\n \"1\": [\n [\"James Bryant Conant\", \"president of\", \"Harvard University\"],\n [\"Robert Solow\", \"educated at\", \"Harvard University\"],\n [\"Robert Solow\", \"doctoral student\", \"Fredrick Hendrick Huizinga\"]\n ],\n \"2\": [\n [\"James Bryant Conant\", \"preside... |
[
"Q62894",
"P166",
"Q185667"
] | [
"Q92618",
"P166",
"Q185667"
] | [
"Q92618",
"P101",
"Q333"
] | [
"Charles Bachman",
"award received",
"Turing Award"
] | [
"Peter Naur",
"award received",
"Turing Award"
] | [
"Peter Naur",
"field of work",
"astronomy"
] | Q185667__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 Charles Bachman, a notable computer scientist, and someone who has made significant contributions in the field of astronomy? | Charles Bachman | astronomy | field of work | Query: What are different ways of connecting Charles Bachman, a notable computer scientist, and someone who has made significant contributions in the field of astronomy?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head... | 766 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Charles Bachman\", \"employer\", \"General Electric\"],\n [\"General Electric\", \"employer of\", \"Ralph Alpher\"],\n [\"Ralph Alpher\", \"field of work\", \"astronomy\"]\n ],\n \"2\": [\n [\"Charles Bachman\", \"educated at\", \"University of Pennsylvania... |
[
"Q101244968",
"P57",
"Q3187708"
] | [
"Q101244968",
"P57",
"Q3295491"
] | [
"Q3295491",
"P27",
"Q142"
] | [
"The Mansion of Madness",
"director",
"Juan López Moctezuma"
] | [
"The Mansion of Madness",
"director",
"Martin LaSalle"
] | [
"Martin LaSalle",
"country of citizenship",
"France"
] | Q101244968__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 Mansion of Madness and someone who is a citizen of France? | The Mansion of Madness | France | country of citizenship | Query: What are different ways of connecting The Mansion of Madness and someone who is a citizen of France?
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 begins w... | 767 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"The Mansion of Madness\",\n \"cast member\",\n \"Martin LaSalle\"\n ],\n [\n \"Martin LaSalle\",\n \"country of citizenship\",\n \"France\"\n ]\n ],\n \"2\": [\n [\n \"The Mansion of Madness\",\n \"cast member\"... |
[
"Q27081513",
"P2175",
"Q12078"
] | [
"Q424972",
"P2175",
"Q12078"
] | [
"Q424972",
"P769",
"Q45050"
] | [
"larotrectinib",
"medical condition treated",
"cancer"
] | [
"prednisone",
"medical condition treated",
"cancer"
] | [
"prednisone",
"significant drug interaction",
"tenoxicam"
] | Q12078__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 larotrectinib, a medication used in cancer treatment, and a substance that has a significant drug interaction with tenoxicam? | larotrectinib | tenoxicam | significant drug interaction | Query: What are different ways of connecting larotrectinib, a medication used in cancer treatment, and a substance that has a significant drug interaction with tenoxicam?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea... | 768 | {"final_response": "<answer>\n{\n \"1\": [\n [\"larotrectinib\", \"interacts with\", \"fluconazole\"],\n [\"fluconazole\", \"significant drug interaction\", \"tenoxicam\"]\n ],\n \"2\": [\n [\"larotrectinib\", \"interacts with\", \"dexamethasone\"],\n [\"dexamethasone\", \"significant drug interaction\",... |
[
"Q36170137",
"P40",
"Q1500"
] | [
"Q12971771",
"P40",
"Q1500"
] | [
"Q12971771",
"P19",
"Q1287698"
] | [
"Francisco Mercado",
"child",
"José Rizal"
] | [
"Teodora Alonso",
"child",
"José Rizal"
] | [
"Teodora Alonso",
"place of birth",
"Tondo"
] | Q1500__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 Francisco Mercado, a notable figure, and someone who was born in Tondo? | Francisco Mercado | Tondo | place of birth | Query: What are different ways of connecting Francisco Mercado, a notable figure, and someone who was born in Tondo?
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... | 769 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Francisco Mercado\", \"child\", \"Jose Rizal\"],\n [\"Jose Rizal\", \"founder of\", \"La Liga Filipina\"],\n [\"Andres Bonifacio\", \"member of\", \"La Liga Filipina\"],\n [\"Andres Bonifacio\", \"place of birth\", \"Tondo\"]\n ],\n \"2\": [\n [\"Francis... |
[
"Q1851284",
"P463",
"Q27593"
] | [
"Q44653",
"P463",
"Q27593"
] | [
"Q44653",
"P6275",
"Q4823444"
] | [
"Russell Coleman",
"member of",
"AC/DC"
] | [
"Malcolm Young",
"member of",
"AC/DC"
] | [
"Malcolm Young",
"copyright representative",
"APRA"
] | Q27593__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 Russell Coleman and someone who is represented by APRA for copyright matters? | Russell Coleman | APRA | copyright representative | Query: What are different ways of connecting Russell Coleman and someone who is represented by APRA for copyright matters?
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 chai... | 770 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Russell Coleman\", \"member of\", \"AC/DC\"],\n [\"Angus Young\", \"founder of\", \"AC/DC\"],\n [\"Angus Young\", \"copyright representative\", \"APRA\"]\n ],\n \"2\": [\n [\"Russell Coleman\", \"member of\", \"AC/DC\"],\n [\"Malcolm Young\", \"founder o... |
[
"Q189267",
"P161",
"Q922264"
] | [
"Q189267",
"P161",
"Q231128"
] | [
"Q231128",
"P106",
"Q49757"
] | [
"Two and a Half Men",
"cast member",
"Eric Allan Kramer"
] | [
"Two and a Half Men",
"cast member",
"Amber Tamblyn"
] | [
"Amber Tamblyn",
"occupation",
"poet"
] | Q189267__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 Eric Allan Kramer, the actor, and someone who is known for their work as a poet? | Eric Allan Kramer | poet | occupation | Query: What are different ways of connecting Eric Allan Kramer, the actor, and someone who is known for their work as a poet?
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 c... | 771 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Eric Allan Kramer\",\n \"cast member\",\n \"True Romance\"\n ],\n [\n \"True Romance\",\n \"cast member\",\n \"Brad Pitt\"\n ],\n [\n \"Brad Pitt\",\n \"cast member\",\n \"12 Years a Slave\"\n ],\n [\n ... |
[
"Q8009181",
"P166",
"Q17144"
] | [
"Q43179",
"P166",
"Q17144"
] | [
"Q43179",
"P463",
"Q7747439"
] | [
"William Foege",
"award received",
"Presidential Medal of Freedom"
] | [
"Ellen Johnson Sirleaf",
"award received",
"Presidential Medal of Freedom"
] | [
"Ellen Johnson Sirleaf",
"member of",
"The Links"
] | 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 William Foege, a prominent figure in public health, and someone who is a member of The Links organization? | William Foege | The Links | member of | Query: What are different ways of connecting William Foege, a prominent figure in public health, and someone who is a member of The Links organization?
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... | 772 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"William Foege\",\n \"received\",\n \"Presidential Medal of Freedom\"\n ],\n [\n \"Presidential Medal of Freedom\",\n \"awarded to\",\n \"Marian Wright Edelman\"\n ],\n [\n \"Marian Wright Edelman\",\n \"member of\... |
[
"Q18045297",
"P2293",
"Q11081"
] | [
"Q18039883",
"P2293",
"Q11081"
] | [
"Q18039883",
"P5572",
"Q2741512"
] | [
"EXOC4",
"genetic association",
"Alzheimer's disease"
] | [
"CDON",
"genetic association",
"Alzheimer's disease"
] | [
"CDON",
"expressed in",
"synovial joint"
] | 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 EXOC4, a gene, and a substance that is expressed in the synovial joint? | EXOC4 | synovial joint | expressed in | Query: What are different ways of connecting EXOC4, a gene, and a substance that is expressed in the synovial joint?
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... | 773 | {"final_response": "<answer>\n{\n \"1\": [\n [\"EXOC4\", \"interacts with\", \"CTNNB1\"],\n [\"CTNNB1\", \"regulates\", \"SOX9\"],\n [\"SOX9\", \"upregulates\", \"COL2A1\"],\n [\"COL2A1\", \"expressed in\", \"synovial joint\"]\n ],\n \"2\": [\n [\"EXOC4\", \"interacts with\", \"RAB8A\"],\n [\"RAB8A... |
[
"Q310839",
"P39",
"Q11699"
] | [
"Q298985",
"P39",
"Q11699"
] | [
"Q298985",
"P3716",
"Q10076267"
] | [
"Adlai Stevenson I",
"position held",
"Vice President of the United States"
] | [
"William R. King",
"position held",
"Vice President of the United States"
] | [
"William R. King",
"social classification",
"slave owner"
] | Q11699__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 Adlai Stevenson I, an American politician, and someone who is classified as a slave owner? | Adlai Stevenson I | slave owner | social classification | Query: What are different ways of connecting Adlai Stevenson I, an American politician, and someone who is classified as a slave owner?
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 co... | 774 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Adlai Stevenson I\",\n \"member of\",\n \"Democratic Party\"\n ],\n [\n \"Democratic Party\",\n \"founded by\",\n \"Andrew Jackson\"\n ],\n [\n \"Andrew Jackson\",\n \"social classification\",\n \"slave owner\... |
[
"Q27287122",
"P2175",
"Q40878"
] | [
"Q104334",
"P2175",
"Q40878"
] | [
"Q104334",
"P4149",
"Q409202"
] | [
"lidamidine",
"medical condition treated",
"diarrhea"
] | [
"carbonic acid",
"medical condition treated",
"diarrhea"
] | [
"carbonic acid",
"conjugate base",
"bicarbonate ion"
] | Q40878__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 lidamidine, a chemical compound, and a substance that has bicarbonate ion as its conjugate base? | lidamidine | bicarbonate ion | conjugate base | Query: What are different ways of connecting lidamidine, a chemical compound, and a substance that has bicarbonate ion as its conjugate base?
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) formin... | 775 | {"final_response": "<answer>\n{\n \"1\": [\n [\"lidamidine\", \"contains element\", \"carbon\"],\n [\"carbon\", \"is element in\", \"carbonic acid\"],\n [\"carbonic acid\", \"conjugate base\", \"bicarbonate ion\"]\n ],\n \"2\": [\n [\"lidamidine\", \"contains element\", \"oxygen\"],\n [\"oxygen\", \"i... |
[
"Q75946069",
"P40",
"Q1275"
] | [
"Q21556684",
"P40",
"Q1275"
] | [
"Q21556684",
"P106",
"Q189290"
] | [
"Rose Chichester",
"child",
"Gladwyn Jebb"
] | [
"Sydney Jebb",
"child",
"Gladwyn Jebb"
] | [
"Sydney Jebb",
"occupation",
"military officer"
] | Q1275__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 Rose Chichester, a notable figure, and someone who has served as a military officer? | Rose Chichester | military officer | occupation | Query: What are different ways of connecting Rose Chichester, a notable figure, and someone who has served as a military officer?
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 continuo... | 776 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Rose Chichester\",\n \"member of family\",\n \"Chichester family\"\n ],\n [\n \"Arthur Chichester, 1st Baron Chichester\",\n \"member of family\",\n \"Chichester family\"\n ],\n [\n \"Arthur Chichester, 1st Baron Chich... |
[
"Q27278051",
"P2175",
"Q41112"
] | [
"Q201872",
"P2175",
"Q41112"
] | [
"Q201872",
"P2868",
"Q3271533"
] | [
"transclopenthixol",
"medical condition treated",
"schizophrenia"
] | [
"olanzapine",
"medical condition treated",
"schizophrenia"
] | [
"olanzapine",
"subject has role",
"dopamine antagonist"
] | 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 transclopenthixol, a chemical compound, and a substance that acts as a dopamine antagonist in a particular role? | transclopenthixol | dopamine antagonist | subject has role | Query: What are different ways of connecting transclopenthixol, a chemical compound, and a substance that acts as a dopamine antagonist in a particular role?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh... | 777 | {"final_response": "<answer>\n{\n \"1\": [\n [\"transclopenthixol\", \"stereoisomer of\", \"zuclopenthixol\"],\n [\"zuclopenthixol\", \"subject has role\", \"dopamine antagonist\"]\n ],\n \"2\": [\n [\"transclopenthixol\", \"isomer of\", \"clopenthixol\"],\n [\"clopenthixol\", \"subject has role\", \"dop... |
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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:
760 - End Index:
780
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s760__e780__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("s760_e780_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 10:57:10 using the inference pipeline with the above configuration.
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