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[ "Q4765471", "P2175", "Q12152" ]
[ "Q3790542", "P2175", "Q12152" ]
[ "Q3790542", "P129", "Q21135945" ]
[ "anistreplase", "medical condition treated", "myocardial infarction" ]
[ "sulfinpyrazone", "medical condition treated", "myocardial infarction" ]
[ "sulfinpyrazone", "physically interacts with", "Solute carrier family 22 member 12" ]
Q12152__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 anistreplase, a medication used in the treatment of heart attacks, and a substance that physically interacts with the Solute carrier family 22 member 12?
anistreplase
Solute carrier family 22 member 12
physically interacts with
Query: What are different ways of connecting anistreplase, a medication used in the treatment of heart attacks, and a substance that physically interacts with the Solute carrier family 22 member 12? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequ...
140
{"final_response": "<answer>\n{\n \"1\": [\n [\"anistreplase\", \"treats\", \"myocardial infarction\"],\n [\"myocardial infarction\", \"treated by\", \"losartan\"],\n [\"losartan\", \"physically interacts with\", \"Solute carrier family 22 member 12\"]\n ],\n \"2\": [\n [\"anistreplase\", \"interacts wit...
[ "Q1179813", "P54", "Q1130849" ]
[ "Q704657", "P54", "Q1130849" ]
[ "Q704657", "P6087", "Q1130849" ]
[ "Jack Cox", "member of sports team", "Liverpool F.C." ]
[ "John McKenna", "member of sports team", "Liverpool F.C." ]
[ "John McKenna", "coach of sports team", "Liverpool F.C." ]
Q1130849__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 Jack Cox, and someone who has been a coach for Liverpool F.C.?
Jack Cox
Liverpool F.C.
coach of sports team
Query: What are different ways of connecting Jack Cox, and someone who has been a coach for Liverpool F.C.? 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...
141
{"final_response": "```json\n{\n \"1\": [\n [\"Jack Cox\", \"played for\", \"Liverpool F.C.\"],\n [\"Bob Paisley\", \"played for\", \"Liverpool F.C.\"],\n [\"Bob Paisley\", \"coach of sports team\", \"Liverpool F.C.\"]\n ],\n \"2\": [\n [\"Jack Cox\", \"played for\", \"England national football team\"],\...
[ "Q226905", "P2175", "Q41112" ]
[ "Q2938837", "P2175", "Q41112" ]
[ "Q2938837", "P3493", "Q879952" ]
[ "zotepine", "medical condition treated", "schizophrenia" ]
[ "cariprazine", "medical condition treated", "schizophrenia" ]
[ "cariprazine", "legal status (medicine)", "boxed warning" ]
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 zotepine, a medication, and a substance that has a boxed warning regarding its legal status as a medicine?
zotepine
boxed warning
legal status (medicine)
Query: What are different ways of connecting zotepine, a medication, and a substance that has a boxed warning regarding its legal status as a medicine? 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...
142
{"final_response": "<answer>\n{\n \"1\": [\n [\"zotepine\", \"subclass of\", \"atypical antipsychotic\"],\n [\"atypical antipsychotic\", \"has instance\", \"clozapine\"],\n [\"clozapine\", \"legal status (medicine)\", \"boxed warning\"]\n ],\n \"2\": [\n [\"zotepine\", \"medical condition treated\", \"Sc...
[ "Q104898528", "P58", "Q28976038" ]
[ "Q104898528", "P58", "Q3162772" ]
[ "Q3162772", "P26", "Q100977324" ]
[ "Jak ukrást Dagmaru", "screenwriter", "Miroslav Vaic" ]
[ "Jak ukrást Dagmaru", "screenwriter", "Jaroslav Soukup" ]
[ "Jaroslav Soukup", "spouse", "Petra Martincová" ]
Q104898528__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 Miroslav Vaic and someone who is the spouse of Jaroslav Soukup?
Miroslav Vaic
Petra Martincová
spouse
Query: What are different ways of connecting Miroslav Vaic and someone who is the spouse of Jaroslav Soukup? 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 ...
143
{"final_response": "<answer>\n{\n \"1\": [\n [\"Miroslav Vaic\", \"screenwriter of\", \"Byl jednou jeden polda\"],\n [\"Byl jednou jeden polda\", \"directed by\", \"Jaroslav Soukup\"],\n [\"Jaroslav Soukup\", \"spouse\", \"Petra Martincov\u00e1\"]\n ],\n \"2\": [\n [\"Miroslav Vaic\", \"screenwriter of\"...
[ "Q3177383", "P54", "Q7080909" ]
[ "Q14950074", "P54", "Q7080909" ]
[ "Q14950074", "P69", "Q5763224" ]
[ "Jermale Hines", "member of sports team", "Ohio State Buckeyes football" ]
[ "Mike Furrey", "member of sports team", "Ohio State Buckeyes football" ]
[ "Mike Furrey", "educated at", "Hilliard Davidson High School" ]
Q7080909__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 Jermale Hines and someone who was educated at Hilliard Davidson High School?
Jermale Hines
Hilliard Davidson High School
educated at
Query: What are different ways of connecting Jermale Hines and someone who was educated at Hilliard Davidson 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 continuous chain...
144
{"final_response": "```json\n{\n \"1\": [\n [\n \"Jermale Hines\",\n \"teammate of\",\n \"John Simon (American football)\"\n ],\n [\n \"John Simon (American football)\",\n \"educated at\",\n \"Hilliard Davidson High School\"\n ]\n ],\n \"2\": [\n [\n \"Jermale Hines\...
[ "Q11637", "P166", "Q935843" ]
[ "Q161819", "P166", "Q935843" ]
[ "Q161819", "P412", "Q30903" ]
[ "Judy Garland", "award received", "Grammy Lifetime Achievement Award" ]
[ "Julie Andrews", "award received", "Grammy Lifetime Achievement Award" ]
[ "Julie Andrews", "voice type", "soprano" ]
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 Judy Garland, the iconic actress and singer, and someone who is known for having a soprano voice type?
Judy Garland
soprano
voice type
Query: What are different ways of connecting Judy Garland, the iconic actress and singer, and someone who is known for having a soprano voice type? 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) ...
145
{"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Judy Garland\", \"co-starred in\", \"Every Sunday\"],\n [\"Every Sunday\", \"co-starred\", \"Deanna Durbin\"],\n [\"Deanna Durbin\", \"voice type\", \"soprano\"]\n ],\n \"2\": [\n [\"Judy Garland\", \"played\", \"Dorothy Gale\"],\n [\"Dorothy Ga...
[ "Q2355167", "P54", "Q121783" ]
[ "Q2447626", "P54", "Q121783" ]
[ "Q2447626", "P647", "Q162954" ]
[ "Jamal Sampson", "member of sports team", "Los Angeles Lakers" ]
[ "Tyronn Lue", "member of sports team", "Los Angeles Lakers" ]
[ "Tyronn Lue", "drafted by", "Denver Nuggets" ]
Q121783__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 Jamal Sampson, a professional basketball player, and someone who was drafted by the Denver Nuggets?
Jamal Sampson
Denver Nuggets
drafted by
Query: What are different ways of connecting Jamal Sampson, a professional basketball player, and someone who was drafted by the Denver Nuggets? 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) for...
146
{"final_response": "```json\n{\n \"1\": [\n [\n \"Jamal Sampson\",\n \"drafted in\",\n \"2002 NBA Draft\"\n ],\n [\n \"Nikoloz Tskitishvili\",\n \"drafted in\",\n \"2002 NBA Draft\"\n ],\n [\n \"Nikoloz Tskitishvili\",\n \"drafted by\",\n \"Denver Nuggets\"\n...
[ "Q1018477", "P58", "Q108302" ]
[ "Q1018477", "P58", "Q3838444" ]
[ "Q3838444", "P27", "Q38" ]
[ "Bye bye Berlusconi!", "screenwriter", "Jan Henrik Stahlberg" ]
[ "Bye bye Berlusconi!", "screenwriter", "Lucia Chiarla" ]
[ "Lucia Chiarla", "country of citizenship", "Italy" ]
Q1018477__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 Henrik Stahlberg, the German actor, and someone who holds citizenship in Italy?
Jan Henrik Stahlberg
Italy
country of citizenship
Query: What are different ways of connecting Jan Henrik Stahlberg, the German actor, and someone who holds citizenship in Italy? 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...
147
{"final_response": "<answer>\n{\n \"1\": [\n [\n \"Jan Henrik Stahlberg\",\n \"directed\",\n \"Bye Bye Berlusconi!\"\n ],\n [\n \"Bye Bye Berlusconi!\",\n \"depicts\",\n \"Silvio Berlusconi\"\n ],\n [\n \"Silvio Berlusconi\",\n \"country of citizenship\",\n \...
[ "Q100724914", "P162", "Q7334238" ]
[ "Q100724914", "P162", "Q47495918" ]
[ "Q47495918", "P69", "Q333886" ]
[ "Dual", "producer", "Riley Stearns" ]
[ "Dual", "producer", "Aram Tertzakian" ]
[ "Aram Tertzakian", "educated at", "Georgetown University" ]
Q100724914__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 Riley Stearns, the filmmaker, and someone who was educated at Georgetown University?
Riley Stearns
Georgetown University
educated at
Query: What are different ways of connecting Riley Stearns, the filmmaker, and someone who was educated at Georgetown University? 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...
148
{"final_response": "```json\n{\n \"1\": [\n [\n \"Riley Stearns\",\n \"directed\",\n \"Dual\"\n ],\n [\n \"Dual\",\n \"starred\",\n \"Karen Gillan\"\n ],\n [\n \"Karen Gillan\",\n \"acted in\",\n \"Guardians of the Galaxy\"\n ],\n [\n \"Guardians o...
[ "Q16354867", "P40", "Q157" ]
[ "Q16354870", "P40", "Q157" ]
[ "Q16354870", "P19", "Q285" ]
[ "Nicole Tribert", "child", "François Hollande" ]
[ "Georges Hollande", "child", "François Hollande" ]
[ "Georges Hollande", "place of birth", "Cognac" ]
Q157__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 Nicole Tribert and someone who was born in Cognac?
Nicole Tribert
Cognac
place of birth
Query: What are different ways of connecting Nicole Tribert and someone who was born in Cognac? 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 with one enti...
149
{"final_response": "<answer>\n{}\n</answer>", "response_tokens": 9, "reasoning_tokens": 1103}
[ "Q18045682", "P2293", "Q11081" ]
[ "Q18053449", "P2293", "Q11081" ]
[ "Q18053449", "P688", "Q21134852" ]
[ "CSMD1", "genetic association", "Alzheimer's disease" ]
[ "ZNF438", "genetic association", "Alzheimer's disease" ]
[ "ZNF438", "encodes", "Zinc finger protein 438" ]
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 CSMD1, a gene, and a substance that encodes the Zinc finger protein 438?
CSMD1
Zinc finger protein 438
encodes
Query: What are different ways of connecting CSMD1, a gene, and a substance that encodes the Zinc finger protein 438? 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...
150
{"final_response": "<answer>\n{\n \"1\": [\n [\"CSMD1\", \"found in taxon\", \"Homo sapiens\"],\n [\"Homo sapiens\", \"has gene\", \"ZNF438\"],\n [\"ZNF438\", \"encodes\", \"Zinc finger protein 438\"]\n ],\n \"2\": [\n [\"CSMD1\", \"part of\", \"Human genome\"],\n [\"Human genome\", \"contains gene\",...
[ "Q43921348", "P2293", "Q11088" ]
[ "Q18030926", "P2293", "Q11088" ]
[ "Q18030926", "P1057", "Q780468" ]
[ "PLEK", "genetic association", "coeliac disease" ]
[ "PTPN2", "genetic association", "coeliac disease" ]
[ "PTPN2", "chromosome", "human chromosome 18" ]
Q11088__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 PLEK, a gene involved in various cellular processes, and a substance that is located on human chromosome 18?
PLEK
human chromosome 18
chromosome
Query: What are different ways of connecting PLEK, a gene involved in various cellular processes, and a substance that is located on human chromosome 18? 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, ...
151
{"final_response": "<answer>\n{\n \"1\": [\n [\"PLEK\", \"interacts with\", \"PRKCA\"],\n [\"PRKCA\", \"interacts with\", \"BCL2\"],\n [\"BCL2\", \"chromosome\", \"human chromosome 18\"]\n ],\n \"2\": [\n [\"PLEK\", \"biological process\", \"Apoptosis\"],\n [\"BCL2\", \"biological process\", \"Apoptos...
[ "Q11815", "P39", "Q11696" ]
[ "Q11817", "P39", "Q11696" ]
[ "Q11817", "P3602", "Q534192" ]
[ "James Monroe", "position held", "President of the United States" ]
[ "Andrew Jackson", "position held", "President of the United States" ]
[ "Andrew Jackson", "candidacy in election", "1832 United States presidential election" ]
Q11696__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 James Monroe, the fifth President of the United States, and someone who had a candidacy in the 1832 United States presidential election?
James Monroe
1832 United States presidential election
candidacy in election
Query: What are different ways of connecting James Monroe, the fifth President of the United States, and someone who had a candidacy in the 1832 United States presidential election? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t...
152
{"final_response": "<answer>\n{\n \"1\": [\n [\n \"James Monroe\",\n \"appointed Attorney General\",\n \"William Wirt\"\n ],\n [\n \"William Wirt\",\n \"candidacy in election\",\n \"1832 United States presidential election\"\n ]\n ],\n \"2\": [\n [\n \"James Monroe\"...
[ "Q8539", "P162", "Q7615062" ]
[ "Q8539", "P162", "Q862389" ]
[ "Q862389", "P166", "Q23131583" ]
[ "The Big Bang Theory", "producer", "Steven Molaro" ]
[ "The Big Bang Theory", "producer", "Bill Prady" ]
[ "Bill Prady", "award received", "Exceptional Public Achievement Medal" ]
Q8539__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 Molaro, a television writer and producer, and someone who has received the Exceptional Public Achievement Medal?
Steven Molaro
Exceptional Public Achievement Medal
award received
Query: What are different ways of connecting Steven Molaro, a television writer and producer, and someone who has received the Exceptional Public Achievement Medal? Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rel...
153
{"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Steven Molaro\", \"producer of\", \"The Big Bang Theory\"],\n [\"The Big Bang Theory\", \"features guest star\", \"Neil deGrasse Tyson\"],\n [\"Neil deGrasse Tyson\", \"award received\", \"Exceptional Public Achievement Medal\"]\n ],\n \"2\": [\n [...
[ "Q10357227", "P58", "Q9061186" ]
[ "Q10357227", "P58", "Q16336701" ]
[ "Q16336701", "P106", "Q2526255" ]
[ "Rainha Diaba", "screenwriter", "Plínio Marcos" ]
[ "Rainha Diaba", "screenwriter", "Antonio Carlos da Fontoura" ]
[ "Antonio Carlos da Fontoura", "occupation", "film director" ]
Q10357227__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 Plínio Marcos, a Brazilian playwright, and someone who is a film director?
Plínio Marcos
film director
occupation
Query: What are different ways of connecting Plínio Marcos, a Brazilian playwright, and someone who is a film director? 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 t...
154
{"final_response": "```json\n{\n \"1\": [\n [\n \"Pl\u00ednio Marcos\",\n \"author of\",\n \"Dois Perdidos Numa Noite Suja (1970 film)\"\n ],\n [\n \"Dois Perdidos Numa Noite Suja (1970 film)\",\n \"directed by\",\n \"Braz Chediak\"\n ],\n [\n \"Braz Chediak\",\n ...
[ "Q16354853", "P40", "Q2042" ]
[ "Q3132274", "P40", "Q2042" ]
[ "Q3132274", "P463", "Q2992829" ]
[ "Jeanne Maillot", "child", "Charles de Gaulle" ]
[ "Henri de Gaulle", "child", "Charles de Gaulle" ]
[ "Henri de Gaulle", "member of", "Conférence Olivaint" ]
Q2042__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 Jeanne Maillot and someone who is a member of the Conférence Olivaint?
Jeanne Maillot
Conférence Olivaint
member of
Query: What are different ways of connecting Jeanne Maillot and someone who is a member of the Conférence Olivaint? 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 ...
155
{"final_response": "<answer>\n{\n \"1\": [\n [\"Jeanne Maillot\", \"mother of\", \"Charles de Gaulle\"],\n [\"Charles de Gaulle\", \"appointed\", \"Georges Pompidou\"],\n [\"Georges Pompidou\", \"member of\", \"Conf\u00e9rence Olivaint\"]\n ],\n \"2\": [\n [\"Jeanne Maillot\", \"spouse of\", \"Henri de G...
[ "Q214758", "P166", "Q17144" ]
[ "Q1875906", "P166", "Q17144" ]
[ "Q1875906", "P106", "Q685433" ]
[ "Dean Acheson", "award received", "Presidential Medal of Freedom" ]
[ "Jacob Javits", "award received", "Presidential Medal of Freedom" ]
[ "Jacob Javits", "occupation", "salesperson" ]
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 Dean Acheson, the American statesman, and someone who is known for their work as a salesperson?
Dean Acheson
salesperson
occupation
Query: What are different ways of connecting Dean Acheson, the American statesman, and someone who is known for their work as a salesperson? 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...
156
{"final_response": "<answer>\n{\n \"1\": [\n [\"Dean Acheson\", \"served under\", \"Harry S. Truman\"],\n [\"Harry S. Truman\", \"resided in\", \"White House\"],\n [\"White House\", \"located in\", \"Washington, D.C.\"],\n [\"Washington, D.C.\", \"headquarters of\", \"Discovery Channel\"],\n [\"Discover...
[ "Q1043614", "P57", "Q7288520" ]
[ "Q1043614", "P57", "Q4747497" ]
[ "Q4747497", "P166", "Q37049" ]
[ "Taare Zameen Par", "director", "Ram Madhvani" ]
[ "Taare Zameen Par", "director", "Amole Gupte" ]
[ "Amole Gupte", "award received", "Filmfare Awards" ]
Q1043614__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 "Taare Zameen Par," the acclaimed film, and someone who has received a Filmfare Award?
Taare Zameen Par
Filmfare Awards
award received
Query: What are different ways of connecting "Taare Zameen Par," the acclaimed film, and someone who has received a Filmfare Award? 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 contin...
157
{"final_response": "<answer>\n{\n \"1\": [\n [\"Taare Zameen Par\", \"directed by\", \"Aamir Khan\"],\n [\"Aamir Khan\", \"award received\", \"Filmfare Awards\"]\n ],\n \"2\": [\n [\"Taare Zameen Par\", \"cast member\", \"Darsheel Safary\"],\n [\"Darsheel Safary\", \"award received\", \"Filmfare Awards\"...
End of preview. Expand in Data Studio

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: 140
  • End Index: 160

Data Information

  • Input File: connections-dev/connection_queries_jan12
  • Number of Samples: 20
  • Output Filename: connection_queries_jan12__natural__s140__e160__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl

Dataset Structure

The dataset contains the following key columns:

  • query: The original query
  • entity_a: Starting entity
  • entity_b: Target entity
  • rel_b: Target relationship
  • path_prediction: Generated connection paths
  • prompt_for_path: Prompts used for path generation

Usage

You can load this dataset using:

from datasets import load_dataset

dataset = load_dataset("s140_e160_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")

Generation Details

This dataset was generated on 2026-03-12 02:06:26 using the inference pipeline with the above configuration.

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