Triple

T1610464
Position Surface form Disambiguated ID Type / Status
Subject F# E34603 entity
Predicate influencedBy P9 FINISHED
Object OCaml
OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
 E131758 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: OCaml | Statement: [F#, influencedBy, OCaml]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OCaml
Context triple: [F#, influencedBy, OCaml]
  • A. Saclan
    Saclan is a now-extinct Miwok language once spoken by Indigenous people in what is now central California.
  • B. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • C. Villeurbanne
    Villeurbanne is a major suburban city adjacent to Lyon in eastern France, known for its dense urban character and role as part of the Lyon metropolitan area.
  • D. Decazeville
    Decazeville is a former coal-mining town in southern France known for its industrial heritage and location in the Aveyron department.
  • E. Choulex
    Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OCaml
Triple: [F#, influencedBy, OCaml]
Generated description
OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OCaml
Target entity description: OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
  • A. OCaml chosen
    OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
  • B. Saclan
    Saclan is a now-extinct Miwok language once spoken by Indigenous people in what is now central California.
  • C. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • D. Villeurbanne
    Villeurbanne is a major suburban city adjacent to Lyon in eastern France, known for its dense urban character and role as part of the Lyon metropolitan area.
  • E. Decazeville
    Decazeville is a former coal-mining town in southern France known for its industrial heritage and location in the Aveyron department.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622b9fbc8190bff82acdde10deb6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c4bbfc8190b9d00e1562155a5f completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad526a5e648190b3f40a85c0c06abb completed March 8, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ad52e053f081908af40a7602dab301 completed March 8, 2026, 10:43 a.m.
Created at: March 4, 2026, 7:28 p.m.