Triple

T1160399
Position Surface form Disambiguated ID Type / Status
Subject ReasonML E24477 entity
Predicate hostLanguage P11727 FINISHED
Object OCaml E131758 NE FINISHED

How this triple was built (3 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: [ReasonML, hostLanguage, OCaml]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OCaml
Context triple: [ReasonML, hostLanguage, OCaml]
  • 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. ReasonML
    ReasonML is a syntax and toolchain for the OCaml language that offers a JavaScript-friendly, type-safe alternative for building web and native applications.
  • C. F#
    F# is a functional-first, multi-paradigm programming language for the .NET platform, known for its strong type system and concise, expressive syntax.
  • D. coq gaulois
    Coq gaulois is the French term for the Gallic rooster, a national emblem of France symbolizing courage, pride, and the French nation.
  • E. Haskell
    Haskell is a statically typed, purely functional programming language known for its strong type system, lazy evaluation, and use in both academic research and industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hostLanguage
Context triple: [ReasonML, hostLanguage, OCaml]
  • A. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • B. identityLanguage chosen
    Indicates that two language entities are identical or represent the same language.
  • C. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • D. languageUse
    Indicates the language or languages an entity uses for communication, expression, or interaction.
  • E. languageOfEnvironment
    Indicates the language predominantly used or present in a given environment or context.
  • F. None of above.

Provenance (4 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f15a9ac8190802f66f3699fbbe7 completed March 7, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69a4bb525b648190adcb7a29256d3c41 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:45 p.m.