Triple

T5924214
Position Surface form Disambiguated ID Type / Status
Subject ReasonReact E131764 entity
Predicate relatedTo P37 FINISHED
Object ReasonML E24477 NE FINISHED

How this triple was built (2 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: ReasonML | Statement: [ReasonReact, relatedTo, ReasonML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ReasonML
Context triple: [ReasonReact, relatedTo, ReasonML]
  • A. ReasonML chosen
    ReasonML is a syntax and toolchain for the OCaml language that offers a JavaScript-friendly, type-safe alternative for building web and native applications.
  • B. 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.
  • C. js_of_ocaml
    js_of_ocaml is a compiler and toolchain that translates OCaml bytecode into JavaScript, enabling OCaml programs to run in web browsers and other JavaScript environments.
  • D. BuckleScript
    BuckleScript is a JavaScript backend and toolchain that compiles OCaml/ReasonML code into highly optimized, readable JavaScript for web and Node.js development.
  • E. Coq
    Coq is an interactive theorem prover and functional programming language based on dependent type theory, widely used for formally verifying mathematical proofs and software correctness.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03851189c819094524e8b5080545e completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1412fcc84819084be2f6210a00fb0 completed March 23, 2026, 1:33 p.m.
Created at: March 22, 2026, 4 p.m.