Triple

T1160409
Position Surface form Disambiguated ID Type / Status
Subject ReasonML E24477 entity
Predicate relatedTo P37 FINISHED
Object BuckleScript E131761 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: BuckleScript | Statement: [ReasonML, relatedTo, BuckleScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BuckleScript
Context triple: [ReasonML, relatedTo, BuckleScript]
  • A. BuckleScript chosen
    BuckleScript is a JavaScript backend and toolchain that compiles OCaml/ReasonML code into highly optimized, readable JavaScript for web and Node.js development.
  • 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. ReScript compiler (historical)
    The historical ReScript compiler is the original ReasonML-to-JavaScript compilation tool that later evolved into the standalone ReScript language and toolchain.
  • D. Deno
    Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
  • E. Svelte
    Svelte is a modern JavaScript framework and compiler for building user interfaces that shifts much of the work to a build step, producing highly efficient, minimal runtime code.
  • 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_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_69ac667d2bdc8190b7d797683a4d3fe8 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.