Triple

T1160762
Position Surface form Disambiguated ID Type / Status
Subject SpiderMonkey E24484 entity
Predicate supportsStandard P1587 FINISHED
Object ECMAScript 2019 E24470 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: ECMAScript 2019 | Statement: [SpiderMonkey, supportsStandard, ECMAScript 2019]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECMAScript 2019
Context triple: [SpiderMonkey, supportsStandard, ECMAScript 2019]
  • A. ECMAScript chosen
    ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
  • B. TC39
    TC39 is the Ecma International committee responsible for developing and standardizing the ECMAScript language, which underpins JavaScript.
  • C. ECMA-334
    ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
  • 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. ECMA-119
    ECMA-119 is an ECMA standard that defines the file system format for CD-ROMs, serving as the basis for the ISO 9660 standard.
  • 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_69acb2f3df34819090d942aad0a409fa completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:45 p.m.