Triple

T1159999
Position Surface form Disambiguated ID Type / Status
Subject ECMAScript E24470 entity
Predicate hasEdition P35 FINISHED
Object ECMAScript 2 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 2 | Statement: [ECMAScript, hasEdition, ECMAScript 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECMAScript 2
Context triple: [ECMAScript, hasEdition, ECMAScript 2]
  • A. ECMAScript chosen
    ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
  • B. 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.
  • C. ECMA-334
    ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
  • D. ECMA International
    ECMA International is a standards organization best known for maintaining the ECMAScript specification that underpins the JavaScript programming language.
  • E. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • 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_69ac5ebbf80881909010e1e1e59212d4 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:45 p.m.