Triple

T6790207
Position Surface form Disambiguated ID Type / Status
Subject ExtendScript E155912 entity
Predicate basedOn P98 FINISHED
Object ECMAScript 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 | Statement: [ExtendScript, basedOn, ECMAScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECMAScript
Context triple: [ExtendScript, basedOn, ECMAScript]
  • 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 standard
    An ECMA standard is a technical specification published by Ecma International that defines interoperable formats, languages, or interfaces for information and communication systems.
  • C. ECMA-340
    ECMA-340 is an international standard that specifies the Near Field Communication (NFC) interface and protocol for short-range wireless communication between electronic devices.
  • D. ECMA-372
    ECMA-372 is the ECMA standard that defines the C++/CLI language specification for managed extensions of C++ targeting the .NET runtime.
  • E. ECMA-367
    ECMA-367 is the official international standard that defines the syntax and semantics of the Eiffel programming language.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ab4ce88190b6311e4d5aac758c completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8c445c8190abea97a04d648f52 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.