Triple

T575828
Position Surface form Disambiguated ID Type / Status
Subject Blink E13758 entity
Predicate implements P1417 FINISHED
Object ECMAScript (via JavaScript engine integration) 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 (via JavaScript engine integration) | Statement: [Blink, implements, ECMAScript (via JavaScript engine integration)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECMAScript (via JavaScript engine integration)
Context triple: [Blink, implements, ECMAScript (via JavaScript engine integration)]
  • A. ECMAScript chosen
    ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
  • B. SpiderMonkey
    SpiderMonkey is Mozilla's open-source JavaScript engine, written in C/C++ and used primarily in the Firefox web browser.
  • C. JavaScriptCore
    JavaScriptCore is Apple’s high-performance JavaScript engine used primarily in the Safari web browser and WebKit-based applications.
  • D. ECMA-334
    ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
  • E. V8
    V8 is Google’s high-performance open-source JavaScript engine, used in Chrome and Node.js to compile and execute JavaScript directly to native machine 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4db0248190b2b3ca0290467313 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.