Triple

T9899759
Position Surface form Disambiguated ID Type / Status
Subject WinRT E182253 entity
Predicate languageProjection P11734 FINISHED
Object JavaScript E3742 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: JavaScript | Statement: [WinRT, languageProjection, JavaScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaScript
Context triple: [WinRT, languageProjection, JavaScript]
  • A. JavaScript chosen
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • B. JS
    JS is the commonly used abbreviation for the United States military’s Joint Staff, which assists the Chairman of the Joint Chiefs of Staff in strategic planning and coordination among the armed services.
  • C. JScript
    JScript is Microsoft's dialect of the ECMAScript scripting language, primarily used for client-side scripting in Internet Explorer and for automation tasks in Windows environments.
  • D. ECMAScript
    ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
  • E. How JavaScript Works
    "How JavaScript Works" is a technical book by Douglas Crockford that explores the inner mechanics, design decisions, and quirks of the JavaScript language for experienced developers.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4adc03481909e0f657db01e5bab completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb17ed548190a2510a667dd988ca completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.