Triple

T8828691
Position Surface form Disambiguated ID Type / Status
Subject LibreOffice E210078 entity
Predicate supportsScripting P203 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: [LibreOffice, supportsScripting, JavaScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaScript
Context triple: [LibreOffice, supportsScripting, 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604c52a48190807e46c15e3c1558 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf896382708190a08c6bacf1157066 completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.