Triple

T122694
Position Surface form Disambiguated ID Type / Status
Subject Google Chrome E2482 entity
Predicate programmingLanguage P1592 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: [Google Chrome, programmingLanguage, JavaScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaScript
Context triple: [Google Chrome, programmingLanguage, JavaScript]
  • A. JavaScript chosen
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • B. DOM
    The Document Object Model (DOM) is a platform- and language-neutral interface that represents structured documents like HTML and XML as a tree of objects, enabling programs and scripts to dynamically access and update their content and structure.
  • C. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • D. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • E. CSS
    CSS (Cascading Style Sheets) is a style sheet language used to control the presentation and layout of web pages written in HTML or XML.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a2573b4e7481909ee09d2899f8a74b completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2982485348190b2b361aef7b42fc9 completed Feb. 28, 2026, 7:24 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.