Triple

T177641
Position Surface form Disambiguated ID Type / Status
Subject Tumblr E3609 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: [Tumblr, programmingLanguage, JavaScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaScript
Context triple: [Tumblr, 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. HTML5
    HTML5 is the fifth major version of the HyperText Markup Language standard, introducing modern web features such as semantic elements, native audio and video, and enhanced APIs for building rich, interactive web applications.
  • D. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • E. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fe7bb08190a56f4a54cadd2fef completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee8a9e488190958091fb3bcf2d01 completed Feb. 28, 2026, 1:32 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.