Triple

T10329795
Position Surface form Disambiguated ID Type / Status
Subject Acid3 E242845 entity
Predicate uses P98 FINISHED
Object DOM E3762 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: DOM | Statement: [Acid3, uses, DOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOM
Context triple: [Acid3, uses, DOM]
  • A. DOM chosen
    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.
  • B. DOM
    DOM is the three-letter ISO 3166-1 alpha-3 country code assigned to the Dominican Republic.
  • C. DHTML
    DHTML (Dynamic HTML) is a web development technique that combines HTML, CSS, and JavaScript to create interactive and animated web pages that update content dynamically without reloading.
  • D. 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.
  • E. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71db4a8dc81909adb2a044e74fd6b completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.