Triple

T1117552
Position Surface form Disambiguated ID Type / Status
Subject Authoring Tool Accessibility Guidelines E11135 entity
Predicate hasAbbreviation P43 FINISHED
Object ATAG E7986 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: ATAG | Statement: [Authoring Tool Accessibility Guidelines, hasAbbreviation, ATAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATAG
Context triple: [Authoring Tool Accessibility Guidelines, hasAbbreviation, ATAG]
  • A. ATAG chosen
    ATAG (Authoring Tool Accessibility Guidelines) is a W3C specification that defines how software used to create web content should support accessibility both in its user interface and in the content it produces.
  • B. ATG
    ATG is the three-letter ISO 3166-1 alpha-3 country code assigned to Antigua and Barbuda.
  • C. ATAS
    ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
  • D. AGAT
    AGAT is a Polish special forces unit known for high-risk direct action, counterterrorism, and rapid response operations.
  • E. TAG
    TAG is the W3C Technical Architecture Group, a committee that steers the architectural principles and long-term technical direction of 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bba425a8819099116e479552332e completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53999b3c8190aff1cf84a3c16909 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.