Triple

T2473657
Position Surface form Disambiguated ID Type / Status
Subject W3C Technical Architecture Group E55035 entity
Predicate shortName P43 FINISHED
Object TAG E55035 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: TAG | Statement: [W3C Technical Architecture Group, shortName, TAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAG
Context triple: [W3C Technical Architecture Group, shortName, TAG]
  • A. TAG chosen
    TAG is the W3C Technical Architecture Group, a committee that steers the architectural principles and long-term technical direction of the World Wide Web.
  • B. TG
    TG is the IATA airline designator used to identify Thai Airways International on flight schedules and tickets.
  • C. ATAG
    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.
  • D. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • E. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd149c10c819098ff75f176972c8b completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a8d87c819084637958a5dc4028 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.