Triple

T16942337
Position Surface form Disambiguated ID Type / Status
Subject TUC General Secretary E410976 entity
Predicate hasAuthorityOver P544 FINISHED
Object TUC secretariat E410974 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: TUC secretariat | Statement: [TUC General Secretary, hasAuthorityOver, TUC secretariat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUC secretariat
Context triple: [TUC General Secretary, hasAuthorityOver, TUC secretariat]
  • A. TUC
    TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
  • B. TUC
    TUC is the standard abbreviation for the Tucson Saguaros, a professional baseball team based in Tucson, Arizona.
  • C. TUC
    TUC is the main national federation of trade unions in England and Wales, representing millions of workers and coordinating union activities and campaigns.
  • D. TUC
    TUC is the standard abbreviation used for the Tucson Roadrunners, a professional ice hockey team in the American Hockey League.
  • E. TUC Regions chosen
    TUC Regions are the regional divisions of the Trades Union Congress that coordinate and support trade union activity and campaigns across different parts of the UK.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfafc8448190a25be8ada84eff9c completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45e64d881909da963825d2eea98 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.