Triple

T15466876
Position Surface form Disambiguated ID Type / Status
Subject Communication Workers Union E372052 entity
Predicate affiliation P10 FINISHED
Object TUC E412156 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 | Statement: [Communication Workers Union, affiliation, TUC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUC
Context triple: [Communication Workers Union, affiliation, TUC]
  • 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 chosen
    TUC is the main national federation of trade unions in England and Wales, representing millions of workers and coordinating union activities and campaigns.
  • C. TUC
    TUC is the standard abbreviation used for the Tucson Roadrunners, a professional ice hockey team in the American Hockey League.
  • D. TUC Regions
    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.
  • E. TUC Education
    TUC Education is the training and educational arm of the Trades Union Congress, providing courses and resources to support trade union representatives and members.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f69a31c81909a749247b6615d91 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d01a23c819095cf75b7d5a801a9 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.