Triple

T3518385
Position Surface form Disambiguated ID Type / Status
Subject WAFF E74361 entity
Predicate abbreviation P43 FINISHED
Object WAFF E74361 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: WAFF | Statement: [WAFF, abbreviation, WAFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAFF
Context triple: [WAFF, abbreviation, WAFF]
  • A. WAFF chosen
    WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
  • B. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • C. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • D. WFLD
    WFLD is a Fox-owned television station serving the Chicago, Illinois market.
  • E. WPWR-TV
    WPWR-TV is a Chicago-area television station that serves as a MyNetworkTV affiliate and is part of the Fox Television Stations group.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc49dea88190924c8abd29aabdad completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e80cd588190ae012f151ef59c52 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.