Triple

T13787489
Position Surface form Disambiguated ID Type / Status
Subject WAGA-TV E331300 entity
Predicate callSign P1565 FINISHED
Object WAGA-TV E331300 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: WAGA-TV | Statement: [WAGA-TV, callSign, WAGA-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAGA-TV
Context triple: [WAGA-TV, callSign, WAGA-TV]
  • A. WAGA-TV chosen
    WAGA-TV is a Fox-affiliated television station serving the Atlanta, Georgia market.
  • B. WGN-TV
    WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
  • C. WGN
    WGN is the National Rail station code for Wigan North Western railway station in Greater Manchester, England.
  • D. XEW-TV
    XEW-TV is a pioneering Mexican television station based in Mexico City that became one of the flagship channels of what is now Televisa.
  • E. WSNS-TV
    WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0249e4f88190a80316394940627d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07d872c81908f912263d8f7c80d completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.