Triple

T3149637
Position Surface form Disambiguated ID Type / Status
Subject Fox Television Stations E65844 entity
Predicate ownsStation P19286 FINISHED
Object KTTV E164002 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: KTTV | Statement: [Fox Television Stations, ownsStation, KTTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTTV
Context triple: [Fox Television Stations, ownsStation, KTTV]
  • A. KTTV chosen
    KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
  • B. KTHV
    KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
  • C. KNTV
    KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
  • D. KRLD-TV
    KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
  • E. KING-TV
    KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.