Triple

T3149658
Position Surface form Disambiguated ID Type / Status
Subject Fox Television Stations E65844 entity
Predicate ownsStation P19286 FINISHED
Object KTVU
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
E331311 NE FINISHED

How this triple was built (4 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: KTVU | Statement: [Fox Television Stations, ownsStation, KTVU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTVU
Context triple: [Fox Television Stations, ownsStation, KTVU]
  • A. KNTV
    KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
  • B. KCRA-TV
    KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
  • C. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • D. KTTV
    KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
  • E. KTLA
    KTLA is a major Los Angeles television station known as one of the oldest continuously operating TV stations in the United States and a prominent affiliate of The CW network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KTVU
Triple: [Fox Television Stations, ownsStation, KTVU]
Generated description
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KTVU
Target entity description: KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
  • A. KNTV
    KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
  • B. KCRA-TV
    KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
  • C. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • D. KTTV
    KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
  • E. KTLA
    KTLA is a major Los Angeles television station known as one of the oldest continuously operating TV stations in the United States and a prominent affiliate of The CW network.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69b225b27e1c8190a3df0d4692ee66c6 completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b226339e4881908690f7ea7a7bd50c completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.