Triple

T8305751
Position Surface form Disambiguated ID Type / Status
Subject KCRA-TV E194458 entity
Predicate branding P1500 FINISHED
Object KCRA 3 E194458 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: KCRA 3 | Statement: [KCRA-TV, branding, KCRA 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCRA 3
Context triple: [KCRA-TV, branding, KCRA 3]
  • A. KCRA-TV chosen
    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.
  • B. KPIX-TV
    KPIX-TV is a CBS-affiliated television station serving the San Francisco Bay Area.
  • 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. KTVU
    KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
  • 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.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f293db08190912e5e8bb7e940cf completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.