Triple

T16570421
Position Surface form Disambiguated ID Type / Status
Subject NBC-owned television stations E402568 entity
Predicate hasFlagshipStation P22144 FINISHED
Object KNBC E158382 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: KNBC | Statement: [NBC-owned television stations, hasFlagshipStation, KNBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNBC
Context triple: [NBC-owned television stations, hasFlagshipStation, KNBC]
  • A. KNBC
    KNBC is the ICAO airport code for Marine Corps Air Station Beaufort, a major United States Marine Corps aviation facility in South Carolina.
  • B. KNBC-TV chosen
    KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
  • C. KNTV
    KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
  • D. KXAN-TV
    KXAN-TV is a television station serving the Austin, Texas market, known primarily as the local NBC affiliate.
  • E. KTTV
    KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359580f548190a21afd148bc22d8d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee8812c81908ef74636bf39d44a completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.