Triple

T108724
Position Surface form Disambiguated ID Type / Status
Subject Fox E2195 entity
Predicate flagshipStation P394 FINISHED
Object KTTV (Los Angeles) E715 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 (Los Angeles) | Statement: [Fox, flagshipStation, KTTV (Los Angeles)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTTV (Los Angeles)
Context triple: [Fox, flagshipStation, KTTV (Los Angeles)]
  • A. 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.
  • B. Long Beach
    Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
  • C. Pasadena
    Pasadena is a city in Los Angeles County, California, known for its scientific and cultural institutions and as the longtime host of the annual Rose Parade and Rose Bowl Game.
  • D. Los Angeles chosen
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • E. Fresno
    Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a25b7e2c188190b1dd8aafd4507a99 completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e81aa48190827b634822e25058 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.