Triple

T9747125
Position Surface form Disambiguated ID Type / Status
Subject RKO General E236338 entity
Predicate owned P347 FINISHED
Object WOR-FM E817954 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: WOR-FM | Statement: [RKO General, owned, WOR-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WOR-FM
Context triple: [RKO General, owned, WOR-FM]
  • A. WOR (AM) chosen
    WOR (AM) is a long-running New York City talk radio station known for its news, talk, and syndicated programming.
  • B. WWHR-FM
    WWHR-FM is the student-run campus radio station of Western Kentucky University, broadcasting a variety of music and programming to the university community and surrounding area.
  • C. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • D. WNEW-FM
    WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
  • E. WOWO (AM)
    WOWO (AM) is a long-running Fort Wayne, Indiana news/talk radio station historically known for its powerful clear-channel signal and regional influence.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f677830819096d388b9c798ecd5 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcd2e08c8190808b58fdabe0c9d3 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:23 p.m.