Triple

T13695345
Position Surface form Disambiguated ID Type / Status
Subject WRKS E328369 entity
Predicate branding P1500 FINISHED
Object 98.7 Kiss FM E517751 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: 98.7 Kiss FM | Statement: [WRKS, branding, 98.7 Kiss FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 98.7 Kiss FM
Context triple: [WRKS, branding, 98.7 Kiss FM]
  • A. Kiss FM chosen
    Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture programming.
  • B. CKFM-FM
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • C. KROQ-FM
    KROQ-FM is a Los Angeles-based radio station famous for its influential modern rock/alternative music programming and role in shaping contemporary rock culture.
  • D. KJYO
    KJYO is the ICAO airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia, in the United States.
  • E. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.