Triple

T18917939
Position Surface form Disambiguated ID Type / Status
Subject CKFM-FM E462767 entity
Predicate formerBranding P1501 FINISHED
Object 99.9 Mix FM NE NERFINISHED

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: 99.9 Mix FM | Statement: [CKFM-FM, formerBranding, 99.9 Mix FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 99.9 Mix FM
Context triple: [CKFM-FM, formerBranding, 99.9 Mix FM]
  • A. Kiss FM
    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 chosen
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • C. Big 98.1
    Big 98.1 is a Philadelphia-area FM radio station brand known for playing classic hits and oldies.
  • D. Jack FM
    Jack FM is a Canadian radio network brand known for its adult hits format and slogan “playing what we want,” featuring a wide variety of popular music from past decades.
  • E. WEEP-FM
    WEEP-FM was a Pittsburgh-area radio station best known for its longtime country music format before changing its call sign to WDSY-FM.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62884988190a362ada1a0a47134 completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:59 a.m.