Triple

T4698982
Position Surface form Disambiguated ID Type / Status
Subject CFRB E104219 entity
Predicate formerBranding P1501 FINISHED
Object NewsTalk 1010 CFRB E104219 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: NewsTalk 1010 CFRB | Statement: [CFRB, formerBranding, NewsTalk 1010 CFRB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NewsTalk 1010 CFRB
Context triple: [CFRB, formerBranding, NewsTalk 1010 CFRB]
  • A. Newsradio 1060
    Newsradio 1060 is a long-running all-news radio service in Philadelphia known for continuous local, national, and traffic coverage.
  • B. radio station CFRB chosen
    Radio station CFRB is a prominent Toronto-based Canadian news and talk radio broadcaster known for its influential programming and long history in Canadian media.
  • C. CBC Radio One
    CBC Radio One is Canada's primary English-language news and talk radio network operated by the Canadian Broadcasting Corporation.
  • D. KDKA-FM
    KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
  • E. Penn Radio
    Penn Radio was a talk radio show hosted by magician and entertainer Penn Jillette, featuring his commentary, interviews, and comedic discussions on a wide range of topics.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63b57e1c8190962d97e4805974ed completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03c7469081908cf587b2356a4320 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.