Triple

T527935
Position Surface form Disambiguated ID Type / Status
Subject CBC E10963 entity
Predicate hasService P182 FINISHED
Object CBC News Network E10963 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: CBC News Network | Statement: [CBC, hasService, CBC News Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBC News Network
Context triple: [CBC, hasService, CBC News Network]
  • A. CBC chosen
    CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
  • B. Citytv
    Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
  • C. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • D. ABC News
    ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
  • E. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d2851c81908129f7da932ab7b3 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c66d76588190864ac6a992c44545 completed March 1, 2026, 11:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.