Triple

T18917883
Position Surface form Disambiguated ID Type / Status
Subject CHUM-FM E462766 entity
Predicate sisterStation P15137 FINISHED
Object CP24 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: CP24 | Statement: [CHUM-FM, sisterStation, CP24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP24
Context triple: [CHUM-FM, sisterStation, CP24]
  • A. CP24 chosen
    CP24 is a Canadian 24-hour local news television channel based in Toronto, known for its continuous coverage of breaking news, traffic, and weather.
  • B. CP24 Live at Noon
    CP24 Live at Noon is a midday Canadian news program on Toronto’s CP24 channel that provides live coverage of breaking news, weather, traffic, and local events.
  • C. CP24 Breakfast
    CP24 Breakfast is a Canadian morning television news and talk show airing on Toronto’s CP24 channel, featuring local news, traffic, weather, and lifestyle segments.
  • D. CP Série 2400
    CP Série 2400 is a class of Portuguese diesel multiple unit trains built for suburban and regional passenger services on lines such as those around Lisbon.
  • E. CP Class 2240
    CP Class 2240 is a series of electric multiple unit trains operated by Comboios de Portugal, commonly used for suburban and regional passenger services such as those in the Porto urban area.
  • 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.