Triple

T10900694
Position Surface form Disambiguated ID Type / Status
Subject Videotron Centre E257431 entity
Predicate sponsor P67 FINISHED
Object Vidéotron E886800 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: Vidéotron | Statement: [Videotron Centre, sponsor, Vidéotron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vidéotron
Context triple: [Videotron Centre, sponsor, Vidéotron]
  • A. Quebecor (Videotron) chosen
    Quebecor (Videotron) is a major Canadian telecommunications and media company best known for providing cable TV, internet, and wireless services, primarily in Quebec.
  • B. Shaw Communications
    Shaw Communications is a Canadian telecommunications company that provides cable television, internet, and phone services, primarily in Western Canada.
  • C. Rogers Communications
    Rogers Communications is a major Canadian telecommunications and media company providing wireless, cable, internet, and broadcasting services nationwide.
  • D. Telus
    Telus is a major Canadian telecommunications company providing wireless, internet, television, and business communication services across Canada.
  • E. Telus Sky
    Telus Sky is a distinctive mixed-use skyscraper in downtown Calgary known for its sculpted form and striking LED-illuminated facade.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2f02881908b70be6499dd8d98 completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216c69b088190b8fa192cd8fe23ed completed April 17, 2026, 11:17 a.m.
Created at: April 8, 2026, 9:22 p.m.