Triple

T16727065
Position Surface form Disambiguated ID Type / Status
Subject Centre Bell E406490 entity
Predicate namedAfter P63 FINISHED
Object Bell Canada E50567 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: Bell Canada | Statement: [Centre Bell, namedAfter, Bell Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bell Canada
Context triple: [Centre Bell, namedAfter, Bell Canada]
  • A. Bell Canada chosen
    Bell Canada is a major Canadian telecommunications company providing phone, internet, and television services nationwide.
  • B. Bell Canada Enterprises
    Bell Canada Enterprises (BCE Inc.) is a major Canadian telecommunications and media conglomerate that owns Bell Canada and various regional and media subsidiaries.
  • C. Northern Telecom
    Northern Telecom was a major Canadian telecommunications equipment manufacturer and technology company, later known as Nortel Networks, that played a significant role in global telecom infrastructure.
  • D. Mountain Bell
    Mountain Bell was a regional Bell Operating Company that provided telephone service across several western U.S. states before being reorganized into US West.
  • E. Quebecor (Videotron)
    Quebecor (Videotron) is a major Canadian telecommunications and media company best known for providing cable TV, internet, and wireless services, primarily in Quebec.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38748f538819097de1fdee9b42f34 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4627b8819087bbd3ae85a67dfc completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.