Triple

T10771376
Position Surface form Disambiguated ID Type / Status
Subject Telus E254086 entity
Predicate hasCompetitor P1375 FINISHED
Object Rogers Communications E9102 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: Rogers Communications | Statement: [Telus, hasCompetitor, Rogers Communications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rogers Communications
Context triple: [Telus, hasCompetitor, Rogers Communications]
  • A. Rogers Communications chosen
    Rogers Communications is a major Canadian telecommunications and media company providing wireless, cable, internet, and broadcasting services nationwide.
  • B. Shaw Communications
    Shaw Communications is a Canadian telecommunications company that provides cable television, internet, and phone services, primarily in Western Canada.
  • C. Telus
    Telus is a major Canadian telecommunications company providing wireless, internet, television, and business communication services across Canada.
  • D. 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.
  • E. 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.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732314bcc8190980c6f698f64ccf5 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.