Triple

T22886324
Position Surface form Disambiguated ID Type / Status
Subject Calgary TELUS Convention Centre E567612 entity
Predicate hasTechnologyPartner P25917 FINISHED
Object TELUS 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: TELUS | Statement: [Calgary TELUS Convention Centre, hasTechnologyPartner, TELUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TELUS
Context triple: [Calgary TELUS Convention Centre, hasTechnologyPartner, TELUS]
  • A. Telus chosen
    Telus is a major Canadian telecommunications company providing wireless, internet, television, and business communication services across Canada.
  • B. SaskTel
    SaskTel is a Canadian telecommunications company providing phone, internet, wireless, and TV services primarily in the province of Saskatchewan.
  • C. Rogers Communications
    Rogers Communications is a major Canadian telecommunications and media company providing wireless, cable, internet, and broadcasting services nationwide.
  • D. 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.
  • E. Rogers Wireless
    Rogers Wireless is one of Canada’s largest mobile network operators, providing nationwide wireless voice, data, and related telecommunications services.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc1e3408190833a062afbea509d completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.