Triple

T3593589
Position Surface form Disambiguated ID Type / Status
Subject Sears Canada E76082 entity
Predicate competitor P1375 FINISHED
Object Canadian Tire E130738 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: Canadian Tire | Statement: [Sears Canada, competitor, Canadian Tire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canadian Tire
Context triple: [Sears Canada, competitor, Canadian Tire]
  • A. Canadian Tire chosen
    Canadian Tire is a major Canadian retail company best known for its nationwide chain of automotive, hardware, sports, leisure, and home goods stores.
  • B. Sears Canada
    Sears Canada was a major Canadian department store chain that operated retail stores, catalog, and online shopping until its closure in 2018.
  • C. Loblaws supermarket
    Loblaws supermarket is a major Canadian grocery store chain known for its large-format supermarkets and wide selection of food and household products.
  • D. Sobeys
    Sobeys is one of Canada’s largest supermarket chains, operating grocery stores and related retail banners across the country.
  • E. Canadice Outlet
    Canadice Outlet is the stream that carries water away from Canadice Lake in New York’s Finger Lakes region.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15bbbcc81908d6cf95f8e70c6ca completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030fab188190b8de1a4b4d625f00 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.