Triple

T5880609
Position Surface form Disambiguated ID Type / Status
Subject Canadian Tire Corporation, Limited E130738 entity
Predicate hasSubsidiary P254 FINISHED
Object Party City Canada E483149 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: Party City Canada | Statement: [Canadian Tire Corporation, Limited, hasSubsidiary, Party City Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Party City Canada
Context triple: [Canadian Tire Corporation, Limited, hasSubsidiary, Party City Canada]
  • A. Party City chosen
    Party City is a retail chain specializing in party supplies, decorations, and costumes for events and celebrations.
  • B. Canadice Outlet
    Canadice Outlet is the stream that carries water away from Canadice Lake in New York’s Finger Lakes region.
  • C. Party Central
    Party Central is a Pixar animated short film set in the Monsters University universe, featuring Mike Wazowski and Sulley throwing a wild fraternity party.
  • D. Toronto Event Centre
    Toronto Event Centre is a prominent multi-purpose event and entertainment venue located within Toronto’s historic Exhibition Place grounds.
  • E. EventCity
    EventCity is a large exhibition and conference venue located close to the Trafford Centre in Greater Manchester, hosting trade shows, consumer events, and corporate functions.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03635a41c819086f9a5df242777f2 completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b12d9e348190b4baf171ce448d5b completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.