Triple

T21761349
Position Surface form Disambiguated ID Type / Status
Subject Cineplex Cinemas Vaughan E537170 entity
Predicate locatedIn P40 FINISHED
Object Vaughan, Ontario, Canada 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: Vaughan, Ontario, Canada | Statement: [Cineplex Cinemas Vaughan, locatedIn, Vaughan, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaughan, Ontario, Canada
Context triple: [Cineplex Cinemas Vaughan, locatedIn, Vaughan, Ontario, Canada]
  • A. Mississauga, Ontario, Canada
    Mississauga, Ontario, Canada is a large suburban city west of Toronto known for its diverse population, major corporate headquarters, and proximity to Toronto Pearson International Airport.
  • B. Don Mills
    Don Mills is a music producer known for his work on J. Cole’s album "The Off-Season."
  • C. Don Mills
    Don Mills is a planned residential and commercial neighbourhood in Toronto, Ontario, known as one of Canada’s first modern suburbs.
  • D. Vaughan
    Vaughan is a surname of Welsh origin that is notably associated with influential figures such as blues guitarist Stevie Ray Vaughan.
  • E. Vaughan chosen
    Vaughan is a rapidly growing suburban city in the Greater Toronto Area known for its diverse communities, shopping and entertainment complexes, and attractions like Canada’s Wonderland.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d9369f88190b4be11b82fe75a17 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.