Triple

T22518077
Position Surface form Disambiguated ID Type / Status
Subject University of Alberta Hospital E556701 entity
Predicate locatedInNeighbourhood P40 FINISHED
Object Garneau 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: Garneau | Statement: [University of Alberta Hospital, locatedInNeighbourhood, Garneau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garneau
Context triple: [University of Alberta Hospital, locatedInNeighbourhood, Garneau]
  • A. Garneau chosen
    Garneau is a French-Canadian surname notably borne by figures such as astronaut and politician Marc Garneau.
  • B. Trottier
    Trottier is a surname most prominently associated with Bryan Trottier, a Hall of Fame Canadian-American ice hockey player and multiple Stanley Cup champion.
  • C. Godbout
    Godbout is a French-Canadian surname most notably associated with Adélard Godbout, a former premier of Quebec.
  • D. Montreal Supra
    Montreal Supra was a professional Canadian soccer club based in Montreal that competed in the original Canadian Soccer League in the late 1980s and early 1990s.
  • E. Aviron Bayonnais
    Aviron Bayonnais is a French professional rugby union club based in Bayonne, known for its Basque identity and participation in the country’s top rugby competitions.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2f5c308190a0e6755a24340917 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.