Triple

T5910685
Position Surface form Disambiguated ID Type / Status
Subject Downtown Montreal E131449 entity
Predicate hasPart P35 FINISHED
Object Bell Centre E89532 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: Bell Centre | Statement: [Downtown Montreal, hasPart, Bell Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bell Centre
Context triple: [Downtown Montreal, hasPart, Bell Centre]
  • A. Bell Centre chosen
    The Bell Centre is a major indoor sports and entertainment arena in downtown Montreal, best known as the home venue of the NHL’s Montreal Canadiens.
  • B. Videotron Centre
    Videotron Centre is a modern multi-purpose indoor arena in Quebec City, Canada, primarily used for ice hockey and large-scale entertainment events.
  • C. FirstOntario Centre
    FirstOntario Centre is a large multi-purpose indoor arena in downtown Hamilton, Ontario, primarily used for sports events and concerts.
  • D. Montreal Arena
    Montreal Arena was an early 20th-century indoor ice hockey rink in Montreal, notable as one of the first major arenas used by professional teams in the National Hockey Association and early NHL.
  • E. SaskTel Centre
    SaskTel Centre is a major indoor arena and entertainment venue in Saskatoon, Saskatchewan, hosting concerts, sports events, and large-scale cultural gatherings.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037767af08190b5678cff9fd0816f completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1080a949c8190a9902f6da45e27a8 completed March 23, 2026, 9:29 a.m.
Created at: March 22, 2026, 3:59 p.m.