Triple

T20099657
Position Surface form Disambiguated ID Type / Status
Subject Canadiens français E496499 entity
Predicate historicalName P65 FINISHED
Object Canadiens 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: Canadiens | Statement: [Canadiens français, historicalName, Canadiens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canadiens
Context triple: [Canadiens français, historicalName, Canadiens]
  • A. Montreal Canadiens chosen
    The Montreal Canadiens are a historic NHL franchise based in Montreal, renowned for their record number of Stanley Cup championships and storied legacy in professional ice hockey.
  • B. Montreal Maroons
    The Montreal Maroons were a now-defunct professional ice hockey team based in Montreal that played in the NHL from 1924 to 1938 and won two Stanley Cups.
  • C. Bruins
    Bruins is the nickname for the athletic teams representing the University of California, Los Angeles (UCLA).
  • D. Bruins
    Bruins is the mascot representing the athletic teams and school spirit of Northwest Whitfield High School.
  • E. Bruins
    Bruins is the mascot name representing the athletic teams and school spirit of North Bergen High School.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666f2298819089659f13556ca305 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.