Triple

T17053492
Position Surface form Disambiguated ID Type / Status
Subject Bois-des-Filion E413759 entity
Predicate locatedNear P294 FINISHED
Object Rosemère E413758 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: Rosemère | Statement: [Bois-des-Filion, locatedNear, Rosemère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosemère
Context triple: [Bois-des-Filion, locatedNear, Rosemère]
  • A. Rosemère chosen
    Rosemère is a suburban town in southwestern Quebec, Canada, known for its residential character and location on Montreal’s North Shore.
  • B. Côte-Saint-Paul
    Côte-Saint-Paul is a residential neighborhood in the Sud-Ouest borough of Montreal, known for its working-class roots and proximity to the Lachine Canal.
  • C. Cartierville
    Cartierville is a residential neighborhood in the northern part of Montreal, known for its diverse population and location along the Rivière des Prairies.
  • D. City of Sainte-Thérèse
    The City of Sainte-Thérèse is the municipal government responsible for administering and managing local services and development in the community of Sainte-Thérèse, Quebec, Canada.
  • E. Val-Bélair
    Val-Bélair is a suburban district of Quebec City, Quebec, known for its residential character and proximity to natural areas and military installations.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa491008190ad013ee37532aa51 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.