Triple

T4074127
Position Surface form Disambiguated ID Type / Status
Subject North Shore municipalities E86720 entity
Predicate hasMunicipality P847 FINISHED
Object Blainville E238268 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: Blainville | Statement: [North Shore municipalities, hasMunicipality, Blainville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blainville
Context triple: [North Shore municipalities, hasMunicipality, Blainville]
  • A. Blainville chosen
    Blainville is a suburban town in southwestern Quebec, Canada, known for its residential communities and proximity to the Greater Montreal area.
  • B. Limoilou
    Limoilou is a primarily residential neighborhood in Quebec City, Canada, known for its dense urban fabric, vibrant local commerce, and historic working-class character.
  • C. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • D. Villeneuve-le-Roi
    Villeneuve-le-Roi is a suburban commune in the southeastern outskirts of Paris, France, situated along the Seine River and closely linked to the nearby Orly Airport.
  • E. Mascouche
    Mascouche is a suburban city in southwestern Quebec, Canada, located northeast of Montreal and known for its rapid residential growth and commuter population.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc245d888190ae773f9c3077953b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57698f5a48190991526fb26d451fb completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:39 p.m.