Triple

T7509876
Position Surface form Disambiguated ID Type / Status
Subject Autoroute 15 (Quebec) E177491 entity
Predicate passesThrough P225 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: [Autoroute 15 (Quebec), passesThrough, Blainville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blainville
Context triple: [Autoroute 15 (Quebec), passesThrough, 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. Saint-Constant
    Saint-Constant is a suburban city located on the South Shore of Montreal in the province of Quebec, Canada.
  • E. Chambly
    Chambly is a city in southwestern Quebec, Canada, known for its historic Fort Chambly and location along the Richelieu River.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d052888190ae8678f9134d737c completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86831f43c8190a3fb1992a4c5245a completed March 28, 2026, 11:45 p.m.
Created at: March 27, 2026, 3:45 p.m.