Triple

T16394452
Position Surface form Disambiguated ID Type / Status
Subject Autoroute 15 E398142 entity
Predicate connectsTo P845 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, connectsTo, Blainville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blainville
Context triple: [Autoroute 15, connectsTo, 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. Blainville
    Blainville was a French zoologist and anatomist known for his influential work in comparative anatomy and taxonomy in the early 19th century.
  • C. 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.
  • D. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • E. Blainville-sur-l'Eau
    Blainville-sur-l'Eau is a commune in northeastern France known for its location along the Meurthe River in the Meurthe-et-Moselle department.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3264538e4819082442d254accf392 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9c8de4819093ae3901cf0c8805 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:08 a.m.