Triple

T16219511
Position Surface form Disambiguated ID Type / Status
Subject North Shore of Montreal E393682 entity
Predicate contains P35 FINISHED
Object Deux-Montagnes E417527 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: Deux-Montagnes | Statement: [North Shore of Montreal, contains, Deux-Montagnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deux-Montagnes
Context triple: [North Shore of Montreal, contains, Deux-Montagnes]
  • A. Deux-Montagnes chosen
    Deux-Montagnes is a suburban city in southwestern Quebec, Canada, located northwest of Montreal along the north shore of the Rivière des Mille Îles.
  • B. Marly-la-Ville
    Marly-la-Ville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • C. Montmagny
    Montmagny is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Murten in a predominantly rural, agricultural setting.
  • D. Montmagny
    Montmagny is a town in the Chaudière-Appalaches region of Quebec, Canada, located along the south shore of the Saint Lawrence River.
  • E. Montmagny
    Montmagny is a French commune located in the northern suburbs of Paris, known for its residential character within the Val-d'Oise 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fabf708190a624c1ed8ce48b0a completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c46bd2081908d6d9fd1898ea5f7 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:03 a.m.