Triple

T13486007
Position Surface form Disambiguated ID Type / Status
Subject Les Rivières borough E318504 entity
Predicate containsNeighbourhood P4813 FINISHED
Object Vanier E195118 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: Vanier | Statement: [Les Rivières borough, containsNeighbourhood, Vanier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanier
Context triple: [Les Rivières borough, containsNeighbourhood, Vanier]
  • A. Vanier chosen
    Vanier is a surname most notably associated with Jean Vanier, the Canadian philosopher and humanitarian who founded the L'Arche communities for people with intellectual disabilities.
  • B. Desautels
    Desautels is a French-origin surname borne by various notable individuals, including Canadian businessman and philanthropist Marcel Desautels.
  • C. Isabelle Vanier
    Isabelle Vanier is a notable individual associated with the Vanier name, recognized as a distinguished bearer of this surname.
  • D. Laurier—Sainte-Marie
    Laurier—Sainte-Marie is a federal electoral district in Montreal, Quebec, represented in the House of Commons of Canada.
  • E. Schulich
    Schulich is a prominent Canadian surname most widely associated with businessman and philanthropist Seymour Schulich, whose major donations have named several educational institutions and programs.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.