Triple

T6420286
Position Surface form Disambiguated ID Type / Status
Subject Montreal federal electoral districts E127926 entity
Predicate include P1393 FINISHED
Object Saint-Laurent E110596 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: Saint-Laurent | Statement: [Montreal federal electoral districts, include, Saint-Laurent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Laurent
Context triple: [Montreal federal electoral districts, include, Saint-Laurent]
  • A. Saint-Laurent chosen
    Saint-Laurent is a borough of Montreal known as a major residential and industrial hub on the Island of Montreal in Quebec, Canada.
  • B. Bettencourt
    Bettencourt is a prominent French surname most famously associated with Liliane Bettencourt, the L'Oréal heiress and once one of the world's wealthiest women.
  • C. La Côte-Saint-André
    La Côte-Saint-André is a commune in southeastern France known as the birthplace of composer Hector Berlioz and the place where painter Johan Barthold Jongkind died.
  • D. Saint-Henri
    Saint-Henri is a historic, traditionally working-class neighborhood in Montreal known for its industrial heritage, canalside location, and ongoing gentrification.
  • E. Grasse
    Grasse is a town in southeastern France renowned as the world’s perfume capital and a historic center of the fragrance industry.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06902ddb48190bd5a8b5ecdf6c39e completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640d5f6f88190963a1e59400c7aa0 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:43 p.m.