Triple

T17318164
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (Montreal Metro) E420483 entity
Predicate hasStation P35 FINISHED
Object Fabre station NE NERFINISHED

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: Fabre station | Statement: [Blue Line (Montreal Metro), hasStation, Fabre station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabre station
Context triple: [Blue Line (Montreal Metro), hasStation, Fabre station]
  • A. Fabre station chosen
    Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
  • B. Falguière station
    Falguière station is a Paris Métro station in the Montparnasse area, serving Line 12 in the 15th arrondissement of Paris.
  • C. Caussade station
    Caussade station is a regional railway station in the town of Caussade in southern France, serving local and regional train services.
  • D. Pasteur station
    Pasteur station is a Paris Métro station in the Montparnasse area, serving as an interchange between lines 6 and 12.
  • E. Mouton-Duvernet station
    Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399ea7dc8190a0ecab7534fe16c3 completed April 19, 2026, 2:10 a.m.
Created at: April 10, 2026, 5:43 a.m.