Triple

T17699863
Position Surface form Disambiguated ID Type / Status
Subject Joliette station E441267 entity
Predicate adjacentStation P5707 FINISHED
Object Préfontaine station NE NERFINISHED

How this triple was built (3 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: Préfontaine station | Statement: [Joliette station, adjacentStation, Préfontaine station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Préfontaine station
Context triple: [Joliette station, adjacentStation, Préfontaine station]
  • A. Parc station
    Parc station is a metro stop on the Charleroi Metro network in Charleroi, Belgium.
  • B. Parc station
    Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
  • C. Nice-Ville station
    Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
  • D. Mabillon station
    Mabillon station is a Paris Métro station in the 6th arrondissement, serving the Saint-Germain-des-Prés area on the Left Bank.
  • E. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Préfontaine station
Target entity description: Préfontaine station is a Montreal Metro station on the Green Line serving the Hochelaga-Maisonneuve area of Montreal, Quebec, Canada.
  • A. Parc station
    Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
  • B. Parc station
    Parc station is a metro stop on the Charleroi Metro network in Charleroi, Belgium.
  • C. Nice-Ville station
    Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
  • D. Mabillon station
    Mabillon station is a Paris Métro station in the 6th arrondissement, serving the Saint-Germain-des-Prés area on the Left Bank.
  • E. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • F. None of above. chosen

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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e471597d5c8190bd06337239739cd7 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.