Triple

T22411561
Position Surface form Disambiguated ID Type / Status
Subject Place Bonaventure E554004 entity
Predicate connectedTo P37 FINISHED
Object Bonaventure 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: Bonaventure station | Statement: [Place Bonaventure, connectedTo, Bonaventure station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonaventure station
Context triple: [Place Bonaventure, connectedTo, Bonaventure station]
  • A. Bonaventure station chosen
    Bonaventure station is a major Montreal Metro station in downtown Montreal, Quebec, serving as an important transit hub near key commercial and entertainment venues.
  • B. La Hacquinière station
    La Hacquinière station is a local commuter rail stop on the RER B line serving the town of Bures-sur-Yvette in the southern suburbs of Paris, France.
  • C. Saint-Laurent station
    Saint-Laurent station is a Montreal Metro station on the Green Line located in the city's downtown entertainment district.
  • D. Montmorency station
    Montmorency station is a major Montreal Metro terminal in Laval that serves as a key transit hub for the Orange Line and nearby institutions like Collège Montmorency.
  • E. La Poterie station
    La Poterie station is a metro stop on the Rennes Metro network in Rennes, France, serving the southeastern part of the city.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15943dd84819099e77563da470594 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.