Triple

T22411666
Position Surface form Disambiguated ID Type / Status
Subject 1000 de La Gauchetière E554006 entity
Predicate connectedTo P37 FINISHED
Object Central Station (Montreal) 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: Central Station (Montreal) | Statement: [1000 de La Gauchetière, connectedTo, Central Station (Montreal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Station (Montreal)
Context triple: [1000 de La Gauchetière, connectedTo, Central Station (Montreal)]
  • A. Central Station (Montreal) chosen
    Central Station (Montreal) is a major intercity and commuter railway hub and underground shopping complex serving as one of the primary transportation centers in Montreal.
  • B. Sainte-Anne station
    Sainte-Anne station is an underground metro stop in central Rennes, France, serving as a key node on the Rennes Metro network.
  • C. Outremont station
    Outremont station is a Montreal Metro station on the Blue Line located in the Outremont borough of Montreal, Quebec, Canada.
  • D. Langelier station
    Langelier station is a Montreal Metro station on the Green Line serving the Mercier district in the east end of the city.
  • E. Beaudry station
    Beaudry station is a Montreal Metro station on the Green Line, known for serving the city’s Gay Village along Sainte-Catherine Street.
  • 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.