Triple

T18191792
Position Surface form Disambiguated ID Type / Status
Subject Orange Line (Montreal Metro) E435552 entity
Predicate hasStation P35 FINISHED
Object Villa-Maria 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: Villa-Maria station | Statement: [Orange Line (Montreal Metro), hasStation, Villa-Maria station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa-Maria station
Context triple: [Orange Line (Montreal Metro), hasStation, Villa-Maria station]
  • A. Villa-Maria station chosen
    Villa-Maria station is a Montreal Metro station on the Orange Line, serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough near the historic Villa Maria school.
  • B. Bellavista station
    Bellavista station is a passenger rail stop on the Valparaíso Metro system serving the coastal city of Valparaíso, Chile.
  • C. Legarda station
    Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
  • D. Villafranca Station
    Villafranca Station is a European Space Agency ground tracking facility in Spain that supports communication and data acquisition for various space missions as part of the ESTRACK network.
  • E. Oriente station
    Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d05974819094b4a50d081be881 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.