Triple

T4472649
Position Surface form Disambiguated ID Type / Status
Subject Maisonneuve neighbourhood E98529 entity
Predicate hasNearbyMetroStation P26735 FINISHED
Object Viau station E422835 NE FINISHED

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: Viau station | Statement: [Maisonneuve neighbourhood, hasNearbyMetroStation, Viau station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viau station
Context triple: [Maisonneuve neighbourhood, hasNearbyMetroStation, Viau station]
  • A. Viau station chosen
    Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
  • B. Recreo station
    Recreo station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal area between Valparaíso and Viña del Mar.
  • C. Wawa station
    Wawa station is a commuter rail station in Wawa, Pennsylvania, serving as the terminus of SEPTA's Media/Wawa Line.
  • D. Kommunarka station
    Kommunarka station is a southern terminal metro station on Moscow’s Sokolnicheskaya Line, serving the rapidly developing Kommunarka district.
  • E. Legarda station
    Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356b95c888190a84bf4a9b2c60aa6 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b628764bf081909a7a1079d0176c66 completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.