Triple

T21613599
Position Surface form Disambiguated ID Type / Status
Subject Mercier E533373 entity
Predicate hasMetroStation P522 FINISHED
Object Radisson 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: Radisson station | Statement: [Mercier, hasMetroStation, Radisson station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radisson station
Context triple: [Mercier, hasMetroStation, Radisson station]
  • A. Radisson metro station chosen
    Radisson metro station is a Montreal Metro station on the Green Line serving the eastern part of the city, including the Place Versailles shopping centre.
  • B. Roosevelt station
    Roosevelt station is a Tren Urbano rapid transit stop in San Juan, Puerto Rico, serving the Hato Rey district.
  • C. Roosevelt station
    Roosevelt station is an elevated Manila Light Rail Transit stop in Quezon City that serves as a key northern station on LRT Line 1.
  • D. Roosevelt station
    Roosevelt station is a major Chicago 'L' rapid transit stop in the South Loop that serves as a key access point to nearby attractions including the Field Museum, Shedd Aquarium, and Soldier Field.
  • E. Mercantile Center Station
    Mercantile Center Station is a commuter rail stop in Fort Worth, Texas, on the TEXRail line connecting downtown Fort Worth to Dallas/Fort Worth International Airport.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba8d7cc8190a59706896a4c073a completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.