Triple

T4099610
Position Surface form Disambiguated ID Type / Status
Subject Edmonton LRT E87907 entity
Predicate hasStation P35 FINISHED
Object Central Station E355359 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: Central Station | Statement: [Edmonton LRT, hasStation, Central Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Station
Context triple: [Edmonton LRT, hasStation, Central Station]
  • A. Central Station
    Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
  • B. Central Station chosen
    Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
  • C. Christie station
    Christie station is a subway station on Toronto's Bloor–Danforth line serving the Christie Street and Bloor Street West area.
  • D. Luz Station
    Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
  • E. Wonderland station
    Wonderland station is a major Massachusetts Bay Transportation Authority rapid transit hub in Revere, Massachusetts, serving as the northern endpoint of Boston’s Blue Line near Revere Beach.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7585bc81909dc2c02e60a55def completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.