Triple

T3331802
Position Surface form Disambiguated ID Type / Status
Subject Walter Salles E70048 entity
Predicate notableWork P4 FINISHED
Object Central Station E295250 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: [Walter Salles, notableWork, Central Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Station
Context triple: [Walter Salles, notableWork, Central Station]
  • A. Christie station
    Christie station is a subway station on Toronto's Bloor–Danforth line serving the Christie Street and Bloor Street West area.
  • B. Luz Station chosen
    Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
  • C. 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.
  • D. Terminal B Station
    Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
  • E. The Station
    The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb19358e48190a503af01b92273a4 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a841c608190942e040c14f560d2 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.