Triple

T22995832
Position Surface form Disambiguated ID Type / Status
Subject Metrô do Recife E572186 entity
Predicate hasStation P35 FINISHED
Object Recife 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: Recife Station | Statement: [Metrô do Recife, hasStation, Recife Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Recife Station
Context triple: [Metrô do Recife, hasStation, Recife Station]
  • A. Recife Station chosen
    Recife Station is a central metro and rail hub in the city of Recife, Brazil, serving as a key node in the region’s public transportation network.
  • B. Río de Janeiro station
    Río de Janeiro station is a stop on Line A of the Buenos Aires Underground, serving passengers in the Caballito neighborhood of Argentina’s capital.
  • C. São Sebastião station
    São Sebastião station is a major Lisbon Metro interchange and terminal on the Red Line, serving the São Sebastião da Pedreira area near central Lisbon.
  • D. Campo Grande station
    Campo Grande station is a major Lisbon Metro interchange and transport hub in northern Lisbon, serving both the Green and Yellow lines and connecting to several bus routes.
  • E. Martim Moniz station
    Martim Moniz station is a Lisbon Metro station on the Green Line, located near the historic Martim Moniz square in central Lisbon.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f3186c81909e0d5177029a72ae completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.