Triple

T22279401
Position Surface form Disambiguated ID Type / Status
Subject Avenida Brasília E550690 entity
Predicate locatedNear P294 FINISHED
Object Belém railway 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: Belém railway station | Statement: [Avenida Brasília, locatedNear, Belém railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belém railway station
Context triple: [Avenida Brasília, locatedNear, Belém railway station]
  • A. Belém railway station chosen
    Belém railway station is a suburban train station in Lisbon, Portugal, serving the historic Belém district along the Cascais Line.
  • B. 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.
  • C. Belém tram stop
    Belém tram stop is a public tram station in the Belém district of Lisbon, Portugal, serving as a key access point for visitors to the area’s historic monuments and waterfront.
  • D. Campo Belo station
    Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
  • E. Campo Limpo station
    Campo Limpo station is a metro station on São Paulo’s Line 5–Lilac, serving the Campo Limpo district in the city’s south zone.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14eaa8cec819081c2ad031154ebe7 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.