Triple

T19874019
Position Surface form Disambiguated ID Type / Status
Subject Avenida da Liberdade E477592 entity
Predicate hasTransportConnection P845 FINISHED
Object Avenida metro 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: Avenida metro station | Statement: [Avenida da Liberdade, hasTransportConnection, Avenida metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avenida metro station
Context triple: [Avenida da Liberdade, hasTransportConnection, Avenida metro station]
  • A. Avenida metro station chosen
    Avenida metro station is a Lisbon Metro station on the Blue Line, located beneath Avenida da Liberdade in central Lisbon, Portugal.
  • B. Aigaleo metro station
    Aigaleo metro station is an Athens Metro station serving the Aigaleo district in western Athens, Greece.
  • C. Salto del Agua metro station
    Salto del Agua metro station is a Mexico City Metro station in the historic center that serves as an interchange between Line 1 and Line 8.
  • D. Liceu metro station
    Liceu metro station is a Barcelona Metro stop on La Rambla, serving the city’s historic center and the nearby Gran Teatre del Liceu opera house.
  • E. Curado metro station
    Curado metro station is a rapid transit stop on the Recife Metro system in Recife, Brazil, serving the Curado neighborhood and surrounding areas.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d9ee108190a53cc6c8e115d0fa completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.