Triple

T13446859
Position Surface form Disambiguated ID Type / Status
Subject La Alameda E320505 entity
Predicate hasMetroStations P39430 FINISHED
Object Baquedano metro station E1009244 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: Baquedano metro station | Statement: [La Alameda, hasMetroStations, Baquedano metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baquedano metro station
Context triple: [La Alameda, hasMetroStations, Baquedano metro station]
  • A. Baquedano metro station chosen
    Baquedano metro station is a major interchange station of the Santiago Metro in Chile, serving as a key transit hub near the city center.
  • B. Potrero Metro Station
    Potrero Metro Station is a Mexico City Metro station serving commuters in the northern part of the city within the Gustavo A. Madero borough.
  • C. Paraíso metro station
    Paraíso metro station is a key São Paulo Metro interchange station near Avenida Paulista, connecting multiple lines and serving one of the city’s main commercial and cultural corridors.
  • D. Colón metro station
    Colón metro station is an underground rapid transit stop in Madrid, Spain, serving the area around the Plaza de Colón.
  • E. Martín Carrera metro station
    Martín Carrera metro station is a major Mexico City Metro interchange and terminal station serving multiple lines in the northeastern part of the city.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef5f610819092cad33ef72075ff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547b484c8190881e869b3a722e89 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:41 p.m.