Triple

T21052237
Position Surface form Disambiguated ID Type / Status
Subject Lima Metro Line 1 E518615 entity
Predicate hasStation P35 FINISHED
Object Nicolás Arriola 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: Nicolás Arriola station | Statement: [Lima Metro Line 1, hasStation, Nicolás Arriola station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolás Arriola station
Context triple: [Lima Metro Line 1, hasStation, Nicolás Arriola station]
  • A. Nicolás Arriola station chosen
    Nicolás Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
  • B. Echeverría station
    Echeverría station is a stop on Buenos Aires' Line B subway, serving the Villa Urquiza neighborhood in the northern part of the city.
  • C. Piñero station
    Piñero station is a rapid transit station on the Tren Urbano system in San Juan, Puerto Rico.
  • D. Pino Suárez station
    Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
  • E. José León Suárez station
    José León Suárez station is a suburban railway terminus in the Buenos Aires metropolitan area, serving as the endpoint of one of the branches of Argentina’s Mitre Line.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7cabe881909e6b258a14d501a6 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:35 p.m.