Triple

T12751918
Position Surface form Disambiguated ID Type / Status
Subject Santiago Bueras station E304756 entity
Predicate adjacentStation P5707 FINISHED
Object Pudahuel station E311160 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: Pudahuel station | Statement: [Santiago Bueras station, adjacentStation, Pudahuel station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pudahuel station
Context triple: [Santiago Bueras station, adjacentStation, Pudahuel station]
  • A. Pudahuel station chosen
    Pudahuel station is a Santiago Metro station on Line 5 that serves the Pudahuel commune in western Santiago, Chile.
  • 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. Nicolás Arriola station
    Nicolás Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
  • D. Valle Gómez station
    Valle Gómez station is a stop on Mexico City’s Metro system located in the northeastern part of the city, serving local residential neighborhoods along Line 5.
  • E. Quilpué station
    Quilpué station is a commuter rail stop on Chile’s Valparaíso Metro system serving the city of Quilpué in the Valparaíso Region.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb5f4188190a5d014bf68557a96 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:27 p.m.