Triple

T17975762
Position Surface form Disambiguated ID Type / Status
Subject Pío Nono station E449464 entity
Predicate connectsTo P845 FINISHED
Object Cumbre 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: Cumbre station | Statement: [Pío Nono station, connectsTo, Cumbre station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumbre station
Context triple: [Pío Nono station, connectsTo, Cumbre station]
  • A. Cumbre station chosen
    Cumbre station is a stop on the Funicular de Santiago, a historic hillside railway that carries passengers up San Cristóbal Hill in Santiago, Chile.
  • B. Malargüe Station
    Malargüe Station is a deep-space tracking facility in Argentina that supports the European Space Agency’s missions by communicating with and monitoring spacecraft across the solar system.
  • C. Ruperto Elichiribehety Station
    Ruperto Elichiribehety Station is a small Uruguayan research base in Antarctica used for scientific studies in the polar environment.
  • D. Vicuña Mackenna station
    Vicuña Mackenna station is a Santiago Metro station in Chile that serves as a key interchange point and terminal for certain metro lines in the city’s network.
  • E. Montserrat station
    Montserrat station is a commuter rail stop in Beverly, Massachusetts, serving MBTA trains on the Rockport Branch of the Newburyport/Rockport 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fee86c8190a9a220b008e78e10 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.