Triple

T6673920
Position Surface form Disambiguated ID Type / Status
Subject Santiago Metro Line 5 E151801 entity
Predicate hasStation P35 FINISHED
Object Las Parcelas station E337073 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: Las Parcelas station | Statement: [Santiago Metro Line 5, hasStation, Las Parcelas station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Parcelas station
Context triple: [Santiago Metro Line 5, hasStation, Las Parcelas station]
  • A. Las Parcelas station chosen
    Las Parcelas station is a stop on Santiago’s Metro system serving Line 5 in the city’s western sector.
  • B. Blaustein station
    Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
  • C. Meadowview Station
    Meadowview Station is a light rail transit station in Sacramento, California, serving as part of the Sacramento Regional Transit District’s network.
  • D. 46th Street Station
    46th Street Station is a light rail stop in Minneapolis, Minnesota, serving passengers on the METRO Blue Line.
  • E. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f1d9d081909670f5c0b7389c0d completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71290084081909f23126c63d2d2ab completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:03 p.m.