Triple

T6673917
Position Surface form Disambiguated ID Type / Status
Subject Santiago Metro Line 5 E151801 entity
Predicate hasStation P35 FINISHED
Object Santiago Bueras station E304756 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: Santiago Bueras station | Statement: [Santiago Metro Line 5, hasStation, Santiago Bueras station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago Bueras station
Context triple: [Santiago Metro Line 5, hasStation, Santiago Bueras station]
  • A. Santiago Bueras station chosen
    Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
  • B. 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.
  • C. 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.
  • D. Nicolás Arriola station
    Nicolás Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
  • E. Arriola station
    Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
  • 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_69c700772aa48190a1356b5a252f6524 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:03 p.m.