Triple

T21052235
Position Surface form Disambiguated ID Type / Status
Subject Lima Metro Line 1 E518615 entity
Predicate hasStation P35 FINISHED
Object San Borja Sur 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: San Borja Sur station | Statement: [Lima Metro Line 1, hasStation, San Borja Sur station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Borja Sur station
Context triple: [Lima Metro Line 1, hasStation, San Borja Sur station]
  • A. San Borja Sur station chosen
    San Borja Sur station is a passenger station on Line 1 of the Lima Metro serving the San Borja district of Lima, Peru.
  • B. San Pedrito station
    San Pedrito station is the western terminal of Line A on the Buenos Aires Underground (Subte) system in Argentina.
  • C. 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.
  • D. Santiago Bueras station
    Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
  • E. 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.
  • 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.