Triple

T8473358
Position Surface form Disambiguated ID Type / Status
Subject Line E (Buenos Aires Underground) E200331 entity
Predicate station P726 FINISHED
Object Bolívar station E716619 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: Bolívar station | Statement: [Line E (Buenos Aires Underground), station, Bolívar station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolívar station
Context triple: [Line E (Buenos Aires Underground), station, Bolívar station]
  • A. Bolívar station chosen
    Bolívar station is a stop on the Buenos Aires Underground (Subte) network, serving Line E in the historic center of Argentina’s capital.
  • B. Baquedano station
    Baquedano station is a major interchange hub in the Santiago Metro system, connecting multiple lines and serving as a key access point to the central area of Chile’s capital.
  • C. La Paz station
    La Paz station is a Mexico City Metro terminal station serving as the eastern endpoint of Line A in the State of Mexico.
  • D. Castro Barros station
    Castro Barros station is a stop on Buenos Aires’ historic Line A subway, serving the Almagro neighborhood with access to central parts of the city.
  • E. Buendia station
    Buendia station is an elevated rapid transit stop on Manila's MRT Line 3 serving the busy Buendia Avenue area in Makati, Philippines.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f4fbf481909e4fd7c078b27477 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf423bade4819094204d98303093c8 completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6:11 p.m.