Triple

T9609381
Position Surface form Disambiguated ID Type / Status
Subject Buenavista railway station E232058 entity
Predicate serves P98 FINISHED
Object Tren Suburbano E232060 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: Tren Suburbano | Statement: [Buenavista railway station, serves, Tren Suburbano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tren Suburbano
Context triple: [Buenavista railway station, serves, Tren Suburbano]
  • A. Tren Urbano
    Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
  • B. Ferrocarril Suburbano chosen
    Ferrocarril Suburbano is a commuter rail system serving the Mexico City metropolitan area, connecting the city center with several northern suburbs.
  • C. Tren Ligero
    Tren Ligero is a light rail transit system in Mexico City that complements the metro and bus networks by serving southern areas of the city.
  • D. Subte
    Subte is the rapid transit metro system serving Buenos Aires, Argentina, and one of the oldest underground rail networks in Latin America.
  • E. Mi Tren
    Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8469e081909c8fb7c84ffea2b3 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.