Triple

T22471803
Position Surface form Disambiguated ID Type / Status
Subject Bayamón, Puerto Rico E555519 entity
Predicate hasTransportation P105 FINISHED
Object Tren Urbano 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: Tren Urbano | Statement: [Bayamón, Puerto Rico, hasTransportation, Tren Urbano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tren Urbano
Context triple: [Bayamón, Puerto Rico, hasTransportation, Tren Urbano]
  • A. Tren Urbano chosen
    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. El Metro
    El Metro is the popular nickname for Estadio Metropolitano Roberto Meléndez, a major football stadium in Barranquilla, Colombia, known as the home of the Colombian national team.
  • C. Metropistas
    Metropistas is a private concessionaire that operates and manages toll highways and related infrastructure in Puerto Rico.
  • D. Mi Tren
    Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
  • E. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be0d3c08190851537660cda619c completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.