Triple

T12517925
Position Surface form Disambiguated ID Type / Status
Subject Bayamón metropolitan area E299236 entity
Predicate hasPublicTransportLink P3791 FINISHED
Object Tren Urbano E51431 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 Urbano | Statement: [Bayamón metropolitan area, hasPublicTransportLink, Tren Urbano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tren Urbano
Context triple: [Bayamón metropolitan area, hasPublicTransportLink, 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. Metropistas
    Metropistas is a private concessionaire that operates and manages toll highways and related infrastructure in Puerto Rico.
  • C. Mi Tren
    Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
  • D. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • E. Buenos Aires Underground
    Buenos Aires Underground is the rapid transit system serving Argentina’s capital, known as the oldest subway network in Latin America and a key component of the city’s public transportation.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545a2e188190bb92120df740003d completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.