Triple

T10729972
Position Surface form Disambiguated ID Type / Status
Subject Bayamón station E253045 entity
Predicate name P16 FINISHED
Object Bayamón station E253045 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: Bayamón station | Statement: [Bayamón station, name, Bayamón station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayamón station
Context triple: [Bayamón station, name, Bayamón station]
  • A. Bayamón station chosen
    Bayamón station is a major rapid transit station in Bayamón, Puerto Rico, serving as the western endpoint of the San Juan metropolitan area's Tren Urbano system.
  • B. Saenz Peña station
    Saenz Peña station is a stop on Line A of the Buenos Aires Underground, serving passengers in the central area of Argentina’s capital city.
  • C. José León Suárez station
    José León Suárez station is a suburban railway terminus in the Buenos Aires metropolitan area, serving as the endpoint of one of the branches of Argentina’s Mitre Line.
  • D. San Pedrito station
    San Pedrito station is the western terminal of Line A on the Buenos Aires Underground (Subte) system in Argentina.
  • E. 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.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fca498881909b40163a138cfb98 completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22a97fec8190bb97f68353c2144e completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.