Triple

T16793713
Position Surface form Disambiguated ID Type / Status
Subject Río Piedras E408176 entity
Predicate hasTransport P1298 FINISHED
Object Río Piedras station E261015 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: Río Piedras station | Statement: [Río Piedras, hasTransport, Río Piedras station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Piedras station
Context triple: [Río Piedras, hasTransport, Río Piedras station]
  • A. Río Piedras station chosen
    Río Piedras station is a rapid transit stop on San Juan’s Tren Urbano system serving the Río Piedras district and nearby University of Puerto Rico campus.
  • B. Hato Rey station
    Hato Rey station is a rapid transit stop on San Juan, Puerto Rico’s Tren Urbano system serving the Hato Rey financial and commercial district.
  • C. Bayamón station
    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.
  • D. Santo Domingo station
    Santo Domingo station is a terminal stop on the Medellín Metro system in Medellín, Colombia, serving as a key access point for the surrounding hillside neighborhoods.
  • E. Puerto station
    Puerto station is the central waterfront terminus of the Valparaíso Metro in Valparaíso, Chile, serving as a key access point to the historic port city center.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a8b66c8190b83d8af85d2b23a8 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.