Triple

T13506421
Position Surface form Disambiguated ID Type / Status
Subject Vicálvaro E321024 entity
Predicate hasRailwayStation P918 FINISHED
Object Vicálvaro Cercanías station E1045561 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: Vicálvaro Cercanías station | Statement: [Vicálvaro, hasRailwayStation, Vicálvaro Cercanías station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicálvaro Cercanías station
Context triple: [Vicálvaro, hasRailwayStation, Vicálvaro Cercanías station]
  • A. Vicálvaro metro station chosen
    Vicálvaro metro station is a Madrid Metro stop serving the Vicálvaro district in the eastern part of Spain’s capital.
  • B. Pedrero station
    Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
  • C. Martínez Nadal station
    Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
  • D. Francisco Goitia station
    Francisco Goitia station is a stop on the Xochimilco Light Rail system in Mexico City, serving local commuters in the southern part of the city.
  • E. José María Moreno station
    José María Moreno station is a stop on Buenos Aires’ Line E subway serving the Caballito neighborhood.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba835f08190bdc21de864e0fcc8 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:43 p.m.