Triple

T17794581
Position Surface form Disambiguated ID Type / Status
Subject La Paz station E444255 entity
Predicate hasAdjacentStation P231 FINISHED
Object Los Reyes station 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: Los Reyes station | Statement: [La Paz station, hasAdjacentStation, Los Reyes station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Reyes station
Context triple: [La Paz station, hasAdjacentStation, Los Reyes station]
  • A. Los Reyes station chosen
    Los Reyes station is a Mexico City Metro stop on Line A serving the Los Reyes La Paz area in the eastern part of the metropolitan region.
  • B. Lo Prado station
    Lo Prado station is an underground stop on Santiago, Chile’s Metro system serving the Lo Prado commune along Line 5.
  • C. 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.
  • D. José María Moreno station
    José María Moreno station is a stop on Buenos Aires’ Line E subway serving the Caballito neighborhood.
  • E. 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.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48799f9608190bc97264c849278a0 completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:13 a.m.