Triple

T4745370
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Mexico City Metro) E105349 entity
Predicate servesStation P839 FINISHED
Object Aragón station E457782 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: Aragón station | Statement: [Line 5 (Mexico City Metro), servesStation, Aragón station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aragón station
Context triple: [Line 5 (Mexico City Metro), servesStation, Aragón station]
  • A. Bosque de Aragón station chosen
    Bosque de Aragón station is a Mexico City Metro station serving the Line B route in the northeastern part of the city, near the Bosque de Aragón park.
  • B. Zaragoza-Delicias station
    Zaragoza-Delicias station is the main intermodal railway hub in Zaragoza, Spain, serving high-speed, regional, and long-distance train services.
  • C. Pedrero station
    Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
  • D. Talavera station
    Talavera station is one of the intermediate stops on Wellington’s historic cable car line in New Zealand, serving nearby residential and university areas.
  • 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 (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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ab946481909eccdb3e8c5d1f6a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a37a77881909d32027f1ada99c5 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.