Triple

T8181472
Position Surface form Disambiguated ID Type / Status
Subject Mitre Line E191070 entity
Predicate hasStation P35 FINISHED
Object Martínez station E746416 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: Martínez station | Statement: [Mitre Line, hasStation, Martínez station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martínez station
Context triple: [Mitre Line, hasStation, Martínez station]
  • A. 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.
  • B. José León Suárez station chosen
    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.
  • C. San Pedrito station
    San Pedrito station is the western terminal of Line A on the Buenos Aires Underground (Subte) system in Argentina.
  • D. Valle Gómez station
    Valle Gómez station is a stop on Mexico City’s Metro system located in the northeastern part of the city, serving local residential neighborhoods along Line 5.
  • E. Nicolás Arriola station
    Nicolás Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4c2e388190b86854f8b1765e61 completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab01c58c81909148dacad2dc7667 completed April 3, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:40 p.m.