Triple

T4481919
Position Surface form Disambiguated ID Type / Status
Subject Line A (Mexico City Metro) E100153 entity
Predicate hasStation P35 FINISHED
Object La Paz station E444255 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: La Paz station | Statement: [Line A (Mexico City Metro), hasStation, La Paz station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Paz station
Context triple: [Line A (Mexico City Metro), hasStation, La Paz station]
  • A. La Paz station chosen
    La Paz station is a Mexico City Metro terminal station serving as the eastern endpoint of Line A in the State of Mexico.
  • B. Baquedano station
    Baquedano station is a major interchange hub in the Santiago Metro system, connecting multiple lines and serving as a key access point to the central area of Chile’s capital.
  • C. 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.
  • D. Santiago Bueras station
    Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
  • E. Carlos Valdovinos station
    Carlos Valdovinos station is a stop on Santiago, Chile’s Metro system serving Line 5 in the city’s urban transit network.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b66b33ecf48190a98ccbde9a3700c1 completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:36 p.m.