Triple

T7233412
Position Surface form Disambiguated ID Type / Status
Subject Mexico City Metro Line 1 E154957 entity
Predicate hasStation P35 FINISHED
Object Pino Suárez E359532 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: Pino Suárez | Statement: [Mexico City Metro Line 1, hasStation, Pino Suárez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pino Suárez
Context triple: [Mexico City Metro Line 1, hasStation, Pino Suárez]
  • A. Pino Suárez chosen
    Pino Suárez is a public transit station in Mexico City that serves as a stop on the Metrobús Line 4 corridor.
  • B. Vicente Suárez
    Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
  • C. Eliseo González
    Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
  • D. Ernesto Galarza
    Ernesto Galarza was a prominent Mexican-American labor organizer, scholar, and civil rights activist known for his pioneering work on farmworkers’ rights and education reform in the United States.
  • E. Antonio Reynoso
    Antonio Reynoso is an American politician and community advocate who serves as the Borough President of Brooklyn, New York City.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea11b03c81909702ad2e0c29758a completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9567fd22881909bd8f4972144be22 completed March 29, 2026, 4:42 p.m.
Created at: March 27, 2026, 2:55 p.m.