Triple

T11490094
Position Surface form Disambiguated ID Type / Status
Subject Narvarte E272382 entity
Predicate servedByMetroStation P28508 FINISHED
Object Metro Eugenia E768224 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: Metro Eugenia | Statement: [Narvarte, servedByMetroStation, Metro Eugenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Eugenia
Context triple: [Narvarte, servedByMetroStation, Metro Eugenia]
  • A. Metro Eugenia chosen
    Metro Eugenia is a Mexico City Metro station serving the Eugenia area along Avenida División del Norte in the Benito Juárez borough.
  • B. Pateros
    Pateros is the smallest and only landlocked municipality in Metro Manila, Philippines, known for its duck-raising industry and production of balut.
  • C. San José Obrero
    San José Obrero is a Catholic title and devotion to Saint Joseph in his role as a humble worker and patron of laborers.
  • D. San Nicolás
    San Nicolás is a central Buenos Aires neighborhood known as a major commercial and cultural hub that includes landmarks like the Obelisco and the city’s main theater district.
  • E. San Nicolás
    San Nicolás is a commonly used shortened name for San Nicolás de los Garza, a major suburban city in the Monterrey metropolitan area of Nuevo León, Mexico.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a20df608190992543b4d7006f8a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046ec5108190a0294cc86e1b60cc completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.