Triple

T6171114
Position Surface form Disambiguated ID Type / Status
Subject Philo E137697 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Navarro E169471 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: Navarro | Statement: [Philo, hasNearbyCommunity, Navarro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navarro
Context triple: [Philo, hasNearbyCommunity, Navarro]
  • A. Navarro
    Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
  • B. Navarrete
    Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
  • C. Autlán de Navarro chosen
    Autlán de Navarro is a municipality and city in the Mexican state of Jalisco, known for its agricultural economy and traditional cultural festivities.
  • D. Cavazos
    Cavazos is the surname of American singer-songwriter Julia Michaels, whose full birth name is Julia Carin Cavazos.
  • E. Navojoa
    Navojoa is a city in the southern part of the state of Sonora, Mexico, known as an agricultural and commercial center in the Mayo River valley.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d910c3c8190ae6af548259295ff completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141ad559881909076b6ab34b14f2b completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:18 p.m.