Triple

T17338064
Position Surface form Disambiguated ID Type / Status
Subject Cuesta de Moras, San José E420992 entity
Predicate partOf P40 FINISHED
Object San José canton NE NERFINISHED

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: San José canton | Statement: [Cuesta de Moras, San José, partOf, San José canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José canton
Context triple: [Cuesta de Moras, San José, partOf, San José canton]
  • A. San José canton chosen
    San José canton is the central administrative division that includes Costa Rica’s capital city, San José, and several surrounding districts.
  • B. Quevedo Canton
    Quevedo Canton is an administrative division in Ecuador’s Los Ríos Province, centered on the city of Quevedo and known for its agricultural production, especially bananas and cacao.
  • C. Alajuela Canton
    Alajuela Canton is an important administrative and urban center in Costa Rica, encompassing the city of Alajuela and surrounding areas known for agriculture and growing suburban development.
  • D. San Miguel Canton
    San Miguel Canton is an administrative subdivision in Ecuador’s Bolívar Province, centered on the town of San Miguel as its capital.
  • E. San Ramón Canton
    San Ramón Canton is an administrative division and municipality in Costa Rica known for its coffee production, cultural traditions, and location in the country’s Central Valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a13dd44819091d296c764976dfe completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:43 a.m.