Triple

T18227635
Position Surface form Disambiguated ID Type / Status
Subject President of Costa Rica E436459 entity
Predicate seat P75 FINISHED
Object San José — 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 | Statement: [President of Costa Rica, seat, San José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San José
Context triple: [President of Costa Rica, seat, San José]
  • A. San José
    San José was a Spanish warship famously captured by Admiral Horatio Nelson during a daring boarding action in the late 18th century.
  • B. San José
    San José is a small coastal village in Spain’s Cabo de Gata-Níjar Natural Park, known for its picturesque beaches, whitewashed houses, and role as a gateway to the park’s protected landscapes.
  • C. San José chosen
    San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
  • D. San José
    San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • E. San José
    San José is a station on the Buenos Aires Underground, part of the city’s rapid transit network in Argentina.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b0ed5c819096f4fd3a8debc1a4 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.