Triple

T17116906
Position Surface form Disambiguated ID Type / Status
Subject Guanacaste Province E415361 entity
Predicate hasTouristDestination P6629 FINISHED
Object Tamarindo E1243589 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: Tamarindo | Statement: [Guanacaste Province, hasTouristDestination, Tamarindo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamarindo
Context triple: [Guanacaste Province, hasTouristDestination, Tamarindo]
  • A. Tamarindo
    Tamarindo is a neighborhood within Havana’s Diez de Octubre municipality, known as a densely populated urban residential area in Cuba’s capital.
  • B. Tamarindo chosen
    Tamarindo is a popular beach town on Costa Rica’s Pacific coast known for its surfing, nightlife, and laid-back tourist atmosphere.
  • C. San Blas
    San Blas is the Spanish name for Saint Blaise, a Christian bishop and martyr venerated as a patron saint of throat ailments.
  • D. San Blas
    San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
  • E. San Blas
    San Blas is a Madrid Metro station serving the San Blas-Canillejas district in the east of Madrid, Spain.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80660048190832d8f91415dd7d7 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0b69108190ba3ba6ba7f8d3935 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.