Triple

T5569665
Position Surface form Disambiguated ID Type / Status
Subject Granada Province E145966 entity
Predicate contains P35 FINISHED
Object Costa Tropical E362630 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: Costa Tropical | Statement: [Granada Province, contains, Costa Tropical]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa Tropical
Context triple: [Granada Province, contains, Costa Tropical]
  • A. Costa Tropical chosen
    Costa Tropical is a coastal region in the province of Granada in southern Spain, known for its subtropical climate, beaches, and agricultural production of tropical fruits.
  • B. La Costeña
    La Costeña is a Nicaraguan regional airline that operates domestic flights connecting Managua with various destinations across the country.
  • C. Costa Cálida
    Costa Cálida is a popular coastal region in southeastern Spain known for its warm climate, sandy beaches, and seaside resorts along the Mediterranean.
  • D. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • E. Nuquí
    Nuquí is a remote coastal town and municipality on Colombia’s Pacific coast, known for its rich biodiversity, Afro-Colombian and Indigenous cultures, and ecotourism activities such as whale watching and surfing.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0204f0d288190b9d4884665ba9116 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0284bb71881908c0ac4ea2a302327 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:36 p.m.