Triple

T13721860
Position Surface form Disambiguated ID Type / Status
Subject Southern Spain E329055 entity
Predicate hasCoast P212 FINISHED
Object Costa Cálida E360074 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 Cálida | Statement: [Southern Spain, hasCoast, Costa Cálida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa Cálida
Context triple: [Southern Spain, hasCoast, Costa Cálida]
  • A. Costa Cálida chosen
    Costa Cálida is a popular coastal region in southeastern Spain known for its warm climate, sandy beaches, and seaside resorts along the Mediterranean.
  • B. Costa Calma
    Costa Calma is a popular seaside resort town on the south coast of Fuerteventura in Spain’s Canary Islands, known for its long sandy beaches and windsurfing conditions.
  • C. Costa
    Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Costa
    Costa is a Chilean wine-producing subregion within the Cachapoal Valley, known for its coastal influence that shapes the style and character of its wines.
  • E. Costa
    Costa is the low-lying, tropical coastal region of Ecuador known for its beaches, port cities, and agricultural production.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5e1ecc8190a9fec550a99702c0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.