Triple

T21863910
Position Surface form Disambiguated ID Type / Status
Subject Festival del Caribe E539834 entity
Predicate hostCountryCapital P8146 FINISHED
Object Havana 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: Havana | Statement: [Festival del Caribe, hostCountryCapital, Havana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havana
Context triple: [Festival del Caribe, hostCountryCapital, Havana]
  • A. Havana
    Havana is the capital and largest city of Cuba, known for its historic architecture, vibrant culture, and central role in the nation’s political and economic life.
  • B. Havana
    Havana is the vibrant capital city of Cuba, renowned for its historic architecture, rich Afro-Cuban culture, and lively music and nightlife.
  • C. Havana chosen
    Havana is the capital and largest city of Cuba, renowned for its historic architecture, vibrant culture, and significant political and economic role in the country.
  • D. Havana
    "Havana" is a Latin-influenced pop song by Cuban-American singer Camila Cabello that became an international hit and one of her signature tracks.
  • E. Habana
    Habana is the surname of Bryan Habana, the renowned South African rugby union winger considered one of the greatest try-scorers in the sport’s history.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63d927c8190bcfccc140357484c completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.