Triple

T14547332
Position Surface form Disambiguated ID Type / Status
Subject Fina García Marruz E341322 entity
Predicate birthPlace P1 FINISHED
Object Havana E396 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: Havana | Statement: [Fina García Marruz, birthPlace, Havana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havana
Context triple: [Fina García Marruz, birthPlace, Havana]
  • A. 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.
  • B. 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.
  • C. Habana
    "Habana" is a Latin jazz album by American trumpeter Roy Hargrove, blending Afro-Cuban rhythms with contemporary jazz.
  • D. Havana, Cuba chosen
    Havana, Cuba is the capital and largest city of Cuba, renowned for its historic architecture, vibrant culture, and significant political and economic role in the Caribbean.
  • E. Santiago de Cuba
    Santiago de Cuba is a major city in southeastern Cuba known for its rich Afro-Cuban cultural heritage, historic role in the Cuban Revolution, and vibrant music and carnival traditions.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ebdf9481909f4d2da1ad31099c completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94afc95c8190ae4aff12c9d69c88 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.