Triple

T22691334
Position Surface form Disambiguated ID Type / Status
Subject Cuba national football team E561057 entity
Predicate homeCity P263 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: [Cuba national football team, homeCity, Havana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havana
Context triple: [Cuba national football team, homeCity, Havana]
  • A. Havana chosen
    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
    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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.