Triple

T1261095
Position Surface form Disambiguated ID Type / Status
Subject Alejo Carpentier E12501 entity
Predicate placeOfBirth P1 FINISHED
Object La Habana 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: La Habana | Statement: [Alejo Carpentier, placeOfBirth, La Habana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Habana
Context triple: [Alejo Carpentier, placeOfBirth, La Habana]
  • A. 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.
  • B. 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.
  • C. Habana Vieja
    Habana Vieja is the historic old quarter of Havana, Cuba, renowned for its colonial architecture, cobblestone streets, and vibrant cultural life.
  • D. Cienfuegos
    Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
  • E. Centro Habana
    Centro Habana is a densely populated central district of Havana, Cuba, known for its historic architecture, vibrant street life, and proximity to many of the city’s major cultural landmarks.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc64e648190b9c4f980eb8168aa completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde0ccff4819092948c249e0cb39b completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:50 p.m.