Triple

T1558430
Position Surface form Disambiguated ID Type / Status
Subject Old Havana E33262 entity
Predicate locatedIn P40 FINISHED
Object Havana Province E3724 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 Province | Statement: [Old Havana, locatedIn, Havana Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havana Province
Context triple: [Old Havana, locatedIn, Havana Province]
  • A. La Habana Province chosen
    La Habana Province is an administrative region in western Cuba that surrounds but does not include the city of Havana, encompassing several suburban and rural municipalities.
  • B. Santiago de Cuba Province
    Santiago de Cuba Province is a southeastern Cuban province known for its historic role in the Cuban Revolution, vibrant Afro-Cuban culture, and the major port city of Santiago de Cuba.
  • C. Villa Clara Province
    Villa Clara Province is a central Cuban province known for its historic city of Santa Clara and its role in the Cuban Revolution.
  • D. Matanzas Province
    Matanzas Province is a region in western Cuba known for its coastal resorts, notably Varadero, and its cultural heritage as the “Athens of Cuba.”
  • E. Pinar del Río Province
    Pinar del Río Province is the westernmost province of Cuba, known for its lush landscapes and world-famous tobacco plantations in the Viñales Valley.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69af173cc94c8190a351334e7645cc0c completed March 9, 2026, 6:53 p.m.
Created at: March 4, 2026, 7:27 p.m.