Triple

T2268301
Position Surface form Disambiguated ID Type / Status
Subject Villa Clara E50598 entity
Predicate homeProvince P604 FINISHED
Object Villa Clara Province E235578 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: Villa Clara Province | Statement: [Villa Clara, homeProvince, Villa Clara Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa Clara Province
Context triple: [Villa Clara, homeProvince, Villa Clara Province]
  • A. Villa Clara Province chosen
    Villa Clara Province is a central Cuban province known for its historic city of Santa Clara and its role in the Cuban Revolution.
  • B. Villa Clara
    Villa Clara is a prominent Cuban baseball team known for its strong performances and rich history in the Cuban National Series.
  • C. 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.
  • D. La Habana Province
    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.
  • E. Holguín Province
    Holguín Province is a region in eastern Cuba known for its historic towns, sugarcane agriculture, and coastal tourism areas.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bbb49c8190822c7d809375e879 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf2c245c8190a426cfcdc929efeb completed March 10, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:48 p.m.