Triple

T22261342
Position Surface form Disambiguated ID Type / Status
Subject Museo Provincial de Bayamo E550232 entity
Predicate locatedIn P40 FINISHED
Object Granma Province 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: Granma Province | Statement: [Museo Provincial de Bayamo, locatedIn, Granma Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granma Province
Context triple: [Museo Provincial de Bayamo, locatedIn, Granma Province]
  • A. Granma Province chosen
    Granma Province is an administrative region in southeastern Cuba known for its historical significance in the Cuban Revolution and its capital city, Bayamo.
  • B. Azua Province
    Azua Province is a region in the Dominican Republic known for its diverse landscapes, including parts of the high-altitude Valle Nuevo National Park.
  • C. Ayabaca Province
    Ayabaca Province is an administrative province in northern Peru known for its Andean highlands, rural communities, and location within the Piura Region.
  • D. Julcán Province
    Julcán Province is an administrative province located in the Andean highlands of northern Peru.
  • E. Jauja Province
    Jauja Province is an Andean province in Peru’s Junín Region, known for its highland landscapes, colonial history, and proximity to protected natural areas such as the Nor Yauyos-Cochas Landscape Reserve.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b703b081909a2b432463a8e2df completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.