Triple

T1276324
Position Surface form Disambiguated ID Type / Status
Subject Guanajay E27220 entity
Predicate locatedIn P40 FINISHED
Object Artemisa Province E25420 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: Artemisa Province | Statement: [Guanajay, locatedIn, Artemisa Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artemisa Province
Context triple: [Guanajay, locatedIn, Artemisa Province]
  • A. Artemisa Province chosen
    Artemisa Province is an administrative region in western Cuba created in 2011 as part of a territorial reorganization of the former La Habana Province.
  • B. 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.
  • C. Mayabeque Province
    Mayabeque Province is a region in western Cuba created in 2011 when the former La Habana Province was split into two new provinces.
  • D. Granma Province
    Granma Province is an administrative region in southeastern Cuba known for its historical significance in the Cuban Revolution and its capital city, Bayamo.
  • E. 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.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c08ef32c8190a493c8215946e5dd completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae26d7583c8190b84127ad2e5ca4c1 completed March 9, 2026, 1:48 a.m.
Created at: March 1, 2026, 7:50 p.m.