Triple

T7343702
Position Surface form Disambiguated ID Type / Status
Subject Bejucal municipality E169321 entity
Predicate locatedIn P40 FINISHED
Object Mayabeque Province E25671 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: Mayabeque Province | Statement: [Bejucal municipality, locatedIn, Mayabeque Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayabeque Province
Context triple: [Bejucal municipality, locatedIn, Mayabeque Province]
  • A. Mayabeque Province chosen
    Mayabeque Province is a region in western Cuba created in 2011 when the former La Habana Province was split into two new provinces.
  • B. Artemisa Province
    Artemisa Province is an administrative region in western Cuba created in 2011 as part of a territorial reorganization of the former La Habana Province.
  • C. Holguín Province
    Holguín Province is a region in eastern Cuba known for its historic towns, sugarcane agriculture, and coastal tourism areas.
  • D. 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.
  • E. 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.”
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0ed78908190a169f094cb3f62f0 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ccec1cb5d48190ac9f6ad5920403f1 completed April 1, 2026, 9:57 a.m.
Created at: March 27, 2026, 3:04 p.m.