Triple

T1242032
Position Surface form Disambiguated ID Type / Status
Subject Matanzas Province E26677 entity
Predicate bordersProvince P224 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: [Matanzas Province, bordersProvince, Mayabeque Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayabeque Province
Context triple: [Matanzas Province, bordersProvince, 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. 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf44ac3c8190a28a333b320305fd completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f319788190ac9a634803154832 completed March 8, 2026, 11:14 p.m.
Created at: March 1, 2026, 7:47 p.m.