Triple

T8524014
Position Surface form Disambiguated ID Type / Status
Subject Mayabeque River E201765 entity
Predicate givesNameTo P63 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: [Mayabeque River, givesNameTo, Mayabeque Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayabeque Province
Context triple: [Mayabeque River, givesNameTo, 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64362c88190b978a2544eec6e3e completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc53555c8190b910b3220bd701b4 completed April 2, 2026, 8:06 p.m.
Created at: March 30, 2026, 6:16 p.m.