Triple

T7267314
Position Surface form Disambiguated ID Type / Status
Subject Holguín Province E161008 entity
Predicate hasMunicipality P847 FINISHED
Object Holguín Municipality E60150 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: Holguín Municipality | Statement: [Holguín Province, hasMunicipality, Holguín Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holguín Municipality
Context triple: [Holguín Province, hasMunicipality, Holguín Municipality]
  • A. Holguín Province
    Holguín Province is a region in eastern Cuba known for its historic towns, sugarcane agriculture, and coastal tourism areas.
  • B. Villa Clara
    Villa Clara is a prominent Cuban baseball team known for its strong performances and rich history in the Cuban National Series.
  • C. 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.
  • D. San Juan de la Maguana
    San Juan de la Maguana is a historic city in the western Dominican Republic known as a regional agricultural center and gateway to the country’s central mountain range.
  • E. Holguín, Cuba chosen
    Holguín, Cuba is a major city in eastern Cuba known for its historic plazas, nearby beaches, and role as an important cultural and economic center in the region.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae7b2108190a6910f6655669db5 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c988df1e4c8190a46c971a3f9b2d49 completed March 29, 2026, 8:17 p.m.
Created at: March 27, 2026, 2:58 p.m.