Triple

T7822935
Position Surface form Disambiguated ID Type / Status
Subject Granma Province E181175 entity
Predicate hasMunicipality P847 FINISHED
Object Bayamo E130090 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: Bayamo | Statement: [Granma Province, hasMunicipality, Bayamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayamo
Context triple: [Granma Province, hasMunicipality, Bayamo]
  • A. Bayamo chosen
    Bayamo is one of Cuba’s oldest colonial cities, historically significant as an early Spanish settlement and a center of Cuban independence sentiment.
  • B. Jarabacoa
    Jarabacoa is a mountainous town in the Dominican Republic known for its cool climate, rivers, and outdoor adventure tourism.
  • C. Aguas Buenas
    Aguas Buenas is a mountainous municipality in central Puerto Rico known for its cool climate, caves, and scenic rural landscapes.
  • 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. Guanabacoa
    Guanabacoa is a historic municipality of Havana, Cuba, known for its colonial heritage and strong Afro-Cuban religious and cultural traditions.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55e579e081909f5036dd33d64e38 completed March 31, 2026, 11:16 p.m.
Created at: March 30, 2026, 4:42 p.m.