Triple

T16337390
Position Surface form Disambiguated ID Type / Status
Subject Southern Cuba E396711 entity
Predicate contains P35 FINISHED
Object Granma Province E181175 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: Granma Province | Statement: [Southern Cuba, contains, Granma Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granma Province
Context triple: [Southern Cuba, contains, Granma Province]
  • A. Granma Province chosen
    Granma Province is an administrative region in southeastern Cuba known for its historical significance in the Cuban Revolution and its capital city, Bayamo.
  • B. Julcán Province
    Julcán Province is an administrative province located in the Andean highlands of northern Peru.
  • C. Jauja Province
    Jauja Province is an Andean province in Peru’s Junín Region, known for its highland landscapes, colonial history, and proximity to protected natural areas such as the Nor Yauyos-Cochas Landscape Reserve.
  • D. Atalaya Province
    Atalaya Province is an administrative province located within Peru's Amazonian Ucayali Region, known for its vast rainforest and indigenous communities.
  • E. Guavio Province
    Guavio Province is an administrative subdivision of Colombia’s Cundinamarca Department, known for its mountainous terrain, hydroelectric resources, and rural Andean communities.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e524448190870a6ef569017b56 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3f93348190b835218ae42f3463 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:07 a.m.