Triple

T18129221
Position Surface form Disambiguated ID Type / Status
Subject Departamento de Managua E433964 entity
Predicate borderedBy P224 FINISHED
Object Departamento de Boaco NE NERFINISHED

How this triple was built (3 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: Departamento de Boaco | Statement: [Departamento de Managua, borderedBy, Departamento de Boaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Departamento de Boaco
Context triple: [Departamento de Managua, borderedBy, Departamento de Boaco]
  • A. Departamento de Vichada
    Departamento de Vichada is a sparsely populated department in eastern Colombia, characterized by vast plains, tropical forests, and significant Indigenous communities along the Orinoco River basin.
  • B. Departamento de Boyacá
    Departamento de Boyacá is a mountainous department in central Colombia known for its colonial towns, rich cultural heritage, and significant role in the country’s independence history.
  • C. Departamento de Caldas
    Departamento de Caldas is a department in west-central Colombia known for its mountainous terrain and significant role in the country's coffee-growing region.
  • D. Santa Bárbara Department
    Santa Bárbara Department is an administrative region in western Honduras known for its mountainous terrain, coffee production, and proximity to the Guatemalan border.
  • E. Cabañas Department
    Cabañas Department is an administrative region in central El Salvador known for its agricultural economy, small rural communities, and role in the country’s mining and environmental debates.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Departamento de Boaco
Target entity description: Departamento de Boaco is a largely rural department in central Nicaragua known for its cattle ranching, hilly terrain, and small agricultural towns.
  • A. Departamento de Vichada
    Departamento de Vichada is a sparsely populated department in eastern Colombia, characterized by vast plains, tropical forests, and significant Indigenous communities along the Orinoco River basin.
  • B. Departamento de Boyacá
    Departamento de Boyacá is a mountainous department in central Colombia known for its colonial towns, rich cultural heritage, and significant role in the country’s independence history.
  • C. Departamento de Caldas
    Departamento de Caldas is a department in west-central Colombia known for its mountainous terrain and significant role in the country's coffee-growing region.
  • D. Santa Bárbara Department
    Santa Bárbara Department is an administrative region in western Honduras known for its mountainous terrain, coffee production, and proximity to the Guatemalan border.
  • E. Cabañas Department
    Cabañas Department is an administrative region in central El Salvador known for its agricultural economy, small rural communities, and role in the country’s mining and environmental debates.
  • F. None of above. chosen

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf11a74819094e8fe8dae4615bb completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.