Triple

T15941528
Position Surface form Disambiguated ID Type / Status
Subject Larecaja Province E386574 entity
Predicate borderedBy P224 FINISHED
Object Beni Department E124822 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: Beni Department | Statement: [Larecaja Province, borderedBy, Beni Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beni Department
Context triple: [Larecaja Province, borderedBy, Beni Department]
  • A. Beni Department chosen
    Beni Department is a large, sparsely populated administrative region in northern Bolivia known for its vast Amazonian lowlands, wetlands, and cattle ranching.
  • B. Lopé Department
    Lopé Department is an administrative division in central Gabon known for encompassing parts of the ecologically rich Lopé National Park.
  • C. Cuvette Department
    Cuvette Department is an administrative region in the northern part of the Republic of the Congo, known for its forests, rivers, and role as the birthplace of several prominent Congolese figures.
  • D. Borgou Department
    Borgou Department is an administrative region in northeastern Benin known for its diverse ethnic communities, agriculture-based economy, and the major city of Parakou.
  • E. Sud Department
    Sud Department is an administrative region in southern Haiti known for its coastal cities, beaches, and agricultural activities.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ce0230819089a20114a755a75a completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5bbc07c819098fd768e2e6b5b3e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.