Triple

T4097377
Position Surface form Disambiguated ID Type / Status
Subject Juigalpa E87854 entity
Predicate capitalOf P204 FINISHED
Object Chontales Department E421501 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: Chontales Department | Statement: [Juigalpa, capitalOf, Chontales Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chontales Department
Context triple: [Juigalpa, capitalOf, Chontales Department]
  • A. Chontales Department chosen
    Chontales Department is an administrative region in central Nicaragua known for its cattle ranching, agricultural production, and proximity to Lake Nicaragua.
  • B. Chinandega Department
    Chinandega Department is a northwestern region of Nicaragua known for its agricultural production, Pacific coastline, and proximity to major lakes and volcanoes.
  • C. Tinogasta Department
    Tinogasta Department is an administrative division in Catamarca Province, Argentina, known for its arid landscapes, wine production, and Andean cultural heritage.
  • D. La Banda Department
    La Banda Department is an administrative division in northern Argentina known for encompassing the city of La Banda within Santiago del Estero Province.
  • E. Pando Department
    Pando Department is a sparsely populated, rainforest-covered region in northern Bolivia known for its Amazonian biodiversity and remote location.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefce017708190a4d33753fd32a7bb completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5a4f75481909236504eaf81ce33 completed March 14, 2026, 11:56 p.m.
Created at: March 9, 2026, 3:40 p.m.