Triple

T16665216
Position Surface form Disambiguated ID Type / Status
Subject Western Nicaragua E404965 entity
Predicate contains P35 FINISHED
Object Carazo E495012 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: Carazo | Statement: [Western Nicaragua, contains, Carazo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carazo
Context triple: [Western Nicaragua, contains, Carazo]
  • A. Carazo chosen
    Carazo is a department in southwestern Nicaragua known for its agricultural production and proximity to the Pacific coast.
  • B. Intibucá
    Intibucá is a highland city in western Honduras known for its cool climate, indigenous Lenca heritage, and agricultural production, especially potatoes and vegetables.
  • C. Choloma
    Choloma is a rapidly growing industrial city in northern Honduras known for its large concentration of maquiladora factories and manufacturing activity.
  • D. Ocotepeque
    Ocotepeque is a city in western Honduras near the borders with El Salvador and Guatemala, serving as a regional commercial and transportation hub.
  • E. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9be0688190afda306cde934c68 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a32988c8190a671a4cbd829047a completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.