Triple

T14107573
Position Surface form Disambiguated ID Type / Status
Subject United States occupation of Nicaragua E339545 entity
Predicate location P40 FINISHED
Object Nicaragua E16448 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: Nicaragua | Statement: [United States occupation of Nicaragua, location, Nicaragua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicaragua
Context triple: [United States occupation of Nicaragua, location, Nicaragua]
  • A. Nicaragua chosen
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • B. Honduras
    Honduras is a Central American country known for its mountainous terrain, Caribbean and Pacific coastlines, and rich Mayan and colonial heritage.
  • C. El Salvador
    El Salvador is a coastal municipality in the Philippines located along Macajalar Bay in the province of Misamis Oriental.
  • D. El Salvador
    El Salvador is a Central American country known for being the smallest and most densely populated nation in the region, with a history of civil conflict and a recent push toward economic modernization and cryptocurrency adoption.
  • E. Costa Rica
    Costa Rica is a Central American country renowned for its political stability, rich biodiversity, and strong environmental conservation efforts.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3243360c819084a524af2e452863 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:22 p.m.