Triple

T22944755
Position Surface form Disambiguated ID Type / Status
Subject José García E569833 entity
Predicate isCommonInCountry P3248 FINISHED
Object Nicaragua NE NERFINISHED

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: [José García, isCommonInCountry, Nicaragua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicaragua
Context triple: [José García, isCommonInCountry, Nicaragua]
  • A. Nicaragua chosen
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • B. Nicarao
    The Nicarao were a Nahua-speaking indigenous people who inhabited western Nicaragua prior to Spanish colonization, culturally related to other Mesoamerican groups such as the Pipil.
  • C. Honduras
    Honduras is a Central American country known for its mountainous terrain, Caribbean and Pacific coastlines, and rich Mayan and colonial heritage.
  • D. El Salvador
    El Salvador is a coastal municipality in the Philippines located along Macajalar Bay in the province of Misamis Oriental.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819c696c8190977bd2bca01509bc completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:45 p.m.