Triple

T6028303
Position Surface form Disambiguated ID Type / Status
Subject Gaby Moreno E134234 entity
Predicate citizenship P2 FINISHED
Object Guatemala E14088 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: Guatemala | Statement: [Gaby Moreno, citizenship, Guatemala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guatemala
Context triple: [Gaby Moreno, citizenship, Guatemala]
  • A. Guatemala chosen
    Guatemala is a Central American country known for its Mayan heritage, volcanic landscapes, and vibrant indigenous cultures.
  • 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 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.
  • D. Belize
    Belize is a small Central American nation on the Caribbean coast known for its diverse cultures, English as its official language, and the Belize Barrier Reef, one of the largest coral reef systems in the world.
  • E. Nicaragua
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560e3c2c8190aea2619386fc5538 completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1411fbd448190be3c3b6a5942ef83 completed March 23, 2026, 1:33 p.m.
Created at: March 22, 2026, 4:07 p.m.