Triple

T12066601
Position Surface form Disambiguated ID Type / Status
Subject Juana E287311 entity
Predicate usedInCountry P715 FINISHED
Object Honduras E15390 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: Honduras | Statement: [Juana, usedInCountry, Honduras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honduras
Context triple: [Juana, usedInCountry, Honduras]
  • A. Honduras chosen
    Honduras is a Central American country known for its mountainous terrain, Caribbean and Pacific coastlines, and rich Mayan and colonial heritage.
  • B. 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.
  • C. El Salvador
    El Salvador is a coastal municipality in the Philippines located along Macajalar Bay in the province of Misamis Oriental.
  • D. Nicaragua
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • E. 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.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6366adc8190b5c8163af684afde completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:48 p.m.