Triple

T12617723
Position Surface form Disambiguated ID Type / Status
Subject Matawai E301296 entity
Predicate country P26 FINISHED
Object Suriname E32021 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: Suriname | Statement: [Matawai, country, Suriname]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suriname
Context triple: [Matawai, country, Suriname]
  • A. Suriname chosen
    Suriname is a small, ethnically diverse country on the northeastern coast of South America, known for its tropical rainforests, Dutch colonial heritage, and status as the continent’s only Dutch-speaking nation.
  • B. Ecuador
    Ecuador is a South American country on the Pacific coast, known for its diverse geography that includes part of the Amazon rainforest, the Andean highlands, and the Galápagos Islands.
  • C. East Berbice-Corentyne
    East Berbice-Corentyne is a large administrative region in eastern Guyana that includes coastal areas, riverine communities, and interior lands along the border with Suriname.
  • D. Güines
    Güines is a town and municipality in western Cuba known historically as an important agricultural and sugar-producing center southeast of Havana.
  • E. Venezuela
    Venezuela is a South American country known for its vast oil reserves, diverse landscapes ranging from Caribbean coastlines to Andean mountains and Amazon rainforest, and its Spanish-speaking population.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686d770881909850ffaf820171d9 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:13 p.m.