Triple

T2140855
Position Surface form Disambiguated ID Type / Status
Subject Hmong E46755 entity
Predicate spokenIn P2266 FINISHED
Object French Guiana E29075 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: French Guiana | Statement: [Hmong, spokenIn, French Guiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Guiana
Context triple: [Hmong, spokenIn, French Guiana]
  • A. French Guiana chosen
    French Guiana is a sparsely populated territory on the northeastern coast of South America known for its Amazonian rainforest and the European spaceport at Kourou.
  • B. French Guinea
    French Guinea was a former French colonial territory in West Africa that later became the independent nation of Guinea.
  • C. Guadeloupe
    Guadeloupe is a Caribbean archipelago that forms an overseas region and department of France, known for its blend of French and Creole culture, volcanic landscapes, and beaches.
  • D. Guianas
    The Guianas is a region on the northeastern coast of South America comprising Guyana, Suriname, French Guiana, and sometimes adjacent areas, known for its dense rainforests and cultural diversity.
  • E. Martinique
    Martinique is a Caribbean island and French overseas region known for its blend of French and Creole culture, volcanic landscapes, and beaches.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe04135c8190ab100b4b3879cb01 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b37ce08190add9df46cc17ba89 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.