Triple

T16491714
Position Surface form Disambiguated ID Type / Status
Subject Lokono E400583 entity
Predicate traditionalRegion P1968 FINISHED
Object Guianas E35510 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: Guianas | Statement: [Lokono, traditionalRegion, Guianas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guianas
Context triple: [Lokono, traditionalRegion, Guianas]
  • A. Guianas chosen
    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.
  • B. Guayana Region
    The Guayana Region is a vast, sparsely populated area in southeastern Venezuela known for its dense rainforests, tepui plateaus, and major river systems including those feeding Angel Falls.
  • C. Roraima
    Roraima is Brazil’s northernmost state, known for its vast Amazonian landscapes, sparse population, and the iconic Mount Roraima plateau on its border with Venezuela and Guyana.
  • D. Amazonas Region
    Amazonas Region is a mountainous and forested administrative region in northern Peru known for its cloud forests, archaeological sites like Kuélap, and rich indigenous cultures.
  • E. Amazonia
    Amazonia is an immersive exhibit at the Smithsonian’s National Zoo that recreates the biodiversity and environment of the Amazon rainforest, featuring its distinctive plants, animals, and aquatic life.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e300a248190a3d4ca96a0a176cf completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058266b8c8190adc0974025553783 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.