Triple

T19221010
Position Surface form Disambiguated ID Type / Status
Subject Roraima E480611 entity
Predicate hasProtectedArea P855 FINISHED
Object Roraima National Forest NE NERFINISHED

How this triple was built (3 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: Roraima National Forest | Statement: [Roraima, hasProtectedArea, Roraima National Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roraima National Forest
Context triple: [Roraima, hasProtectedArea, Roraima National Forest]
  • A. Tapajós National Forest
    Tapajós National Forest is a vast Amazonian protected area in Brazil known for its rich biodiversity, tropical rainforest ecosystems, and role in sustainable forest management and conservation.
  • B. Araripe National Forest
    Araripe National Forest is a federally protected conservation area in northeastern Brazil known for its unique biodiversity, including endemic species and important Atlantic Forest and Caatinga ecosystems.
  • C. Amapá National Forest
    Amapá National Forest is a federally protected tropical rainforest area in the Brazilian state of Amapá, designated for sustainable use, conservation of biodiversity, and scientific research.
  • D. Monte Roraima National Park
    Monte Roraima National Park is a protected area in northern Brazil that conserves the dramatic tabletop mountain of Mount Roraima and its unique tepui ecosystems along the borders with Venezuela and Guyana.
  • E. Chiquibul Forest Reserve
    Chiquibul Forest Reserve is a vast protected rainforest area in western Belize known for its rich biodiversity, extensive cave systems, and role in conserving the Maya Mountains ecosystem.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roraima National Forest
Target entity description: Roraima National Forest is a federally protected Amazonian rainforest area in the Brazilian state of Roraima, designated for sustainable use, conservation of biodiversity, and scientific research.
  • A. Tapajós National Forest
    Tapajós National Forest is a vast Amazonian protected area in Brazil known for its rich biodiversity, tropical rainforest ecosystems, and role in sustainable forest management and conservation.
  • B. Araripe National Forest
    Araripe National Forest is a federally protected conservation area in northeastern Brazil known for its unique biodiversity, including endemic species and important Atlantic Forest and Caatinga ecosystems.
  • C. Amapá National Forest
    Amapá National Forest is a federally protected tropical rainforest area in the Brazilian state of Amapá, designated for sustainable use, conservation of biodiversity, and scientific research.
  • D. Monte Roraima National Park
    Monte Roraima National Park is a protected area in northern Brazil that conserves the dramatic tabletop mountain of Mount Roraima and its unique tepui ecosystems along the borders with Venezuela and Guyana.
  • E. Chiquibul Forest Reserve
    Chiquibul Forest Reserve is a vast protected rainforest area in western Belize known for its rich biodiversity, extensive cave systems, and role in conserving the Maya Mountains ecosystem.
  • F. None of above. chosen

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3fa9348190920f9d41b8beb900 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.