Triple

T23361106
Position Surface form Disambiguated ID Type / Status
Subject Banyang-Mbo Wildlife Sanctuary E593184 entity
Predicate partOf P40 FINISHED
Object Cameroon protected areas network 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: Cameroon protected areas network | Statement: [Banyang-Mbo Wildlife Sanctuary, partOf, Cameroon protected areas network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cameroon protected areas network
Context triple: [Banyang-Mbo Wildlife Sanctuary, partOf, Cameroon protected areas network]
  • A. West African protected area network
    The West African protected area network is a transboundary system of national parks, reserves, and conservation landscapes across West Africa designed to safeguard biodiversity, ecosystems, and migratory wildlife corridors.
  • B. Namibian protected areas network
    The Namibian protected areas network is a system of national parks, reserves, and conservation areas across Namibia established to safeguard the country’s unique wildlife, ecosystems, and landscapes.
  • C. Sumba conservation area network
    The Sumba conservation area network is a coordinated system of protected areas on Sumba Island in Indonesia, established to conserve the island’s unique dry forests, endemic wildlife, and cultural landscapes.
  • D. Mozambique protected areas network
    The Mozambique protected areas network is a system of national parks, reserves, and other conservation areas established to protect the country’s biodiversity and natural ecosystems.
  • E. Madagascar protected areas network
    The Madagascar protected areas network is a system of national parks, reserves, and other conservation sites established to safeguard the island’s unique and highly endemic biodiversity.
  • 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: Cameroon protected areas network
Target entity description: The Cameroon protected areas network is a system of national parks, wildlife sanctuaries, and other conservation zones established to preserve the country’s biodiversity and natural ecosystems.
  • A. West African protected area network
    The West African protected area network is a transboundary system of national parks, reserves, and conservation landscapes across West Africa designed to safeguard biodiversity, ecosystems, and migratory wildlife corridors.
  • B. Namibian protected areas network
    The Namibian protected areas network is a system of national parks, reserves, and conservation areas across Namibia established to safeguard the country’s unique wildlife, ecosystems, and landscapes.
  • C. Sumba conservation area network
    The Sumba conservation area network is a coordinated system of protected areas on Sumba Island in Indonesia, established to conserve the island’s unique dry forests, endemic wildlife, and cultural landscapes.
  • D. Mozambique protected areas network
    The Mozambique protected areas network is a system of national parks, reserves, and other conservation areas established to protect the country’s biodiversity and natural ecosystems.
  • E. Madagascar protected areas network
    The Madagascar protected areas network is a system of national parks, reserves, and other conservation sites established to safeguard the island’s unique and highly endemic biodiversity.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a730f8819088fec53a43b063f8 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.