Triple

T23437753
Position Surface form Disambiguated ID Type / Status
Subject Kyabobo National Park E563510 entity
Predicate partOf P40 FINISHED
Object Ghana 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: Ghana protected areas network | Statement: [Kyabobo National Park, partOf, Ghana protected areas network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ghana protected areas network
Context triple: [Kyabobo National Park, partOf, Ghana 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. Cameroon protected areas network
    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.
  • C. 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.
  • D. South African protected areas network
    The South African protected areas network is a nationwide system of parks, reserves, and conservation areas established to safeguard the country’s biodiversity, ecosystems, and natural heritage.
  • E. 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.
  • 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: Ghana protected areas network
Target entity description: The Ghana protected areas network is a system of national parks, reserves, and other conserved landscapes established to protect Ghana’s biodiversity and natural heritage.
  • 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. Cameroon protected areas network
    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.
  • C. 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.
  • D. South African protected areas network
    The South African protected areas network is a nationwide system of parks, reserves, and conservation areas established to safeguard the country’s biodiversity, ecosystems, and natural heritage.
  • E. 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.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dda7448190b6c686e0db4f4f2f completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.