Triple

T12384679
Position Surface form Disambiguated ID Type / Status
Subject Tanzania and Zambia E295831 entity
Predicate shareBiodiversityRegion P71295 FINISHED
Object Miombo woodlands E97439 NE FINISHED

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: Miombo woodlands | Statement: [Tanzania and Zambia, shareBiodiversityRegion, Miombo woodlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miombo woodlands
Context triple: [Tanzania and Zambia, shareBiodiversityRegion, Miombo woodlands]
  • A. Miombo woodlands chosen
    Miombo woodlands are a vast tropical dry forest and savanna ecosystem in south-central Africa, dominated by Brachystegia, Julbernardia, and Isoberlinia tree species and supporting rich biodiversity and rural livelihoods.
  • B. Zambezian Baikiaea woodlands
    The Zambezian Baikiaea woodlands are a tropical dry forest and woodland ecoregion in south-central Africa, characterized by extensive stands of Baikiaea plurijuga (Zambezi teak) and a rich diversity of wildlife.
  • C. Guinean forest–savanna mosaic
    The Guinean forest–savanna mosaic is a broad West and Central African ecoregion characterized by a patchwork of tropical forests and savannas that forms a transitional zone between dense rainforest and open grassland.
  • D. Western Congolian forest–savanna mosaic
    The Western Congolian forest–savanna mosaic is a tropical ecoregion in Central Africa characterized by an intricate patchwork of forests and savannas that supports high biodiversity and serves as a transition zone between dense rainforest and open grasslands.
  • E. Sudan savanna
    The Sudan savanna is a broad belt of tropical grassland with scattered trees stretching across central Africa between the Sahel to the north and the wetter forest zones to the south.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareBiodiversityRegion
Context triple: [Tanzania and Zambia, shareBiodiversityRegion, Miombo woodlands]
  • A. shareBiodiversityFeature chosen
    Indicates that two or more entities have a biodiversity-related characteristic, attribute, or feature in common.
  • B. biodiversityHotspot
    Indicates a location or region that supports exceptionally high levels of biodiversity, often with many endemic or threatened species, and is therefore considered a conservation priority.
  • C. biodiversityStatus
    Indicates the current condition or level of biological diversity associated with an entity, often in terms of richness, health, or conservation concern.
  • D. hasBiodiversityFeature
    Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
  • E. biogeographicZone
    Indicates the biogeographic region or ecological zone in which an entity (such as a species or habitat) naturally occurs or is distributed.
  • F. None of above.

Provenance (4 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac78c5c81909fb3d63bc6c9cc01 completed May 2, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69d93ed256788190b704cad171a4824e completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.