Triple

T11053223
Position Surface form Disambiguated ID Type / Status
Subject Motswana E261308 entity
Predicate culturalRegion P1968 FINISHED
Object Kalahari Basin E70367 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: Kalahari Basin | Statement: [Motswana, culturalRegion, Kalahari Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalahari Basin
Context triple: [Motswana, culturalRegion, Kalahari Basin]
  • A. Kalahari Basin chosen
    The Kalahari Basin is a large inland drainage basin in southern Africa that encompasses and gives rise to the arid Kalahari Desert and surrounding semi-arid regions.
  • B. Kalahari Desert
    The Kalahari Desert is a vast semi-arid sandy savanna in southern Africa known for its red dunes, sparse vegetation, and unique wildlife adapted to its dry conditions.
  • C. Karoo
    The Karoo is a vast semi-arid region in South Africa characterized by sparse vegetation, unique succulent flora, and extreme temperature variations.
  • D. Banda Basin
    The Banda Basin is a deep oceanic basin in eastern Indonesia, known for its complex tectonic setting and very deep waters within the Banda Sea region.
  • E. Athi-Kaputiei plains
    The Athi-Kaputiei plains are a wildlife-rich savanna landscape in southern Kenya, known for supporting migratory routes and dispersal areas for animals moving to and from Nairobi National Park.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986d49e0819096c9e96b2ea1b38b completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa1c2d9c8190959e28ccef4e0f6d completed April 18, 2026, 3:58 p.m.
Created at: April 8, 2026, 9:26 p.m.