Triple

T11469296
Position Surface form Disambiguated ID Type / Status
Subject Gǀui language E271858 entity
Predicate linguisticArea P17400 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: [Gǀui language, linguisticArea, Kalahari Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalahari Basin
Context triple: [Gǀui language, linguisticArea, 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e94ea4748190b375e644b2f1a46c completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.