Triple

T21824920
Position Surface form Disambiguated ID Type / Status
Subject Taa E538823 entity
Predicate neighboringLanguages P16383 FINISHED
Object Gǁana NE NERFINISHED

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: Gǁana | Statement: [Taa, neighboringLanguages, Gǁana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gǁana
Context triple: [Taa, neighboringLanguages, Gǁana]
  • A. Gǁana chosen
    Gǁana is a Khoe-Kwadi (Khoe) language spoken by a small community of indigenous people in Botswana.
  • B. Assosa
    Assosa is a town in western Ethiopia that serves as the administrative and economic center of the Benishangul-Gumuz Region near the Sudanese border.
  • C. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • D. Namaqua
    Namaqua is an alternate name for the Nama people, an Indigenous Khoikhoi ethnic group primarily inhabiting parts of Namibia, Botswana, and South Africa.
  • E. Vosloo
    Vosloo is a South African surname most notably associated with actor Arnold Vosloo, known for his roles in films such as "The Mummy."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f091307d408190a92b65c3f39682a8 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.