Triple

T12758959
Position Surface form Disambiguated ID Type / Status
Subject Khoe peoples E304937 entity
Predicate language P15 FINISHED
Object Gǀui language E271858 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: Gǀui language | Statement: [Khoe peoples, language, Gǀui language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gǀui language
Context triple: [Khoe peoples, language, Gǀui language]
  • A. Gǀui language chosen
    The Gǀui language is a Khoe-Kwadi (Khoe) language spoken by indigenous communities in parts of Botswana and Namibia, notable for its extensive use of click consonants.
  • B. Gudu language
    The Gudu language is a lesser-known Bantoid (Bena–Mboi) language spoken by a small ethnic community in northeastern Nigeria.
  • C. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • D. Gurene language
    The Gurene language is a Gur language spoken primarily by the Frafra people in northern Ghana and parts of Burkina Faso.
  • E. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.