Triple

T199609
Position Surface form Disambiguated ID Type / Status
Subject Northern Ndebele E4072 entity
Predicate alsoKnownAs P39 FINISHED
Object Ndebele E4072 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: Ndebele | Statement: [Northern Ndebele, alsoKnownAs, Ndebele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ndebele
Context triple: [Northern Ndebele, alsoKnownAs, Ndebele]
  • A. Northern Ndebele chosen
    Northern Ndebele is a Bantu language of the Nguni group spoken primarily in southwestern Zimbabwe and closely related to Zulu.
  • B. Southern Ndebele
    Southern Ndebele is a Bantu language spoken primarily in South Africa, known for its distinctive click sounds and cultural association with the Ndebele people.
  • C. Southern Bantu
    Southern Bantu is a major branch of the Bantu language family comprising numerous closely related languages spoken primarily in the southern regions of Africa.
  • D. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • E. Zulu
    Zulu is a Bantu language of the Nguni group spoken primarily in South Africa and widely influential in the country’s culture and other local languages.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bcc6dc88190b8c24b485588dfe4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a338e6c2bc81908fbc7402770ab35b completed Feb. 28, 2026, 6:50 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.