Triple

T5614522
Position Surface form Disambiguated ID Type / Status
Subject Ndau E147443 entity
Predicate subfamilyOf P1244 FINISHED
Object Shona language cluster E28785 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: Shona language cluster | Statement: [Ndau, subfamilyOf, Shona language cluster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shona language cluster
Context triple: [Ndau, subfamilyOf, Shona language cluster]
  • A. Shona chosen
    Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
  • B. Tswa–Ronga languages
    The Tswa–Ronga languages are a closely related group of Bantu languages spoken primarily in southern Africa, including varieties such as Tsonga and Ronga.
  • C. Southern Bantu languages
    Southern Bantu languages are a major branch of the Bantu language family spoken primarily in southern Africa, including well-known languages such as Zulu, Xhosa, and Shona.
  • D. Nguni languages
    The Nguni languages are a group of closely related Bantu languages of southern Africa that include major tongues such as Zulu, Xhosa, Swati, and Ndebele.
  • E. Sena–Nyanja languages
    The Sena–Nyanja languages are a group of closely related Bantu languages spoken primarily in parts of Malawi, Mozambique, and neighboring regions of southeastern Africa.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02123fa9081909086c9cce3f3e907 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d51c12c8190911fb9a0c0d234d8 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:39 p.m.