Triple

T22951286
Position Surface form Disambiguated ID Type / Status
Subject Yao language E570024 entity
Predicate subfamily P4180 FINISHED
Object Nyasa languages 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: Nyasa languages | Statement: [Yao language, subfamily, Nyasa languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyasa languages
Context triple: [Yao language, subfamily, Nyasa languages]
  • A. Sena–Nyanja languages chosen
    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.
  • B. Luhya languages
    The Luhya languages are a closely related group of Bantu languages spoken primarily by the Luhya people in western Kenya.
  • C. Sabaki languages
    The Sabaki languages are a subgroup of Bantu languages spoken along the East African coast and nearby regions, including well-known varieties such as Swahili.
  • D. Kwango-Kwilu languages
    The Kwango-Kwilu languages are a subgroup of Bantu languages spoken primarily in the Kwango and Kwilu river regions of the Democratic Republic of the Congo and neighboring areas.
  • E. Ngemba languages
    The Ngemba languages are a group of closely related Bantoid languages spoken primarily in the Grassfields region of Cameroon.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a285448190a718734fe933d51a completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.