Triple

T22253465
Position Surface form Disambiguated ID Type / Status
Subject Kimvita dialect E550037 entity
Predicate hasAlternativeName P39 FINISHED
Object Mvita dialect 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: Mvita dialect | Statement: [Kimvita dialect, hasAlternativeName, Mvita dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mvita dialect
Context triple: [Kimvita dialect, hasAlternativeName, Mvita dialect]
  • A. Mwimbi dialect
    The Mwimbi dialect is a regional variety of the Bantu Meru language spoken by the Mwimbi people in eastern Kenya.
  • B. Mbanderu dialect
    The Mbanderu dialect is a regional variety of the Herero language spoken primarily by the Mbanderu people of Namibia and neighboring areas.
  • C. Oshikwanyama dialect
    The Oshikwanyama dialect is a standardized variety of the Ovambo (Oshiwambo) language spoken primarily in northern Namibia and southern Angola.
  • D. Unguja dialect chosen
    The Unguja dialect is a major variety of Swahili spoken on Zanzibar’s main island, often considered a key reference form of the language and influential in the development of Standard Swahili.
  • E. Kingwana dialect
    The Kingwana dialect is a regional variety of Swahili spoken primarily in the Democratic Republic of the Congo and neighboring areas, known for its distinctive vocabulary and phonological features.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c0c4f48190a75473a7835014f1 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.