Triple

T23476713
Position Surface form Disambiguated ID Type / Status
Subject Lozi language E570282 entity
Predicate closelyRelatedTo P37 FINISHED
Object Sesotho 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: Sesotho | Statement: [Lozi language, closelyRelatedTo, Sesotho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sesotho
Context triple: [Lozi language, closelyRelatedTo, Sesotho]
  • A. Sesotho chosen
    Sesotho is a Southern Bantu language spoken primarily in Lesotho and South Africa, where it holds official status and serves as a major medium of communication and cultural identity.
  • B. Setswana
    Setswana is a Bantu language spoken primarily in Botswana and parts of South Africa, known for being one of the region’s major indigenous languages.
  • C. Northern Sotho (Sepedi)
    Northern Sotho (Sepedi) is a Bantu language of South Africa, recognized as one of the country’s official languages and widely spoken in the northern regions, especially in Limpopo and parts of Gauteng.
  • D. Siswati
    Siswati is a Bantu language of the Nguni group spoken primarily in Eswatini and South Africa, where it holds official status.
  • E. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74cf57081909d2b90a806d68c08 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:01 p.m.