Triple

T5679821
Position Surface form Disambiguated ID Type / Status
Subject sot E125172 entity
Predicate represents P129 FINISHED
Object Sesotho E23974 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: Sesotho | Statement: [sot, represents, Sesotho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sesotho
Context triple: [sot, represents, 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. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • E. Sotho
    Sotho is a Bantu language of Southern Africa, primarily spoken in Lesotho and South Africa, where it serves as one of the country’s official 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023960ecc819080a97a37be80c01f completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dc5d8b08190b4646853f68beb62 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:44 p.m.