Triple

T16836839
Position Surface form Disambiguated ID Type / Status
Subject Stutterheim E409303 entity
Predicate nationalOfficialLanguage P17042 FINISHED
Object Siswati
Siswati is a Bantu language of the Nguni group spoken primarily in Eswatini and South Africa, where it holds official status.
E1242385 NE FINISHED

How this triple was built (4 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: Siswati | Statement: [Stutterheim, nationalOfficialLanguage, Siswati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siswati
Context triple: [Stutterheim, nationalOfficialLanguage, Siswati]
  • A. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • B. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • C. Xhosa
    Xhosa is a Bantu language of South Africa, known for its distinctive click consonants and as one of the country’s major official languages.
  • D. 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.
  • E. Sesotho
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Siswati
Triple: [Stutterheim, nationalOfficialLanguage, Siswati]
Generated description
Siswati is a Bantu language of the Nguni group spoken primarily in Eswatini and South Africa, where it holds official status.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siswati
Target entity description: Siswati is a Bantu language of the Nguni group spoken primarily in Eswatini and South Africa, where it holds official status.
  • A. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • B. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • C. Xhosa
    Xhosa is a Bantu language of South Africa, known for its distinctive click consonants and as one of the country’s major official languages.
  • D. 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.
  • E. Sesotho
    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.
  • F. None of above. chosen

Provenance (5 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34e080c8190bf7a236205b41db2 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d452505c8190b6d37b54b2f665f0 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d4f1bfa48190903bedc43ed6db75 completed May 10, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a00d59b96108190a0e55f01529a0b64 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:23 a.m.