Triple

T2455255
Position Surface form Disambiguated ID Type / Status
Subject South African E54404 entity
Predicate languageUsed P238 FINISHED
Object siSwati
siSwati is a Bantu language of the Nguni group spoken primarily by the Swazi people in Eswatini and parts of South Africa.
 E267830 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: [South African, languageUsed, siSwati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: siSwati
Context triple: [South African, languageUsed, siSwati]
  • A. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • B. Zulu
    Zulu is a Bantu language of the Nguni group spoken primarily in South Africa and widely influential in the country’s culture and other local languages.
  • C. Zulu
    Zulu is a 1964 British war film depicting the Battle of Rorke's Drift during the Anglo-Zulu War, noted for being one of Michael Caine's early breakthrough roles.
  • D. 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.
  • 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. 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: [South African, languageUsed, siSwati]
Generated description
siSwati is a Bantu language of the Nguni group spoken primarily by the Swazi people in Eswatini and parts of South Africa.
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 by the Swazi people in Eswatini and parts of South Africa.
  • A. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • B. Zulu
    Zulu is a Bantu language of the Nguni group spoken primarily in South Africa and widely influential in the country’s culture and other local languages.
  • C. Zulu
    Zulu is a 1964 British war film depicting the Battle of Rorke's Drift during the Anglo-Zulu War, noted for being one of Michael Caine's early breakthrough roles.
  • D. 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.
  • 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. 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd105054c819081286729749a347c completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c7c90c8190ba5ed3cece5e049f completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef5ca95dc8190b0f7f20d2128ae93 completed March 9, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_69aef632e2e08190b21023cbb0f12be8 completed March 9, 2026, 4:32 p.m.
Created at: March 6, 2026, 9:44 p.m.