Triple

T199707
Position Surface form Disambiguated ID Type / Status
Subject Parliament of Zimbabwe E4074 entity
Predicate languageUsed P238 FINISHED
Object Shona
Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
 E28785 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: Shona | Statement: [Parliament of Zimbabwe, languageUsed, Shona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shona
Context triple: [Parliament of Zimbabwe, languageUsed, Shona]
  • A. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • B. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • C. Southern Ndebele
    Southern Ndebele is a Bantu language spoken primarily in South Africa, known for its distinctive click sounds and cultural association with the Ndebele people.
  • D. 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.
  • E. Northern Ndebele
    Northern Ndebele is a Bantu language of the Nguni group spoken primarily in southwestern Zimbabwe and closely related to Zulu.
  • 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: Shona
Triple: [Parliament of Zimbabwe, languageUsed, Shona]
Generated description
Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shona
Target entity description: Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
  • A. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • B. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • C. Southern Ndebele
    Southern Ndebele is a Bantu language spoken primarily in South Africa, known for its distinctive click sounds and cultural association with the Ndebele people.
  • D. 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.
  • E. Northern Ndebele
    Northern Ndebele is a Bantu language of the Nguni group spoken primarily in southwestern Zimbabwe and closely related to Zulu.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bcc6dc88190b8c24b485588dfe4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a352734730819091211462a23204ea completed Feb. 28, 2026, 8:39 p.m.
NEDg Description generation batch_69a355f97db8819080665fa585955380 completed Feb. 28, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69a3567126dc81909853cb7dab5609c1 completed Feb. 28, 2026, 8:56 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.