Triple

T3982593
Position Surface form Disambiguated ID Type / Status
Subject Khoe-Kwadi E86793 entity
Predicate languageBranch P1967 FINISHED
Object Kwadi
Kwadi is an extinct and poorly documented language of southwestern Angola, thought to be related to the Khoe languages within the proposed Khoe-Kwadi family.
 E403350 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: Kwadi | Statement: [Khoe-Kwadi, languageBranch, Kwadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kwadi
Context triple: [Khoe-Kwadi, languageBranch, Kwadi]
  • A. Kwekwe
    Kwekwe is an industrial and mining city in central Zimbabwe known for its steel production and gold mining activities.
  • B. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • C. Kwando
    Kwando is a river in southern Africa that flows through Angola, Namibia, and Botswana, forming part of the region’s complex wetland and river system.
  • D. Ndungane
    Ndungane is a surname most notably associated with South African Anglican archbishop and social justice advocate Njongonkulu Ndungane.
  • E. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • 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: Kwadi
Triple: [Khoe-Kwadi, languageBranch, Kwadi]
Generated description
Kwadi is an extinct and poorly documented language of southwestern Angola, thought to be related to the Khoe languages within the proposed Khoe-Kwadi family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kwadi
Target entity description: Kwadi is an extinct and poorly documented language of southwestern Angola, thought to be related to the Khoe languages within the proposed Khoe-Kwadi family.
  • A. Kwekwe
    Kwekwe is an industrial and mining city in central Zimbabwe known for its steel production and gold mining activities.
  • B. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • C. Kwando
    Kwando is a river in southern Africa that flows through Angola, Namibia, and Botswana, forming part of the region’s complex wetland and river system.
  • D. Ndungane
    Ndungane is a surname most notably associated with South African Anglican archbishop and social justice advocate Njongonkulu Ndungane.
  • E. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dd351c81909605bc2605f541e1 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540257c188190899b00bf1d0247d2 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b54111e5188190ab8ec23124c22981 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b54193105c81909e2a4e368aae36e8 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:33 p.m.