Triple

T8565814
Position Surface form Disambiguated ID Type / Status
Subject Nubian languages E202798 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Kenuzi
Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
 E742992 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: Kenuzi | Statement: [Nubian languages, hasMemberLanguage, Kenuzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenuzi
Context triple: [Nubian languages, hasMemberLanguage, Kenuzi]
  • A. Káⁿza
    Káⁿza is the endonym for the Kansa (Kaw) language, a Siouan language traditionally spoken by the Kansa people of the central United States.
  • B. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • C. Zuchu
    Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
  • D. Kazaure
    Kazaure is a prominent town and traditional emirate in northern Nigeria, known as one of the key urban centers of Jigawa State.
  • E. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • 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: Kenuzi
Triple: [Nubian languages, hasMemberLanguage, Kenuzi]
Generated description
Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenuzi
Target entity description: Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
  • A. Káⁿza
    Káⁿza is the endonym for the Kansa (Kaw) language, a Siouan language traditionally spoken by the Kansa people of the central United States.
  • B. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • C. Zuchu
    Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
  • D. Kazaure
    Kazaure is a prominent town and traditional emirate in northern Nigeria, known as one of the key urban centers of Jigawa State.
  • E. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89677888819091dfda14ce6baef3 completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8c10d774819086437ffeeb1ef25d completed April 2, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d0064fc819095058293e4229f25 completed April 2, 2026, 3:36 p.m.
Created at: March 30, 2026, 6:20 p.m.