Triple

T21588051
Position Surface form Disambiguated ID Type / Status
Subject Kisukuma language E532703 entity
Predicate hasDialect P4251 FINISHED
Object Nyamamba
Nyamamba is a regional dialect of the Kisukuma language spoken by communities in northwestern Tanzania.
 E1491057 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: Nyamamba | Statement: [Kisukuma language, hasDialect, Nyamamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nyamamba
Context triple: [Kisukuma language, hasDialect, Nyamamba]
  • A. Namutoni
    Namutoni is a historic former German fort turned tourist rest camp and lodge located on the eastern side of Etosha National Park in Namibia.
  • B. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • C. Mwenga
    Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
  • D. Kibembe
    Kibembe is a Bantu language spoken primarily by communities in and around the Uvira region of the eastern Democratic Republic of the Congo.
  • E. Mberengwa
    Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
  • 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: Nyamamba
Triple: [Kisukuma language, hasDialect, Nyamamba]
Generated description
Nyamamba is a regional dialect of the Kisukuma language spoken by communities in northwestern Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nyamamba
Target entity description: Nyamamba is a regional dialect of the Kisukuma language spoken by communities in northwestern Tanzania.
  • A. Namutoni
    Namutoni is a historic former German fort turned tourist rest camp and lodge located on the eastern side of Etosha National Park in Namibia.
  • B. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • C. Mwenga
    Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
  • D. Kibembe
    Kibembe is a Bantu language spoken primarily by communities in and around the Uvira region of the eastern Democratic Republic of the Congo.
  • E. Mberengwa
    Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb621ab88190a33a943424ffb306 completed April 27, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f67f08208190a1633fd2a28e2fa2 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f6fc3d7081909edf8cc575b6293e completed May 17, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09f79098e48190acdcad615098c55a completed May 17, 2026, 5:14 p.m.
Created at: April 16, 2026, 6:31 p.m.