Triple

T9978691
Position Surface form Disambiguated ID Type / Status
Subject Kunegunda E196395 entity
Predicate hasVariant P455 FINISHED
Object Kingunda
Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
 E834065 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: Kingunda | Statement: [Kunegunda, hasVariant, Kingunda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kingunda
Context triple: [Kunegunda, hasVariant, Kingunda]
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • C. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Nyanda
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • E. Kenuzi
    Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
  • 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: Kingunda
Triple: [Kunegunda, hasVariant, Kingunda]
Generated description
Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kingunda
Target entity description: Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
  • A. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • C. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Nyanda
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • E. Kenuzi
    Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb850bde48190a06b77757f8c081b completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257d3fc308190b82b3731139d15cb completed April 5, 2026, 12:38 p.m.
NEDg Description generation batch_69d258b6d9c0819096dbd3e85dc6adfc completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d25981db3c8190b7b4935cdcc1fe1c completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:49 p.m.