Triple

T10796636
Position Surface form Disambiguated ID Type / Status
Subject Uduk language E254723 entity
Predicate alternativeName P39 FINISHED
Object Kwanim Pa
Kwanim Pa is an alternative name for the Uduk language, a Nilo-Saharan language spoken by the Uduk people of eastern Sudan and western Ethiopia.
E885614 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: Kwanim Pa | Statement: [Uduk language, alternativeName, Kwanim Pa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwanim Pa
Context triple: [Uduk language, alternativeName, Kwanim Pa]
  • A. Kaneshie
    Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
  • B. Nanumba
    The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
  • C. Kobina
    Kobina is a Ghanaian given name commonly used for males born on a Tuesday.
  • D. Kete Krachi
    Kete Krachi is a town in the Oti Region of Ghana that serves as an important lakeside community and transport hub on the shores of Lake Volta.
  • E. Konjo
    Konjo is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia.
  • 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: Kwanim Pa
Triple: [Uduk language, alternativeName, Kwanim Pa]
Generated description
Kwanim Pa is an alternative name for the Uduk language, a Nilo-Saharan language spoken by the Uduk people of eastern Sudan and western Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kwanim Pa
Target entity description: Kwanim Pa is an alternative name for the Uduk language, a Nilo-Saharan language spoken by the Uduk people of eastern Sudan and western Ethiopia.
  • A. Kaneshie
    Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
  • B. Nanumba
    The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
  • C. Kobina
    Kobina is a Ghanaian given name commonly used for males born on a Tuesday.
  • D. Kete Krachi
    Kete Krachi is a town in the Oti Region of Ghana that serves as an important lakeside community and transport hub on the shores of Lake Volta.
  • E. Konjo
    Konjo is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73332dbfc8190904434846957b618 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de566352608190ab15e3a4b690c9a5 completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.