Triple

T10483301
Position Surface form Disambiguated ID Type / Status
Subject Sabaot E247225 entity
Predicate hasDialects P4251 FINISHED
Object Kony
Kony is a dialect of the Sabaot language spoken by the Sabaot people of western Kenya and nearby regions.
 E865578 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: Kony | Statement: [Sabaot, hasDialects, Kony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kony
Context triple: [Sabaot, hasDialects, Kony]
  • A. Kony
    Kony is a critically acclaimed 1984 Bengali film directed by Saroj Dey, known for its inspiring story of a young swimmer’s struggle against social and economic adversity.
  • B. Ghadamès
    Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
  • C. Krahn
    The Krahn are an ethnic group of the Liberia–Côte d’Ivoire region, known for their distinct Kru-related language and significant role in Liberia’s political and social history.
  • D. Sere Kunda
    Sere Kunda is the largest urban center and commercial hub of The Gambia, located near the capital city of Banjul.
  • E. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • 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: Kony
Triple: [Sabaot, hasDialects, Kony]
Generated description
Kony is a dialect of the Sabaot language spoken by the Sabaot people of western Kenya and nearby regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kony
Target entity description: Kony is a dialect of the Sabaot language spoken by the Sabaot people of western Kenya and nearby regions.
  • A. Kony
    Kony is a critically acclaimed 1984 Bengali film directed by Saroj Dey, known for its inspiring story of a young swimmer’s struggle against social and economic adversity.
  • B. Ghadamès
    Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
  • C. Krahn
    The Krahn are an ethnic group of the Liberia–Côte d’Ivoire region, known for their distinct Kru-related language and significant role in Liberia’s political and social history.
  • D. Sere Kunda
    Sere Kunda is the largest urban center and commercial hub of The Gambia, located near the capital city of Banjul.
  • E. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509678ac88190984f18a2162e2dcf completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03c647c81909521fee4a66ec8ac completed April 10, 2026, 7:01 a.m.
NEDg Description generation batch_69d8a45e5a108190ba8e6ba4af858b19 completed April 10, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69d8a890c6b081908e57cc74f18d788b completed April 10, 2026, 7:36 a.m.
Created at: April 6, 2026, 12:22 p.m.