Triple

T11302960
Position Surface form Disambiguated ID Type / Status
Subject Kusaal language E267640 entity
Predicate ethnicGroup P194 FINISHED
Object Kusaasi
The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
 E916956 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: Kusaasi | Statement: [Kusaal language, ethnicGroup, Kusaasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kusaasi
Context triple: [Kusaal language, ethnicGroup, Kusaasi]
  • A. Kambaata
    Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
  • B. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • C. Kingunda
    Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
  • D. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • E. Masego
    Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
  • 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: Kusaasi
Triple: [Kusaal language, ethnicGroup, Kusaasi]
Generated description
The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kusaasi
Target entity description: The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
  • A. Kambaata
    Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
  • B. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • C. Kingunda
    Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
  • D. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • E. Masego
    Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a57366081908a05fc52c5d4074c completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510f9edb4819097e9fa1ce85504ed completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.