Triple
T11303185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasem language |
E267646
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Kasena
Kasena is a Gur language spoken primarily by the Kasena people in northern Ghana and southern Burkina Faso.
|
E916967
|
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: Kasena | Statement: [Kasem language, alternateName, Kasena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasena Context triple: [Kasem language, alternateName, Kasena]
-
A.
Lusinda
Lusinda is a feminine given name, typically considered a variant spelling of Lucinda.
-
B.
Selous
Selous is a small town in Zimbabwe located within Mashonaland West Province, known primarily as a stopover point along the route between Harare and the country’s western regions.
-
C.
Muhoroni
Muhoroni is a town in western Kenya known for its sugar industry and location in the former Nyando District of Kisumu County.
-
D.
Chiredzi
Chiredzi is a town in southeastern Zimbabwe known as a center for sugarcane farming and a gateway to nearby wildlife and conservation areas.
-
E.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
- 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: Kasena Triple: [Kasem language, alternateName, Kasena]
Generated description
Kasena is a Gur language spoken primarily by the Kasena people in northern Ghana and southern Burkina Faso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasena Target entity description: Kasena is a Gur language spoken primarily by the Kasena people in northern Ghana and southern Burkina Faso.
-
A.
Lusinda
Lusinda is a feminine given name, typically considered a variant spelling of Lucinda.
-
B.
Selous
Selous is a small town in Zimbabwe located within Mashonaland West Province, known primarily as a stopover point along the route between Harare and the country’s western regions.
-
C.
Muhoroni
Muhoroni is a town in western Kenya known for its sugar industry and location in the former Nyando District of Kisumu County.
-
D.
Chiredzi
Chiredzi is a town in southeastern Zimbabwe known as a center for sugarcane farming and a gateway to nearby wildlife and conservation areas.
-
E.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
- 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.