Triple
T21418249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frafra |
E528361
|
entity |
| Predicate | neighboringEthnicGroups |
P11274
|
FINISHED |
| Object | Kasena |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Frafra, neighboringEthnicGroups, Kasena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasena Context triple: [Frafra, neighboringEthnicGroups, Kasena]
-
A.
Kasena
chosen
Kasena is a Gur language spoken primarily by the Kasena people in northern Ghana and southern Burkina Faso.
-
B.
Lusinda
Lusinda is a feminine given name, typically considered a variant spelling of Lucinda.
-
C.
Mankwe
Mankwe is a locality in South Africa, historically part of the former Bophuthatswana homeland in the North West Province.
-
D.
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.
-
E.
Sioma
Sioma is a small town in western Zambia known as a gateway to the scenic Ngonye Falls on the Zambezi River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d29f948190b820c92014d1c53a |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:46 p.m.