Triple
T6996244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avikam language |
E162221
|
entity |
| Predicate | belongsToBranch |
P4276
|
FINISHED |
| Object | Central Tano (Kwa) |
E302236
|
NE FINISHED |
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: Central Tano (Kwa) | Statement: [Avikam language, belongsToBranch, Central Tano (Kwa)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Tano (Kwa) Context triple: [Avikam language, belongsToBranch, Central Tano (Kwa)]
-
A.
Central Tano
chosen
Central Tano is a subgroup of the Niger-Congo language family that includes the Akan languages spoken primarily in Ghana and neighboring regions.
-
B.
Ntem
Ntem is a town located in the South Region of Cameroon.
-
C.
Wele-Nzas
Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
-
D.
Tongolo
"Tongolo" is the breakthrough Afrobeat single by Nigerian artist D'banj that helped launch his music career across Africa.
-
E.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbedafa48190af0d2b47e3a1e17e |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a1fa11481908450978acc1e0913 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:32 p.m.