Triple
T13558594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akoko |
E323843
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Akoko South-West |
E1051366
|
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: Akoko South-West | Statement: [Akoko, hasSubgroup, Akoko South-West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akoko South-West Context triple: [Akoko, hasSubgroup, Akoko South-West]
-
A.
Akoko South
chosen
Akoko South is a local government area in Ondo State, southwestern Nigeria, forming part of the larger Akoko region.
-
B.
Akoko North-West
Akoko North-West is a local government area in Ondo State, southwestern Nigeria, known for its predominantly Yoruba (Akoko) communities and agrarian economy.
-
C.
Akoko North
Akoko North is a local government area in Ondo State, southwestern Nigeria, known for being one of the primary regions where the Akoko languages are spoken.
-
D.
Akoko North-East
Akoko North-East is a local government area in Ondo State, Nigeria, forming part of the larger Akoko region.
-
E.
Akoko region
The Akoko region is an area in southwestern Nigeria known for its cluster of closely related Akoko communities and their distinct languages and cultural traditions.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a838581c819092a195f60673b743 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:47 p.m.