Triple
T13558611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akoko |
E323843
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object | Arigidi-Akoko |
E323843
|
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: Arigidi-Akoko | Statement: [Akoko, hasMajorSettlement, Arigidi-Akoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arigidi-Akoko Context triple: [Akoko, hasMajorSettlement, Arigidi-Akoko]
-
A.
Akoko
chosen
Akoko is a prominent Yoruba sub-ethnic group in southwestern Nigeria, primarily inhabiting the northeastern part of Ondo State and parts of neighboring states.
-
B.
Odogbolu
Odogbolu is a town and local government area in Ogun State, southwestern Nigeria, historically under the traditional authority of the Awujale of Ijebu.
-
C.
Issele-Azagba
Issele-Azagba is a town in Aniocha South Local Government Area of Delta State in southern Nigeria.
-
D.
Achagua-Achagua
Achagua-Achagua is an indigenous Arawakan language spoken by the Achagua people of Colombia and Venezuela.
-
E.
Akoka
Akoka is a neighborhood in Lagos, Nigeria, known for hosting parts of the University of Lagos and being situated within the Yaba area.
- 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_69f76bb1ef508190ab587bd2aa34795b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.