Triple
T22521837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akure North |
E556799
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Akure Division |
—
|
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: Akure Division | Statement: [Akure North, partOf, Akure Division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akure Division Context triple: [Akure North, partOf, Akure Division]
-
A.
Akure Division
chosen
Akure Division is an administrative area in Ondo State, Nigeria, encompassing Akure and its surrounding local government jurisdictions.
-
B.
Akure South
Akure South is a local government area in Ondo State, Nigeria, that encompasses much of the urban and administrative core of the city of Akure.
-
C.
Akure North
Akure North is a local government area in Ondo State, southwestern Nigeria, that administers the communities surrounding the city of Akure.
-
D.
Guldara District
Guldara District is an administrative district in Afghanistan located within Kabul Province, known for its rural communities and mountainous terrain.
-
E.
Hadeland
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e32b8a88190ac335d4298dd5ee3 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.