Triple
T23360615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fon of Oku |
E593172
|
entity |
| Predicate | rules |
P6601
|
FINISHED |
| Object | Oku |
—
|
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: Oku | Statement: [Fon of Oku, rules, Oku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oku Context triple: [Fon of Oku, rules, Oku]
-
A.
Oku
chosen
Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
-
B.
Okuku
Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
-
C.
Oga
Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
-
D.
Okalik
Okalik is an Inuktitut surname most notably borne by Paul Okalik, the first Premier of Nunavut in Canada.
-
E.
Okonedo
Okonedo is the surname of Sophie Okonedo, a British actress known for her acclaimed performances in film, television, and theatre.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0a730f8819088fec53a43b063f8 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:30 p.m.