Triple
T13705865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebira |
E328638
|
entity |
| Predicate | notableTown |
P14082
|
FINISHED |
| Object | Okene |
E1054932
|
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: Okene | Statement: [Ebira, notableTown, Okene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okene Context triple: [Ebira, notableTown, Okene]
-
A.
Okene
chosen
Okene is a major commercial and cultural town in central Nigeria, known for its Ebira-speaking population and strategic location within Kogi State.
-
B.
Owan
Owan is an ethnic group in southern Nigeria, primarily inhabiting parts of Edo State and known for its distinct language and cultural traditions.
-
C.
Ikenne
Ikenne is a prominent town in Ogun State, southwestern Nigeria, known as part of the Remo region and for its historical and cultural significance.
-
D.
Owo
Owo is a prominent Yoruba sub-group in southwestern Nigeria, known for its rich cultural heritage, traditional art, and historical kingdom centered in present-day Ondo State.
-
E.
Oke-Ore
Oke-Ore is a notable town within the Ado-Odo/Ota local government area of Ogun State in southwestern Nigeria.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.