Triple
T16958375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolokuma Ijo |
E411362
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kolokuma Ịjọ |
E411362
|
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: Kolokuma Ịjọ | Statement: [Kolokuma Ijo, hasAlternativeName, Kolokuma Ịjọ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolokuma Ịjọ Context triple: [Kolokuma Ijo, hasAlternativeName, Kolokuma Ịjọ]
-
A.
Kolokuma Ijo
chosen
Kolokuma Ijo is a major Ijoid language spoken primarily in the Niger Delta region of Nigeria, serving as an important linguistic and cultural standard for the Ijo people.
-
B.
Kugbo
Kugbo is a lesser-known Niger-Congo language spoken by a small community in Nigeria.
-
C.
Okoloba
Okoloba is a small riverside community in Kolokuma/Opokuma Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
-
D.
Ekwulobia
Ekwulobia is a prominent commercial town and one of the major urban centers in southeastern Nigeria.
-
E.
Odogbolu
Odogbolu is a town and local government area in Ogun State, southwestern Nigeria, historically under the traditional authority of the Awujale of Ijebu.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01e420881909be1d93d7d6772fd |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d468f5048190aa43b212ec7a7306 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.