Triple
T22953282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egba people |
E570080
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Egba |
—
|
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: Egba | Statement: [Egba people, ethnonym, Egba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egba Context triple: [Egba people, ethnonym, Egba]
-
A.
Egba
chosen
Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
-
B.
Ewu
Ewu is a historic Esan town and traditional kingdom in Edo State, southern Nigeria, known for its cultural heritage and local monarchy.
-
C.
Egba Gbagura
Egba Gbagura is one of the major subgroups of the Egba people, a Yoruba ethnic group historically centered around the Abeokuta area in southwestern Nigeria.
-
D.
Kugbo
Kugbo is a lesser-known Niger-Congo language spoken by a small community in Nigeria.
-
E.
Ogbia
Ogbia is a local government area in Bayelsa State, Nigeria, known for its oil-rich communities and as the birthplace of former Nigerian President Goodluck Jonathan.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a34c30819099ff4812500a0991 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.