Triple
T12111931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egba Ijebu |
E288451
|
entity |
| Predicate | hasCulturalInfluenceFrom |
P2008
|
FINISHED |
| Object | Ijebu region |
E969409
|
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: Ijebu region | Statement: [Egba Ijebu, hasCulturalInfluenceFrom, Ijebu region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ijebu region Context triple: [Egba Ijebu, hasCulturalInfluenceFrom, Ijebu region]
-
A.
Ijebu area
chosen
The Ijebu area is a historic Yoruba region in southwestern Nigeria known for its rich cultural heritage, traditional institutions, and role in precolonial trade.
-
B.
Ibarapa region
The Ibarapa region is a predominantly agrarian area in southwestern Nigeria, known for its Yoruba communities and towns such as Eruwa.
-
C.
Ijebu East
Ijebu East is a local government area in Ogun State, southwestern Nigeria, that forms part of the traditional Ijebu kingdom.
-
D.
Ijebu North
Ijebu North is a local government area in Ogun State, southwestern Nigeria, that forms part of the traditional Ijebu kingdom under the Awujale’s influence.
-
E.
Ijebu Ijesa
Ijebu Ijesa is a prominent town in Osun State, southwestern Nigeria, historically associated with the Ijesha people and known as a local commercial and cultural center.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156709288190b4684cb19037dc38 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e46d588819086bfde1b544cab82 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:49 p.m.