Triple
T13953590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekiti State University |
E335596
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ado Ekiti |
E136071
|
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: Ado Ekiti | Statement: [Ekiti State University, locatedIn, Ado Ekiti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ado Ekiti Context triple: [Ekiti State University, locatedIn, Ado Ekiti]
-
A.
Ado-Ekiti
chosen
Ado-Ekiti is the capital and largest city of Ekiti State in southwestern Nigeria, known as an administrative, educational, and commercial center for the surrounding region.
-
B.
Ekiti
Ekiti are a subgroup of the Yoruba people of southwestern Nigeria, known for their distinct dialect, rich cultural traditions, and strong emphasis on education.
-
C.
Eti-Osa
Eti-Osa is a prominent local government area in Lagos State, Nigeria, encompassing key commercial and upscale residential districts such as Victoria Island and Lekki.
-
D.
Ilesa
Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
-
E.
Ayegunle
Ayegunle is a village in southwestern Nigeria known as one of the communities where the Ukaan language is traditionally spoken.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c229f448190b7ea1a1bf9d086cf |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 9, 2026, 10:17 p.m.