Triple
T12795663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yewa |
E305882
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Egbado |
E1027236
|
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: Egbado | Statement: [Yewa, formerName, Egbado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egbado Context triple: [Yewa, formerName, Egbado]
-
A.
Ayegunle
Ayegunle is a village in southwestern Nigeria known as one of the communities where the Ukaan language is traditionally spoken.
-
B.
Elegbá
Elegbá is a powerful Yoruba and Afro-Caribbean orisha known as the divine messenger and guardian of crossroads, communication, and destiny.
-
C.
Owode
chosen
Owode is a significant town within the Ado-Odo/Ota local government area of Ogun State in southwestern Nigeria.
-
D.
Ado-Ekiti
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.
-
E.
Abeokuta
Abeokuta is a major city in southwestern Nigeria known as the historic homeland of the Egba people and for its distinctive rocky landscape, including the famous Olumo Rock.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b05474bc8190a42e2a9540055c47 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:30 p.m.