Triple
T23468785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Polytechnic Ado-Ekiti |
E569168
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ado-Ekiti |
—
|
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: Ado-Ekiti | Statement: [Federal Polytechnic Ado-Ekiti, locatedIn, Ado-Ekiti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ado-Ekiti Context triple: [Federal Polytechnic Ado-Ekiti, 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.
Oye-Ekiti
Oye-Ekiti is a town in Ekiti State, southwestern Nigeria, known as an educational hub and administrative center in the region.
-
C.
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.
-
D.
Ilorin
Ilorin is a major city in western Nigeria and the capital of Kwara State, known as a historic Yoruba and Islamic cultural center.
-
E.
Oshodi
Oshodi is a densely populated commercial and transport hub in Lagos, Nigeria, known for its bustling markets and major bus terminals.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.