Triple
T11877945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Uyo |
E282579
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Uyo |
E87285
|
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: Uyo | Statement: [University of Uyo, city, Uyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uyo Context triple: [University of Uyo, city, Uyo]
-
A.
Uyo
chosen
Uyo is the capital city of Akwa Ibom State in southeastern Nigeria, known as an administrative, commercial, and cultural center in the region.
-
B.
Ekpoma
Ekpoma is a prominent town in southern Nigeria known for hosting Ambrose Alli University and serving as an important educational and commercial center in Edo State.
-
C.
Abakaliki
Abakaliki is a major city in southeastern Nigeria known as an administrative, commercial, and agricultural hub.
-
D.
Nkawkaw
Nkawkaw is a major commercial town and transport hub in southern Ghana, located along the Accra–Kumasi highway at the base of the Kwahu Plateau.
-
E.
Auchi
Auchi is a prominent town in southern Nigeria known as a commercial and educational hub within Edo State.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43fd661f481909b1f7609540e42d7 |
completed | May 1, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.