Triple
T12963285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enugu North |
E321199
|
entity |
| Predicate | isUrbanCoreOf |
P54981
|
FINISHED |
| Object | Enugu metropolis |
E82541
|
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: Enugu metropolis | Statement: [Enugu North, isUrbanCoreOf, Enugu metropolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enugu metropolis Context triple: [Enugu North, isUrbanCoreOf, Enugu metropolis]
-
A.
Enugu
chosen
Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
-
B.
Owerri
Owerri is the capital and largest city of Imo State in southeastern Nigeria, known as a regional cultural and commercial center.
-
C.
Ogwashi-Ukwu Urban
Ogwashi-Ukwu Urban is a town and local urban center in Aniocha South Local Government Area of Delta State, Nigeria.
-
D.
Nnewi
Nnewi is a major commercial and industrial city in southeastern Nigeria, renowned for its vibrant automotive parts manufacturing and trade.
-
E.
Onitsha
Onitsha is a major commercial and river port city on the eastern bank of the Niger River in southeastern Nigeria, known for its large open-air market and vibrant trade.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e2f5e448190b56e74602c43358d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd084d94081909ae911fce5640aaf |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 9, 2026, 8:24 p.m.