Triple
T12963273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enugu North |
E321199
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | City of Enugu |
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: City of Enugu | Statement: [Enugu North, partOf, City of Enugu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Enugu Context triple: [Enugu North, partOf, City of Enugu]
-
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.
Ogwashi-Ukwu Urban
Ogwashi-Ukwu Urban is a town and local urban center in Aniocha South Local Government Area of Delta State, Nigeria.
-
C.
Owerri
Owerri is the capital and largest city of Imo State in southeastern Nigeria, known as a regional cultural and commercial center.
-
D.
Nkwerre
Nkwerre is a town and local government area in southeastern Nigeria known for its location within Imo State and its cultural and commercial activities.
-
E.
Nnewi
Nnewi is a major commercial and industrial city in southeastern Nigeria, renowned for its vibrant automotive parts manufacturing and 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_69fcb63f006c8190997c0f3cdc6efd6c |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 9, 2026, 8:24 p.m.