Triple
T10777205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aniocha South |
E254228
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ogwashi-Ukwu Urban
Ogwashi-Ukwu Urban is a town and local urban center in Aniocha South Local Government Area of Delta State, Nigeria.
|
E884096
|
NE FINISHED |
How this triple was built (4 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: Ogwashi-Ukwu Urban | Statement: [Aniocha South, hasSettlement, Ogwashi-Ukwu Urban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogwashi-Ukwu Urban Context triple: [Aniocha South, hasSettlement, Ogwashi-Ukwu Urban]
-
A.
Agbani
Agbani is a town in southeastern Nigeria known as an educational and administrative hub within Enugu State.
-
B.
Enugu
Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ogwashi-Ukwu Urban Triple: [Aniocha South, hasSettlement, Ogwashi-Ukwu Urban]
Generated description
Ogwashi-Ukwu Urban is a town and local urban center in Aniocha South Local Government Area of Delta State, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ogwashi-Ukwu Urban Target entity description: Ogwashi-Ukwu Urban is a town and local urban center in Aniocha South Local Government Area of Delta State, Nigeria.
-
A.
Agbani
Agbani is a town in southeastern Nigeria known as an educational and administrative hub within Enugu State.
-
B.
Enugu
Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
-
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. chosen
Provenance (5 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238ff88881908676d38dca041cb4 |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de2720635c8190a9f75f40414884e2 |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cee8e0c8190a5f40308e02433c0 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:16 p.m.