Triple
T14050823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okpokwu |
E338083
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ugbokolo
Ugbokolo is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as a local commercial and educational center in the region.
|
E1082992
|
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: Ugbokolo | Statement: [Okpokwu, hasSettlement, Ugbokolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ugbokolo Context triple: [Okpokwu, hasSettlement, Ugbokolo]
-
A.
Ogwashi-Ukwu
Ogwashi-Ukwu is a town in Delta State, southern Nigeria, known as the hometown of prominent economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
-
B.
Igbokoda
Igbokoda is a prominent riverine town in southwestern Nigeria known for its fishing activities and waterways.
-
C.
Igbesa
Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
-
D.
Isi-Uzo
Isi-Uzo is a local government area in southeastern Nigeria known for its predominantly rural communities and cultural ties to the larger Enugu region.
-
E.
Umuahia
Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
- 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: Ugbokolo Triple: [Okpokwu, hasSettlement, Ugbokolo]
Generated description
Ugbokolo is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as a local commercial and educational center in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ugbokolo Target entity description: Ugbokolo is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as a local commercial and educational center in the region.
-
A.
Ogwashi-Ukwu
Ogwashi-Ukwu is a town in Delta State, southern Nigeria, known as the hometown of prominent economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
-
B.
Igbokoda
Igbokoda is a prominent riverine town in southwestern Nigeria known for its fishing activities and waterways.
-
C.
Igbesa
Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
-
D.
Isi-Uzo
Isi-Uzo is a local government area in southeastern Nigeria known for its predominantly rural communities and cultural ties to the larger Enugu region.
-
E.
Umuahia
Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8a518081908ad030ba48b7b946 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7da9414819094d81e5a6ac9fbf9 |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fcf8ab75e48190b6214d5d98b235f8 |
completed | May 7, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcf90e069c8190804019fa0cfaad8f |
completed | May 7, 2026, 8:41 p.m. |
Created at: April 9, 2026, 10:20 p.m.