Triple
T12715175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owerri West |
E303817
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Eziobodo
Eziobodo is a community in southeastern Nigeria located within the Owerri West Local Government Area of Imo State.
|
E1029925
|
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: Eziobodo | Statement: [Owerri West, hasSettlement, Eziobodo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eziobodo Context triple: [Owerri West, hasSettlement, Eziobodo]
-
A.
Igbesa
Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
-
B.
Ejisu
Ejisu is a prominent town and municipal capital in Ghana’s Ashanti Region, known for its historical significance within the Ashanti Kingdom and its role as a commercial and administrative center.
-
C.
Arinze
Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
-
D.
Ikposo
Ikposo is a Niger-Congo language spoken primarily by the Akposso people in Togo and parts of neighboring West African countries.
-
E.
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.
- 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: Eziobodo Triple: [Owerri West, hasSettlement, Eziobodo]
Generated description
Eziobodo is a community in southeastern Nigeria located within the Owerri West Local Government Area of Imo State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eziobodo Target entity description: Eziobodo is a community in southeastern Nigeria located within the Owerri West Local Government Area of Imo State.
-
A.
Igbesa
Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
-
B.
Ejisu
Ejisu is a prominent town and municipal capital in Ghana’s Ashanti Region, known for its historical significance within the Ashanti Kingdom and its role as a commercial and administrative center.
-
C.
Arinze
Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
-
D.
Ikposo
Ikposo is a Niger-Congo language spoken primarily by the Akposso people in Togo and parts of neighboring West African countries.
-
E.
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.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a18790c8190afea8f946712987c |
completed | May 3, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69f70c000da081909297f3d24666b6a5 |
completed | May 3, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ce60a7081908f9498fcfec98e90 |
completed | May 3, 2026, 8:52 a.m. |
Created at: April 9, 2026, 5:23 p.m.