Triple
T2740728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imo State |
E60742
|
entity |
| Predicate | hasLocalGovernmentArea |
P8215
|
FINISHED |
| Object |
Oguta
Oguta is a town and local government area in southeastern Nigeria known for its scenic Oguta Lake and cultural significance within Imo State.
|
E368591
|
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: Oguta | Statement: [Imo State, hasLocalGovernmentArea, Oguta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oguta Context triple: [Imo State, hasLocalGovernmentArea, Oguta]
-
A.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
B.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
C.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
D.
Owase
Owase is a coastal city in southern Mie Prefecture, Japan, known for its rugged ria coastline, abundant rainfall, and proximity to the Kumano Kodo pilgrimage routes.
-
E.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
- 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: Oguta Triple: [Imo State, hasLocalGovernmentArea, Oguta]
Generated description
Oguta is a town and local government area in southeastern Nigeria known for its scenic Oguta Lake and cultural significance within Imo State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oguta Target entity description: Oguta is a town and local government area in southeastern Nigeria known for its scenic Oguta Lake and cultural significance within Imo State.
-
A.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
B.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
C.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
D.
Owase
Owase is a coastal city in southern Mie Prefecture, Japan, known for its rugged ria coastline, abundant rainfall, and proximity to the Kumano Kodo pilgrimage routes.
-
E.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2f210881909126307cc92ebfef |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb5cd6f08190adbfbfcf9bb0b096 |
completed | March 13, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69b3bc222eec81908c984dce75e8ef1e |
completed | March 13, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3e6d6263c81908aed3efe5486934f |
completed | March 13, 2026, 10:28 a.m. |
Created at: March 6, 2026, 9:56 p.m.