Triple
T12272307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etsako |
E292499
|
entity |
| Predicate | notableTown |
P14082
|
FINISHED |
| Object |
Agenebode
Agenebode is a prominent town in Edo State, Nigeria, known as a key riverine community along the River Niger and an important center for the Etsako people.
|
E977154
|
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: Agenebode | Statement: [Etsako, notableTown, Agenebode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agenebode Context triple: [Etsako, notableTown, Agenebode]
-
A.
Odogbolu
Odogbolu is a town and local government area in Ogun State, southwestern Nigeria, historically under the traditional authority of the Awujale of Ijebu.
-
B.
Ogbadibo
Ogbadibo is a local government area in Benue State, Nigeria, predominantly inhabited by the Idoma people.
-
C.
Ogba
Ogba is a bustling mixed-use neighborhood in Lagos, Nigeria, known for its residential estates, markets, and small-to-medium-scale businesses.
-
D.
Oloibiri
Oloibiri is a historic town in Bayelsa State, Nigeria, best known as the site where commercial quantities of crude oil were first discovered in the country.
-
E.
Ade Ori
Ade Ori is a character in the Nigerian film "Water & Garri," which explores themes of identity, homecoming, and personal transformation.
- 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: Agenebode Triple: [Etsako, notableTown, Agenebode]
Generated description
Agenebode is a prominent town in Edo State, Nigeria, known as a key riverine community along the River Niger and an important center for the Etsako people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agenebode Target entity description: Agenebode is a prominent town in Edo State, Nigeria, known as a key riverine community along the River Niger and an important center for the Etsako people.
-
A.
Odogbolu
Odogbolu is a town and local government area in Ogun State, southwestern Nigeria, historically under the traditional authority of the Awujale of Ijebu.
-
B.
Ogbadibo
Ogbadibo is a local government area in Benue State, Nigeria, predominantly inhabited by the Idoma people.
-
C.
Ogba
Ogba is a bustling mixed-use neighborhood in Lagos, Nigeria, known for its residential estates, markets, and small-to-medium-scale businesses.
-
D.
Oloibiri
Oloibiri is a historic town in Bayelsa State, Nigeria, best known as the site where commercial quantities of crude oil were first discovered in the country.
-
E.
Ade Ori
Ade Ori is a character in the Nigerian film "Water & Garri," which explores themes of identity, homecoming, and personal transformation.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a959e7c8190a005f20728cb71e0 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:52 p.m.