Triple
T13558620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akoko |
E323843
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object |
Ipe-Akoko
Ipe-Akoko is a prominent town in Ondo State, southwestern Nigeria, known as one of the key communities in the Akoko region.
|
E1057156
|
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: Ipe-Akoko | Statement: [Akoko, hasMajorSettlement, Ipe-Akoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipe-Akoko Context triple: [Akoko, hasMajorSettlement, Ipe-Akoko]
-
A.
Oba-Akoko
Oba-Akoko is a prominent town in Ondo State, southwestern Nigeria, known as one of the major settlements of the Akoko people.
-
B.
Isua-Akoko
Isua-Akoko is a prominent town in the Akoko area of Ondo State, southwestern Nigeria.
-
C.
Akoko
Akoko is a prominent Yoruba sub-ethnic group in southwestern Nigeria, primarily inhabiting the northeastern part of Ondo State and parts of neighboring states.
-
D.
Eleko of Eko
Eleko of Eko was the traditional royal title for the ruler of Lagos before the modern designation of Oba of Lagos was adopted.
-
E.
Agbara
Agbara is a prominent industrial and residential town in southwestern Nigeria, known for its large industrial estate and proximity to Lagos.
- 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: Ipe-Akoko Triple: [Akoko, hasMajorSettlement, Ipe-Akoko]
Generated description
Ipe-Akoko is a prominent town in Ondo State, southwestern Nigeria, known as one of the key communities in the Akoko region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ipe-Akoko Target entity description: Ipe-Akoko is a prominent town in Ondo State, southwestern Nigeria, known as one of the key communities in the Akoko region.
-
A.
Oba-Akoko
Oba-Akoko is a prominent town in Ondo State, southwestern Nigeria, known as one of the major settlements of the Akoko people.
-
B.
Isua-Akoko
Isua-Akoko is a prominent town in the Akoko area of Ondo State, southwestern Nigeria.
-
C.
Akoko
Akoko is a prominent Yoruba sub-ethnic group in southwestern Nigeria, primarily inhabiting the northeastern part of Ondo State and parts of neighboring states.
-
D.
Eleko of Eko
Eleko of Eko was the traditional royal title for the ruler of Lagos before the modern designation of Oba of Lagos was adopted.
-
E.
Agbara
Agbara is a prominent industrial and residential town in southwestern Nigeria, known for its large industrial estate and proximity to Lagos.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d3d860c8190a166666a20971de7 |
completed | May 3, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f79f9b643881908fdd9e1fed8e2af4 |
completed | May 3, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a01ccda881909a76cec423e05f66 |
completed | May 3, 2026, 7:21 p.m. |
Created at: April 9, 2026, 9:47 p.m.