Triple
T5909346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akure |
E131420
|
entity |
| Predicate | hasLocalGovernmentArea |
P8215
|
FINISHED |
| Object |
Akure North
Akure North is a local government area in Ondo State, southwestern Nigeria, that administers the communities surrounding the city of Akure.
|
E556799
|
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: Akure North | Statement: [Akure, hasLocalGovernmentArea, Akure North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akure North Context triple: [Akure, hasLocalGovernmentArea, Akure North]
-
A.
Akure South
Akure South is a local government area in Ondo State, Nigeria, that encompasses much of the urban and administrative core of the city of Akure.
-
B.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
C.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
-
D.
Helgeland
Helgeland is a coastal region in northern Norway known for its dramatic fjords, islands, and mountain landscapes.
-
E.
Akure
Akure is the capital city of Ondo State in southwestern Nigeria, known as an important 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: Akure North Triple: [Akure, hasLocalGovernmentArea, Akure North]
Generated description
Akure North is a local government area in Ondo State, southwestern Nigeria, that administers the communities surrounding the city of Akure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akure North Target entity description: Akure North is a local government area in Ondo State, southwestern Nigeria, that administers the communities surrounding the city of Akure.
-
A.
Akure South
Akure South is a local government area in Ondo State, Nigeria, that encompasses much of the urban and administrative core of the city of Akure.
-
B.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
C.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
-
D.
Helgeland
Helgeland is a coastal region in northern Norway known for its dramatic fjords, islands, and mountain landscapes.
-
E.
Akure
Akure is the capital city of Ondo State in southwestern Nigeria, known as an important 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03775590481909a797b166fbe108c |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c015b90081909777ac5ed80e927c |
completed | March 23, 2026, 4:22 a.m. |
| NEDg | Description generation | batch_69c0c1bf78908190933360b1099b1444 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c240c3ac8190895c621c3d326bfd |
completed | March 23, 2026, 4:32 a.m. |
Created at: March 22, 2026, 3:59 p.m.