Triple
T13558619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akoko |
E323843
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object | Afin-Akoko |
E1052788
|
NE FINISHED |
How this triple was built (2 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: Afin-Akoko | Statement: [Akoko, hasMajorSettlement, Afin-Akoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afin-Akoko Context triple: [Akoko, hasMajorSettlement, Afin-Akoko]
-
A.
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.
-
B.
Isua-Akoko
chosen
Isua-Akoko is a prominent town in the Akoko area of Ondo State, southwestern Nigeria.
-
C.
Akuku
Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
-
D.
Akwamu
Akwamu was a powerful early modern West African kingdom of the Akan people, known for its military expansion and control of key trade routes in what is now Ghana.
-
E.
Tagakaolo
Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f794281fb48190882f164df1def07e |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:47 p.m.