Triple
T14796991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onyankopon |
E347806
|
entity |
| Predicate | people |
P17131
|
FINISHED |
| Object | Akuapem |
E999286
|
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: Akuapem | Statement: [Onyankopon, people, Akuapem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akuapem Context triple: [Onyankopon, people, Akuapem]
-
A.
Akuapem area
chosen
The Akuapem area is a culturally significant region in southeastern Ghana, known as the homeland of the Akuapem people and a center of the Akuapem Twi dialect.
-
B.
Ahafo Region
The Ahafo Region is an administrative region in central-western Ghana known for its rich forests, agricultural activities, and growing mining industry.
-
C.
Obuasi
Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
-
D.
Odukpani
Odukpani is a local government area in southeastern Nigeria known for its diverse ethnic communities and proximity to the state capital, Calabar, in Cross River State.
-
E.
Sefwi
Sefwi is a Central Tano language spoken primarily by the Sefwi people in western Ghana.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c0beb0819081a124479a849bb6 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.