Triple
T9918921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangme people |
E185939
|
entity |
| Predicate | traditionalArea |
P14194
|
FINISHED |
| Object | Kpone |
E763529
|
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: Kpone | Statement: [Dangme people, traditionalArea, Kpone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kpone Context triple: [Dangme people, traditionalArea, Kpone]
-
A.
Kpone
chosen
Kpone is a coastal town in the Greater Accra Region of Ghana, traditionally inhabited by the Ga-Adangbe people and known for its growing industrial and residential development.
-
B.
Kaneshie
Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
-
C.
Dangme
Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
-
D.
Kpeshie
Kpeshie is a traditional festival celebrated in the coastal Ghanaian town of Teshie, known for its rich Ga cultural rituals and communal festivities.
-
E.
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.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5685a908190ab3e55b9bf9613f6 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228b8974c81909a603407ebe3df1f |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:42 p.m.