Triple
T23130527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nzema |
E577152
|
entity |
| Predicate | hasNotableTown |
P14082
|
FINISHED |
| Object | Nkroful |
—
|
NE NERFINISHED |
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: Nkroful | Statement: [Nzema, hasNotableTown, Nkroful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nkroful Context triple: [Nzema, hasNotableTown, Nkroful]
-
A.
Nkroful
chosen
Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
-
B.
Denkyira
Denkyira was a powerful pre-colonial Akan state in what is now Ghana, known for its early dominance over neighboring states before being defeated and eclipsed by the rising Ashanti Empire.
-
C.
Kpando
Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
-
D.
Kaneshie
Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
-
E.
Nkoranza
Nkoranza is a prominent town in central Ghana known as a key commercial and administrative center in the Bono East area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e87cd188190b466f7a4c9670e56 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.