Triple
T21418102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagaaba |
E528358
|
entity |
| Predicate | notableTown |
P14082
|
FINISHED |
| Object | Nandom |
—
|
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: Nandom | Statement: [Dagaaba, notableTown, Nandom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandom Context triple: [Dagaaba, notableTown, Nandom]
-
A.
Nandom
chosen
Nandom is a town and district capital in Ghana’s Upper West Region, known for its predominantly Dagara population and proximity to the Burkina Faso border.
-
B.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
C.
Banjima
Banjima is an Aboriginal Australian people traditionally associated with the Pilbara region of Western Australia, known for their distinct language and cultural heritage.
-
D.
Bhamo
Bhamo is a town in northern Myanmar situated on the Ayeyarwady River, historically important as a trading hub near the Chinese border.
-
E.
Nkoroo
Nkoroo is a Niger Delta language of Nigeria closely associated with the Defaka people and their linguistic environment.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d29f948190b820c92014d1c53a |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:46 p.m.