Triple
T21417873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wa |
E528353
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Bolgatanga |
—
|
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: Bolgatanga | Statement: [Wa, hasRoadConnectionTo, Bolgatanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolgatanga Context triple: [Wa, hasRoadConnectionTo, Bolgatanga]
-
A.
Bolgatanga
chosen
Bolgatanga is a town in northern Ghana known as a commercial and cultural hub, particularly famous for its traditional crafts and vibrant market.
-
B.
Kaolack
Kaolack is a major city in western Senegal known as a regional commercial hub and center of peanut trade.
-
C.
Dangme
Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
-
D.
Mbuji-Mayi
Mbuji-Mayi is a major city in south-central Democratic Republic of the Congo, known as a key center of the country’s diamond mining industry.
-
E.
Kenema District
Kenema District is an administrative district in eastern Sierra Leone known for its predominantly Mende population and rich agricultural and diamond-mining activities.
- 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.