Triple
T11302959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kusaal language |
E267640
|
entity |
| Predicate | primaryRegion |
P1103
|
FINISHED |
| Object | Bawku area |
E588472
|
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: Bawku area | Statement: [Kusaal language, primaryRegion, Bawku area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bawku area Context triple: [Kusaal language, primaryRegion, Bawku area]
-
A.
Bawku
chosen
Bawku is a town in northeastern Ghana known as a commercial hub near the country’s border with Burkina Faso.
-
B.
Hkakabo Razi region
The Hkakabo Razi region is a remote, mountainous area in northern Myanmar known for containing the country’s highest peak and rich, largely unexplored biodiversity.
-
C.
Pankshin area
Pankshin area is a locality in Plateau State, central Nigeria, known for its diverse ethnic groups and use of the Angas language.
-
D.
Bago District
Bago District is an administrative district in central Myanmar that includes the city of Bago and surrounding areas within the Bago Region.
-
E.
Bhamo region
Bhamo region is an area in northern Myanmar near the Chinese border, historically significant as a strategic transit point and river port along routes such as the World War II-era Ledo Road.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.