Triple
T12015242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busoga sub-region |
E286006
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Bukedi sub-region |
E867504
|
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: Bukedi sub-region | Statement: [Busoga sub-region, borders, Bukedi sub-region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bukedi sub-region Context triple: [Busoga sub-region, borders, Bukedi sub-region]
-
A.
Teso sub-region
chosen
The Teso sub-region is an area in eastern Uganda that serves as the cultural and historical homeland of the Iteso people.
-
B.
Lango sub-region
The Lango sub-region is an area in northern Uganda that serves as the traditional homeland of the Lango people, known for its distinct Luo-related language and culture.
-
C.
Mafinga region
Mafinga Region is an administrative area in Tanzania that includes Mafinga Central and surrounding localities.
-
D.
Ave Subregion
Ave Subregion is an administrative and statistical region in northern Portugal known for its industrial cities, historical heritage, and dense urban development.
-
E.
Omaheke Region
Omaheke Region is an administrative region in eastern Namibia known for its semi-arid savannah landscapes and cattle farming.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d9b17881908894be80d7c1b64e |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b4535f48190ac5b2cabb4daf4af |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.