Triple
T8585702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buganda |
E203300
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Wakiso |
E225487
|
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: Wakiso | Statement: [Buganda, contains, Wakiso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakiso Context triple: [Buganda, contains, Wakiso]
-
A.
Wakiso District
chosen
Wakiso District is a central Ugandan district that encompasses rapidly urbanizing areas around Kampala, including the town of Entebbe on the shores of Lake Victoria.
-
B.
Luweero District
Luweero District is an administrative district in Uganda known for its role as a key battleground area during the Ugandan Bush War in the 1980s.
-
C.
Mukono
Mukono is a town in central Uganda that serves as the administrative and commercial center of Mukono District, located just east of the capital Kampala.
-
D.
Nyanga District
Nyanga District is an administrative district in northeastern Zimbabwe known for its mountainous landscapes and popular tourist attractions such as Nyanga National Park.
-
E.
Mpigi District
Mpigi District is an administrative district in central Uganda known for its agricultural activities and proximity to the capital, Kampala.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457ab8b08190a53c730417288deb |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc7a6e28819090e988343be42a1b |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:22 p.m.