Triple
T9369292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakiso District |
E225487
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Bweyogerere |
E795093
|
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: Bweyogerere | Statement: [Wakiso District, hasTown, Bweyogerere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bweyogerere Context triple: [Wakiso District, hasTown, Bweyogerere]
-
A.
Bweyogerere
chosen
Bweyogerere is a rapidly growing suburban town near Kampala in Uganda, known for its residential areas, small industries, and proximity to major transport routes.
-
B.
Cyangugu
Cyangugu is a city in western Rwanda that serves as a key lakeside settlement and border crossing with the Democratic Republic of the Congo.
-
C.
Tindyebwa
Tindyebwa is a given name most notably associated with Tindyebwa Agaba Wise, a Rwandan-born human rights activist and former child soldier who became an advocate for refugees in the United Kingdom.
-
D.
Butiama
Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
-
E.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5080f55c8190bd5ca0dc0a4ea989 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100d68d28819082f366f3b5493cfb |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:43 p.m.