Triple
T13981867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Uganda |
E336328
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Rufumbira |
E275007
|
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: Rufumbira | Statement: [Southwestern Uganda, languageSpoken, Rufumbira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rufumbira Context triple: [Southwestern Uganda, languageSpoken, Rufumbira]
-
A.
Mufulira
Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
-
B.
Rubirizi
Rubirizi is a district in western Uganda known as a gateway to Queen Elizabeth National Park and its surrounding crater lakes and wildlife areas.
-
C.
Butiama
Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
-
D.
Murehwa
Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
-
E.
Runyankole
chosen
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192d09e481909ba3b7522cf661a6 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:18 p.m.