Triple
T18074146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Bunyoro |
E432509
|
entity |
| Predicate | formerCapital |
P3417
|
FINISHED |
| Object | Masindi |
—
|
NE NERFINISHED |
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: Masindi | Statement: [Kingdom of Bunyoro, formerCapital, Masindi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masindi Context triple: [Kingdom of Bunyoro, formerCapital, Masindi]
-
A.
Masindi
chosen
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
-
B.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
-
C.
Mogoro
Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
-
D.
Mbeya
Mbeya is a major city in southwestern Tanzania, serving as a commercial and transport hub near the Zambian border.
-
E.
Mzimba
Mzimba is a town in northern Malawi that serves as the administrative center of Mzimba District, known for its agricultural activities and Ngoni cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccefcdc4819086d0b224731bfc4d |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.