Triple
T3895775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Nyerere |
E88165
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Butiama |
E396759
|
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: Butiama | Statement: [Julius Nyerere, burialPlace, Butiama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butiama Context triple: [Julius Nyerere, burialPlace, Butiama]
-
A.
Butiama
chosen
Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
-
B.
Runyankole
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
C.
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.
-
D.
Mufulira
Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
-
E.
Gokwe
Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecd197148190b5b24f7097c6049a |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5337c136c8190ba6ee7789621e41c |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:21 p.m.