Triple
T18656447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupiah Banda |
E456076
|
entity |
| Predicate | place of birth |
P1
|
FINISHED |
| Object | Gwanda |
—
|
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: Gwanda | Statement: [Rupiah Banda, place of birth, Gwanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwanda Context triple: [Rupiah Banda, place of birth, Gwanda]
-
A.
Gwanda
chosen
Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
-
B.
Mufulira
Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
-
C.
Bushenyi
Bushenyi is a town in western Uganda that serves as a regional hub and gateway to nearby attractions such as Queen Elizabeth National Park.
-
D.
Gwanda District
Gwanda District is an administrative district in southern Zimbabwe’s Matabeleland South Province, known for its semi-arid climate, cattle ranching, and proximity to mineral-rich areas.
-
E.
Rufumbira
Rufumbira is a Bantu language variety spoken primarily in southwestern Rwanda, closely related to other Rwanda-Rundi dialects.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55084ca3481909ff3fd9045f25dcd |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:47 a.m.