Triple
T13054118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buhera |
E327524
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Buhera District |
E331704
|
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: Buhera District | Statement: [Buhera, partOf, Buhera District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buhera District Context triple: [Buhera, partOf, Buhera District]
-
A.
Buhera District
chosen
Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
-
B.
Busia District
Busia District is an administrative region in western Kenya located along the border with Uganda.
-
C.
Itezhi-Tezhi District
Itezhi-Tezhi District is an administrative region in Zambia known for encompassing the Itezhi-Tezhi Dam and parts of the Kafue National Park.
-
D.
Mutasa District
Mutasa District is an administrative district in eastern Zimbabwe known for its mountainous terrain, tea and coffee estates, and location within Manicaland Province.
-
E.
Nzega District
Nzega District is an administrative district in central Tanzania known for its rural communities and agriculture, located within the country’s Tabora 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bb52d88190b5be12000e27a2c9 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a20a5ec8190bc054b3d7cae003b |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 8:58 p.m.