Triple
T31767035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norbert Mao |
E810837
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | politician from Uganda |
C26827
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: politician from Uganda Context triple: [Norbert Mao, instanceOf, politician from Uganda]
-
A.
Ugandan politician
chosen
A Ugandan politician is a public figure engaged in the governance and political processes of Uganda, typically involved in creating, debating, and implementing policies at local or national levels.
-
B.
Rwandan politician
A Rwandan politician is a public figure from Rwanda who engages in governance, policy-making, and political leadership at local, regional, or national levels within the country’s political system.
-
C.
Tanzanian politician
A Tanzanian politician is a public figure who participates in the governance and political processes of Tanzania, typically by holding or seeking elected or appointed office and influencing public policy and national development.
-
D.
Burundian politician
A Burundian politician is a public figure from Burundi who engages in political activities, holds or seeks governmental office, and influences national or local policy and governance within the country.
-
E.
Kenyan politician
A Kenyan politician is a public figure engaged in the governance and political processes of Kenya, typically holding or seeking elective or appointive office to influence public policy and represent citizens' interests.
- F. None of above.
Provenance (1 batch)
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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:32 p.m.