Triple
T9606374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English in Uganda |
E231981
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | language use in a country |
C15953
|
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: language use in a country Context triple: [English in Uganda, instanceOf, language use in a country]
-
A.
language use in a territory
chosen
The conceptual class "language use in a territory" represents how one or more languages are distributed, practiced, and function within a specific geographic or political area, including patterns of speakers, domains of use, and sociolinguistic dynamics.
-
B.
language network
A language network is a structured system of interconnected linguistic units, processes, or agents that collaboratively enable the representation, processing, and transmission of language.
-
C.
language of the United Kingdom
The language of the United Kingdom is a diverse set of historically rooted and contemporary languages—including English, Welsh, Scottish Gaelic, Irish, Scots, and others—used for communication, identity, and cultural expression across its constituent nations.
-
D.
lingua franca
A lingua franca is a language systematically used to make communication possible between people who do not share a native language, often for trade, diplomacy, or other practical purposes.
-
E.
language isolate
A language isolate is a natural language that has no demonstrable genetic relationship to any other known language, meaning it cannot be confidently classified into an existing language family.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8:08 p.m.