Triple
T9606408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English in Uganda |
E231981
|
entity |
| Predicate | associatedVariety |
P41829
|
FINISHED |
| Object | Ugandan English |
—
|
LITERAL 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: Ugandan English | Statement: [English in Uganda, associatedVariety, Ugandan English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedVariety Context triple: [English in Uganda, associatedVariety, Ugandan English]
-
A.
varietyOf
chosen
Indicates that one entity is a specific type, kind, or variant of another, more general entity.
-
B.
parentVariety
Indicates that one variety is the direct parent or source variety from which another variety is derived or developed.
-
C.
closelyRelatedVariety
Indicates that one variety is very similar to another, differing only in minor or closely related characteristics.
-
D.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
E.
typicalVariety
Indicates that one entity is a representative or characteristic example of the variety or type defined by another entity.
- F. None of above.
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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a6006d48190adc03306533b9be6 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.