Triple
T37955772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakwa language |
E946857
|
entity |
| Predicate | countryStatusInSouthSudan |
—
|
GENERATED |
| Object | minority language |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryStatusInSouthSudan Context triple: [Kakwa language, countryStatusInSouthSudan, minority language]
-
A.
populationRankInSudan
Indicates the relative position of an entity in terms of population size compared to other entities within Sudan.
-
B.
hasLegalStatusInSudan
Indicates that an entity holds a recognized legal status or standing within the jurisdiction of Sudan.
-
C.
languageStatusInSudan
Indicates the recognized or functional status of a language specifically within the context of Sudan.
-
D.
administrativeDivisionOfSudan
Indicates that one entity is an official administrative subdivision or territorial unit within the country of Sudan.
-
E.
primaryLocationInSudan
Indicates that the primary or main location associated with an entity is situated within the country of Sudan.
- F. None of above. chosen
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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.