Triple
T23168027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jieng |
E578764
|
entity |
| Predicate | usesLanguage |
P238
|
FINISHED |
| Object | Dinka language |
—
|
NE NERFINISHED |
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: Dinka language | Statement: [Jieng, usesLanguage, Dinka language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinka language Context triple: [Jieng, usesLanguage, Dinka language]
-
A.
Dinka language
chosen
The Dinka language is a Western Nilotic language spoken primarily by the Dinka people of South Sudan, known for its complex system of tones and vowel lengths.
-
B.
Dinka–Nuer languages
The Dinka–Nuer languages are a closely related group of Western Nilotic languages spoken primarily by the Dinka and Nuer peoples of South Sudan and surrounding regions.
-
C.
Nuer language
Nuer language is a Western Nilotic language spoken primarily by the Nuer people of South Sudan and western Ethiopia.
-
D.
Kipsigis language
The Kipsigis language is a Southern Nilotic language spoken by the Kipsigis people of Kenya, forming part of the broader Kalenjin language cluster.
-
E.
Didinga language
The Didinga language is a Surmic language spoken primarily by the Didinga people in the Eastern Equatoria region of South Sudan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2d51288190af0d5747090d8e5d |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.