Triple
T13554164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuɔŋjäŋ |
E323726
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Malual Dinka |
E687001
|
NE 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: Malual Dinka | Statement: [Thuɔŋjäŋ, hasDialects, Malual Dinka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malual Dinka Context triple: [Thuɔŋjäŋ, hasDialects, Malual Dinka]
-
A.
Dinka
Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
-
B.
Rek Dinka
chosen
Rek Dinka is a major dialect of the Dinka language spoken primarily by the Rek subgroup in South Sudan.
-
C.
Moringua
Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
-
D.
Bor Dinka
Bor Dinka are a prominent subgroup of the Dinka people of South Sudan, known for their Nilotic pastoralist culture, cattle herding traditions, and significant role in the country’s political and social history.
-
E.
Kenuzi-Dongola
Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff1c1f0819084352d9b2ee13d7a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78add2b0c8190ade1af991744c4e0 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:46 p.m.