Triple
T13554167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuɔŋjäŋ |
E323726
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Ngök Dinka |
E175971
|
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: Ngök Dinka | Statement: [Thuɔŋjäŋ, hasDialects, Ngök Dinka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngök Dinka Context triple: [Thuɔŋjäŋ, hasDialects, Ngök Dinka]
-
A.
Dinka
chosen
Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
-
B.
Barka River
The Barka River is an intermittent river in Eritrea and Sudan that plays a crucial role in the region’s agriculture and has given its name to Eritrea’s Gash-Barka administrative region.
-
C.
Salhir River
The Salhir River is a major river in Crimea that flows through the city of Simferopol before emptying into the Syvash lagoon system.
-
D.
Tekeze River
The Tekeze River is a major river in the Horn of Africa that flows through northern Ethiopia and Eritrea, carving one of the deepest gorges in Africa before joining the Atbarah River.
-
E.
Anseba River
The Anseba River is a major seasonal watercourse in Eritrea that flows from the central highlands toward the Red Sea basin, supporting agriculture and settlements along its valley.
- 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_69f794281fb48190882f164df1def07e |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:46 p.m.