Triple
T13554177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuɔŋjäŋ |
E323726
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | 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: Dinka | Statement: [Thuɔŋjäŋ, hasAlternativeName, Dinka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinka Context triple: [Thuɔŋjäŋ, hasAlternativeName, Dinka]
-
A.
Dinka
chosen
Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
-
B.
Bahr el Ghazal confluence
The Bahr el Ghazal confluence is the junction in South Sudan where the Bahr el Ghazal River meets the White Nile system, forming a key hydrological point in the Nile Basin.
-
C.
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.
-
D.
Hadejia
Hadejia is a historic commercial and agricultural town in northeastern Nigeria, known for its emirate, river basin, and role as a key urban center in Jigawa State.
-
E.
Nagaden
Nagaden is the commonly used abbreviation for the Nagano Electric Railway, a regional railway operator serving Nagano Prefecture in Japan.
- 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_69f79d3d860c8190a166666a20971de7 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:46 p.m.