Triple
T10796676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyuong Nuer |
E254724
|
entity |
| Predicate | hasDialectContinuumWith |
P18451
|
FINISHED |
| Object | Bul Nuer |
E252482
|
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: Bul Nuer | Statement: [Nyuong Nuer, hasDialectContinuumWith, Bul Nuer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bul Nuer Context triple: [Nyuong Nuer, hasDialectContinuumWith, Bul Nuer]
-
A.
Bul Nuer
chosen
Bul Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
-
B.
Jikany Nuer
Jikany Nuer is a dialect of the Nuer language spoken by the Jikany subgroup of the Nuer people in South Sudan and neighboring regions.
-
C.
Gawar Nuer
Gawar Nuer is a dialect of the Nuer language spoken by the Gawar subgroup of the Nuer people in South Sudan.
-
D.
Nyuong Nuer
Nyuong Nuer is a regional dialect of the Nuer language spoken by the Nyuong subgroup of the Nuer people in South Sudan and neighboring areas.
-
E.
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.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84f1fdfc8190a31a13ae434e56c1 |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:17 p.m.