Triple
T13554142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agar Dinka |
E323725
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Rek 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: Rek Dinka | Statement: [Agar Dinka, closelyRelatedTo, Rek Dinka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rek Dinka Context triple: [Agar Dinka, closelyRelatedTo, Rek Dinka]
-
A.
Rek Dinka
chosen
Rek Dinka is a major dialect of the Dinka language spoken primarily by the Rek subgroup in South Sudan.
-
B.
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.
-
C.
Twic Dinka
Twic Dinka are a distinct subgroup of the Dinka ethnic community of South Sudan, known for their pastoralist lifestyle, clan-based social structure, and rich cultural traditions.
-
D.
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.
-
E.
Bul Nuer
Bul Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
- 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.