Triple
T3055467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinka language |
E60468
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Atuot language |
E247235
|
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: Atuot language | Statement: [Dinka language, closelyRelatedTo, Atuot language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atuot language Context triple: [Dinka language, closelyRelatedTo, Atuot language]
-
A.
Atuot language
chosen
The Atuot language is a Western Nilotic language spoken by the Atuot people of South Sudan, closely related to Nuer and Dinka.
-
B.
Attié language
The Attié language is a Niger-Congo language spoken primarily by the Attié people of southern Côte d'Ivoire.
-
C.
Tai Aiton language
The Tai Aiton language is a Southwestern Tai language spoken by the Tai Aiton ethnic community in northeastern India, particularly in Assam.
-
D.
Opata language
The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
-
E.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf6b9948190bc957bfd1579c471 |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef03425c8190a44486ab563c210f |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.