Triple
T16062936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Sudan |
E389658
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Khartoum State |
E56936
|
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: Khartoum State | Statement: [Northern Sudan, contains, Khartoum State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khartoum State Context triple: [Northern Sudan, contains, Khartoum State]
-
A.
Khartoum state
chosen
Khartoum state is a central administrative region of Sudan that encompasses the national capital and serves as the country’s political and economic hub.
-
B.
West Kordofan State
West Kordofan State is an oil-rich administrative region in central-western Sudan, known for its diverse ethnic communities and history of conflict and displacement.
-
C.
Gedaref State
Gedaref State is an agricultural region in eastern Sudan known for its fertile plains, sorghum production, and proximity to the Ethiopian border.
-
D.
North Kordofan State
North Kordofan State is a large, predominantly rural region in central Sudan known for its semi-arid savannah landscape, agriculture, and livestock herding.
-
E.
Western Equatoria State
Western Equatoria State is a region in southwestern South Sudan known for its ethnic diversity, agriculture, and use of several local languages including Moru.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837a04108190b5a1dbbe2063039e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ca9748190be24a490c3cf0e8c |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.