Triple
T16062949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Sudan |
E389658
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Central Darfur |
E912708
|
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: Central Darfur | Statement: [Northern Sudan, contains, Central Darfur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Darfur Context triple: [Northern Sudan, contains, Central Darfur]
-
A.
Central Darfur
chosen
Central Darfur is a state in western Sudan, formed from the larger Darfur region and known for its ethnic diversity and history of conflict and humanitarian crises.
-
B.
North Darfur
North Darfur is a conflict-affected state in western Sudan known for its arid landscape, scattered rural communities, and central role in the Darfur crisis.
-
C.
East Darfur
East Darfur is a state in western Sudan that forms part of the conflict-affected Darfur region, known for its humanitarian crises and ethnic violence.
-
D.
West Darfur
West Darfur is a conflict-affected state in western Sudan, forming the western part of the larger Darfur region and bordering Chad.
-
E.
South Darfur
South Darfur is a conflict-affected state in western Sudan known for its role in the Darfur crisis and its largely arid, rural landscape.
- 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_6a00456d5e74819080c838468ec015ef |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.