Triple
T3089486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omdurman |
E64455
|
entity |
| Predicate | capitalOf |
P204
|
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: [Omdurman, capitalOf, Khartoum State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khartoum State Context triple: [Omdurman, capitalOf, 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.
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.
-
C.
Sennar State
Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
-
D.
Blue Nile State
Blue Nile State is a region in southeastern Sudan known for its fertile riverine landscapes, ethnic diversity, and history of conflict and political marginalization.
-
E.
Dawadmi Governorate
Dawadmi Governorate is an administrative region in central Saudi Arabia known for its historical sites and location within the broader Riyadh area.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20b99a4819090c3d3e08ed556ad |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20364f8ac8190898b2aef195eb85f |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:03 p.m.