Triple
T17838436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maba people |
E445454
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Darfur region |
—
|
NE NERFINISHED |
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: Darfur region | Statement: [Maba people, locatedIn, Darfur region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darfur region Context triple: [Maba people, locatedIn, Darfur region]
-
A.
Darfur region
chosen
The Darfur region is a conflict-affected area in western Sudan known for its ethnic diversity, humanitarian crises, and international peacekeeping interventions.
-
B.
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.
-
C.
West Darfur
West Darfur is a conflict-affected state in western Sudan, forming the western part of the larger Darfur region and bordering Chad.
-
D.
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.
-
E.
Central Darfur
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d29830c81909fa3ef5a352921b8 |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.