Triple
T10490090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jebel Marra |
E247392
|
entity |
| Predicate | hasConflictImpact |
P57235
|
FINISHED |
| Object | area affected by Darfur conflict |
—
|
LITERAL 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: area affected by Darfur conflict | Statement: [Jebel Marra, hasConflictImpact, area affected by Darfur conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConflictImpact Context triple: [Jebel Marra, hasConflictImpact, area affected by Darfur conflict]
-
A.
associatedConflictImpact
chosen
Indicates a relationship where an entity is linked to a specific conflict and the effects or consequences that conflict has on it.
-
B.
hasUpstreamImpactOn
Indicates that one entity’s actions, changes, or outputs affect another entity that is positioned earlier in a process, flow, or dependency chain.
-
C.
triggersConflict
Indicates that one entity initiates or causes a dispute, clash, or incompatibility to arise with another entity or within a system.
-
D.
hasConflictRelatedDamage
Indicates that an entity has incurred damage that is directly related to, or caused by, a conflict or conflict-related event.
-
E.
hasConflictStatus
Indicates that there exists a state of conflict or dispute associated with the relationship between the involved entities.
- F. None of above.
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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:23 p.m.