Triple
T33062470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagosora failed to prevent or punish crimes committed by forces under his authority |
E846007
|
entity |
| Predicate | relatesToCrime |
—
|
GENERATED |
| Object | genocide |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToCrime Context triple: [Bagosora failed to prevent or punish crimes committed by forces under his authority, relatesToCrime, genocide]
-
A.
isRelatedCriminalMatterOf
Indicates that one legal case or issue is connected to, arises from, or is otherwise associated with another in a criminal context.
-
B.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
C.
crimeType
chosen
Indicates the specific category or nature of the crime associated with an event or entity.
-
D.
hasRelationshipToPerpetrator
Indicates that an entity has a specified type of relationship or connection to the perpetrator of an act or event.
-
E.
suspectRelationshipToVictim
Indicates that one entity is believed or alleged to have a potentially involved or connected role in relation to a victim.
- F. None of above.
Provenance (1 batch)
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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:25 a.m.