Triple
T8110116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MADOC |
E189327
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | criminal justice organization |
C4742
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: criminal justice organization Context triple: [MADOC, instanceOf, criminal justice organization]
-
A.
criminal justice funding agency
A criminal justice funding agency is an organization that allocates financial resources to support law enforcement, courts, corrections, and related programs aimed at maintaining public safety and improving the justice system.
-
B.
criminal organization
A criminal organization is a structured group of individuals who collaborate to plan, commit, and profit from illegal activities, often using violence, corruption, or intimidation to maintain power and evade law enforcement.
-
C.
criminal justice information system
A criminal justice information system is an integrated platform that collects, manages, and shares data related to crimes, offenders, victims, and justice processes among law enforcement, courts, and correctional agencies.
-
D.
police training organization
chosen
A police training organization is an institution responsible for educating, training, and certifying law enforcement personnel in legal standards, tactical skills, ethics, and community engagement.
-
E.
correctional industries organization
A correctional industries organization is an entity that manages and operates work, vocational training, and production programs within correctional facilities to provide inmates with job skills, generate revenue, and support rehabilitation.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:32 p.m.