Triple
T3148613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 116-283, Division F |
E65822
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | anti-money laundering legislation |
C3994
|
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: anti-money laundering legislation Context triple: [Public Law 116-283, Division F, instanceOf, anti-money laundering legislation]
-
A.
anti-money laundering initiative
An anti-money laundering initiative is a coordinated set of policies, procedures, and technologies designed to detect, prevent, and report the concealment of illicit funds within financial and commercial systems.
-
B.
anti–money laundering measure
chosen
An anti–money laundering measure is a policy, procedure, or control designed to detect, prevent, and report the concealment of illicitly obtained funds within the legitimate financial system.
-
C.
anti-drug legislation
Anti-drug legislation comprises laws and regulations designed to control, restrict, or prohibit the production, distribution, possession, and use of certain drugs, often with the goals of protecting public health, reducing crime, and regulating pharmaceutical and recreational substances.
-
D.
anti-trafficking legislation
Anti-trafficking legislation comprises laws and regulations designed to prevent and punish human trafficking, protect and support victims, and promote cooperation among institutions and jurisdictions to combat trafficking effectively.
-
E.
counter-terrorist financing initiative
A counter-terrorist financing initiative is a coordinated set of policies, processes, and tools designed to detect, prevent, and disrupt the flow of funds and financial support to terrorist organizations and activities.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
Created at: March 8, 2026, 3:05 p.m.