Triple
T3766464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egmont Group |
E82688
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | network of Financial Intelligence Units |
C8577
|
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: network of Financial Intelligence Units Context triple: [Egmont Group, instanceOf, network of Financial Intelligence Units]
-
A.
federal information sharing initiative
A federal information sharing initiative is a coordinated program through which federal agencies and authorized partners securely exchange data, intelligence, and best practices to improve decision-making, policy implementation, and national security.
-
B.
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.
-
C.
law enforcement agency network
chosen
A law enforcement agency network is an interconnected system of local, regional, and national policing and investigative bodies that share information, resources, and coordination mechanisms to prevent, detect, and respond to crime and public safety threats.
-
D.
terrorist watchlisting system
A terrorist watchlisting system is a centralized platform that collects, analyzes, and shares information on individuals suspected of terrorism-related activities to support threat detection, risk assessment, and operational decision-making by authorized agencies.
-
E.
global data-processing and forecasting system
A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 8, 2026, 3:35 p.m.