Triple
T38526763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | law enforcement intelligence framework |
E923248
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | intelligence framework |
C66509
|
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: intelligence framework Context triple: [law enforcement intelligence framework, instanceOf, intelligence framework]
-
A.
intelligence funding framework
An intelligence funding framework is a structured system of policies, processes, and oversight mechanisms that govern how resources are allocated, managed, and evaluated to support intelligence activities and capabilities.
-
B.
intelligence assessment
An intelligence assessment is a systematic evaluation process used to measure, analyze, and interpret an individual’s or group’s cognitive abilities, problem-solving skills, and related mental capacities for decision-making or diagnostic purposes.
-
C.
intelligence front
An intelligence front is an ostensibly legitimate organization or entity that covertly serves as a cover for intelligence-gathering, espionage, or other clandestine activities.
-
D.
intelligence program
An intelligence program is a software system designed to collect, process, analyze, and interpret data to generate actionable insights or decisions that mimic or support human cognitive capabilities.
-
E.
artificial intelligence framework
An artificial intelligence framework is a structured software environment that provides tools, libraries, and interfaces to design, train, deploy, and manage AI and machine learning models efficiently.
- F. None of above. chosen
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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.