Triple
T28759417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI Level 3 |
E731766
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | forensic specialist role |
C23983
|
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: forensic specialist role Context triple: [CSI Level 3, instanceOf, forensic specialist role]
-
A.
forensic scientist
chosen
A forensic scientist is a professional who applies scientific methods and techniques to analyze physical evidence from crime scenes to help reconstruct events and support legal investigations.
-
B.
forensic pathologist
A forensic pathologist is a medical doctor who investigates deaths by examining bodies, performing autopsies, and analyzing medical and legal evidence to determine the cause and manner of death.
-
C.
law enforcement role
A law enforcement role is a position within an authorized agency responsible for upholding laws, maintaining public order, preventing and investigating crime, and protecting the safety and rights of individuals and communities.
-
D.
regional forensic science platform
A regional forensic science platform is an integrated system that connects laboratories, law enforcement, and judicial entities within a geographic area to manage, analyze, and share forensic data and case information securely and efficiently.
-
E.
forensic science network
A forensic science network is an interconnected system of professionals, laboratories, databases, and technologies that collaboratively collect, analyze, share, and interpret scientific evidence to support criminal investigations and legal proceedings.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 28, 2026, 6:11 a.m.