Triple
T28871978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DICOM Frame of Reference |
E732165
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medical imaging coordinate system |
C24328
|
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: medical imaging coordinate system Context triple: [DICOM Frame of Reference, instanceOf, medical imaging coordinate system]
-
A.
medical imaging communication entity
A medical imaging communication entity is a system or component that creates, sends, receives, or processes medical imaging data and related information across healthcare networks.
-
B.
medical imaging procedure
A medical imaging procedure is a clinical process that uses specialized equipment and techniques to create visual representations of internal body structures and functions for diagnosis, monitoring, or treatment planning.
-
C.
imaging survey
An imaging survey is a systematic observational study that captures images of a region of interest—such as the sky, a landscape, or biological tissue—using standardized instruments and methods to enable large-scale analysis and comparison.
-
D.
DICOM concept
chosen
A DICOM concept is an abstract representation of a medical imaging-related entity, attribute, or relationship defined within the DICOM standard to enable consistent storage, exchange, and interpretation of clinical imaging information.
-
E.
imaging preparation method
An imaging preparation method is a systematic procedure used to treat, condition, or configure a sample, subject, or environment to enable or enhance the acquisition of meaningful images by an imaging system.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
Created at: April 28, 2026, 7:33 a.m.