Triple
T8418689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DICOM Application Entity |
E198793
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | DICOM concept |
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: DICOM concept Context triple: [DICOM Application Entity, instanceOf, DICOM concept]
-
A.
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.
-
B.
medical classification system
A medical classification system is an organized framework that categorizes diseases, conditions, procedures, and related health information using standardized codes to support diagnosis, treatment, research, and healthcare administration.
-
C.
mobile imaging technology
Mobile imaging technology encompasses portable, often handheld devices and systems that capture, process, and transmit visual or sensor-based images for applications such as diagnostics, surveillance, mapping, and consumer photography.
-
D.
IHE profile family
An IHE profile family is a group of related IHE integration profiles that collectively address a specific clinical or workflow domain using consistent standards and design patterns.
-
E.
electronic health record system
An electronic health record system is a digital platform that securely collects, stores, manages, and shares patients’ health information to support clinical care, coordination, and decision-making.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:06 p.m.