Triple
T28872027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DICOM Transfer Syntax |
E732166
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data interchange specification |
C2628
|
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: data interchange specification Context triple: [DICOM Transfer Syntax, instanceOf, data interchange specification]
-
A.
data serialization language
A data serialization language is a formal notation used to structure, encode, and represent data so it can be stored or transmitted and later reconstructed consistently across different systems.
-
B.
JSON specification
A JSON specification defines the structured format, syntax rules, and data types for representing and exchanging data using JavaScript Object Notation.
-
C.
metadata interoperability initiative
A metadata interoperability initiative is a coordinated effort to develop, align, and implement standards, tools, and practices that enable seamless exchange, integration, and reuse of metadata across diverse systems and domains.
-
D.
interoperability specification suite
An interoperability specification suite is a coordinated set of technical standards, protocols, and guidelines designed to ensure that diverse systems, components, or organizations can reliably exchange and correctly interpret data and functionality.
-
E.
binary format specification
chosen
A binary format specification precisely defines the structure, encoding rules, and interpretation of data represented in a non-textual, bit-level format for storage or transmission.
- 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.