Triple
T2114017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASN.1 |
E42565
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data description language |
C2888
|
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 description language Context triple: [ASN.1, instanceOf, data description language]
-
A.
database language
A database language is a specialized computer language used to define, manipulate, query, and control data and structures within a database management system.
-
B.
page description language
A page description language is a high-level, device-independent language used to describe the layout, graphics, and text of a printed or displayed page for rendering by printers or display systems.
-
C.
Knowledge representation language
chosen
A knowledge representation language is a formal system used to encode information about the world in a structured, machine-interpretable way so that computers can reason about it.
-
D.
metadata standard
A metadata standard is a structured set of rules and definitions that specify how information about resources should be described, formatted, and shared to ensure consistency, interoperability, and discoverability.
-
E.
bibliographic data model
A bibliographic data model is a structured framework that defines how information about published and unpublished resources (such as books, articles, and digital media) is represented, organized, and related for purposes of description, discovery, and management.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:43 p.m.