Triple
T33437869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HyTime |
E856276
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hypermedia structuring language |
C2122
|
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: hypermedia structuring language Context triple: [HyTime, instanceOf, hypermedia structuring language]
-
A.
markup language
A markup language is a system for annotating text or data with tags that define its structure, presentation, or semantics, enabling consistent formatting and processing by software.
-
B.
JSON-based schema language
A JSON-based schema language is a structured, machine-readable format defined in JSON that specifies the allowed structure, types, and constraints of JSON documents for validation and interoperability.
-
C.
markup language standard
chosen
A markup language standard is a formally defined set of rules and syntax for structuring, annotating, and representing data or documents in a consistent, interoperable format.
-
D.
RDF mapping language
An RDF mapping language is a formal language used to define how data from various sources is transformed and expressed as RDF triples, enabling semantic integration and interoperability across heterogeneous systems.
-
E.
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.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.