Triple
T21989988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XSL-FO |
E543057
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | document formatting language |
C1700
|
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: document formatting language Context triple: [XSL-FO, instanceOf, document formatting language]
-
A.
markup language
chosen
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.
document preparation system
A document preparation system is a software tool or suite that enables users to create, edit, format, and manage text-based documents, often integrating layout, styling, and output features for printing or digital distribution.
-
C.
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.
-
D.
markup language standard
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.
-
E.
typesetting manual
A typesetting manual is a reference guide that explains the principles, rules, and techniques for arranging text and visual elements on a page to achieve clear, consistent, and aesthetically pleasing printed or digital documents.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 8:05 p.m.