Triple
T18205001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LayoutLM |
E435880
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | document understanding model |
C25414
|
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 understanding model Context triple: [LayoutLM, instanceOf, document understanding model]
-
A.
natural language processing model
chosen
A natural language processing model is a computational system designed to understand, interpret, generate, and manipulate human language in a meaningful way.
-
B.
document digitization tool
A document digitization tool is a software system that converts physical or analog documents into searchable, structured digital formats through processes like scanning, OCR, and metadata extraction.
-
C.
natural language understanding platform
A natural language understanding platform is a system that interprets, analyzes, and derives meaning from human language input to enable intelligent, context-aware interactions and automation.
-
D.
document viewer
A document viewer is a software component or application that allows users to open, display, navigate, and sometimes minimally interact with digital documents in various formats without editing their content.
-
E.
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.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:32 a.m.