Triple
T8399418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | computer graphics |
E198134
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | subfield of computer science |
C24280
|
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: subfield of computer science Context triple: [computer graphics, instanceOf, subfield of computer science]
-
A.
subfield of linguistics
A subfield of linguistics is a specialized branch of the study of language that focuses on a particular aspect of linguistic structure, use, or development, such as phonetics, syntax, semantics, or sociolinguistics.
-
B.
research computer system
A research computer system is a specialized computing environment designed to support complex scientific or academic investigations by providing high-performance processing, large-scale data storage, and advanced analytical tools.
-
C.
subfield of genetics
A subfield of genetics is a specialized branch that focuses on a particular aspect of heredity and gene function, such as molecular mechanisms, population patterns, or the genetic basis of specific traits or diseases.
-
D.
foundational principle in theoretical computer science
A foundational principle in theoretical computer science is a core, abstract concept or rule—such as computability, complexity, or formal language theory—that underlies and unifies the study of algorithms, computation models, and their inherent limits.
-
E.
computer science book
A computer science book is a structured, written resource that explains concepts, theories, and practices related to computing, algorithms, programming, and information systems.
- F. None of above. chosen
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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
Created at: March 30, 2026, 6:04 p.m.