Triple
T6991722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regular Expression Search Algorithm |
E162100
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer science concept |
C7186
|
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: computer science concept Context triple: [Regular Expression Search Algorithm, instanceOf, computer science concept]
-
A.
computer science problem
A computer science problem is a well-defined computational task or question that requires designing algorithms, data structures, or formal methods to determine a solution or prove properties about its solvability or complexity.
-
B.
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.
-
C.
foundational principle in theoretical computer science
chosen
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.
-
D.
computer science school
A computer science school is an educational institution or program dedicated to teaching the principles, theories, and practical skills of computing, programming, and information technology.
-
E.
technology concept
A technology concept is an abstract idea or blueprint that outlines how a particular technological solution, system, or innovation could function to address a specific need or problem.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:32 p.m.