Triple
T19531753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamming distance |
E488672
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | concept in computer science |
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: concept in computer science Context triple: [Hamming distance, instanceOf, concept in computer science]
-
A.
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.
-
B.
subfield of computer science
A subfield of computer science is a specialized area of study and research within the broader discipline that focuses on a particular set of concepts, techniques, and applications, such as artificial intelligence, computer graphics, or cybersecurity.
-
C.
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.
-
D.
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.
-
E.
visionary computing idea
A visionary computing idea is a forward-looking conceptual innovation that reimagines how computation could fundamentally operate, interact with humans, or transform society beyond current technological limits.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 10, 2026, 1:41 p.m.