Triple
T32215809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coding Theory |
E822919
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | subfield of information theory |
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 information theory Context triple: [Coding Theory, instanceOf, subfield of information theory]
-
A.
set of axioms in information theory
A set of axioms in information theory is a foundational collection of formal assumptions that precisely define and constrain measures of information, uncertainty, and related concepts so that theorems and results can be derived consistently.
-
B.
set of axioms in information theory
A set of axioms in information theory is a foundational collection of formal principles that precisely define and constrain measures of information, uncertainty, and related concepts so that consistent theorems and results can be derived.
-
C.
subfield of cryptography
A subfield of cryptography is a specialized area of study within cryptography that focuses on a particular set of problems, techniques, or applications, such as public-key cryptography, cryptographic protocols, or post-quantum cryptography.
-
D.
subfield of computer science
chosen
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.
-
E.
inequality in information theory
An inequality in information theory is a mathematical relation that bounds or compares information-theoretic quantities—such as entropy, mutual information, or divergence—to reveal fundamental limits on data compression, communication, and inference.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:37 a.m.