Triple
T23837612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Neumann entropy |
E590895
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | quantum entropy measure |
C946
|
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: quantum entropy measure Context triple: [von Neumann entropy, instanceOf, quantum entropy measure]
-
A.
entropy measure
chosen
An entropy measure is a quantitative metric that captures the amount of uncertainty, randomness, or information content in a system, distribution, or process.
-
B.
problem in quantum information theory
A problem in quantum information theory is a conceptual or mathematical question concerning how information is represented, processed, transmitted, or measured using quantum mechanical systems and principles.
-
C.
complexity measure
A complexity measure is a quantitative function or criterion used to assess and compare the intricacy, difficulty, or resource requirements of objects, systems, or problems.
-
D.
theorem in quantum foundations
A theorem in quantum foundations is a rigorously proven mathematical statement that clarifies or constrains the possible structures, interpretations, or empirical predictions of quantum theory at its most fundamental level.
-
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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 8:07 p.m.