Triple
T4094205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Neumann measurement scheme |
E87774
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | model of quantum measurement |
C5731
|
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: model of quantum measurement Context triple: [von Neumann measurement scheme, instanceOf, model of quantum measurement]
-
A.
quantum theory formalism
A quantum theory formalism is a mathematical framework that specifies the states, observables, and dynamical laws governing quantum systems, enabling the prediction of measurement outcomes and their probabilities.
-
B.
formulation of quantum mechanics
chosen
The formulation of quantum mechanics is the conceptual and mathematical framework that describes physical systems in terms of wavefunctions or state vectors, operators, and probabilistic measurement outcomes, replacing classical deterministic trajectories.
-
C.
perturbative method in quantum mechanics
A perturbative method in quantum mechanics is an approximate technique for solving complex quantum systems by expanding physical quantities in a power series around a solvable reference problem, treating the difference as a small correction.
-
D.
model of irreversibility
A model of irreversibility is a conceptual framework that represents processes or systems whose evolution cannot be exactly reversed, typically due to entropy increase, information loss, or path-dependent dynamics.
-
E.
high-precision measurement
High-precision measurement is the process of quantifying a physical quantity with extremely low uncertainty and high repeatability, often using specialized instruments and rigorous calibration to ensure accurate and reliable results.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:40 p.m.