Triple
T31690871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOND |
E808786
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | modified dynamics theory |
C47484
|
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: modified dynamics theory Context triple: [MOND, instanceOf, modified dynamics theory]
-
A.
phase-based theory
A phase-based theory is a conceptual framework that explains a process or phenomenon as unfolding through a sequence of distinct, qualitatively different stages or phases, each governed by its own characteristic principles or dynamics.
-
B.
theory of dynamical systems
The theory of dynamical systems studies how points in a mathematical space evolve over time under repeated application of rules or equations, revealing patterns such as stability, chaos, and long-term behavior.
-
C.
nonlinear dynamical system
A nonlinear dynamical system is a system whose evolution over time is governed by equations in which the change of state depends on the current state in a nonlinear way, often leading to complex behaviors such as bifurcations and chaos.
-
D.
nonlocal theory
chosen
A nonlocal theory is a conceptual framework in which interactions or correlations between entities are not confined to adjacent points in space-time, allowing influences to occur instantaneously or over finite distances without a mediating local process.
-
E.
mean-field theory
Mean-field theory is an approximate method in statistical physics and related fields that replaces the complex interactions of many components with an average or "mean" effect, allowing tractable analysis of collective behavior.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:08 p.m.