Triple
T34761234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NK model of fitness landscapes |
E1002070
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | model in complex systems |
C62102
|
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 in complex systems Context triple: [NK model of fitness landscapes, instanceOf, model in complex systems]
-
A.
state-based system model
A state-based system model represents a system in terms of a finite set of states, the events or conditions that trigger transitions between those states, and the rules governing how the system evolves over time.
-
B.
systems theory approach
A systems theory approach views phenomena as interconnected components within a larger whole, emphasizing relationships, feedback loops, and emergent behavior rather than isolated parts.
-
C.
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.
-
D.
system of systems
A system of systems is a collection of independent, interoperable systems that collaborate to achieve capabilities and objectives that none of the individual systems could accomplish alone.
-
E.
qualitative rule in gene regulatory network theory
A qualitative rule in gene regulatory network theory is a logical, often discrete, relationship that specifies how the activity state of one or more genes or regulatory elements determines the activation, repression, or maintenance of another gene’s expression without relying on precise quantitative parameters.
- F. None of above. chosen
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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.