Triple
T36706800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monod–Wyman–Changeux model |
E906381
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theoretical model of protein regulation |
C324
|
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: theoretical model of protein regulation Context triple: [Monod–Wyman–Changeux model, instanceOf, theoretical model of protein regulation]
-
A.
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.
-
B.
mathematical model in molecular evolution
A mathematical model in molecular evolution is a formal, quantitative framework that describes and predicts how genetic sequences change over time under processes such as mutation, selection, recombination, and genetic drift.
-
C.
gene regulatory protein
A gene regulatory protein is a molecule, typically a transcription factor, that binds specific DNA sequences or associated factors to control the timing, location, and level of gene expression.
-
D.
theoretical model
chosen
A theoretical model is an abstract, simplified representation of a system or phenomenon used to explain, predict, or understand its behavior based on underlying principles and assumptions.
-
E.
model in complex systems
A model in complex systems is a simplified, often computational or mathematical representation of interacting components whose collective behavior exhibits emergent, nonlinear, and adaptive dynamics that cannot be easily inferred from the properties of individual parts.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.