Triple
T36706798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monod–Wyman–Changeux model |
E906381
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | allosteric model |
C63737
|
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: allosteric model Context triple: [Monod–Wyman–Changeux model, instanceOf, allosteric model]
-
A.
sigma model
A sigma model is a quantum field theory in which fields map spacetime into a target manifold, with dynamics governed by the geometry of that manifold.
-
B.
heterotrimeric G protein
A heterotrimeric G protein is a membrane-associated signaling protein complex composed of three distinct subunits (α, β, and γ) that transduces signals from activated G protein–coupled receptors to intracellular effector pathways by cycling between GDP-bound inactive and GTP-bound active states.
-
C.
model for hydrogen-bond patterns
A model for hydrogen-bond patterns represents and predicts the spatial arrangement, directionality, and connectivity of hydrogen bonds within or between molecules.
-
D.
multi-subunit enzyme complex
A multi-subunit enzyme complex is a functional assembly of two or more distinct protein subunits that work together to catalyze biochemical reactions, often enabling regulation, substrate channeling, or enhanced catalytic efficiency.
-
E.
G protein alpha subunit family
The G protein alpha subunit family comprises the guanine nucleotide-binding protein α subunits that couple cell surface receptors to intracellular signaling pathways by cycling between inactive GDP-bound and active GTP-bound states.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.