Triple
T11698256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CB2 receptor |
E278052
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | G protein-coupled receptor |
C11019
|
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: G protein-coupled receptor Context triple: [CB2 receptor, instanceOf, G protein-coupled receptor]
-
A.
G protein–coupled receptor
chosen
A G protein–coupled receptor is a membrane-spanning protein that detects extracellular signals and activates intracellular G proteins to trigger specific cellular responses.
-
B.
transmembrane receptor
A transmembrane receptor is a membrane-spanning protein that detects extracellular signals and transduces them into specific intracellular responses.
-
C.
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.
-
D.
GIP receptor agonist
A GIP receptor agonist is a compound that binds to and activates the glucose-dependent insulinotropic polypeptide (GIP) receptor, enhancing insulin secretion and improving glucose regulation.
-
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.
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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:40 p.m.