Triple
T10610070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rimonabant |
E275982
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | CB1 receptor antagonist |
C28716
|
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: CB1 receptor antagonist Context triple: [rimonabant, instanceOf, CB1 receptor antagonist]
-
A.
cannabinoid receptor
A cannabinoid receptor is a cell-surface G protein–coupled receptor that binds endogenous, plant-derived, or synthetic cannabinoids to modulate processes such as pain perception, appetite, mood, and immune function.
-
B.
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.
-
C.
calcitonin gene-related peptide inhibitor
A calcitonin gene-related peptide inhibitor is a drug that blocks the activity or receptor of CGRP, a neuropeptide involved in migraine and pain signaling, to prevent or reduce migraine attacks.
-
D.
GLP-1 receptor agonist
A GLP-1 receptor agonist is a medication that mimics the incretin hormone GLP-1 to enhance insulin secretion, suppress glucagon, slow gastric emptying, and reduce appetite, primarily for treating type 2 diabetes and supporting weight loss.
-
E.
G protein–coupled receptor
A G protein–coupled receptor is a membrane-spanning protein that detects extracellular signals and activates intracellular G proteins to trigger specific cellular responses.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 7:32 p.m.