Triple
T34091795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2 muscarinic acetylcholine receptor |
E874316
|
entity |
| Predicate | pharmacologicalProfile |
P178222
|
FINISHED |
| Object | prefers Gi/Go coupling over Gq/11 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: prefers Gi/Go coupling over Gq/11 | Statement: [M2 muscarinic acetylcholine receptor, pharmacologicalProfile, prefers Gi/Go coupling over Gq/11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pharmacologicalProfile Context triple: [M2 muscarinic acetylcholine receptor, pharmacologicalProfile, prefers Gi/Go coupling over Gq/11]
-
A.
featuresDrug
Indicates that something (such as a product, treatment, or context) includes, involves, or prominently uses a particular drug.
-
B.
pharmacologicalInterest
Indicates a relationship where one entity has a pharmacological interest in another, such as studying, targeting, or using it for drug-related purposes.
-
C.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
D.
hasPharmacologicClass
Indicates that a drug or medicinal product belongs to a specific pharmacologic class based on its mechanism of action or therapeutic effect.
-
E.
hasDrugBankID
Indicates that an entity is associated with a specific identifier from the DrugBank database.
- F. None of above. chosen
Provenance (4 batches)
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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:52 a.m.