A10BJ05
E561028
A10BJ05 is the Anatomical Therapeutic Chemical (ATC) classification code assigned to dulaglutide, a GLP-1 receptor agonist used in the treatment of type 2 diabetes.
All labels observed (1)
| Label | Occurrences |
|---|---|
| A10BJ05 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6003363 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A10BJ05 Context triple: [Trulicity, hasATCCode, A10BJ05]
-
A.
A109BA
The A109BA is a Belgian military variant of the Agusta A109 light twin-engine helicopter used primarily for utility, liaison, and training roles.
-
B.
A5103
A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
-
C.
J100
J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
-
D.
A2100
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
E.
A500
A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A10BJ05 Target entity description: A10BJ05 is the Anatomical Therapeutic Chemical (ATC) classification code assigned to dulaglutide, a GLP-1 receptor agonist used in the treatment of type 2 diabetes.
-
A.
A109BA
The A109BA is a Belgian military variant of the Agusta A109 light twin-engine helicopter used primarily for utility, liaison, and training roles.
-
B.
A5103
A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
-
C.
J100
J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
-
D.
A2100
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
E.
A500
A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
ATC code
ⓘ
pharmacologic classification code ⓘ |
| anatomicalMainGroup | A10 (Drugs used in diabetes) ⓘ |
| assignedBy | World Health Organization Collaborating Centre for Drug Statistics Methodology NERFINISHED ⓘ |
| belongsTo | GLP-1 analogues ⓘ |
| chemicalSubstance | dulaglutide NERFINISHED ⓘ |
| classificationLevel | chemical substance level in ATC system ⓘ |
| codeFor | dulaglutide ⓘ |
| drugClass | GLP-1 receptor agonist ⓘ |
| fifthCharacterMeaning | J = GLP-1 analogues ⓘ |
| firstCharacterMeaning | A = Alimentary tract and metabolism ⓘ |
| fourthCharacterMeaning | B = Blood glucose lowering drugs, excl. insulins ⓘ |
| indicatesTherapeuticUse | treatment of type 2 diabetes mellitus ⓘ |
| partOfSystem | Anatomical Therapeutic Chemical classification system NERFINISHED ⓘ |
| pharmacologicalSubgroup | A10BJ (Glucagon-like peptide-1 (GLP-1) analogues) ⓘ |
| relatedDrug |
albiglutide
ⓘ
exenatide ⓘ liraglutide ⓘ lixisenatide NERFINISHED ⓘ semaglutide ⓘ |
| routeOfAdministration | subcutaneous use ⓘ |
| secondAndThirdCharactersMeaning | 10 = Drugs used in diabetes ⓘ |
| sixthAndSeventhCharactersMeaning | 05 = dulaglutide ⓘ |
| therapeuticSubgroup | A10B (Blood glucose lowering drugs, excl. insulins) ⓘ |
| usedIn | glycemic control in adults with type 2 diabetes ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: A10BJ05 Description of subject: A10BJ05 is the Anatomical Therapeutic Chemical (ATC) classification code assigned to dulaglutide, a GLP-1 receptor agonist used in the treatment of type 2 diabetes.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.