AstraZeneca
E118527
AstraZeneca is a global biopharmaceutical company known for researching, developing, and manufacturing prescription medicines across areas such as oncology, cardiovascular, respiratory, and immunology.
All labels observed (10)
| Label | Occurrences |
|---|---|
| AstraZeneca canonical | 40 |
| AstraZeneca plc | 5 |
| Zeneca Group plc | 2 |
| AstraZeneca R&D Mölndal | 1 |
| AstraZeneca R&D site | 1 |
| AstraZeneca Rare Disease | 1 |
| AstraZeneca Sweden operations | 1 |
| AstraZeneca biologics division | 1 |
| Zeneca Group | 1 |
| merged to form AstraZeneca | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1000327 — 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: AstraZeneca Context triple: [Södertälje Municipality, hasMajorEmployer, AstraZeneca]
-
A.
GlaxoSmithKline
GlaxoSmithKline is a global biopharmaceutical company known for developing and manufacturing prescription medicines, vaccines, and consumer healthcare products.
-
B.
Pfizer
Pfizer is a major American multinational pharmaceutical and biotechnology corporation known for developing a wide range of prescription medicines and vaccines, including one of the first widely used COVID-19 vaccines.
-
C.
Eisai
Eisai is a Japanese pharmaceutical company known for developing treatments in neurology and oncology, including Alzheimer’s disease therapies.
-
D.
Roche
Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
-
E.
Merck & Co.
Merck & Co. is a major American pharmaceutical company known for developing and producing vaccines, oncology drugs, and other innovative medicines.
- 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: AstraZeneca Target entity description: AstraZeneca is a global biopharmaceutical company known for researching, developing, and manufacturing prescription medicines across areas such as oncology, cardiovascular, respiratory, and immunology.
-
A.
GlaxoSmithKline
GlaxoSmithKline is a global biopharmaceutical company known for developing and manufacturing prescription medicines, vaccines, and consumer healthcare products.
-
B.
Pfizer
Pfizer is a major American multinational pharmaceutical and biotechnology corporation known for developing a wide range of prescription medicines and vaccines, including one of the first widely used COVID-19 vaccines.
-
C.
Eisai
Eisai is a Japanese pharmaceutical company known for developing treatments in neurology and oncology, including Alzheimer’s disease therapies.
-
D.
Roche
Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
-
E.
Merck & Co.
Merck & Co. is a major American pharmaceutical company known for developing and producing vaccines, oncology drugs, and other innovative medicines.
- F. None of above. chosen
Statements (52)
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: AstraZeneca Description of subject: AstraZeneca is a global biopharmaceutical company known for researching, developing, and manufacturing prescription medicines across areas such as oncology, cardiovascular, respiratory, and immunology.
Referenced by (54)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: AstraZeneca
subject linked to:
Södertälje, Sweden
linked to: AstraZeneca
subject linked to:
Molndal
linked to: AstraZeneca
linked to: AstraZeneca
linked to: AstraZeneca
linked to: AstraZeneca
linked to: AstraZeneca
subject linked to:
AZN
linked to: AstraZeneca
linked to: AstraZeneca
linked to: AstraZeneca
linked to: AstraZeneca
linked to: AstraZeneca
linked to: AstraZeneca