Triple
T5248763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AstraZeneca |
E118527
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object |
Farxiga
Farxiga is a prescription SGLT2 inhibitor medication used primarily to treat type 2 diabetes and reduce the risk of cardiovascular and kidney complications.
|
E505482
|
NE FINISHED |
How this triple was built (4 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: Farxiga | Statement: [AstraZeneca, notableProduct, Farxiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farxiga Context triple: [AstraZeneca, notableProduct, Farxiga]
-
A.
Januvia
Januvia is a prescription medication (sitagliptin) used to help control blood sugar levels in adults with type 2 diabetes.
-
B.
Mounjaro
Mounjaro is a prescription medication (tirzepatide) used primarily to improve blood sugar control in adults with type 2 diabetes and increasingly known for its weight-loss effects.
-
C.
Trulicity
Trulicity is a prescription GLP-1 receptor agonist medication used to improve blood sugar control in adults with type 2 diabetes.
-
D.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
E.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Farxiga Triple: [AstraZeneca, notableProduct, Farxiga]
Generated description
Farxiga is a prescription SGLT2 inhibitor medication used primarily to treat type 2 diabetes and reduce the risk of cardiovascular and kidney complications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farxiga Target entity description: Farxiga is a prescription SGLT2 inhibitor medication used primarily to treat type 2 diabetes and reduce the risk of cardiovascular and kidney complications.
-
A.
Januvia
Januvia is a prescription medication (sitagliptin) used to help control blood sugar levels in adults with type 2 diabetes.
-
B.
Mounjaro
Mounjaro is a prescription medication (tirzepatide) used primarily to improve blood sugar control in adults with type 2 diabetes and increasingly known for its weight-loss effects.
-
C.
Trulicity
Trulicity is a prescription GLP-1 receptor agonist medication used to improve blood sugar control in adults with type 2 diabetes.
-
D.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
E.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
- F. None of above. chosen
Provenance (5 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b787b34819081af96de9355bb4f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef83998f881909fef2746f5c496af |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69befa746be88190a8d807317ab36430 |
completed | March 21, 2026, 8:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befac54e8c8190986aca0f5591d04e |
completed | March 21, 2026, 8:08 p.m. |
Created at: March 20, 2026, 1:50 p.m.