Triple
T20301216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farxiga |
E505482
|
entity |
| Predicate | FDAApprovalStatus |
P24602
|
FINISHED |
| Object | approved |
—
|
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: approved | Statement: [Farxiga, FDAApprovalStatus, approved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FDAApprovalStatus Context triple: [Farxiga, FDAApprovalStatus, approved]
-
A.
FDAApprovalType
Indicates the specific regulatory pathway or category under which a product has been approved by the U.S. Food and Drug Administration.
-
B.
hasRegulatoryApproval
chosen
Indicates that an entity has received formal authorization or clearance from a relevant regulatory authority to operate, be sold, or be used in a specified context.
-
C.
FDAApplicationNumber
Indicates the unique application identifier assigned by the U.S. Food and Drug Administration (FDA) to a specific product submission or regulatory filing.
-
D.
isFirstDrugApprovedFor
Indicates that a drug is the earliest or original medication approved for treating a particular condition, disease, or indication.
-
E.
USFDAEUAInitialDate
Indicates the date on which the U.S. FDA first granted Emergency Use Authorization (EUA) for the associated product or intervention.
- F. None of above.
Provenance (3 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770c700c81909da247cef0d0f1eb |
completed | April 20, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:17 a.m.