Triple
T16852111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veklury |
E409698
|
entity |
| Predicate | regimenCharacteristic |
P125219
|
FINISHED |
| Object | fixed-duration course |
—
|
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: fixed-duration course | Statement: [Veklury, regimenCharacteristic, fixed-duration course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regimenCharacteristic Context triple: [Veklury, regimenCharacteristic, fixed-duration course]
-
A.
regimenDependsOn
Indicates that the applicability or outcome of a regimen is contingent upon another specified factor, condition, or regimen.
-
B.
doseRegimen
Indicates the specific schedule, frequency, and amount with which a dose of a substance or medication is to be administered.
-
C.
controlRegimen
Indicates that an entity is responsible for directing, managing, or governing a particular regimen, protocol, or set of prescribed procedures.
-
D.
hasDosingRegimen
Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
-
E.
regulationCharacteristic
Indicates that one entity specifies, defines, or constrains a particular characteristic or property of another through a rule, standard, or regulatory condition.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.