Triple
T22516362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | voriconazole |
E556657
|
entity |
| Predicate | hasPharmacokineticsProperty |
P36738
|
FINISHED |
| Object | nonlinear pharmacokinetics |
—
|
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: nonlinear pharmacokinetics | Statement: [voriconazole, hasPharmacokineticsProperty, nonlinear pharmacokinetics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPharmacokineticsProperty Context triple: [voriconazole, hasPharmacokineticsProperty, nonlinear pharmacokinetics]
-
A.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
B.
hasBioavailability
Indicates that a substance has a specified degree or measure of bioavailability, i.e., the proportion that enters circulation and can have an active effect.
-
C.
hasDrugBankID
Indicates that an entity is associated with a specific identifier from the DrugBank database.
-
D.
targetSubstanceProperty
chosen
Indicates that a particular property or characteristic is being ascribed to, measured for, or associated with a specified target substance.
-
E.
hasPharmacologicClass
Indicates that a drug or medicinal product belongs to a specific pharmacologic class based on its mechanism of action or therapeutic effect.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.