Triple
T33205820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | itraconazole |
E850011
|
entity |
| Predicate | increasesPlasmaLevelsOf |
P7907
|
FINISHED |
| Object | many CYP3A4 substrates |
—
|
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: many CYP3A4 substrates | Statement: [itraconazole, increasesPlasmaLevelsOf, many CYP3A4 substrates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasesPlasmaLevelsOf Context triple: [itraconazole, increasesPlasmaLevelsOf, many CYP3A4 substrates]
-
A.
mayReducePlasmaConcentrationOf
Indicates that one substance or factor can lower the level of another substance present in the blood plasma.
-
B.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
C.
modifiesPharmacokineticsOf
Indicates that one entity alters the absorption, distribution, metabolism, or excretion characteristics of another entity.
-
D.
increases
chosen
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
E.
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.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:30 a.m.