Triple
T33205710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ketoconazole |
E850010
|
entity |
| Predicate | isStrongInhibitorOf |
P37861
|
FINISHED |
| Object | CYP3A4 |
—
|
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: CYP3A4 | Statement: [ketoconazole, isStrongInhibitorOf, CYP3A4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStrongInhibitorOf Context triple: [ketoconazole, isStrongInhibitorOf, CYP3A4]
-
A.
inhibitedByDrug
Indicates that the activity, function, or effect of one entity is reduced, blocked, or otherwise suppressed due to the action of a specified drug.
-
B.
inhibits
chosen
Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
-
C.
inhibitionEffect
Indicates that one entity reduces, blocks, or suppresses the activity, effect, or occurrence of another entity.
-
D.
inhibitionUse
Indicates that one entity uses or applies an inhibitory effect to reduce, block, or suppress the activity or function of another entity.
-
E.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
- 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_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.