Triple
T22871266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYP2C9 |
E567200
|
entity |
| Predicate | substrateSpecificity |
P150059
|
FINISHED |
| Object | small lipophilic molecules |
—
|
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: small lipophilic molecules | Statement: [CYP2C9, substrateSpecificity, small lipophilic molecules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: substrateSpecificity Context triple: [CYP2C9, substrateSpecificity, small lipophilic molecules]
-
A.
substrateAffinity
Indicates the degree to which one entity tends to bind to, interact with, or preferentially act upon a particular substrate.
-
B.
enzymeType
Indicates the specific class or category of enzyme associated with an entity or reaction.
-
C.
substratePreference
Indicates a relationship where an entity tends to occur on, grow in, or utilize a particular physical material or medium as its preferred substrate.
-
D.
enzymeSystem
Indicates a relationship where an entity functions as, or is part of, a specific enzyme system involved in catalyzing biochemical reactions.
-
E.
isSubstrateOf
Indicates that one entity serves as the material or reactant upon which another entity (typically an enzyme or process) acts in a chemical or biochemical reaction.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:38 p.m.