Triple
T22717320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fluconazole |
E561768
|
entity |
| Predicate | inhibitsEnzyme |
P37861
|
FINISHED |
| Object | CYP2C9 |
—
|
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: CYP2C9 | Statement: [fluconazole, inhibitsEnzyme, CYP2C9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inhibitsEnzyme Context triple: [fluconazole, inhibitsEnzyme, CYP2C9]
-
A.
inhibits
chosen
Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
-
B.
enzymeType
Indicates the specific class or category of enzyme associated with an entity or reaction.
-
C.
rateLimitingEnzyme
Indicates that the subject functions as the key regulatory enzyme that controls the overall rate of a specific metabolic pathway.
-
D.
isMetabolizedBy
Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
-
E.
enzymeSystem
Indicates a relationship where an entity functions as, or is part of, a specific enzyme system involved in catalyzing biochemical reactions.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ecbc48190926d16b20b674dbd |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:19 p.m.