Triple
T10292040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | apixaban |
E241386
|
entity |
| Predicate | metabolizedBy |
P37221
|
FINISHED |
| Object | CYP3A4 |
E242412
|
NE 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: [apixaban, metabolizedBy, CYP3A4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CYP3A4 Context triple: [apixaban, metabolizedBy, CYP3A4]
-
A.
CYP3A4
chosen
CYP3A4 is a major human liver and intestinal enzyme of the cytochrome P450 family responsible for metabolizing a wide range of drugs and xenobiotics.
-
B.
CYP1A2
CYP1A2 is a liver enzyme of the cytochrome P450 family that plays a key role in the metabolism of various drugs and xenobiotics.
-
C.
CYP2C19
CYP2C19 is a liver enzyme of the cytochrome P450 family that plays a key role in the metabolism of various drugs, including certain antidepressants, proton pump inhibitors, and antiplatelet agents.
-
D.
CYP2C9
CYP2C9 is a liver enzyme of the cytochrome P450 family that plays a key role in metabolizing various drugs, including many nonsteroidal anti-inflammatory agents and anticoagulants.
-
E.
CYP2D6
CYP2D6 is a highly polymorphic cytochrome P450 enzyme that plays a major role in the metabolism of many drugs, contributing significantly to interindividual variability in drug response.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d35f048190a215493acdf1f718 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1465e88190aaa8b295df3f9c8c |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:42 a.m.