Triple
T36600225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYP2B6 |
E902894
|
entity |
| Predicate | geneticVariationAffects |
P185924
|
FINISHED |
| Object | efavirenz plasma concentration |
—
|
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: efavirenz plasma concentration | Statement: [CYP2B6, geneticVariationAffects, efavirenz plasma concentration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneticVariationAffects Context triple: [CYP2B6, geneticVariationAffects, efavirenz plasma concentration]
-
A.
geneticInfluence
Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
-
B.
geneticOutcome
Indicates the resulting genetic state or trait that arises from a specified genetic event, interaction, or condition.
-
C.
protectiveAlleleForDisease
Indicates that the presence of a specific allele reduces the risk, severity, or likelihood of developing a particular disease.
-
D.
geneticDiversity
Indicates variation in genetic characteristics within or between populations or groups.
-
E.
geneticStatus
Indicates the genetic condition or variant state an entity has in relation to a specific gene or set of genes.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.