Triple
T10291840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-glycoprotein |
E241382
|
entity |
| Predicate | geneticVariationEffect |
P35225
|
FINISHED |
| Object | polymorphisms can alter expression or function |
—
|
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: polymorphisms can alter expression or function | Statement: [P-glycoprotein, geneticVariationEffect, polymorphisms can alter expression or function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneticVariationEffect Context triple: [P-glycoprotein, geneticVariationEffect, polymorphisms can alter expression or function]
-
A.
geneticInfluence
Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
-
B.
geneticDiversity
chosen
Indicates variation in genetic characteristics within or between populations or groups.
-
C.
geneticStatus
Indicates the genetic condition or variant state an entity has in relation to a specific gene or set of genes.
-
D.
geneticOrigin
Indicates that one entity is the source or contributor of another entity’s genetic material or hereditary traits.
-
E.
geneticAffinity
Indicates a relationship where entities share a notable degree of genetic similarity or relatedness.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:42 a.m.