Triple
T33291762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pgp |
E852336
|
entity |
| Predicate | affectsPharmacokineticsOf |
P176186
|
FINISHED |
| Object | many clinically used drugs |
—
|
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: many clinically used drugs | Statement: [Pgp, affectsPharmacokineticsOf, many clinically used drugs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsPharmacokineticsOf Context triple: [Pgp, affectsPharmacokineticsOf, many clinically used drugs]
-
A.
modifiesPharmacokineticsOf
chosen
Indicates that one entity alters the absorption, distribution, metabolism, or excretion characteristics of another entity.
-
B.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
C.
hasBioavailability
Indicates that a substance has a specified degree or measure of bioavailability, i.e., the proportion that enters circulation and can have an active effect.
-
D.
pharmacologicalProfile
Indicates the relationship between a substance and the set of its pharmacological properties, including mechanisms of action, effects, and interactions in a biological system.
-
E.
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.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: May 1, 2026, 1:32 a.m.