Triple

T10291822
Position Surface form Disambiguated ID Type / Status
Subject P-glycoprotein E241382 entity
Predicate affectsPharmacokineticsProcess P37860 FINISHED
Object drug absorption 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: drug absorption | Statement: [P-glycoprotein, affectsPharmacokineticsProcess, drug absorption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affectsPharmacokineticsProcess
Context triple: [P-glycoprotein, affectsPharmacokineticsProcess, drug absorption]
  • A. hasPharmacologicalEffect
    Indicates that one entity produces a specific pharmacological effect or action on another entity.
  • B. isMetabolizedPrimarilyIn
    Indicates that the substance undergoes its main metabolic processing within the specified biological system or organ.
  • C. 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.
  • D. 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.
  • E. affectsBiologicalProcess chosen
    Indicates a relationship where one entity produces a change or influence on a biological process of another entity or 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_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.