Triple

T33205876
Position Surface form Disambiguated ID Type / Status
Subject clarithromycin E850012 entity
Predicate hasDrugInteractionType P176408 FINISHED
Object increases plasma concentrations of CYP3A4 substrates 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: increases plasma concentrations of CYP3A4 substrates | Statement: [clarithromycin, hasDrugInteractionType, increases plasma concentrations of CYP3A4 substrates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDrugInteractionType
Context triple: [clarithromycin, hasDrugInteractionType, increases plasma concentrations of CYP3A4 substrates]
  • A. hasCommonDrugInteraction
    Indicates that two drugs share at least one known interaction that may affect their safety or effectiveness when used together.
  • B. hasDrugInteractionMechanism chosen
    Indicates that one substance affects another through a specific biological, chemical, or pharmacological mechanism that alters its drug action or effects.
  • C. associatedWithDrug
    Indicates that an entity has a relevant relationship or connection to a specific drug, such as use, exposure, or involvement in its context.
  • D. hasContraindication
    Indicates that one entity (such as a treatment, drug, or procedure) should not be used or performed in the presence of another entity (such as a condition, factor, or co-medication) because it may cause harm or adverse effects.
  • E. hasInteractionEffects
    Indicates that one entity’s presence, action, or state alters, influences, or modifies the behavior, effect, or outcome associated with another entity.
  • 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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6f38159d08190980ad639e08f00f4 completed May 3, 2026, 7:04 a.m.
PD Predicate disambiguation batch_69f6e3d7bee48190b94e0beb48a1d7fa completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:30 a.m.