Triple

T36659916
Position Surface form Disambiguated ID Type / Status
Subject CYP3A5 E905090 entity
Predicate isClinicallyRelevantFor P152334 FINISHED
Object pharmacogenomics 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: pharmacogenomics | Statement: [CYP3A5, isClinicallyRelevantFor, pharmacogenomics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isClinicallyRelevantFor
Context triple: [CYP3A5, isClinicallyRelevantFor, pharmacogenomics]
  • A. hasClinicalSignificance
    Indicates that something (such as a finding, variant, or condition) has a meaningful impact or relevance in a clinical or medical context.
  • B. isMedicallyRelevant chosen
    Indicates that something has significance, impact, or applicability within a medical or clinical context.
  • C. hasClinicalBase
    Indicates that one entity serves as the clinical foundation, setting, or primary site upon which another entity (such as a study, program, or service) is based or conducted.
  • D. hasDiagnosticCriterion
    Indicates that a specific diagnostic criterion is used to define, identify, or determine the presence of a particular condition, disorder, or classification.
  • E. hasClinicalAssessment
    Indicates that a subject is associated with, or has undergone, a specific clinical assessment or evaluation.
  • 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_69f76e6e3b908190970251b30f76ad71 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c77b118881908cad488643e61e8a completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c4796ebc819084a0dc08505e5f14 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:11 p.m.