Triple

T22692336
Position Surface form Disambiguated ID Type / Status
Subject SMN1 E561082 entity
Predicate clinicalSignificanceOfVariants P149303 FINISHED
Object pathogenic 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: pathogenic | Statement: [SMN1, clinicalSignificanceOfVariants, pathogenic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clinicalSignificanceOfVariants
Context triple: [SMN1, clinicalSignificanceOfVariants, pathogenic]
  • A. riskAlleleForDisease
    Indicates that a specific allele is associated with an increased risk of developing a particular disease.
  • B. hasPharmacogenomicAssociation
    Indicates that there is a documented relationship between a genetic variant and a drug’s response, efficacy, or toxicity.
  • C. associatedWithPhenotype
    Indicates that an entity has a documented connection or correlation with a particular phenotype or observable trait.
  • D. genomicAlteration
    Indicates a relationship where an entity has undergone a change or mutation in its genetic material compared to a reference genome.
  • E. protectiveAlleleForDisease
    Indicates that the presence of a specific allele reduces the risk, severity, or likelihood of developing a particular disease.
  • F. None of above. chosen

Provenance (4 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789ba0148190891781d05ec64f3c completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62b2259c819091ed1387a748b9f3 completed April 26, 2026, 7:08 p.m.
PDg Predicate description generation batch_69ee8843d3308190b6e22bb98ae5c3d8 completed April 26, 2026, 9:48 p.m.
Created at: April 17, 2026, 3:13 p.m.