Triple

T32195879
Position Surface form Disambiguated ID Type / Status
Subject chronic lymphocytic leukemia E822402 entity
Predicate associatedWithGeneMutation P68687 FINISHED
Object TP53 mutation 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: TP53 mutation | Statement: [chronic lymphocytic leukemia, associatedWithGeneMutation, TP53 mutation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithGeneMutation
Context triple: [chronic lymphocytic leukemia, associatedWithGeneMutation, TP53 mutation]
  • A. associatedWithPhenotype
    Indicates that an entity has a documented connection or correlation with a particular phenotype or observable trait.
  • B. mutationAssociatedWith chosen
    Indicates that a specific genetic mutation is linked or related to another entity, such as a disease, trait, or molecular effect.
  • C. genomicAlteration
    Indicates a relationship where an entity has undergone a change or mutation in its genetic material compared to a reference genome.
  • D. geneticallyLinkedTo
    Indicates a relationship where two entities share a genetic connection, such as common ancestry, shared genes, or hereditary association.
  • 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.

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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379eaa540819095a1c5d9f3513f9b completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 12:35 a.m.