Triple

T19992664
Position Surface form Disambiguated ID Type / Status
Subject APOE ε3 allele E494101 entity
Predicate associatedWithLDLCholesterol P133002 FINISHED
Object intermediate levels 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: intermediate levels | Statement: [APOE ε3 allele, associatedWithLDLCholesterol, intermediate levels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithLDLCholesterol
Context triple: [APOE ε3 allele, associatedWithLDLCholesterol, intermediate levels]
  • A. associatedWithDrug
    Indicates that an entity has a relevant relationship or connection to a specific drug, such as use, exposure, or involvement in its context.
  • B. hasAssociatedDisease
    Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
  • C. associatedWithPhenotype chosen
    Indicates that an entity has a documented connection or correlation with a particular phenotype or observable trait.
  • D. geneticallyLinkedTo
    Indicates a relationship where two entities share a genetic connection, such as common ancestry, shared genes, or hereditary association.
  • E. deficiencyAssociatedWith
    Indicates an association where a lack or insufficiency of one entity is related to the occurrence, presence, or severity of 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe10ffc81908c94168b0a8ea9c9 completed April 20, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69e537fd311881908448f2aea8b4812e completed April 19, 2026, 8:15 p.m.
Created at: April 11, 2026, 3:31 p.m.