Triple

T19992660
Position Surface form Disambiguated ID Type / Status
Subject APOE ε3 allele E494101 entity
Predicate consideredClinicalEffectOnAlzheimersDisease P47123 FINISHED
Object neutral 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: neutral | Statement: [APOE ε3 allele, consideredClinicalEffectOnAlzheimersDisease, neutral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consideredClinicalEffectOnAlzheimersDisease
Context triple: [APOE ε3 allele, consideredClinicalEffectOnAlzheimersDisease, neutral]
  • A. hasPharmacologicalEffect
    Indicates that one entity produces a specific pharmacological effect or action on another entity.
  • B. isNeuroprotective
    Indicates that one entity confers protection to another entity’s nervous system or neural structures, helping to prevent or reduce neural damage or degeneration.
  • C. hasClinicalSignificance chosen
    Indicates that something (such as a finding, variant, or condition) has a meaningful impact or relevance in a clinical or medical context.
  • D. hasCommonAdverseEffect
    Indicates that two or more entities share at least one adverse effect that occurs in response to them.
  • E. potentialTherapeuticUse
    Indicates that something is being considered or investigated as a possible treatment or therapy for a condition or 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_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.