Triple
T19992627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APOE gene |
E494100
|
entity |
| Predicate | APOEε4AssociatedWith |
P133002
|
FINISHED |
| Object | increased risk of Alzheimer’s disease |
—
|
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: increased risk of Alzheimer’s disease | Statement: [APOE gene, APOEε4AssociatedWith, increased risk of Alzheimer’s disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: APOEε4AssociatedWith Context triple: [APOE gene, APOEε4AssociatedWith, increased risk of Alzheimer’s disease]
-
A.
associatedWithPhenotype
chosen
Indicates that an entity has a documented connection or correlation with a particular phenotype or observable trait.
-
B.
geneticAffinity
Indicates a relationship where entities share a notable degree of genetic similarity or relatedness.
-
C.
hasPharmacogenomicAssociation
Indicates that there is a documented relationship between a genetic variant and a drug’s response, efficacy, or toxicity.
-
D.
hereditaryAssociation
Indicates a relationship in which a trait, condition, or characteristic is passed from ancestors to descendants through genetic inheritance.
-
E.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
- 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.