Triple
T5689139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARIA-H |
E125385
|
entity |
| Predicate | riskFactor |
P8576
|
FINISHED |
| Object | APOE ε4 allele |
E115305
|
NE 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: APOE ε4 allele | Statement: [ARIA-H, riskFactor, APOE ε4 allele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APOE ε4 allele Context triple: [ARIA-H, riskFactor, APOE ε4 allele]
-
A.
APOE ε4 allele
chosen
The APOE ε4 allele is a genetic variant of the apolipoprotein E gene that significantly increases an individual's susceptibility to late-onset Alzheimer's disease.
-
B.
APOE gene
The APOE gene encodes apolipoprotein E, a key protein in lipid metabolism whose variants, especially ε4, strongly influence risk for Alzheimer’s disease and cardiovascular disorders.
-
C.
APOE ε3 allele
The APOE ε3 allele is the most common and generally considered the “neutral” variant of the apolipoprotein E gene, associated with average risk for Alzheimer’s disease and typical lipid metabolism compared to other APOE alleles.
-
D.
Alzheimer
Alzheimer is a German surname most famously associated with Alois Alzheimer, the neurologist after whom Alzheimer’s disease is named.
-
E.
Alzon
The Alzon is a river in southern France that flows through the Gard department, including the town of Uzès.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e1c6148190aeae7620bd9ee9d4 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a47457c8190bc75f11a7f011a8a |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.