Triple
T22692323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMN1 |
E561082
|
entity |
| Predicate | mutationTypeAssociatedWithDisease |
P68687
|
FINISHED |
| Object | homozygous deletion |
—
|
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: homozygous deletion | Statement: [SMN1, mutationTypeAssociatedWithDisease, homozygous deletion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mutationTypeAssociatedWithDisease Context triple: [SMN1, mutationTypeAssociatedWithDisease, homozygous deletion]
-
A.
mutationAssociatedWith
chosen
Indicates that a specific genetic mutation is linked or related to another entity, such as a disease, trait, or molecular effect.
-
B.
associatedWithPhenotype
Indicates that an entity has a documented connection or correlation with a particular phenotype or observable trait.
-
C.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
D.
modelForDisease
Indicates that one entity serves as an experimental or representative model used to study, simulate, or understand a particular disease in another entity.
-
E.
associatedDiseaseAgentType
Indicates the type or category of disease-causing agent that is associated with a given disease or 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.