Triple
T2033073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parkinson's disease |
E44560
|
entity |
| Predicate | hasGeneticAssociation |
P34447
|
FINISHED |
| Object | SNCA gene mutations |
—
|
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: SNCA gene mutations | Statement: [Parkinson's disease, hasGeneticAssociation, SNCA gene mutations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeneticAssociation Context triple: [Parkinson's disease, hasGeneticAssociation, SNCA gene mutations]
-
A.
geneticAffinity
Indicates a relationship where entities share a notable degree of genetic similarity or relatedness.
-
B.
geneticStatus
chosen
Indicates the genetic condition or variant state an entity has in relation to a specific gene or set of genes.
-
C.
geneticInfluence
Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
-
D.
requiresGeneticConsideration
Indicates that the subject involves or depends on genetic factors that must be taken into account in decision-making, analysis, or management.
-
E.
geneticRelation
Indicates that two entities are connected through a hereditary or familial genetic relationship.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb93255248190bd47a54a7b3c7447 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.