Triple
T31535172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | alpha-synuclein |
E804584
|
entity |
| Predicate | pathologicalFeature |
P22707
|
FINISHED |
| Object | forms Lewy bodies |
—
|
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: forms Lewy bodies | Statement: [alpha-synuclein, pathologicalFeature, forms Lewy bodies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pathologicalFeature Context triple: [alpha-synuclein, pathologicalFeature, forms Lewy bodies]
-
A.
pathologyFeature
chosen
Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
-
B.
pathogenicMechanism
Indicates the specific biological process or mechanism through which an agent causes disease or pathological effects in a host.
-
C.
targetsPathophysiology
Indicates that an intervention, agent, or process is specifically directed at modifying or influencing a particular disease mechanism or pathological process.
-
D.
featuresDisease
Indicates that an entity exhibits, presents, or is characterized by a particular disease.
-
E.
pathogenicMember
Indicates that an entity is a member of a group or set that is characterized as pathogenic (capable of causing 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:03 p.m.