Triple
T31535195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | alpha-synuclein |
E804584
|
entity |
| Predicate | inclusionBodyComponentOf |
P69124
|
FINISHED |
| Object | Lewy bodies |
—
|
NE NERFINISHED |
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: Lewy bodies | Statement: [alpha-synuclein, inclusionBodyComponentOf, Lewy bodies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inclusionBodyComponentOf Context triple: [alpha-synuclein, inclusionBodyComponentOf, Lewy bodies]
-
A.
isAComponentOf
chosen
Indicates that one entity functions as a constituent part or sub-unit of another, larger entity.
-
B.
belongsToBody
Indicates that something is a part of, or under the ownership/authority of, a particular body or organization.
-
C.
isPartOfBody
Indicates that something forms a physical component or anatomical segment of a living body.
-
D.
associatedBody
Indicates a relationship where one entity is linked or connected to another entity as its related or corresponding body.
-
E.
containedPartOf
Indicates that one entity is physically or logically included within and forms a part of another entity.
- 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_6a0144c75aec81908bdd9e88f2af737a |
completed | May 11, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_6a014405a2d48190a1d58b0b907ad696 |
completed | May 11, 2026, 2:50 a.m. |
Created at: April 30, 2026, 10:03 p.m.