Triple
T31535179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | alpha-synuclein |
E804584
|
entity |
| Predicate | structureProperty |
P171932
|
FINISHED |
| Object | intrinsically disordered in solution |
—
|
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: intrinsically disordered in solution | Statement: [alpha-synuclein, structureProperty, intrinsically disordered in solution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureProperty Context triple: [alpha-synuclein, structureProperty, intrinsically disordered in solution]
-
A.
semanticProperty
Indicates that one entity has a meaning-related attribute, feature, or characteristic with respect to another entity or concept.
-
B.
propertiesType
Indicates that one entity is classified as a specific type or category of properties associated with another entity.
-
C.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of another entity.
-
D.
architectureProperty
Indicates that a specified architectural characteristic or feature is attributed to, or associated with, an entity.
-
E.
basisProperty
Indicates that one property serves as the foundational or defining basis for another property or characteristic.
- F. None of above. chosen
Provenance (4 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_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:03 p.m.