Triple
T24811044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mueller matrix |
E620787
|
entity |
| Predicate | representsTransformationOf |
P86342
|
FINISHED |
| Object | Stokes parameters |
—
|
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: Stokes parameters | Statement: [Mueller matrix, representsTransformationOf, Stokes parameters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsTransformationOf Context triple: [Mueller matrix, representsTransformationOf, Stokes parameters]
-
A.
transformationRelation
chosen
Indicates a relationship where one entity is changed, converted, or transformed into another entity or state.
-
B.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
C.
representsInRelationsWith
Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
-
D.
includesTransformation
Indicates that one entity’s process, definition, or composition contains or involves a transformation applied to another entity.
-
E.
hasRepresentationFrom
Indicates that something serves as a representation, depiction, or encoding that originates from or is derived from 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 18, 2026, 4:50 a.m.