Triple
T23235081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casimir operator |
E581262
|
entity |
| Predicate | eigenvalueDependsOn |
P151479
|
FINISHED |
| Object | highest weight of the representation |
—
|
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: highest weight of the representation | Statement: [Casimir operator, eigenvalueDependsOn, highest weight of the representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eigenvalueDependsOn Context triple: [Casimir operator, eigenvalueDependsOn, highest weight of the representation]
-
A.
hasEigenvalues
Indicates that a linear operator or matrix possesses one or more eigenvalues associated with its action on a vector space.
-
B.
areEigenfunctionsOf
Indicates that certain functions serve as eigenfunctions corresponding to a specified operator or transformation.
-
C.
eigenvaluesCorrespondTo
Indicates that the eigenvalues are associated in a defined way with another mathematical object or set, such as arising from or matching the spectrum of that object.
-
D.
eigenvalueStatistics
Indicates that one entity characterizes or provides information about the distribution or behavior of the eigenvalues associated with another entity.
-
E.
eigenvectorsCorrespondTo
Indicates that one set of eigenvectors is associated with, or corresponds in a defined way to, another set of eigenvectors (typically via a shared transformation, matrix, or mapping).
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e8c7548190b53434eeb2620a6e |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:09 p.m.