Triple
T4597270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kronecker delta |
E100234
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | concept in linear algebra |
C937
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: concept in linear algebra Context triple: [Kronecker delta, instanceOf, concept in linear algebra]
-
A.
vector space
A vector space is a set of objects called vectors, equipped with operations of vector addition and scalar multiplication that satisfy specific axioms such as associativity, commutativity, distributivity, and the existence of additive identities and inverses.
-
B.
concept
chosen
A concept is an abstract idea or mental representation that groups together related objects, events, or qualities based on shared characteristics.
-
C.
concept in classical electromagnetism
A concept in classical electromagnetism represents a fundamental idea or quantity—such as electric field, magnetic flux, or charge—that describes how electric and magnetic phenomena are generated, interact, and propagate in space and time.
-
D.
inner product space
An inner product space is a vector space equipped with an inner product, a function that assigns a scalar to each pair of vectors in a way that generalizes the dot product and induces notions of length and angle.
-
E.
quantum mechanical concept
A quantum mechanical concept is an abstract idea or principle that describes the behavior, properties, or interactions of physical systems at atomic and subatomic scales, where phenomena are governed by the rules of quantum theory rather than classical physics.
- F. None of above.
Provenance (1 batch)
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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:11 p.m.