Triple
T7803552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fischer projection |
E180490
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | two-dimensional representation |
C22929
|
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: two-dimensional representation Context triple: [Fischer projection, instanceOf, two-dimensional representation]
-
A.
iconographic representation
An iconographic representation is a visual depiction that uses established symbols, motifs, and stylistic conventions to convey specific meanings, themes, or identities within a cultural or artistic context.
-
B.
rank-2 tensor
A rank-2 tensor is a mathematical object that can be represented as a matrix whose components transform with two indices under a change of basis, generalizing linear maps and bilinear forms in vector spaces.
-
C.
result in representation theory
A result in representation theory is a proven statement describing how algebraic structures, such as groups or algebras, can be represented by linear transformations on vector spaces and how these representations behave or decompose.
-
D.
collective representation
A collective representation is a shared system of symbols, beliefs, and meanings through which a social group understands, interprets, and organizes its reality.
-
E.
representation of Clifford algebra
A representation of a Clifford algebra is a homomorphism from the Clifford algebra to the algebra of linear operators on a vector space, realizing its generators as matrices or operators that satisfy the defining Clifford relations.
- F. None of above. chosen
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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 4:34 p.m.