Triple
T7600732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauli matrices |
E179974
|
entity |
| Predicate | anticommutationRelation |
P62054
|
FINISHED |
| Object | {σ_i, σ_j} = 2 δ_ij I |
—
|
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: {σ_i, σ_j} = 2 δ_ij I | Statement: [Pauli matrices, anticommutationRelation, {σ_i, σ_j} = 2 δ_ij I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anticommutationRelation
Context triple: [Pauli matrices, anticommutationRelation, {σ_i, σ_j} = 2 δ_ij I]
-
A.
hasCommutationRelations
chosen
Indicates that there exist specific commutation relations governing how two operators or elements combine or reorder with respect to each other.
-
B.
bracketIsAntisymmetric
Indicates that the bracket operation changes sign when its two arguments are swapped, so [x, y] = −[y, x].
-
C.
commutation
Indicates the legal action of reducing, altering, or substituting a previously imposed penalty or obligation, typically making it less severe while preserving the underlying judgment or relationship.
-
D.
isCommutative
Indicates that the result of applying an operation to two entities does not depend on their order (i.e., a ∘ b = b ∘ a).
-
E.
orthonormalityRelation
Indicates that a set of vectors are mutually orthogonal and each has unit length with respect to a given inner product.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d9c55c8190841f3bf3225c096a |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.