Triple
T33588657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faddeev–Popov ghosts |
E860357
|
entity |
| Predicate | anticommutationProperty |
P62054
|
FINISHED |
| Object | Grassmann-odd |
—
|
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: Grassmann-odd | Statement: [Faddeev–Popov ghosts, anticommutationProperty, Grassmann-odd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anticommutationProperty Context triple: [Faddeev–Popov ghosts, anticommutationProperty, Grassmann-odd]
-
A.
doesNotCommuteWith
Indicates that two operations or elements, when applied in different orders, yield different results and therefore do not commute.
-
B.
hasCommutationRelations
chosen
Indicates that there exist specific commutation relations governing how two operators or elements combine or reorder with respect to each other.
-
C.
bracketIsAntisymmetric
Indicates that the bracket operation changes sign when its two arguments are swapped, so [x, y] = −[y, x].
-
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.
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.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f77626d08190821cdc5a96e621fb |
completed | May 3, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.