Triple
T25979685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauli–Lubanski pseudovector |
E646032
|
entity |
| Predicate | covarianceProperty |
P103048
|
FINISHED |
| Object | Lorentz covariant |
—
|
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: Lorentz covariant | Statement: [Pauli–Lubanski pseudovector, covarianceProperty, Lorentz covariant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: covarianceProperty Context triple: [Pauli–Lubanski pseudovector, covarianceProperty, Lorentz covariant]
-
A.
hasCovarianceStructure
Indicates that one entity possesses or is associated with a specific covariance structure that characterizes how its variables co-vary.
-
B.
coefficientProperty
Indicates a relationship where one entity serves as a coefficient or scalar factor that quantitatively modifies or characterizes another entity or property.
-
C.
isGenerallyCovariant
chosen
Indicates that the form of the physical laws or equations remains unchanged under arbitrary smooth coordinate transformations (diffeomorphisms).
-
D.
parityProperty
Indicates that a relationship or quantity has a specific parity (such as being even, odd, or matching in parity) according to the defined property.
-
E.
cumulativeProperty
Indicates that a property of a whole is derived by aggregating or summing corresponding properties of its parts or components.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6050e507881909e3bc0c33e8a8c7e |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:54 a.m.