Triple
T20542266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirac current |
E504368
|
entity |
| Predicate | isLorentzCovariant |
P140479
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dirac current, isLorentzCovariant, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLorentzCovariant Context triple: [Dirac current, isLorentzCovariant, true]
-
A.
isLorentz
Indicates that a transformation preserves the Lorentzian spacetime interval, i.e., it is a valid Lorentz transformation between inertial reference frames.
-
B.
isChiralInStandardModel
Indicates that the entity’s behavior or interaction in the Standard Model depends on its handedness (left- or right-handed), i.e., it is not invariant under parity transformation.
-
C.
isCoordinateFree
Indicates that a property, formulation, or expression does not depend on any particular choice of coordinate system.
-
D.
isMassEigenstateOf
Indicates that one entity is a quantum state with a definite mass that results from diagonalizing the mass operator (or mass matrix) associated with the other entity.
-
E.
isCoherentInCGS
Indicates that something maintains internal consistency or logical coherence within the CGS (centimeter–gram–second) unit system.
- F. None of above. chosen
Provenance (4 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a292dd1c8190b5c3031f3b44eb52 |
completed | April 20, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.