Triple
T616507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerr metric |
E14416
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | stationary axisymmetric spacetime |
C3972
|
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: stationary axisymmetric spacetime Context triple: [Kerr metric, instanceOf, stationary axisymmetric spacetime]
-
A.
Eddington–Finkelstein coordinate system
The Eddington–Finkelstein coordinate system is a reformulation of the Schwarzschild spacetime using null (lightlike) coordinates that smoothly extend across the event horizon, eliminating the coordinate singularity present in standard Schwarzschild coordinates.
-
B.
flat space-time
Flat space-time is a conceptual class representing a four-dimensional continuum with zero curvature, where the geometry is described by the Minkowski metric and special relativity holds exactly.
-
C.
Lorentzian manifold
chosen
A Lorentzian manifold is a smooth manifold equipped with a metric tensor of signature \((-+\cdots+)\) (or its variants) that models spacetime in general relativity by distinguishing timelike, spacelike, and null directions.
-
D.
object in general relativity
An object in general relativity is any localized concentration of energy–momentum whose presence curves spacetime and thereby influences the motion of matter and light.
-
E.
solution in general relativity
A solution in general relativity is a specific spacetime metric (and accompanying matter fields, if any) that satisfies Einstein’s field equations for a given physical configuration or set of conditions.
- F. None of above.
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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:35 p.m.