Triple
T6397039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | information loss paradox |
E143966
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | black hole paradox |
C1100
|
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: black hole paradox Context triple: [information loss paradox, instanceOf, black hole paradox]
-
A.
black hole uniqueness theorem
The black hole uniqueness theorem states that any stationary, asymptotically flat black hole solution of the Einstein–Maxwell equations in four dimensions is completely characterized by only three externally observable parameters: mass, electric charge, and angular momentum.
-
B.
black hole model
A black hole model is a conceptual representation that describes the physical properties, structure, and behavior of black holes, including their formation, spacetime geometry, and interactions with surrounding matter and radiation.
-
C.
non-singular black hole model
A non-singular black hole model is a theoretical description of a black hole whose core avoids the classical spacetime singularity, typically by invoking modified gravity or quantum effects that yield a finite, regular interior geometry.
-
D.
quantum effect near event horizon
A quantum effect near an event horizon is a phenomenon arising from quantum field fluctuations in the intense gravitational boundary of a black hole, leading to processes such as particle creation and Hawking radiation.
-
E.
scientific paradox
chosen
A scientific paradox is a situation, result, or concept in science that appears self-contradictory or incompatible with established theory, yet arises from seemingly sound reasoning or empirical evidence.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:35 p.m.