Triple
T26254701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volume conjecture |
E656686
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | conjecture in quantum topology |
C51326
|
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: conjecture in quantum topology Context triple: [Volume conjecture, instanceOf, conjecture in quantum topology]
-
A.
quantum invariant
A quantum invariant is a quantity associated with a quantum system or topological object that remains unchanged under specified transformations, often used to distinguish or classify quantum states, knots, or manifolds.
-
B.
topological quantum field theory
A topological quantum field theory is a quantum field theory whose observables and correlation functions depend only on the topology of the underlying spacetime manifold, not on its geometric details such as distances or angles.
-
C.
3-manifold invariant
A 3-manifold invariant is a quantity or structure assigned to a 3-dimensional manifold that remains unchanged under homeomorphisms or diffeomorphisms, used to distinguish and classify such manifolds.
-
D.
result in low-dimensional topology
A result in low-dimensional topology is a theorem or proposition that characterizes the structure, classification, or properties of topological spaces and manifolds of dimension four or less.
-
E.
concept in knot theory
A concept in knot theory is an abstract idea or construct used to study and classify embeddings of circles (knots) and collections of circles (links) in three-dimensional space up to continuous deformation.
- F. None of above. chosen
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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:08 p.m.