Triple

T36906020
Position Surface form Disambiguated ID Type / Status
Subject Dehn–Lickorish theorem E912779 entity
Predicate instanceOf P0 FINISHED
Object theorem in low-dimensional topology C44531 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: theorem in low-dimensional topology
Context triple: [Dehn–Lickorish theorem, instanceOf, theorem in low-dimensional topology]
  • A. technique in low-dimensional topology
    A technique in low-dimensional topology is a method or procedure used to analyze, classify, or manipulate topological spaces and structures primarily in dimensions two, three, and four, often leveraging geometric, combinatorial, or algebraic tools.
  • B. result in low-dimensional topology chosen
    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.
  • C. work in geometric topology
    Work in geometric topology studies the properties and structures of spaces that are preserved under continuous deformations, focusing on the interplay between geometry and topology in shapes and manifolds.
  • D. invariant in geometric topology
    An invariant in geometric topology is a property or quantity assigned to a topological or geometric object that remains unchanged under specified classes of deformations or equivalences, such as homeomorphisms or isotopies.
  • E. 3-manifold
    A 3-manifold is a topological space in which every point has a neighborhood homeomorphic to three-dimensional Euclidean space \(\mathbb{R}^3\).
  • 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_69f76e879768819085c2fb31a6a5b44b completed May 3, 2026, 3:49 p.m.
Created at: May 3, 2026, 4:13 p.m.