Triple

T35225751
Position Surface form Disambiguated ID Type / Status
Subject Dzyaloshinskii–Moriya interaction E1017089 entity
Predicate instanceOf P0 FINISHED
Object spin–orbit interaction effect C28829 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: spin–orbit interaction effect
Context triple: [Dzyaloshinskii–Moriya interaction, instanceOf, spin–orbit interaction effect]
  • A. topological phase effect
    A topological phase effect is a physical phenomenon where a system acquires a phase shift determined solely by the global, topological properties of its configuration space or path, rather than by local dynamical details.
  • B. magneto-oscillatory effect
    The magneto-oscillatory effect is the phenomenon where a material’s electronic or transport properties, such as resistance or magnetization, exhibit periodic oscillations as a function of applied magnetic field due to the quantization of electron orbits.
  • C. LS coupling chosen
    LS coupling is an atomic coupling scheme in which individual electron orbital angular momenta combine to form a total orbital angular momentum L, individual spins combine to form a total spin S, and these then couple to give the total angular momentum J of the atom.
  • D. photon correlation effect
    Photon correlation effect is the phenomenon where statistical correlations between detected photons reveal underlying properties of a light source, such as coherence, quantum statistics, and emission dynamics.
  • E. spectroscopic effect
    A spectroscopic effect is any observable change or feature in a spectrum—such as shifts, splittings, intensity variations, or line broadenings—that arises from the interaction of electromagnetic radiation with matter and reveals information about a system’s structure, dynamics, or environment.
  • 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_69f76de072908190ab65038a8a7b6a79 completed May 3, 2026, 3:46 p.m.
Created at: May 3, 2026, 4:02 p.m.