Triple

T21988891
Position Surface form Disambiguated ID Type / Status
Subject Chew-Frautschi plots E543032 entity
Predicate relatedTo P37 FINISHED
Object Regge phenomenology E127234 NE 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regge phenomenology
Context triple: [Chew-Frautschi plots, relatedTo, Regge phenomenology]
  • A. Regge theory chosen
    Regge theory is a framework in high-energy physics that describes the behavior of scattering amplitudes and particle exchanges at high energies using analytic properties of angular momentum, encapsulated in so-called Regge trajectories.
  • B. Sakata model of hadrons
    The Sakata model of hadrons is an early composite model in particle physics that treated hadrons as bound states of a few fundamental baryons, serving as a precursor to the quark model.
  • C. Yukawa meson theory
    Yukawa meson theory is an early quantum field theory that models the strong nuclear force as being mediated by massive mesons, introducing the concept of a short-range Yukawa potential between nucleons.
  • D. Drell–Yan processes
    Drell–Yan processes are high-energy particle interactions in which a quark and an antiquark from colliding hadrons annihilate to produce a lepton–antilepton pair, providing a key probe of hadron structure and parton distributions.
  • E. Drell–Hearn–Gerasimov sum rule
    The Drell–Hearn–Gerasimov sum rule is a fundamental relation in quantum field theory and nuclear physics that connects a particle’s anomalous magnetic moment to an energy-weighted integral over its spin-dependent photoabsorption cross sections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b5e56588190bd9be43375ecb86a completed May 18, 2026, 2:37 a.m.
Created at: April 16, 2026, 8:05 p.m.