Triple
T21988885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chew-Frautschi plots |
E543032
|
entity |
| Predicate | involvesQuantity |
P4227
|
FINISHED |
| Object | Regge slope |
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 slope Context triple: [Chew-Frautschi plots, involvesQuantity, Regge slope]
-
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.
Goldberger–Treiman relation
The Goldberger–Treiman relation is a fundamental result in particle physics that links the strong pion–nucleon coupling constant to the axial-vector coupling of the nucleon and the pion decay constant, illuminating the role of chiral symmetry in low-energy hadron interactions.
-
C.
Regge
Regge is a small river in the eastern Netherlands that flows through the province of Overijssel and is a tributary of the Vecht.
-
D.
Veneziano amplitude
The Veneziano amplitude is a pioneering formula in theoretical physics that provided the first successful model of strong interactions and led to the birth of string theory.
-
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_6a0a6d81c92481909a58757f929f904c |
completed | May 18, 2026, 1:38 a.m. |
Created at: April 16, 2026, 8:05 p.m.