Triple

T529704
Position Surface form Disambiguated ID Type / Status
Subject Ginzburg–Landau theory of superconductivity E10997 entity
Predicate inspiredBy P9 FINISHED
Object Landau mean-field theory E66048 NE FINISHED

How this triple was built (2 steps)

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.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Landau mean-field theory | Statement: [Ginzburg–Landau theory of superconductivity, inspiredBy, Landau mean-field theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landau mean-field theory
Context triple: [Ginzburg–Landau theory of superconductivity, inspiredBy, Landau mean-field theory]
  • A. Landau theory of second-order phase transitions chosen
    Landau theory of second-order phase transitions is a phenomenological framework that explains continuous phase transitions by expanding the free energy in terms of an order parameter and analyzing symmetry-breaking behavior near critical points.
  • B. Fermi liquid theory
    Fermi liquid theory is a framework in condensed matter physics that describes how interacting fermions in a metal behave like long-lived quasiparticles with properties similar to those of a non-interacting Fermi gas.
  • C. Ginzburg–Landau theory of superconductivity
    The Ginzburg–Landau theory of superconductivity is a phenomenological framework that describes superconductors using a complex order parameter and macroscopic equations to capture phase transitions, coherence length, and magnetic behavior.
  • D. Ising models
    Ising models are mathematical models in statistical mechanics that describe systems of interacting binary variables (spins) on a lattice, widely used to study phase transitions, magnetism, and as a foundation for various probabilistic and machine learning models.
  • E. Eliashberg theory
    Eliashberg theory is an extension of BCS superconductivity that incorporates strong-coupling and frequency-dependent effects to more accurately describe real superconducting materials.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d4984c8190ac372171b16bb5e4 completed Feb. 28, 2026, 1:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b8add810819095f071caca108e10 completed March 1, 2026, 10:07 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.