Triple

T19319156
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Prandtl E483173 entity
Predicate notableFor P22 FINISHED
Object Prandtl–Tomlinson model NE NERFINISHED

How this triple was built (3 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: Prandtl–Tomlinson model | Statement: [Ludwig Prandtl, notableFor, Prandtl–Tomlinson model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prandtl–Tomlinson model
Context triple: [Ludwig Prandtl, notableFor, Prandtl–Tomlinson model]
  • A. Peierls–Nabarro model
    The Peierls–Nabarro model is a theoretical framework in solid-state physics that describes the behavior and motion of dislocations in crystal lattices by accounting for the periodic atomic potential.
  • B. Rice–Ruina friction law
    The Rice–Ruina friction law is a rate-and-state constitutive model that describes how frictional resistance on a sliding interface evolves with slip velocity and the history of contact, widely used in earthquake and fault mechanics.
  • C. Kapitza resistance
    Kapitza resistance is the thermal boundary resistance that occurs at the interface between a solid and liquid helium, causing a temperature discontinuity when heat flows across the boundary.
  • D. Kramers turnover theory
    Kramers turnover theory is a foundational concept in chemical physics that describes how reaction rates depend on friction or solvent viscosity, predicting a maximum (turnover) as friction varies.
  • E. Landau–Peierls instability
    Landau–Peierls instability is a theoretical prediction in condensed matter physics that shows how long-wavelength thermal fluctuations destroy true long-range positional order in low-dimensional crystalline systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prandtl–Tomlinson model
Target entity description: The Prandtl–Tomlinson model is a foundational theoretical framework in tribology that describes atomic-scale friction by modeling the motion of a particle over a periodic potential landscape.
  • A. Peierls–Nabarro model
    The Peierls–Nabarro model is a theoretical framework in solid-state physics that describes the behavior and motion of dislocations in crystal lattices by accounting for the periodic atomic potential.
  • B. Rice–Ruina friction law
    The Rice–Ruina friction law is a rate-and-state constitutive model that describes how frictional resistance on a sliding interface evolves with slip velocity and the history of contact, widely used in earthquake and fault mechanics.
  • C. Kapitza resistance
    Kapitza resistance is the thermal boundary resistance that occurs at the interface between a solid and liquid helium, causing a temperature discontinuity when heat flows across the boundary.
  • D. Kramers turnover theory
    Kramers turnover theory is a foundational concept in chemical physics that describes how reaction rates depend on friction or solvent viscosity, predicting a maximum (turnover) as friction varies.
  • E. Landau–Peierls instability
    Landau–Peierls instability is a theoretical prediction in condensed matter physics that shows how long-wavelength thermal fluctuations destroy true long-range positional order in low-dimensional crystalline systems.
  • F. None of above. chosen

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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d868dd48190b1439a5f4ff58c48 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.