Triple

T4091850
Position Surface form Disambiguated ID Type / Status
Subject Rolf Landauer E87720 entity
Predicate theoryFormulated P47923 FINISHED
Object Landauer's principle E87719 NE FINISHED

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: Landauer's principle | Statement: [Rolf Landauer, theoryFormulated, Landauer's principle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landauer's principle
Context triple: [Rolf Landauer, theoryFormulated, Landauer's principle]
  • A. Landauer's principle chosen
    Landauer's principle is a foundational concept in thermodynamics and information theory stating that erasing one bit of information in a computational process necessarily dissipates a minimum amount of heat, linking information processing to physical entropy.
  • B. Carathéodory’s formulation of the second law of thermodynamics
    Carathéodory’s formulation of the second law of thermodynamics is a mathematically rigorous restatement of the second law based on the inaccessibility of certain thermodynamic states, providing a foundation for the concept of entropy without relying on cyclic processes or heat engines.
  • C. Carnot efficiency
    Carnot efficiency is the theoretical maximum efficiency that any heat engine can achieve when operating between two temperatures, serving as a fundamental limit in thermodynamics.
  • D. Bennett's logical reversibility
    Bennett's logical reversibility is a concept in computation theory stating that computational processes can be designed so that each step is logically reversible, allowing information to be recovered and, in principle, computation to occur without energy dissipation.
  • E. Bekenstein bound
    The Bekenstein bound is a theoretical limit in physics on the maximum amount of information or entropy that can be contained within a finite region of space with a given amount of energy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theoryFormulated
Context triple: [Rolf Landauer, theoryFormulated, Landauer's principle]
  • A. theorized
    Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
  • B. hasFormulation
    Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
  • C. developsTheory chosen
    Indicates that one entity formulates, elaborates, or advances a theoretical framework or explanation concerning another entity.
  • D. mathematicallyFormulatedIn
    Indicates that something is expressed, defined, or represented using mathematical formulas, equations, or formal mathematical structures within a given context.
  • E. mathematicallyFormulatedBy
    Indicates that something (such as a concept, model, or theory) is expressed or defined using mathematical formulations created by a particular agent.
  • F. None of above.

Provenance (4 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcae22a081908af65a960306b78c completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5769e8b188190a6356c325d0551ea completed March 14, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69aef909c9c88190b09d48dad325a83c completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:40 p.m.