Triple

T2081572
Position Surface form Disambiguated ID Type / Status
Subject Boltzmann–Gibbs entropy E45253 entity
Predicate monotonicWith P10675 FINISHED
Object number of accessible microstates LITERAL 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: number of accessible microstates | Statement: [Boltzmann–Gibbs entropy, monotonicWith, number of accessible microstates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monotonicWith
Context triple: [Boltzmann–Gibbs entropy, monotonicWith, number of accessible microstates]
  • A. monotoneIn chosen
    Indicates that the relationship or function preserves a specified order when one of its arguments increases, meaning larger inputs (in that argument) do not lead to smaller outputs with respect to the given ordering.
  • B. monarchUntil
    Indicates that an entity served as monarch over another entity up to, but not beyond, a specified end time or event.
  • C. monogeneric
    Indicates that a taxonomic group (such as a family or subfamily) contains only a single genus.
  • D. isEquiconsistentWith
    Indicates that two formal theories or systems have the same consistency strength, such that if one is consistent then the other is also consistent, and if one is inconsistent then so is the other.
  • E. synchronizesWith
    Indicates that two or more entities coordinate their states or activities so that they occur in step or remain temporally consistent with each other.
  • F. None of above.

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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba35c2588190933dba882f52dd17 completed March 7, 2026, 5:40 a.m.
PD Predicate disambiguation batch_69abb7b298a48190b4bdf7c9800b058d completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:41 p.m.