Triple

T11294381
Position Surface form Disambiguated ID Type / Status
Subject Carnot efficiency E267412 entity
Predicate increasesWhen P35660 FINISHED
Object T_hot increases for fixed T_cold 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: T_hot increases for fixed T_cold | Statement: [Carnot efficiency, increasesWhen, T_hot increases for fixed T_cold]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: increasesWhen
Context triple: [Carnot efficiency, increasesWhen, T_hot increases for fixed T_cold]
  • A. increases
    Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
  • B. increasesWith chosen
    Indicates that as the value or magnitude of one entity grows, the value or magnitude of another entity correspondingly grows as well.
  • C. firstIncreaseIn
    Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
  • D. subsequentIncrease
    Indicates that one quantity or value increases after a prior event, state, or change has occurred.
  • E. risesIn
    Indicates that a river or similar watercourse originates or begins its flow in a specified location.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98b149481909f432a6b9ef8bfbb completed April 9, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69d787a6ca2c8190afdc24b61ccd3f8a completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.