Triple

T37074932
Position Surface form Disambiguated ID Type / Status
Subject Carnot engine E917683 entity
Predicate hasWorkOutput P67599 FINISHED
Object area enclosed by Carnot cycle on p-V diagram 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: area enclosed by Carnot cycle on p-V diagram | Statement: [Carnot engine, hasWorkOutput, area enclosed by Carnot cycle on p-V diagram]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWorkOutput
Context triple: [Carnot engine, hasWorkOutput, area enclosed by Carnot cycle on p-V diagram]
  • A. hasWorkProduct chosen
    Indicates that one entity produces, creates, or is responsible for a particular work product or output associated with it.
  • B. hasWorkBy
    Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
  • C. hasWorkCount
    Indicates the number of works (such as items, creations, or outputs) associated with a given entity.
  • D. hasWorkOn
    Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
  • E. hasWorkPart
    Indicates that one work is a component, section, or constituent part of another, larger work.
  • 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_69f76e9771e08190a690834e3cd20654 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
Created at: May 3, 2026, 4:14 p.m.