Triple

T11294354
Position Surface form Disambiguated ID Type / Status
Subject Carnot efficiency E267412 entity
Predicate temperatureUnitRequirement P89813 FINISHED
Object absolute temperature scale 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: absolute temperature scale | Statement: [Carnot efficiency, temperatureUnitRequirement, absolute temperature scale]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temperatureUnitRequirement
Context triple: [Carnot efficiency, temperatureUnitRequirement, absolute temperature scale]
  • A. typicalTemperatureScale
    Indicates the temperature scale (such as Celsius or Fahrenheit) that is normally used to express temperature values for the given entity or context.
  • B. dimensionOfTemperature
    Indicates that one entity represents the physical dimension or measure associated with temperature for another entity.
  • C. hasTemperature
    Indicates that an entity possesses or is characterized by a specific temperature value.
  • D. characteristicTemperatureScale chosen
    Indicates the temperature scale (e.g., Celsius, Fahrenheit, Kelvin) that is used as the standard or defining measure for a given entity or context.
  • E. symbolOfTemperature
    Indicates that one entity serves as a symbolic representation or notation used to express the temperature of another entity.
  • 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.