Triple

T23344592
Position Surface form Disambiguated ID Type / Status
Subject UV Ceti E591821 entity
Predicate effectiveTemperature_approx P57025 FINISHED
Object ~2700 K 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: ~2700 K | Statement: [UV Ceti, effectiveTemperature_approx, ~2700 K]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectiveTemperature_approx
Context triple: [UV Ceti, effectiveTemperature_approx, ~2700 K]
  • A. temperatureRelativeToSurroundings
    Indicates how an entity’s temperature compares to that of its immediate surroundings (e.g., warmer, cooler, or equal).
  • B. typicalTemperature
    Indicates the usual or characteristic temperature associated with an entity under normal conditions.
  • C. hasEffectiveTemperature chosen
    Indicates that an entity (typically a star or other astronomical object) possesses a specific effective surface temperature characterizing its emitted radiation.
  • D. equilibriumTemperature
    Indicates the temperature at which a system’s heat exchange balances so that no net change in its thermal state occurs.
  • E. temperatureProportionalTo
    Indicates that the temperature of one entity changes in direct proportion to 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198358fb8819094c74cfd53cbab44 completed April 29, 2026, 5:33 a.m.
PD Predicate disambiguation batch_69effcfd8d288190937a887fe6023c11 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:19 p.m.