Triple

T18771938
Position Surface form Disambiguated ID Type / Status
Subject HD 24912 E459034 entity
Predicate effectiveTemperatureKelvin P57025 FINISHED
Object around 35000 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: around 35000 | Statement: [HD 24912, effectiveTemperatureKelvin, around 35000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectiveTemperatureKelvin
Context triple: [HD 24912, effectiveTemperatureKelvin, around 35000]
  • A. equilibriumTemperature
    Indicates the temperature at which a system’s heat exchange balances so that no net change in its thermal state occurs.
  • B. hasEffectiveTemperature chosen
    Indicates that an entity (typically a star or other astronomical object) possesses a specific effective surface temperature characterizing its emitted radiation.
  • C. surfaceTemperature_K
    Indicates the temperature of a surface expressed in kelvins.
  • D. equilibriumTemperatureRelativeToEarth
    Indicates the equilibrium temperature of an object or system expressed in relation to, or normalized by, Earth’s equilibrium temperature.
  • E. maxSurfaceTemperature
    Indicates the highest temperature that the surface of an entity can reach or sustain under specified conditions.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59336a6b08190819595a55177264e completed April 20, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69e48d0b7b708190877951b6e6cdcbc4 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:52 a.m.