Triple

T17521112
Position Surface form Disambiguated ID Type / Status
Subject Soft Actor-Critic E426679 entity
Predicate temperatureParameterControls P127769 FINISHED
Object entropy-returns trade-off 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: entropy-returns trade-off | Statement: [Soft Actor-Critic, temperatureParameterControls, entropy-returns trade-off]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temperatureParameterControls
Context triple: [Soft Actor-Critic, temperatureParameterControls, entropy-returns trade-off]
  • A. temperatureControlMethod
    Indicates the method or mechanism used to regulate or maintain a desired temperature.
  • B. temperatureConditions
    Indicates the specific thermal or weather-related temperature state or range affecting an entity or situation.
  • C. temperatureChange
    Indicates a change in temperature between two states, times, or conditions, specifying how much and in which direction the temperature has varied.
  • D. thermalControl
    Indicates a relationship where one entity regulates, adjusts, or maintains the temperature or thermal conditions of another entity or environment.
  • E. temperatureRangeVariant
    Indicates a relationship where one temperature range is a variation or alternative form of another temperature range.
  • F. None of above. chosen

Provenance (4 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69e3b4f8b9888190aa8a45e09acf4319 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:49 a.m.