Triple

T37450342
Position Surface form Disambiguated ID Type / Status
Subject Psychrobacter E930655 entity
Predicate temperatureAdaptation P99538 FINISHED
Object psychrophilic 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: psychrophilic | Statement: [Psychrobacter, temperatureAdaptation, psychrophilic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temperatureAdaptation
Context triple: [Psychrobacter, temperatureAdaptation, psychrophilic]
  • A. bodyTemperatureRegulation
    Indicates how an entity controls or maintains its internal body temperature in response to environmental conditions.
  • B. temperatureDependent
    Indicates that the existence, intensity, or outcome of a relationship or process varies as a function of temperature.
  • 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. temperatureConditions chosen
    Indicates the specific thermal or weather-related temperature state or range affecting an entity or situation.
  • E. temperatureParameterControls
    Indicates that one temperature-related parameter determines, adjusts, or influences the value or behavior of another.
  • 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_69f76ec0b9488190b7a4fae632bd1d2f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb92efc5948190a040ba2028bab964 completed May 6, 2026, 7:13 p.m.
PD Predicate disambiguation batch_69fb8d0b52588190bb29937a43b99b5e completed May 6, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:17 p.m.