Triple

T36151482
Position Surface form Disambiguated ID Type / Status
Subject pairing heap E1045596 entity
Predicate timeComplexityDecreaseKey P27167 FINISHED
Object sub-logarithmic amortized in practice (theoretical bounds vary) 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: sub-logarithmic amortized in practice (theoretical bounds vary) | Statement: [pairing heap, timeComplexityDecreaseKey, sub-logarithmic amortized in practice (theoretical bounds vary)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeComplexityDecreaseKey
Context triple: [pairing heap, timeComplexityDecreaseKey, sub-logarithmic amortized in practice (theoretical bounds vary)]
  • A. timeComplexity chosen
    Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
  • B. decreedBy
    Indicates that something (such as a rule, decision, or order) has been formally established or mandated by a particular authority or decision-making entity.
  • C. keyScheduleComplexity
    Indicates the computational effort or algorithmic difficulty required to generate and manage the sequence of subkeys used in a cryptographic key schedule.
  • D. decreasesWhen
    Indicates that the value or intensity of one entity becomes lower as a result of changes in another entity or condition.
  • E. targetReduction
    Indicates a relationship where one entity is intended or expected to decrease, diminish, or lessen another entity by a specified amount or proportion.
  • 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_69f76e37ace88190a906b107d388f5d1 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:08 p.m.