Triple

T36151479
Position Surface form Disambiguated ID Type / Status
Subject pairing heap E1045596 entity
Predicate timeComplexityMeld P27167 FINISHED
Object O(1) amortized 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: O(1) amortized | Statement: [pairing heap, timeComplexityMeld, O(1) amortized]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeComplexityMeld
Context triple: [pairing heap, timeComplexityMeld, O(1) amortized]
  • A. timeComplexity chosen
    Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
  • B. spaceComplexity
    Indicates the relationship between an algorithm and the amount of memory it requires as a function of input size.
  • C. canMerge
    Indicates that two or more entities are compatible in such a way that they can be combined into a single unified entity or structure.
  • D. parameterizedComplexity
    Indicates that the relationship or action is analyzed or characterized in terms of its computational complexity as a function of one or more explicit parameters.
  • E. mergedBy
    Indicates that one entity is combined or integrated into another entity through the action or decision of a specific agent.
  • 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_69f7b69b333081909cadbed3fcb8ecf5 completed May 3, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69f7b4c2a5f8819094ad4621d7b97e0c completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:08 p.m.