Triple

T14030508
Position Surface form Disambiguated ID Type / Status
Subject Fibonacci search E337573 entity
Predicate requiresPreprocessing P70872 FINISHED
Object computation of Fibonacci numbers up to array size 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: computation of Fibonacci numbers up to array size | Statement: [Fibonacci search, requiresPreprocessing, computation of Fibonacci numbers up to array size]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresPreprocessing
Context triple: [Fibonacci search, requiresPreprocessing, computation of Fibonacci numbers up to array size]
  • A. requiresProcessingBy
    Indicates that one entity must undergo handling, treatment, or transformation performed by another entity before a condition is met or a process can continue.
  • B. requiresInitialization chosen
    Indicates that one entity cannot be correctly used or executed until a specific setup or initialization process has been completed.
  • C. requiresExpansion
    Indicates that something is currently insufficient in scope, detail, or capacity and needs to be broadened, elaborated, or increased.
  • D. requiresDetectionOf
    Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
  • E. requiresConfiguration
    Indicates that one entity depends on another to be set up or configured before it can function or be used.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa9f8248190930954d609dee5f1 completed April 14, 2026, 12:14 p.m.
PD Predicate disambiguation batch_69de05ab36b48190920efb1869bdb1fe completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.