Triple

T17560453
Position Surface form Disambiguated ID Type / Status
Subject Address Space Layout Randomization E427682 entity
Predicate doesNotPrevent P127946 FINISHED
Object logic bugs 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: logic bugs | Statement: [Address Space Layout Randomization, doesNotPrevent, logic bugs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotPrevent
Context triple: [Address Space Layout Randomization, doesNotPrevent, logic bugs]
  • A. doesNotPreempt
    Indicates that one action, event, or rule does not take priority over, override, or occur in place of another.
  • B. doesNot
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • C. doesNotProtect
    Indicates that an entity fails to provide protection or safeguarding to another entity or object.
  • D. doesNotEnter
    Indicates that one entity refrains from or fails to go into or cross the boundary of another entity or location.
  • E. doesNotImpose
    Indicates that one entity refrains from placing requirements, restrictions, or burdens upon another entity.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456267e208190a1238fbe1a535bb0 completed April 19, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb50b448190a59dd4be33c76db7 completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:50 a.m.