Triple

T8285466
Position Surface form Disambiguated ID Type / Status
Subject aa-logprof E193777 entity
Predicate partOf P40 FINISHED
Object AppArmor E37339 NE 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: AppArmor | Statement: [aa-logprof, partOf, AppArmor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AppArmor
Context triple: [aa-logprof, partOf, AppArmor]
  • A. AppArmor chosen
    AppArmor is a Linux kernel security module that confines programs to a limited set of resources using per-application security profiles to reduce the impact of vulnerabilities and attacks.
  • B. TOMOYO Linux
    TOMOYO Linux is a security-focused enhancement for the Linux kernel that provides mandatory access control through fine-grained, policy-based restrictions on system behavior.
  • C. SELinux
    SELinux (Security-Enhanced Linux) is a Linux kernel security module that provides a flexible, fine-grained mandatory access control (MAC) framework to enforce strict security policies on systems.
  • D. Luks
    Luks is the surname of American realist painter and Ashcan School member George Luks.
  • E. XProtect
    XProtect is a video management software platform widely used for managing and recording IP-based surveillance systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6d38f3c8190a7939e4fd9aff9b6 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:52 p.m.