Triple

T33735130
Position Surface form Disambiguated ID Type / Status
Subject xinetd E864392 entity
Predicate supportsAccessControlBy P89420 FINISHED
Object IP address — 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: IP address | Statement: [xinetd, supportsAccessControlBy, IP address]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsAccessControlBy
Context triple: [xinetd, supportsAccessControlBy, IP address]
  • A. supportsACLs
    Indicates that one entity provides or is compatible with access control lists (ACLs) for managing permissions on another entity.
  • B. supportsRoleBasedAccessControl
    Indicates that an entity provides or enables role-based access control, allowing permissions or access rights to be managed based on assigned roles.
  • C. hasSecurityAccessControl chosen
    Indicates that an entity enforces or is associated with mechanisms that regulate and control access to resources or information for security purposes.
  • D. usesAccessControlModel
    Indicates that one entity employs or implements a specific access control model to govern permissions or regulate access to resources.
  • E. hasAccessBy
    Indicates that one entity is permitted to access, use, or interact with another entity, typically under specified permissions or conditions.
  • 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_69f3498a64cc8190b4b414c67b280d93 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037e0953908190b2930b3c06a40129 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a0379f6c3308190b954f7810214ceed completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:44 a.m.