Triple

T7664751
Position Surface form Disambiguated ID Type / Status
Subject MMIX E173597 entity
Predicate hasPrivilegeMode P6865 FINISHED
Object user mode 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: user mode | Statement: [MMIX, hasPrivilegeMode, user mode]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrivilegeMode
Context triple: [MMIX, hasPrivilegeMode, user mode]
  • A. hasAccessMode chosen
    Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
  • B. hasAccessModel
    Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
  • C. holderPrivileges
    Indicates that one entity possesses specific rights, permissions, or advantages granted to the holder of another entity.
  • D. hasAccessTo
    Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
  • E. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4 p.m.