Triple

T32539484
Position Surface form Disambiguated ID Type / Status
Subject Active Directory Administrative Center E831676 entity
Predicate replacesPartially P40785 FINISHED
Object Active Directory Users and Computers NE NERFINISHED

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: Active Directory Users and Computers | Statement: [Active Directory Administrative Center, replacesPartially, Active Directory Users and Computers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: replacesPartially
Context triple: [Active Directory Administrative Center, replacesPartially, Active Directory Users and Computers]
  • A. replacedPartOf
    Indicates that one entity has taken the place of another entity as a component or part within a larger whole.
  • B. partlyReplacedBy chosen
    Indicates that one entity has been superseded or substituted in part, but not entirely, by another entity.
  • C. isPartially
    Indicates that one entity is included within another to some extent, but not completely or fully.
  • D. partlyRebuilt
    Indicates that an entity has been reconstructed or restored to some extent, but not fully.
  • E. replacesComponentOf
    Indicates that one entity takes the place of a specific component within another entity, substituting for that component in its role or function.
  • 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
Created at: May 1, 2026, 1:02 a.m.