Triple

T28618255
Position Surface form Disambiguated ID Type / Status
Subject Certificate Enrollment Web Service E724319 entity
Predicate supportsClientSoftware P113768 FINISHED
Object Windows autoenrollment 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: Windows autoenrollment | Statement: [Certificate Enrollment Web Service, supportsClientSoftware, Windows autoenrollment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsClientSoftware
Context triple: [Certificate Enrollment Web Service, supportsClientSoftware, Windows autoenrollment]
  • A. hasSoftwareCompatibilityWith
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • B. compatibleClient chosen
    Indicates that one entity can function correctly and reliably as a client when interacting with another entity, according to defined compatibility criteria.
  • C. supportsAPIClientSDKs
    Indicates that an entity provides or is compatible with software development kits (SDKs) intended for use by API clients.
  • D. hasSoftwareType
    Indicates that an entity is associated with or classified under a particular type or category of software.
  • E. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • 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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_6a017bc21b048190b9c680013de203b6 completed May 11, 2026, 6:48 a.m.
PD Predicate disambiguation batch_6a017aa09c4481909c3b55e0cd13501e completed May 11, 2026, 6:43 a.m.
Created at: April 28, 2026, 4:32 a.m.