Triple

T8285765
Position Surface form Disambiguated ID Type / Status
Subject oVirt E193782 entity
Predicate supportsMultiTenant P79899 FINISHED
Object yes 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: yes | Statement: [oVirt, supportsMultiTenant, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMultiTenant
Context triple: [oVirt, supportsMultiTenant, yes]
  • A. supportsMultiTenancy chosen
    Indicates that the subject system or component is capable of serving and isolating multiple distinct tenants or customer environments within a single deployment.
  • B. hasTenants
    Indicates that an entity occupies or rents space from another entity as its tenant.
  • C. supportsMultiuser
    Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
  • D. operatesForTenant
    Indicates that an entity performs operations or provides services on behalf of, or under the authority of, a specific tenant.
  • E. supportsMultisite
    Indicates that an entity is capable of operating across or managing multiple sites or locations within a single setup.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69cb70ad9fc081908741f8c4a4141edf completed March 31, 2026, 6:58 a.m.
Created at: March 30, 2026, 5:52 p.m.