Triple

T29252528
Position Surface form Disambiguated ID Type / Status
Subject HP 9000 series 400 E741604 entity
Predicate multiUserSupport P31535 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: [HP 9000 series 400, multiUserSupport, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: multiUserSupport
Context triple: [HP 9000 series 400, multiUserSupport, yes]
  • A. supportsMultiuser chosen
    Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
  • B. supportsMultiTenancy
    Indicates that the subject system or component is capable of serving and isolating multiple distinct tenants or customer environments within a single deployment.
  • C. supportsUserServices
    Indicates that one entity provides the necessary functionality or resources for user-facing services to operate or be delivered.
  • D. multipleAccess
    Indicates that an entity can be accessed or used by more than one agent, user, or process, either simultaneously or sequentially.
  • E. supportsSeparateAccounts
    Indicates that one entity enables or allows the use or management of distinct, individually maintained accounts rather than a single shared account.
  • 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_69f0911eba2c8190b07cd2fdf91422c9 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f664aaeec88190afa894d26edbcf8b completed May 2, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69f660f2e3708190ab658652bcfc04d0 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 12:35 p.m.