Triple

T31026985
Position Surface form Disambiguated ID Type / Status
Subject CP/M-68K E790606 entity
Predicate multiuserSupport P31535 FINISHED
Object no 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: no | Statement: [CP/M-68K, multiuserSupport, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: multiuserSupport
Context triple: [CP/M-68K, multiuserSupport, no]
  • A. supportsMultiuser chosen
    Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
  • B. supportsUserServices
    Indicates that one entity provides the necessary functionality or resources for user-facing services to operate or be delivered.
  • C. supportsUsers
    Indicates that one entity provides assistance, functionality, or compatibility for the users associated with another entity.
  • D. multipleAccess
    Indicates that an entity can be accessed or used by more than one agent, user, or process, either simultaneously or sequentially.
  • E. supportsMultipleWindows
    Indicates that the subject can handle or display more than one window or view simultaneously.
  • 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_69f224c811508190a7de096a5b1f5798 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6953bafb88190a860e9c68a3dd4b2 completed May 3, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69f690ef92308190903a54fc74233269 completed May 3, 2026, 12:03 a.m.
Created at: April 29, 2026, 8:58 p.m.