Triple

T1774798
Position Surface form Disambiguated ID Type / Status
Subject Sharp X68000 E38952 entity
Predicate osType P1593 FINISHED
Object DOS-like operating system 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: DOS-like operating system | Statement: [Sharp X68000, osType, DOS-like operating system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: osType
Context triple: [Sharp X68000, osType, DOS-like operating system]
  • A. operatorSystem
    Indicates a relationship where one entity functions as the operating system that manages or controls another entity (such as a device, application, or system).
  • B. operatesSystem
    Indicates that an entity actively controls, manages, or runs a particular system.
  • C. operatingSystem chosen
    Indicates that one entity is the operating system running on, or used by, another entity.
  • D. systemType
    Indicates the classification or category of a system that an entity belongs to or operates as.
  • E. usedByOperatingSystems
    Indicates that something (such as a component, standard, or feature) is utilized or supported by one or more operating systems.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab17e368048190b7b73d156400f772 completed March 6, 2026, 6:07 p.m.
PD Predicate disambiguation batch_69aa61cd4c1c8190a8dff391f5642bfe completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.