Triple

T33555923
Position Surface form Disambiguated ID Type / Status
Subject CMS E859471 entity
Predicate distinctionFromHost P152816 FINISHED
Object guest OS separate from VM/370 control program 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: guest OS separate from VM/370 control program | Statement: [CMS, distinctionFromHost, guest OS separate from VM/370 control program]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distinctionFromHost
Context triple: [CMS, distinctionFromHost, guest OS separate from VM/370 control program]
  • A. usesHost
    Indicates that one entity makes use of another entity as its host or hosting environment in order to function, operate, or reside.
  • B. guestHosted
    Indicates that one entity temporarily hosted or presented an event, show, or program in place of or alongside the usual host.
  • C. qualifiedAsHost
    Indicates that an entity has met the necessary criteria or standards to serve in the role of a host.
  • D. doesNotHost
    Indicates that one entity explicitly does not provide space, facilities, or support to accommodate or host another entity or event.
  • E. distinctionFromOtherCategories chosen
    Indicates that something is differentiated or set apart from other categories, emphasizing its unique or non-overlapping classification.
  • 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_69f3497b2b68819093207971b5e13dc8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:40 a.m.