Triple

T9248222
Position Surface form Disambiguated ID Type / Status
Subject IBM 168 E222251 entity
Predicate operatingSystem P1593 FINISHED
Object MVS E200568 NE 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: MVS | Statement: [IBM 168, operatingSystem, MVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MVS
Context triple: [IBM 168, operatingSystem, MVS]
  • A. MVS chosen
    MVS (Multiple Virtual Storage) is an IBM mainframe operating system that became the dominant successor to OS/360, providing advanced virtual memory and multitasking capabilities for enterprise computing.
  • B. MVS
    MVS is the commonly used Ukrainian abbreviation for the Ministry of Internal Affairs, the government body responsible for law enforcement and internal security in Ukraine.
  • C. OMVS
    OMVS is the multinational organization responsible for managing and developing the shared water resources and infrastructure of the Senegal River basin.
  • D. VMS
    VMS is a multiuser, multitasking operating system originally created by Digital Equipment Corporation for its VAX minicomputers, known for its robustness, security features, and influence on later systems like Windows NT.
  • E. VMS
    VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f6d62c8190a1e33f1854767b47 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f79cfc81908bae290aa25cf2a1 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.