Triple

T5819369
Position Surface form Disambiguated ID Type / Status
Subject PL/I E129068 entity
Predicate platform P1292 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: [PL/I, platform, MVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MVS
Context triple: [PL/I, platform, 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. OMVS
    OMVS is the multinational organization responsible for managing and developing the shared water resources and infrastructure of the Senegal River basin.
  • C. 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.
  • D. 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.
  • E. VAX
    VAX is a line of 32-bit minicomputers and their associated architecture developed by Digital Equipment Corporation, widely used in the late 20th century for time-sharing and scientific computing.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e477c08190a8bd37c879e6b6b8 completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985399488190bcab9702e3b88539 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.