Triple

T8993294
Position Surface form Disambiguated ID Type / Status
Subject IBM 3033 E214840 entity
Predicate operatingSystem P1593 FINISHED
Object OS/VS2 E214838 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: OS/VS2 | Statement: [IBM 3033, operatingSystem, OS/VS2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OS/VS2
Context triple: [IBM 3033, operatingSystem, OS/VS2]
  • A. OS/VS2 chosen
    OS/VS2 was IBM’s mainframe operating system for the System/370 line, providing virtual storage capabilities and advanced batch and time-sharing features for enterprise computing.
  • B. OS/VS1
    OS/VS1 is an IBM mainframe operating system from the 1970s designed for single-virtual-storage environments on System/370 hardware.
  • C. DOS/VS
    DOS/VS is an IBM mainframe operating system variant designed for virtual storage support on the System/370 family.
  • D. OS/2
    OS/2 is a 32-bit multitasking operating system originally developed by IBM and Microsoft as a successor to MS-DOS, known for its stability and use in business environments in the late 1980s and 1990s.
  • E. OS
    OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd9bd544819083adf00db6a4a473 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:04 p.m.