Triple

T10155650
Position Surface form Disambiguated ID Type / Status
Subject IBM 3090 E232768 entity
Predicate runsOperatingSystem P1593 FINISHED
Object VSE E724109 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: VSE | Statement: [IBM 3090, runsOperatingSystem, VSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VSE
Context triple: [IBM 3090, runsOperatingSystem, VSE]
  • A. VSE/AF
    VSE/AF is an IBM mainframe operating system in the VSE family, designed as a follow-on to DOS/VS for batch and transaction processing on smaller System/370-class systems.
  • B. VSE/ESA chosen
    VSE/ESA is an IBM mainframe operating system in the VSE family, designed for smaller System/390 and z/Architecture environments to support batch and transaction processing workloads.
  • C. VŠE
    VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
  • D. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • E. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3a5e7c819098b2f9ccbde7cf94 completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e65b9d4c8190b1f520ed08256372 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:09 p.m.