Triple

T11306234
Position Surface form Disambiguated ID Type / Status
Subject FICON E267719 entity
Predicate supportsEnvironment P11908 FINISHED
Object z/VSE E193762 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: z/VSE | Statement: [FICON, supportsEnvironment, z/VSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: z/VSE
Context triple: [FICON, supportsEnvironment, z/VSE]
  • A. z/VSE chosen
    z/VSE is IBM's mainframe operating system designed for System z environments, optimized for batch and transaction processing in business-critical workloads.
  • B. IBM VSE
    IBM VSE is an IBM mainframe operating system designed for smaller and midrange systems, focused on batch and transaction processing in business environments.
  • C. z/OS
    z/OS is IBM’s 64-bit mainframe operating system designed for high-volume, secure, and reliable enterprise computing workloads.
  • D. z/VM
    z/VM is IBM's mainframe virtualization operating system that allows multiple virtual machines to run concurrently on IBM System z hardware.
  • E. OS/390
    OS/390 is an IBM mainframe operating system that evolved from the MVS family, providing robust batch and transaction processing, high reliability, and enterprise-scale workload management.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a7255c81909675fe9ad6d71934 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a62ceec8190af25edf44c5fc1e9 completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.