Triple

T8483253
Position Surface form Disambiguated ID Type / Status
Subject MVS E200568 entity
Predicate uses P98 FINISHED
Object JCL E200570 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: JCL | Statement: [MVS, uses, JCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JCL
Context triple: [MVS, uses, JCL]
  • A. JCL
    JCL is the standard set of pre-built classes and APIs that provide core functionality for Java programs, including utilities for data structures, I/O, networking, and more.
  • B. CICS
    CICS is the College of Information and Computer Sciences at the University of Massachusetts Amherst, known for its research and education in computer science and related fields.
  • C. Job Control Language chosen
    Job Control Language (JCL) is a scripting language used on IBM mainframe systems to define and control batch jobs and their execution.
  • D. COBOL
    COBOL is a long-established, English-like programming language primarily used for business, finance, and administrative systems on mainframes and enterprise platforms.
  • E. CICS Transaction Server
    CICS Transaction Server is IBM’s high-performance transaction processing platform used to run large-scale, mission-critical applications on mainframe systems.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53845e881909eeb32863c7aa942 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a348a8481908a72c7ac15605022 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.