Triple

T1835202
Position Surface form Disambiguated ID Type / Status
Subject z/OS E41049 entity
Predicate supports P516 FINISHED
Object Db2 for z/OS E35363 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: Db2 for z/OS | Statement: [z/OS, supports, Db2 for z/OS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Db2 for z/OS
Context triple: [z/OS, supports, Db2 for z/OS]
  • A. IBM DB2 chosen
    IBM DB2 is a family of enterprise-grade relational database management systems developed by IBM, widely used for high-performance, scalable data storage and transaction processing across mainframe, distributed, and cloud environments.
  • B. z/OS
    z/OS is IBM’s 64-bit mainframe operating system designed for high-volume, secure, and reliable enterprise computing workloads.
  • C. IBM i
    IBM i is IBM’s integrated operating system for its Power Systems servers, known for its built-in database, high reliability, and strong support for enterprise applications.
  • D. Db2 Data Server Manager
    Db2 Data Server Manager is IBM’s web-based administration and monitoring tool for managing, tuning, and analyzing Db2 database environments.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb026aa7c8190bc988d3ee0fd9f41 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b4b4f08190a0e5ad50de5c0ba8 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.