Triple

T1636136
Position Surface form Disambiguated ID Type / Status
Subject IBM Db2 E35363 entity
Predicate operatingSystem P1593 FINISHED
Object IBM i E40472 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: IBM i | Statement: [IBM Db2, operatingSystem, IBM i]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM i
Context triple: [IBM Db2, operatingSystem, IBM i]
  • A. IBM i chosen
    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.
  • B. AIX
    AIX is IBM’s proprietary Unix operating system designed for enterprise servers and high-reliability, scalable computing 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. IBM System z
    IBM System z is IBM’s family of mainframe computers known for high reliability, scalability, and support for enterprise workloads, including running Linux at large scale.
  • E. IBM WebSphere
    IBM WebSphere is a suite of enterprise middleware and application server software designed to build, deploy, and integrate large-scale Java-based web and business applications.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a17e8e08190afb78a953ab920ec completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6815c4588190bccfbece8f22c1a1 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:28 p.m.