Triple

T10104710
Position Surface form Disambiguated ID Type / Status
Subject IBM MQ E216287 entity
Predicate supportsPlatform P203 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 MQ, supportsPlatform, IBM i]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM i
Context triple: [IBM MQ, supportsPlatform, 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 Power Systems
    IBM Power Systems is IBM’s family of high-performance server computers designed for enterprise workloads, known for their reliability, scalability, and support for operating systems like IBM i, AIX, and Linux.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09c961081909848acec4438c300 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3005e007881909f40575d129f2c3d completed April 6, 2026, 12:37 a.m.
Created at: March 30, 2026, 9:03 p.m.