Triple

T8483299
Position Surface form Disambiguated ID Type / Status
Subject OS/390 E200569 entity
Predicate supportsSoftware P5090 FINISHED
Object MQSeries E41050 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: MQSeries | Statement: [OS/390, supportsSoftware, MQSeries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MQSeries
Context triple: [OS/390, supportsSoftware, MQSeries]
  • A. IBM MQ chosen
    IBM MQ is an enterprise-grade messaging middleware that enables reliable, secure, and asynchronous communication between distributed applications and systems.
  • B. IBM Integration Bus
    IBM Integration Bus is an enterprise service bus (ESB) from IBM that enables integration and transformation of data and services across diverse applications, systems, and protocols.
  • C. z/OS Communications Server
    z/OS Communications Server is IBM’s integrated networking and communications component for the z/OS mainframe operating system, providing TCP/IP, SNA, and related network services.
  • D. MSMQ
    MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
  • E. JMS
    JMS (Java Message Service) is a Java API specification that enables applications to create, send, receive, and read messages in a loosely coupled, asynchronous, and reliable messaging system.
  • 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.