Triple
T1835205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | z/OS |
E41049
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | MQ for z/OS |
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: MQ for z/OS | Statement: [z/OS, supports, MQ for z/OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MQ for z/OS Context triple: [z/OS, supports, MQ for z/OS]
-
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.
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.
-
C.
MSMQ
MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
-
D.
z/VM
z/VM is IBM's mainframe virtualization operating system that allows multiple virtual machines to run concurrently on IBM System z hardware.
-
E.
z/OS
z/OS is IBM’s 64-bit mainframe operating system designed for high-volume, secure, and reliable enterprise computing workloads.
- 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.