Triple
T8483249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVS |
E200568
|
entity |
| Predicate | notableComponent |
P7734
|
FINISHED |
| Object | JES2 |
E206666
|
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: JES2 | Statement: [MVS, notableComponent, JES2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JES2 Context triple: [MVS, notableComponent, JES2]
-
A.
JES2
chosen
JES2 (Job Entry Subsystem 2) is an IBM mainframe component that manages the input, scheduling, and output of batch jobs and print workloads in the z/OS operating system.
-
B.
JES3
JES3 is a mainframe job entry subsystem for IBM z/OS that manages and controls the scheduling, execution, and output of batch jobs across single or multiple systems.
-
C.
JSE
JSE is the Johannesburg Stock Exchange, the primary securities exchange in South Africa and one of the largest in Africa.
-
D.
JS21
JS21 is the station code assigned to Ikebukuro Station on Japan’s JR rail network.
-
E.
JED
JED is the IATA airport code for King Abdulaziz International Airport, the main international gateway serving Jeddah, Saudi Arabia.
- 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.