Triple

T8483250
Position Surface form Disambiguated ID Type / Status
Subject MVS E200568 entity
Predicate notableComponent P7734 FINISHED
Object JES3 E207194 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: JES3 | Statement: [MVS, notableComponent, JES3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JES3
Context triple: [MVS, notableComponent, JES3]
  • A. JES3 chosen
    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.
  • B. JES2
    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.
  • C. 3JS
    3JS is a Dutch pop band from Volendam known for their melodic songs and harmonies within the Nederpop tradition.
  • D. JSE
    JSE is the Johannesburg Stock Exchange, the primary securities exchange in South Africa and one of the largest in Africa.
  • E. JEP
    JEP is a leading peer-reviewed academic journal that publishes accessible, survey-style articles on a wide range of economics topics for both specialists and informed non-specialists.
  • 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.