Triple

T8993215
Position Surface form Disambiguated ID Type / Status
Subject OS/VS2 E214838 entity
Predicate supports P516 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: [OS/VS2, supports, JES2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JES2
Context triple: [OS/VS2, supports, 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. JSEC
    JSEC is a NATO operational-level command responsible for coordinating logistics, reinforcement, and freedom of movement across Europe in support of allied operations.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.