Triple

T17559191
Position Surface form Disambiguated ID Type / Status
Subject CDE E427655 entity
Predicate runsOn P23 FINISHED
Object AIX NE NERFINISHED

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: AIX | Statement: [CDE, runsOn, AIX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIX
Context triple: [CDE, runsOn, AIX]
  • A. AIX chosen
    AIX is IBM’s proprietary Unix operating system designed for enterprise servers and high-reliability, scalable computing environments.
  • B. IBM i
    IBM i is IBM’s integrated operating system for its Power Systems servers, known for its built-in database, high reliability, and strong support for enterprise applications.
  • C. z/OS
    z/OS is IBM’s 64-bit mainframe operating system designed for high-volume, secure, and reliable enterprise computing workloads.
  • D. TSO/E
    TSO/E (Time Sharing Option/Extensions) is an IBM mainframe interactive computing environment that lets users run programs, edit data sets, and issue commands under z/OS.
  • E. OS/390
    OS/390 is an IBM mainframe operating system that evolved from the MVS family, providing robust batch and transaction processing, high reliability, and enterprise-scale workload management.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45624bfe08190991dc088394a5af4 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.