Triple

T816855
Position Surface form Disambiguated ID Type / Status
Subject Oracle Database E17667 entity
Predicate supportsPlatform P203 FINISHED
Object IBM AIX E40168 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: IBM AIX | Statement: [Oracle Database, supportsPlatform, IBM AIX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM AIX
Context triple: [Oracle Database, supportsPlatform, IBM 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. IBM RS/6000 systems
    IBM RS/6000 systems are a family of RISC-based workstations and servers from IBM, widely used in enterprise and technical computing environments for running UNIX (AIX) and high-performance applications.
  • E. IBM WebSphere
    IBM WebSphere is a suite of enterprise middleware and application server software designed to build, deploy, and integrate large-scale Java-based web and business applications.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab621d2c819083f10bff4f66c482 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8d1a448190be8494fa2776615a completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.