Triple

T1160070
Position Surface form Disambiguated ID Type / Status
Subject Node.js E24471 entity
Predicate supportsOperatingSystem P5090 FINISHED
Object 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: AIX | Statement: [Node.js, supportsOperatingSystem, AIX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIX
Context triple: [Node.js, supportsOperatingSystem, 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. HP-UX
    HP-UX is Hewlett-Packard's proprietary Unix operating system designed for enterprise servers and mission-critical computing environments.
  • E. Solaris operating system
    Solaris operating system is a Unix-based enterprise operating system known for its scalability, robustness, and advanced features such as ZFS, DTrace, and strong support for SPARC and x86 architectures.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ebbf80881909010e1e1e59212d4 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:45 p.m.