Triple

T805107
Position Surface form Disambiguated ID Type / Status
Subject Codex E17412 entity
Predicate supportsLanguage P2177 FINISHED
Object PowerShell E37350 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: PowerShell | Statement: [Codex, supportsLanguage, PowerShell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PowerShell
Context triple: [Codex, supportsLanguage, PowerShell]
  • A. PowerShell chosen
    PowerShell is a task automation and configuration management framework from Microsoft, featuring a powerful command-line shell and scripting language built on .NET.
  • B. Windows Presentation Foundation
    Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
  • C. Microsoft Power Platform
    Microsoft Power Platform is a low-code development suite from Microsoft that enables users to analyze data, build custom business apps, automate workflows, and create virtual agents using integrated tools like Power BI, Power Apps, Power Automate, and Power Virtual Agents.
  • D. Windows
    Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
  • E. WSH
    WSH is the stock ticker symbol for Willis Group Holdings, a global insurance brokerage and risk management firm.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabff3d88190bec4299fa0d87df0 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68926c04081908923a7d114d1842d completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:38 p.m.