Triple

T2556030
Position Surface form Disambiguated ID Type / Status
Subject Database Tuning Advisor E56731 entity
Predicate runsOn P23 FINISHED
Object Windows E5904 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: Windows | Statement: [Database Tuning Advisor, runsOn, Windows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows
Context triple: [Database Tuning Advisor, runsOn, Windows]
  • A. Windows chosen
    Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
  • B. Windows PC
    A Windows PC is a personal computer running the Microsoft Windows operating system, commonly used for gaming, productivity, and general-purpose computing.
  • C. Windows 7
    Windows 7 is a Microsoft operating system known for its improved performance, refined user interface, and widespread adoption following Windows Vista.
  • D. Windows NT
    Windows NT is a family of Microsoft operating systems designed with a robust, secure, and modular architecture for professional and enterprise use.
  • E. Windows 10
    Windows 10 is a major version of Microsoft's Windows operating system that introduced a unified platform across PCs, tablets, and other devices, featuring the return of the Start menu and continuous feature updates.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30eec988190810346bb8b6cb489 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1ad6b4819097f1d18a12aa2b89 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.