Triple

T148165
Position Surface form Disambiguated ID Type / Status
Subject Tableau E3373 entity
Predicate operatingSystem P1593 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: [Tableau, operatingSystem, Windows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows
Context triple: [Tableau, operatingSystem, 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. Microsoft
    Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
  • C. Linux
    Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
  • D. WSH
    WSH is the standard sports abbreviation for the Washington Commanders, the National Football League team based in the Washington, D.C. area.
  • E. Internet Explorer
    Internet Explorer is a discontinued web browser that was once the dominant way to access the web on Windows computers.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ecb6f48190992c4c8ca908a81c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52df3b48190960c53fd872ff897 completed Feb. 28, 2026, 10:36 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.