Triple

T1490505
Position Surface form Disambiguated ID Type / Status
Subject Arena E29565 entity
Predicate platform P1292 FINISHED
Object X Window System E59590 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: X Window System | Statement: [Arena, platform, X Window System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: X Window System
Context triple: [Arena, platform, X Window System]
  • A. X11 chosen
    X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
  • B. Desktop Window Manager
    Desktop Window Manager is the compositing window manager in modern Microsoft Windows that handles visual effects, window rendering, and desktop composition using hardware acceleration.
  • C. Wayland
    Wayland is a modern display server protocol for Linux and other Unix-like systems designed to replace the X Window System with a simpler, more efficient architecture.
  • D. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • E. GNOME desktop environment
    The GNOME desktop environment is a popular, user-friendly and modern graphical desktop interface for Unix-like operating systems, emphasizing simplicity, accessibility, and integration.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c233ec819087e1233af02aabfc completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca98e64819097916eb7717e6364 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:12 p.m.