Triple

T11957509
Position Surface form Disambiguated ID Type / Status
Subject Metacity E284589 entity
Predicate supportsProtocol P203 FINISHED
Object EWMH E751205 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: EWMH | Statement: [Metacity, supportsProtocol, EWMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EWMH
Context triple: [Metacity, supportsProtocol, EWMH]
  • A. EWMH chosen
    EWMH (Extended Window Manager Hints) is a widely used specification that defines how X11 window managers and desktop environments should interact to provide consistent window management features and behaviors.
  • B. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • 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. DWM
    DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
  • E. Xfwm4
    Xfwm4 is the lightweight, compositing window manager used by the Xfce desktop environment on Unix-like systems.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471c931a88190a9d29262c62b9472 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.