Triple

T7330676
Position Surface form Disambiguated ID Type / Status
Subject College Hill E168989 entity
Predicate borders P224 FINISHED
Object Wayland E106102 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: Wayland | Statement: [College Hill, borders, Wayland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayland
Context triple: [College Hill, borders, Wayland]
  • A. 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.
  • B. Wayland chosen
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • C. wlroots
    wlroots is a modular, compositor-focused library that provides building blocks for creating Wayland compositors, widely used in lightweight and tiling window managers.
  • D. Chromium (Wayland backend)
    Chromium (Wayland backend) is a build and configuration of the Chromium web browser that uses the Wayland display protocol for native windowing and graphics on Linux systems.
  • E. KWin
    KWin is the KDE Plasma desktop environment’s highly configurable window manager and compositor, providing advanced window management, effects, and Wayland/X11 support.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0ab0b1881909f8f086b81fdddb7 completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef16f35881909fffba1df072f0d6 completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:03 p.m.