Triple

T17323609
Position Surface form Disambiguated ID Type / Status
Subject Francis Wayland E420626 entity
Predicate familyName P18 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: [Francis Wayland, familyName, Wayland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayland
Context triple: [Francis Wayland, familyName, 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. XWayland
    XWayland is a compatibility layer that allows traditional X11 applications to run seamlessly within Wayland-based display servers.
  • D. wlroots
    wlroots is a modular, compositor-focused library that provides building blocks for creating Wayland compositors, widely used in lightweight and tiling window managers.
  • E. Wayfire
    Wayfire is a 3D Wayland compositor for Linux that focuses on eye-candy effects and plugin-driven customization, inspired by Compiz.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d0cf2481908a018593ef39fd18 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4a6630819082998cf754e8361f completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.