Triple

T8175620
Position Surface form Disambiguated ID Type / Status
Subject Language Server Protocol E190930 entity
Predicate usedBy P260 FINISHED
Object Vim E308599 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: Vim | Statement: [Language Server Protocol, usedBy, Vim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vim
Context triple: [Language Server Protocol, usedBy, Vim]
  • A. Vim chosen
    Vim is a highly configurable, keyboard-driven text editor renowned for its efficiency, modal editing, and extensive plugin ecosystem, widely used by programmers and power users.
  • B. Neovim
    Neovim is a modern, extensible, and highly configurable fork of the Vim text editor, designed to improve usability, maintainability, and plugin integration for developers.
  • C. Sublime Text
    Sublime Text is a fast, cross-platform, extensible text editor popular among developers for its powerful features and plugin ecosystem.
  • D. vi text editor
    The vi text editor is a classic, modal, screen-oriented text editor for Unix systems that became a standard tool for programmers and system administrators.
  • E. Visual Studio Code
    Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4ab8295081909a450fcaa34f6ec6 completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf6d4ba881908f1bac9cce6cc29d completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.