Triple

T7857719
Position Surface form Disambiguated ID Type / Status
Subject Markdown E182418 entity
Predicate commonlyUsedWith P3100 FINISHED
Object MkDocs E431946 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: MkDocs | Statement: [Markdown, commonlyUsedWith, MkDocs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MkDocs
Context triple: [Markdown, commonlyUsedWith, MkDocs]
  • A. MkDocs chosen
    MkDocs is a static site generator geared toward building project documentation from Markdown files, typically configured with a simple YAML file and extensible through themes and plugins.
  • B. Read the Docs
    Read the Docs is an open-source documentation hosting platform that automatically builds, version-manages, and serves technical docs for software projects.
  • C. Jekyll static site generator
    Jekyll is a popular open-source static site generator, written in Ruby, that transforms plain text files into simple, blog-aware websites without requiring a database.
  • D. Jekyll
    Jekyll is a 2007 British television drama series created by Steven Moffat that offers a modern, suspenseful reimagining of Robert Louis Stevenson’s classic Dr. Jekyll and Mr. Hyde story.
  • E. GitHub Pages
    GitHub Pages is a static site hosting service that lets users publish web pages directly from their GitHub repositories.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a76f8648190976b488d0d8658ef completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b32eaf88190aae55aaeb963c50b completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:52 p.m.