Triple

T7857712
Position Surface form Disambiguated ID Type / Status
Subject Markdown E182418 entity
Predicate standardizedBy P1371 FINISHED
Object CommonMark specification E695746 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: CommonMark specification | Statement: [Markdown, standardizedBy, CommonMark specification]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CommonMark specification
Context triple: [Markdown, standardizedBy, CommonMark specification]
  • A. CommonMark chosen
    CommonMark is a standardized, highly compatible specification of Markdown syntax designed to eliminate ambiguities and ensure consistent rendering across different implementations.
  • B. cmark
    cmark is a widely used C reference implementation of the CommonMark specification for parsing and rendering Markdown.
  • C. MultiMarkdown
    MultiMarkdown is an extended version of the Markdown markup language that adds features like tables, footnotes, citations, and document metadata for more complex publishing needs.
  • D. GitHub Flavored Markdown
    GitHub Flavored Markdown is an extended version of Markdown used on GitHub that adds features like fenced code blocks, tables, task lists, and syntax highlighting tailored for software development workflows.
  • E. Markdown
    Markdown is a lightweight markup language that uses plain-text formatting syntax to create structured documents, most commonly used for README files, documentation, and web content.
  • 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_69cbdf3828fc81908a118420a6b0a736 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 4:52 p.m.