Triple

T7893151
Position Surface form Disambiguated ID Type / Status
Subject Jekyll E183285 entity
Predicate supportsContentFormat P203 FINISHED
Object Markdown E182418 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: Markdown | Statement: [Jekyll, supportsContentFormat, Markdown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markdown
Context triple: [Jekyll, supportsContentFormat, Markdown]
  • A. Markdown chosen
    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.
  • B. .md
    .md is the country code top-level domain (ccTLD) assigned to Moldova, also popularly used by medical professionals and sites related to medicine due to the "MD" abbreviation.
  • C. R Markdown
    R Markdown is a file format and authoring framework that combines R code with narrative text to create dynamic, reproducible documents, reports, and presentations.
  • 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. MkDocs
    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.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a008fb88190a039fec40483ab93 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba9c2ac8190b8faf1518390dff4 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5 p.m.