Triple
T4832019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atom |
E107966
|
entity |
| Predicate | supportsLanguage |
P2177
|
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: [Atom, supportsLanguage, Markdown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markdown Context triple: [Atom, supportsLanguage, 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc924e08190b03a7541c629aff9 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd4224c8190be7568bb611f81a3 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.