Triple
T4371843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R |
E98913
|
entity |
| Predicate | hasPackage |
P14571
|
FINISHED |
| Object |
knitr
knitr is an R package that enables dynamic report generation by integrating R code with documents in formats like R Markdown, LaTeX, and HTML.
|
E436335
|
NE FINISHED |
How this triple was built (4 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: knitr | Statement: [R, hasPackage, knitr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: knitr Context triple: [R, hasPackage, knitr]
-
A.
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.
-
B.
LaTeX
LaTeX is a widely used, high-quality typesetting system particularly popular in academia for producing technical and scientific documents with precise control over layout and mathematical notation.
-
C.
LaTeX Companion
The LaTeX Companion is a comprehensive reference book that explains advanced LaTeX features, packages, and best practices for typesetting professional-quality documents.
-
D.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
E.
KOMA
KOMA is the ICAO airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: knitr Triple: [R, hasPackage, knitr]
Generated description
knitr is an R package that enables dynamic report generation by integrating R code with documents in formats like R Markdown, LaTeX, and HTML.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: knitr Target entity description: knitr is an R package that enables dynamic report generation by integrating R code with documents in formats like R Markdown, LaTeX, and HTML.
-
A.
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.
-
B.
Sweave
Sweave is a tool in the R ecosystem that enables dynamic report generation by integrating statistical analysis code with LaTeX documents for reproducible research.
-
C.
LaTeX
LaTeX is a widely used, high-quality typesetting system particularly popular in academia for producing technical and scientific documents with precise control over layout and mathematical notation.
-
D.
LaTeX Companion
The LaTeX Companion is a comprehensive reference book that explains advanced LaTeX features, packages, and best practices for typesetting professional-quality documents.
-
E.
tidyverse
tidyverse is a collection of R packages designed for data science, emphasizing a consistent, human-readable grammar for data manipulation, visualization, and analysis.
- F. None of above. chosen
Provenance (5 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50bcc9481909b0b9d60198dce63 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5eeadd68881909820a75aaff9d8d5 |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef36f2bc8190a21e0f2fadbdd697 |
completed | March 14, 2026, 11:28 p.m. |
Created at: March 12, 2026, 11:17 p.m.