Triple
T18222357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | knitr |
E436335
|
entity |
| Predicate | supportsEngine |
P18380
|
FINISHED |
| Object | Rcpp |
—
|
NE NERFINISHED |
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: Rcpp | Statement: [knitr, supportsEngine, Rcpp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rcpp Context triple: [knitr, supportsEngine, Rcpp]
-
A.
Rcpp
chosen
Rcpp is an R package that facilitates seamless integration of C++ code with R, enabling faster and more efficient computation in R programs.
-
B.
R (programming language)
R is an open-source programming language and software environment widely used for statistical computing, data analysis, and graphical visualization.
-
C.
R Project for Statistical Computing
The R Project for Statistical Computing is an open-source programming language and software environment widely used for statistical analysis, data visualization, and data science.
-
D.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
-
E.
S programming language
The S programming language is a statistical computing language developed at Bell Labs that heavily influenced the design of the R language and modern data analysis tools.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.