Triple
T4371817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R |
E98913
|
entity |
| Predicate | packageRepository |
P19956
|
FINISHED |
| Object | CRAN |
E97083
|
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: CRAN | Statement: [R, packageRepository, CRAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRAN Context triple: [R, packageRepository, CRAN]
-
A.
CRAN
chosen
CRAN is the Comprehensive R Archive Network, a primary repository for R packages, source code, and documentation used by the R programming community.
-
B.
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.
-
C.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
D.
R Core Team
R Core Team is the group of developers responsible for maintaining and advancing the R programming language and its core infrastructure.
-
E.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
- 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_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. |
Created at: March 12, 2026, 11:17 p.m.