Triple
T17521718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bioconductor |
E426691
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | limma package |
—
|
NE NERFINISHED |
How this triple was built (3 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: limma package | Statement: [Bioconductor, hasComponent, limma package]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: limma package Context triple: [Bioconductor, hasComponent, limma package]
-
A.
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.
-
B.
lme4
lme4 is a widely used R package for fitting linear and generalized linear mixed-effects models using efficient numerical optimization methods.
-
C.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
-
D.
GEO DataSets
GEO DataSets is a public NCBI repository that organizes and provides access to curated gene expression and other functional genomics experiment data.
-
E.
OncoAnalytics
OncoAnalytics is a data and analytics platform by Flatiron Health that provides real-world oncology insights to support cancer research and clinical decision-making.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: limma package Target entity description: The limma package is a widely used Bioconductor R toolkit for analyzing gene expression data, particularly for differential expression in microarray and RNA-seq experiments.
-
A.
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.
-
B.
lme4
lme4 is a widely used R package for fitting linear and generalized linear mixed-effects models using efficient numerical optimization methods.
-
C.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
-
D.
GEO DataSets
GEO DataSets is a public NCBI repository that organizes and provides access to curated gene expression and other functional genomics experiment data.
-
E.
OncoAnalytics
OncoAnalytics is a data and analytics platform by Flatiron Health that provides real-world oncology insights to support cancer research and clinical decision-making.
- F. None of above. chosen
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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.