Triple
T18784107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | modENCODE project |
E459329
|
entity |
| Predicate | hasPublication |
P80
|
FINISHED |
| Object | Science 2010 modENCODE integrative analysis papers |
—
|
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: Science 2010 modENCODE integrative analysis papers | Statement: [modENCODE project, hasPublication, Science 2010 modENCODE integrative analysis papers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Science 2010 modENCODE integrative analysis papers Context triple: [modENCODE project, hasPublication, Science 2010 modENCODE integrative analysis papers]
-
A.
modENCODE project
The modENCODE project is a large-scale genomics initiative aimed at comprehensively identifying and annotating functional elements in model organisms such as Drosophila melanogaster and Caenorhabditis elegans.
-
B.
Genome Data Viewer
Genome Data Viewer is an NCBI web-based genome browser that allows users to visualize, explore, and analyze annotated genomic sequences and features.
-
C.
GEO DataSets
GEO DataSets is a public NCBI repository that organizes and provides access to curated gene expression and other functional genomics experiment data.
-
D.
The Language of the Genes
The Language of the Genes is a popular science book by geneticist Steve Jones that explains how genetics shapes human evolution, diversity, and behavior in accessible terms.
-
E.
Edico Genome
Edico Genome was a biotechnology company specializing in high-speed genomic data analysis through its DRAGEN bio-IT platform and FPGA-based acceleration technology.
- 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: Science 2010 modENCODE integrative analysis papers Target entity description: The Science 2010 modENCODE integrative analysis papers are a landmark set of publications that combined large-scale genomic, epigenomic, and transcriptomic data to comprehensively map functional elements in model organisms such as Drosophila melanogaster and Caenorhabditis elegans.
-
A.
modENCODE project
chosen
The modENCODE project is a large-scale genomics initiative aimed at comprehensively identifying and annotating functional elements in model organisms such as Drosophila melanogaster and Caenorhabditis elegans.
-
B.
Genome Data Viewer
Genome Data Viewer is an NCBI web-based genome browser that allows users to visualize, explore, and analyze annotated genomic sequences and features.
-
C.
GEO DataSets
GEO DataSets is a public NCBI repository that organizes and provides access to curated gene expression and other functional genomics experiment data.
-
D.
The Language of the Genes
The Language of the Genes is a popular science book by geneticist Steve Jones that explains how genetics shapes human evolution, diversity, and behavior in accessible terms.
-
E.
Edico Genome
Edico Genome was a biotechnology company specializing in high-speed genomic data analysis through its DRAGEN bio-IT platform and FPGA-based acceleration technology.
- F. None of above.
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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977ffa648190be5f682bba47fb0a |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:52 a.m.