Triple
T18799423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bokeh |
E459723
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Bokeh server |
—
|
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: Bokeh server | Statement: [Bokeh, component, Bokeh server]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bokeh server Context triple: [Bokeh, component, Bokeh server]
-
A.
Jupyter Server
Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
-
B.
JupyterHub
JupyterHub is an open-source platform that enables multiple users to access and run Jupyter notebook environments on shared infrastructure, typically for education, research, and collaborative computing.
-
C.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
D.
Jupyter
Jupyter is an open-source project that provides interactive computing tools, most notably Jupyter Notebooks, for data science, scientific computing, and education across multiple programming languages.
-
E.
JupyterLite
JupyterLite is a lightweight, browser-based distribution of Jupyter that runs entirely in the web using WebAssembly and in-browser storage, enabling notebooks without a traditional server or local installation.
- 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: Bokeh server Target entity description: Bokeh server is the backend component of the Bokeh visualization library that enables building and serving interactive, real-time web-based data applications in Python.
-
A.
Jupyter Server
Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
-
B.
JupyterHub
JupyterHub is an open-source platform that enables multiple users to access and run Jupyter notebook environments on shared infrastructure, typically for education, research, and collaborative computing.
-
C.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
D.
Jupyter
Jupyter is an open-source project that provides interactive computing tools, most notably Jupyter Notebooks, for data science, scientific computing, and education across multiple programming languages.
-
E.
JupyterLite
JupyterLite is a lightweight, browser-based distribution of Jupyter that runs entirely in the web using WebAssembly and in-browser storage, enabling notebooks without a traditional server or local installation.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.