Triple
T17520250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Jupyter |
E426663
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object |
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.
|
E1274322
|
NE FINISHED |
How this triple was built (4 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: JupyterHub | Statement: [Project Jupyter, develops, JupyterHub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JupyterHub Context triple: [Project Jupyter, develops, JupyterHub]
-
A.
Jupyter Server
Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
D.
Project Jupyter
Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
-
E.
SageMaker Studio
SageMaker Studio is Amazon SageMaker’s web-based integrated development environment (IDE) for building, training, and deploying machine learning models at scale.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: JupyterHub Triple: [Project Jupyter, develops, JupyterHub]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JupyterHub Target entity description: 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.
-
A.
Jupyter Server
Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
D.
Project Jupyter
Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
-
E.
SageMaker Studio
SageMaker Studio is Amazon SageMaker’s web-based integrated development environment (IDE) for building, training, and deploying machine learning models at scale.
- F. None of above. chosen
Provenance (5 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_69e452d23cf08190925510344fa36f57 |
completed | April 19, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c94237d08190bb1f874735c87803 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01cabea2b48190a690b17a88d45b40 |
completed | May 11, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cefa08f8819086cb86ce22193baa |
completed | May 11, 2026, 12:43 p.m. |
Created at: April 10, 2026, 5:49 a.m.