Triple
T816627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matplotlib |
E17663
|
entity |
| Predicate | supportsEnvironment |
P11908
|
FINISHED |
| Object |
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
|
E103854
|
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: JupyterLab | Statement: [Matplotlib, supportsEnvironment, JupyterLab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JupyterLab Context triple: [Matplotlib, supportsEnvironment, JupyterLab]
-
A.
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.
-
B.
Visual Studio Code
Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
-
C.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
D.
thebe
The thebe is the fractional monetary unit of Botswana, representing one-hundredth of a Botswana pula.
-
E.
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
- 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: JupyterLab Triple: [Matplotlib, supportsEnvironment, JupyterLab]
Generated description
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JupyterLab Target entity description: JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
A.
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.
-
B.
Visual Studio Code
Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
-
C.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
D.
thebe
The thebe is the fractional monetary unit of Botswana, representing one-hundredth of a Botswana pula.
-
E.
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab621d2c819083f10bff4f66c482 |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84122cc81909b12b69e27d50008 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7b946a4348190bfe86d5b93696383 |
completed | March 4, 2026, 4:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7b9bb13f08190ad75518ba81b210d |
completed | March 4, 2026, 4:48 a.m. |
Created at: March 1, 2026, 7:38 p.m.