Triple
T816429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pandas |
E17660
|
entity |
| Predicate | ecosystem |
P964
|
FINISHED |
| Object |
Python scientific stack
The Python scientific stack is a collection of interoperable libraries and tools (such as NumPy, SciPy, pandas, and Matplotlib) used for scientific computing, data analysis, and visualization in Python.
|
E100298
|
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: Python scientific stack | Statement: [pandas, ecosystem, Python scientific stack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python scientific stack Context triple: [pandas, ecosystem, Python scientific stack]
-
A.
SciPy
SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
-
B.
SciPy Developers
SciPy Developers are the community of programmers and contributors responsible for maintaining and advancing the SciPy scientific computing library for Python.
-
C.
NumPy
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
D.
Python Consortium
The Python Consortium was an early industry-backed organization that coordinated corporate support and development for the Python programming language before its role was taken over by the Python Software Foundation.
-
E.
Advanced Scientific Computing Research program
The Advanced Scientific Computing Research program is a U.S. Department of Energy initiative that advances high-performance computing, applied mathematics, and computer science to enable cutting-edge scientific discovery.
- 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: Python scientific stack Triple: [pandas, ecosystem, Python scientific stack]
Generated description
The Python scientific stack is a collection of interoperable libraries and tools (such as NumPy, SciPy, pandas, and Matplotlib) used for scientific computing, data analysis, and visualization in Python.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Python scientific stack Target entity description: The Python scientific stack is a collection of interoperable libraries and tools (such as NumPy, SciPy, pandas, and Matplotlib) used for scientific computing, data analysis, and visualization in Python.
-
A.
SciPy
SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
-
B.
SciPy Developers
SciPy Developers are the community of programmers and contributors responsible for maintaining and advancing the SciPy scientific computing library for Python.
-
C.
NumPy
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
D.
Theano
Theano is an open-source numerical computation library for Python that allows efficient definition, optimization, and evaluation of mathematical expressions, particularly those involving multi-dimensional arrays, and was widely used as a backend for deep learning frameworks.
-
E.
Python Consortium
The Python Consortium was an early industry-backed organization that coordinated corporate support and development for the Python programming language before its role was taken over by the Python Software Foundation.
- 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_69a7928f8a808190aaf5f2a2f3ee676f |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a7976b7334819082bb9f40601c1092 |
completed | March 4, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a79b206a5481908591ee9e1d6b3fdd |
completed | March 4, 2026, 2:38 a.m. |
Created at: March 1, 2026, 7:38 p.m.