Triple
T17519300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Responder |
E426644
|
entity |
| Predicate | supportsPythonVersion |
P203
|
FINISHED |
| Object | Python 3 |
—
|
NE NERFINISHED |
How this triple was built (2 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 3 | Statement: [Responder, supportsPythonVersion, Python 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python 3 Context triple: [Responder, supportsPythonVersion, Python 3]
-
A.
Python 3.x
chosen
Python 3.x is the major, actively developed series of the Python programming language that introduced significant improvements and changes over Python 2, including cleaner syntax, better Unicode support, and a more consistent standard library.
-
B.
Python 3.7
Python 3.7 is a version of the Python programming language that introduced features like data classes, postponed evaluation of type annotations, and various performance and standard library improvements.
-
C.
Python 3.8
Python 3.8 is a major release of the Python programming language that introduced several new language features, performance improvements, and standard library enhancements.
-
D.
Python 3.9
Python 3.9 is a stable release of the Python programming language that introduced features like dictionary union operators, type hinting improvements, and new string methods before being succeeded by Python 3.10.
-
E.
Python
Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d18c1c81908bb843bbddb44ca1 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.