Triple
T18051236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heapq |
E431929
|
entity |
| Predicate | availableIn |
P795
|
FINISHED |
| Object | Python 2 |
—
|
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 2 | Statement: [heapq, availableIn, Python 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python 2 Context triple: [heapq, availableIn, Python 2]
-
A.
Python 2.7
chosen
Python 2.7 is a legacy version of the Python programming language that was widely used for many years before reaching its official end-of-life in 2020.
-
B.
Python 2.0
Python 2.0 is a major early release of the Python programming language that introduced significant new features and improvements, helping to shape Python’s modern development ecosystem.
-
C.
Python 2.1
Python 2.1 is an early 2001 release of the Python programming language that introduced several core features and standard library enhancements that shaped modern Python development.
-
D.
Python 2.5
Python 2.5 is an older major release of the Python programming language that introduced several significant features and standard library enhancements, helping pave the way toward the more modern Python 3 series.
-
E.
Python 3.2
Python 3.2 is a version of the Python programming language that introduced several standard library enhancements and language improvements over the 3.1 release.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.