Triple
T11216106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 585 |
E265442
|
entity |
| Predicate | replacesPattern |
P33703
|
FINISHED |
| Object | from typing import List with list[...] syntax |
—
|
LITERAL FINISHED |
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: from typing import List with list[...] syntax | Statement: [PEP 585, replacesPattern, from typing import List with list[...] syntax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesPattern Context triple: [PEP 585, replacesPattern, from typing import List with list[...] syntax]
-
A.
replacedPattern
chosen
Indicates that one pattern has been substituted or exchanged for another pattern in a given context.
-
B.
replacesWord
Indicates that one word is substituted for another word in a given context or expression.
-
C.
replacesInPractice
Indicates that one entity has effectively taken over the role, function, or use of another entity in real-world application or usage.
-
D.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
E.
patternModifiedFor
Indicates that an existing pattern has been altered or adapted to create a new or updated version.
- F. None of above.
Provenance (3 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.