Triple
T11215949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python generic class definitions |
E265439
|
entity |
| Predicate | hasAlternativeSyntax |
P57346
|
FINISHED |
| Object | PEP 695 type parameter list |
—
|
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: PEP 695 type parameter list | Statement: [Python generic class definitions, hasAlternativeSyntax, PEP 695 type parameter list]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeSyntax Context triple: [Python generic class definitions, hasAlternativeSyntax, PEP 695 type parameter list]
-
A.
hasAlternativeNotation
chosen
Indicates that an entity can be represented or written in a different, equivalent form or notation.
-
B.
hasAlternativeReferent
Indicates that an entity can also be referred to or identified by an alternative name, label, or reference.
-
C.
hasAlternativeSpacing
Indicates that an entity is associated with one or more alternative ways of spacing its characters or components compared to a primary or standard form.
-
D.
hasAlternativeContext
Indicates that something is associated with an additional or different contextual setting or interpretation beyond its primary one.
-
E.
isAlternativeTo
Indicates that one entity can serve as a substitute or different option in place of another.
- 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.