Triple
T11215906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python generic types |
E265438
|
entity |
| Predicate | syntaxChangedIn |
P97886
|
FINISHED |
| Object | Python 3.9 with built-in generics like list[int] |
—
|
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: Python 3.9 with built-in generics like list[int] | Statement: [Python generic types, syntaxChangedIn, Python 3.9 with built-in generics like list[int]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syntaxChangedIn Context triple: [Python generic types, syntaxChangedIn, Python 3.9 with built-in generics like list[int]]
-
A.
namespaceChangedTo
Indicates that an entity’s namespace has been updated or reassigned from its previous value to a new one.
-
B.
namespaceChangedFrom
Indicates that an entity’s namespace has been modified, specifying the previous namespace it was changed from.
-
C.
changedFrom
Indicates that an entity previously had one state, value, or form and was altered or updated from that prior condition to a new one.
-
D.
changedNameIn
Indicates that an entity has altered or adopted a different name within a specific context, time period, or jurisdiction.
-
E.
changesWith
Indicates that one entity varies or is modified in response to changes in another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.