Triple
T32378337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .NET generics |
E827345
|
entity |
| Predicate | exampleTypeParameterNotation |
P173995
|
FINISHED |
| Object | T |
—
|
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: T | Statement: [.NET generics, exampleTypeParameterNotation, T]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleTypeParameterNotation Context triple: [.NET generics, exampleTypeParameterNotation, T]
-
A.
exampleType
Indicates that one entity serves as a representative or illustrative instance of the type or category defined by another entity.
-
B.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
C.
constructorParameterType
Indicates that a given parameter of a constructor has a specific data type.
-
D.
genericTypeParameterCount
Indicates the number of generic type parameters associated with a given type, method, or construct.
-
E.
usedWithType
Indicates that something is typically or appropriately used together with items of a specified type.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c13307548190b3e209bff21ab524 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:51 a.m.