Triple
T7897279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System |
E183368
|
entity |
| Predicate | containsType |
P16808
|
FINISHED |
| Object |
System.UInt32
System.UInt32 is a .NET value type representing a 32-bit unsigned integer, typically used for non-negative whole numbers in the range 0 to 4,294,967,295.
|
E697469
|
NE FINISHED |
How this triple was built (4 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: System.UInt32 | Statement: [System, containsType, System.UInt32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: System.UInt32 Context triple: [System, containsType, System.UInt32]
-
A.
UInt
UInt is Swift’s built-in unsigned integer type used for representing nonnegative whole numbers whose size matches the platform’s native word size.
-
B.
F32
F32 is BMW’s internal model code for the first-generation 4 Series coupe, introduced as a sporty, premium compact executive car.
-
C.
System.Collections
System.Collections is a .NET namespace that provides fundamental interfaces and classes for working with non-generic collections such as lists, queues, arrays, and dictionaries.
-
D.
Kernel32
Kernel32 is a core Windows system library that provides fundamental kernel-level functions for process, memory, and thread management in the Win32 API.
-
E.
CIL
CIL is the standard scholarly abbreviation for the Corpus Inscriptionum Latinarum, the comprehensive collection of ancient Latin inscriptions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: System.UInt32 Triple: [System, containsType, System.UInt32]
Generated description
System.UInt32 is a .NET value type representing a 32-bit unsigned integer, typically used for non-negative whole numbers in the range 0 to 4,294,967,295.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: System.UInt32 Target entity description: System.UInt32 is a .NET value type representing a 32-bit unsigned integer, typically used for non-negative whole numbers in the range 0 to 4,294,967,295.
-
A.
UInt
UInt is Swift’s built-in unsigned integer type used for representing nonnegative whole numbers whose size matches the platform’s native word size.
-
B.
F32
F32 is BMW’s internal model code for the first-generation 4 Series coupe, introduced as a sporty, premium compact executive car.
-
C.
System.Collections
System.Collections is a .NET namespace that provides fundamental interfaces and classes for working with non-generic collections such as lists, queues, arrays, and dictionaries.
-
D.
Kernel32
Kernel32 is a core Windows system library that provides fundamental kernel-level functions for process, memory, and thread management in the Win32 API.
-
E.
CIL
CIL is the standard scholarly abbreviation for the Corpus Inscriptionum Latinarum, the comprehensive collection of ancient Latin inscriptions.
- F. None of above. chosen
Provenance (5 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb24c8c8190860e4dd1d705b04b |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1e84fc8190b535016cb69405b4 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76a214488190b90e5db28511daa0 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.