Triple
T4275672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swift Standard Library |
E97042
|
entity |
| Predicate | includesType |
P121
|
FINISHED |
| Object |
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.
|
E427886
|
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: UInt | Statement: [Swift Standard Library, includesType, UInt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UInt Context triple: [Swift Standard Library, includesType, UInt]
-
A.
UNOCT
UNOCT is the United Nations Office of Counter-Terrorism, the UN body responsible for leading and coordinating global efforts to prevent and combat terrorism.
-
B.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
C.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
D.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
E.
the U
The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
- 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: UInt Triple: [Swift Standard Library, includesType, UInt]
Generated description
UInt is Swift’s built-in unsigned integer type used for representing nonnegative whole numbers whose size matches the platform’s native word size.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UInt Target entity description: UInt is Swift’s built-in unsigned integer type used for representing nonnegative whole numbers whose size matches the platform’s native word size.
-
A.
UNOCT
UNOCT is the United Nations Office of Counter-Terrorism, the UN body responsible for leading and coordinating global efforts to prevent and combat terrorism.
-
B.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
C.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
D.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
E.
the U
The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501c35688190a7d15d904f15f968 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b0b2ec819090ccf042917ae207 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5b8ac37c88190ad2c6a8358e17554 |
completed | March 14, 2026, 7:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b92eec8c81908c114238af39450f |
completed | March 14, 2026, 7:38 p.m. |
Created at: March 12, 2026, 11:07 p.m.