Triple
T9004019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation framework |
E215098
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | NSData |
E236684
|
NE 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: NSData | Statement: [Foundation framework, includes, NSData]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSData Context triple: [Foundation framework, includes, NSData]
-
A.
NSData
chosen
NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
-
B.
NSString
NSString is an Objective-C class representing immutable Unicode strings, widely used as the primary string type in Apple’s Cocoa and Cocoa Touch frameworks.
-
C.
DAT
DAT is the ICAO airline designator assigned to Lynx Air, a Canadian low-cost carrier.
-
D.
Core Data
Core Data is Apple’s object graph and persistence framework used in macOS and iOS apps to manage and store model layer data.
-
E.
IDataObject
IDataObject is a core COM interface used in OLE for transferring and managing data, particularly in clipboard and drag-and-drop operations on Windows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6959497c8190a748c78504dd2eb6 |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e3f0c88190ae688632be25e5c9 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.