Triple
T14343632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | javax.swing |
E355660
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
JTextArea
JTextArea is a Swing component in Java used to display and edit multiple lines of plain text within a graphical user interface.
|
E355660
|
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: JTextArea | Statement: [javax.swing, contains, JTextArea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JTextArea Context triple: [javax.swing, contains, JTextArea]
-
A.
javax.swing
javax.swing is a Java package that provides a set of lightweight, platform-independent GUI components for building desktop applications.
-
B.
TextWindow object
The TextWindow object is a core Small Basic component that provides a simple text-based console for input and output operations in beginner-friendly programs.
-
C.
TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
D.
NSText
NSText is a fundamental Cocoa text-handling class in macOS development that provides the basic infrastructure for displaying, editing, and managing text in Application Kit–based applications.
-
E.
KTextEditor
KTextEditor is a powerful text editing framework from KDE that provides advanced code editing, syntax highlighting, and plugin support for applications like Kate and KWrite.
- 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: JTextArea Triple: [javax.swing, contains, JTextArea]
Generated description
JTextArea is a Swing component in Java used to display and edit multiple lines of plain text within a graphical user interface.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JTextArea Target entity description: JTextArea is a Swing component in Java used to display and edit multiple lines of plain text within a graphical user interface.
-
A.
javax.swing
chosen
javax.swing is a Java package that provides a set of lightweight, platform-independent GUI components for building desktop applications.
-
B.
TextWindow object
The TextWindow object is a core Small Basic component that provides a simple text-based console for input and output operations in beginner-friendly programs.
-
C.
TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
D.
NSText
NSText is a fundamental Cocoa text-handling class in macOS development that provides the basic infrastructure for displaying, editing, and managing text in Application Kit–based applications.
-
E.
KTextEditor
KTextEditor is a powerful text editing framework from KDE that provides advanced code editing, syntax highlighting, and plugin support for applications like Kate and KWrite.
- F. None of above.
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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 10, 2026, 1:14 a.m.