Triple
T27663483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LINE |
E697175
|
entity |
| Predicate | hasDesktopClient |
P84628
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [LINE, hasDesktopClient, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesktopClient Context triple: [LINE, hasDesktopClient, yes]
-
A.
hasGUIClient
Indicates that an entity is associated with or provides a graphical user interface (GUI) client.
-
B.
designedForDesktopEnvironment
chosen
Indicates that something is intended or optimized to be used within a desktop computing environment.
-
C.
isDesktopAgnostic
Indicates that something functions correctly and consistently across different desktop environments or operating systems without requiring platform-specific adaptations.
-
D.
hasNotableClientType
Indicates that an entity has clients belonging to a particular notable or distinguished category or type.
-
E.
hasDefaultDesktopEnvironment
Indicates that a particular desktop environment is the standard or preconfigured graphical interface for a given system or distribution.
- F. None of above.
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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 27, 2026, 2:37 p.m.