Triple
T28505043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xfce4-taskmanager |
E721344
|
entity |
| Predicate | hasScreenshot |
P35981
|
FINISHED |
| Object | task list window with CPU and memory columns |
—
|
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: task list window with CPU and memory columns | Statement: [xfce4-taskmanager, hasScreenshot, task list window with CPU and memory columns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenshot Context triple: [xfce4-taskmanager, hasScreenshot, task list window with CPU and memory columns]
-
A.
screenshotCapability
chosen
Indicates the ability of an entity (such as a device, application, or system) to capture and produce screenshots of visual content.
-
B.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
C.
hasPhotograph
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
-
D.
hasPhotoFeature
Indicates that an entity possesses a characteristic, capability, or option specifically related to photos or photography.
-
E.
screensAt
Indicates that one entity shows, projects, or displays another entity (such as a film, program, or content) on a screen or at a screening venue.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 3:09 a.m.