Triple
T28618734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | x11vnc |
E724329
|
entity |
| Predicate | displayModel |
P165768
|
FINISHED |
| Object | attaches to an existing X11 display instead of creating a new virtual display |
—
|
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: attaches to an existing X11 display instead of creating a new virtual display | Statement: [x11vnc, displayModel, attaches to an existing X11 display instead of creating a new virtual display]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayModel Context triple: [x11vnc, displayModel, attaches to an existing X11 display instead of creating a new virtual display]
-
A.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
B.
displayMethod
Indicates how something is presented or rendered, specifying the manner or technique used to display it.
-
C.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
D.
displayState
Indicates the current visual or presentation status of an item, such as whether and how it is shown, hidden, or rendered in a user interface or display context.
-
E.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
- F. None of above. chosen
Provenance (4 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 4:32 a.m.