Triple
T3244828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VirtualBox |
E68043
|
entity |
| Predicate | supportsNestedPaging |
P46789
|
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: [VirtualBox, supportsNestedPaging, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNestedPaging Context triple: [VirtualBox, supportsNestedPaging, yes]
-
A.
hasPage
Indicates that one entity includes, is associated with, or is documented by a specific page (such as a web page or document page).
-
B.
hasPageCountApprox
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
C.
hasDependentSupport
Indicates that one entity provides financial or material support for another entity who is recognized as a dependent.
-
D.
hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
-
E.
supportsExtentBasedAllocation
Indicates that one entity provides or enables allocation of resources based on contiguous extents rather than fixed-size blocks.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1982448190b3d60c9e4471421f |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.