Triple
T8247233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MX Linux |
E192877
|
entity |
| Predicate | hasGraphicalInstaller |
P81175
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MX Linux, hasGraphicalInstaller, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraphicalInstaller Context triple: [MX Linux, hasGraphicalInstaller, true]
-
A.
usesVisualMotif
Indicates that one entity employs a recurring visual element or pattern as a motif in relation to another entity or context.
-
B.
supportsInstallationMedia
Indicates that one entity is capable of accepting, handling, or working with a specified type of installation media for setup or deployment purposes.
-
C.
installationMedia
Indicates that something serves as or is used as the medium (such as a disk, image, or package) through which a software or system is installed.
-
D.
hasCommandLineInterface
Indicates that an entity provides or supports interaction through a command-line interface (CLI).
-
E.
typicalInstallMethod
Indicates the usual or most common method by which something is installed or set up.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7875318c819095f971ba513c54fd |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb447c146081909decf97bbd26c496 |
completed | March 31, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:48 p.m.