Triple
T9957495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Subsystem for Linux |
E195480
|
entity |
| Predicate | supportsDistribution |
P10379
|
FINISHED |
| Object | Ubuntu |
E192875
|
NE 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: Ubuntu | Statement: [Windows Subsystem for Linux, supportsDistribution, Ubuntu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubuntu Context triple: [Windows Subsystem for Linux, supportsDistribution, Ubuntu]
-
A.
Ubuntu
chosen
Ubuntu is a popular, user-friendly Linux distribution widely used on desktops, servers, and in cloud environments.
-
B.
Ubuntu Studio
Ubuntu Studio is an official Ubuntu flavor tailored for multimedia content creation, offering a curated suite of tools for audio, video, and graphic production.
-
C.
Xubuntu
Xubuntu is an official Ubuntu-based Linux distribution that uses the lightweight Xfce desktop environment to provide a fast, resource-efficient system.
-
D.
Kubuntu
Kubuntu is an official Ubuntu-based Linux distribution that features the KDE Plasma desktop environment and focuses on a polished, user-friendly experience.
-
E.
Edubuntu
Edubuntu is an education-focused flavor of the Ubuntu operating system designed for use in schools, classrooms, and other learning environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cceb608190ad4424afaddcabfa |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d7988948190bae81c1020f2b605 |
completed | April 5, 2026, 10:46 a.m. |
Created at: March 30, 2026, 8:46 p.m.