Triple
T8608952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNOME Software |
E203871
|
entity |
| Predicate | includedIn |
P1393
|
FINISHED |
| Object | Ubuntu (GNOME editions) |
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 (GNOME editions) | Statement: [GNOME Software, includedIn, Ubuntu (GNOME editions)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubuntu (GNOME editions) Context triple: [GNOME Software, includedIn, Ubuntu (GNOME editions)]
-
A.
Ubuntu
chosen
Ubuntu is a popular, user-friendly Linux distribution widely used on desktops, servers, and in cloud environments.
-
B.
Xubuntu
Xubuntu is an official Ubuntu-based Linux distribution that uses the lightweight Xfce desktop environment to provide a fast, resource-efficient system.
-
C.
Kubuntu
Kubuntu is an official Ubuntu-based Linux distribution that features the KDE Plasma desktop environment and focuses on a polished, user-friendly experience.
-
D.
Ubuntu MATE (flavor)
Ubuntu MATE is an official Ubuntu flavor that features the lightweight, traditional MATE desktop environment and focuses on a classic, user-friendly Linux 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea90dd93081908140ac0ce23be820 |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.