Triple
T1846377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LXQt |
E41291
|
entity |
| Predicate | packageAvailableOn |
P13910
|
FINISHED |
| Object | openSUSE |
E37325
|
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: openSUSE | Statement: [LXQt, packageAvailableOn, openSUSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: openSUSE Context triple: [LXQt, packageAvailableOn, openSUSE]
-
A.
openSUSE
chosen
openSUSE is a community-driven Linux distribution known for its stability, powerful administration tools like YaST, and close association with SUSE Linux Enterprise.
-
B.
SUSE
SUSE is a German-based open-source software company best known for its enterprise Linux distributions and related infrastructure solutions.
-
C.
Trisquel
Trisquel is a fully free, community-driven GNU/Linux distribution based on Ubuntu, endorsed by the Free Software Foundation for its commitment to software freedom.
-
D.
Fedora Linux
Fedora Linux is a community-driven, cutting-edge Linux distribution sponsored by Red Hat, known for integrating the latest open-source technologies and serving as a foundation for other projects and operating systems.
-
E.
Fedora
Fedora is a 1978 drama film by Billy Wilder that explores the tragic mystique and hidden costs of Hollywood stardom.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c2354081909ee4da7669932796 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c2e0a081909f521e6f73956239 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:33 p.m.