Triple
T8247976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | linux-lts |
E192893
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | System.map-linux-lts |
E192893
|
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: System.map-linux-lts | Statement: [linux-lts, contains, System.map-linux-lts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: System.map-linux-lts Context triple: [linux-lts, contains, System.map-linux-lts]
-
A.
linux-lts
chosen
linux-lts is the long-term support Linux kernel package in Arch Linux, providing a more stable and less frequently updated kernel compared to the mainline release.
-
B.
Linux
Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
-
C.
LFS
LFS (Log-structured File System) is a file system design that writes all data sequentially in a log-like structure to optimize write performance and crash recovery, and is implemented in NetBSD.
-
D.
Dracut
Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
-
E.
linux-zen
linux-zen is a performance- and responsiveness-optimized Linux kernel variant commonly used on Arch-based systems, particularly favored by desktop and gaming users.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7875318c819095f971ba513c54fd |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3530ca148190a28761622d0cf663 |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:48 p.m.