Triple
T1717695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | openSUSE |
E37325
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | ext4 |
E37465
|
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: ext4 | Statement: [openSUSE, supports, ext4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ext4 Context triple: [openSUSE, supports, ext4]
-
A.
ext4
chosen
ext4 is a widely used, journaling fourth-generation extended file system for Linux, designed for improved performance, reliability, and support for large volumes and files.
-
B.
ext2
ext2 is a widely used early Linux disk file system known for its simplicity, robustness, and lack of journaling.
-
C.
ReiserFS
ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
-
D.
XFS
XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
-
E.
F2FS
F2FS (Flash-Friendly File System) is a Linux file system optimized for NAND flash-based storage devices, designed to improve performance and lifespan on solid-state media.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6337d8408190bdba8b50652d50ae |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae6940c81909c1ebdfb0cdef5fc |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.