Triple
T8918325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reiser4 |
E212348
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | ReiserFS |
E38038
|
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: ReiserFS | Statement: [Reiser4, predecessor, ReiserFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ReiserFS Context triple: [Reiser4, predecessor, ReiserFS]
-
A.
ReiserFS
chosen
ReiserFS is a journaling file system for Linux known for its efficient handling of small files and advanced tree-based storage structures.
-
B.
Btrfs
Btrfs is a modern copy-on-write Linux file system designed for advanced features like snapshots, checksumming, and efficient storage management.
-
C.
HFS Plus
HFS Plus is a proprietary journaling file system developed by Apple for use in macOS and earlier Macintosh operating systems, succeeding the original HFS to support larger files and volumes.
-
D.
ext4
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.
-
E.
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.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd8495488190a1d93f9e5b7e334d |
completed | April 3, 2026, 5:48 p.m. |
Created at: March 30, 2026, 6:56 p.m.