Triple
T1971006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows NT |
E42797
|
entity |
| Predicate | fileSystem |
P1596
|
FINISHED |
| Object | ReFS |
E192052
|
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: ReFS | Statement: [Windows NT, fileSystem, ReFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ReFS Context triple: [Windows NT, fileSystem, ReFS]
-
A.
ReFS
chosen
ReFS (Resilient File System) is a Microsoft file system designed to improve data integrity, availability, and scalability over the older NTFS format.
-
B.
NTFS
NTFS (New Technology File System) is a Microsoft-developed file system known for its support of large volumes, file permissions, encryption, and advanced reliability features used in modern Windows operating systems.
-
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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d2836c8190a35cb6d8e2dd4bdf |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbd9a2dc81909f86fdfa9c646dd0 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.