Triple
T1718100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ext2 |
E37332
|
entity |
| Predicate | fileSystemType |
P10381
|
FINISHED |
| Object | native Linux file system |
—
|
LITERAL 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: native Linux file system | Statement: [ext2, fileSystemType, native Linux file system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileSystemType Context triple: [ext2, fileSystemType, native Linux file system]
-
A.
systemType
Indicates the classification or category of a system that an entity belongs to or operates as.
-
B.
defaultFileSystem
chosen
Indicates that a given file system is the primary or standard file system automatically used by default for file operations in a particular context.
-
C.
mountType
Indicates the manner or configuration in which one object is mounted or attached to another.
-
D.
previousFileSystem
Indicates that one file system existed or was in use before another file system in a temporal or versioning sequence.
-
E.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
- F. None of above.
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_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.