Triple
T8284352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RT-Thread |
E193753
|
entity |
| Predicate | hasFileSystemSupport |
P44872
|
FINISHED |
| Object | FAT file system (via components) |
—
|
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: FAT file system (via components) | Statement: [RT-Thread, hasFileSystemSupport, FAT file system (via components)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFileSystemSupport Context triple: [RT-Thread, hasFileSystemSupport, FAT file system (via components)]
-
A.
fileSystemSupport
chosen
Indicates that one entity (such as a system, application, or device) is capable of recognizing, accessing, and correctly operating with a particular file system or set of file systems.
-
B.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
C.
hasSupported
Indicates that one entity has provided assistance, endorsement, or backing to another entity, either materially, emotionally, or through advocacy.
-
D.
hasTypeOfSupport
Indicates that one entity provides or is associated with a particular kind or category of support in relation to another entity.
-
E.
hasPackageSystem
Indicates that an entity uses or is associated with a particular package management system for installing, updating, or managing software components.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad0535081908bb234cfc0e32b32 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.