Triple
T8249359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleuth Kit |
E192917
|
entity |
| Predicate | supportsFileSystem |
P203
|
FINISHED |
| Object | UFS |
E427676
|
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: UFS | Statement: [Sleuth Kit, supportsFileSystem, UFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UFS Context triple: [Sleuth Kit, supportsFileSystem, UFS]
-
A.
UFS
chosen
UFS (Unix File System) is a long-standing, robust file system widely used in Unix-like operating systems, particularly BSD variants, for organizing and managing data on disk.
-
B.
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.
-
C.
UHS
UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
-
D.
U3
U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
-
E.
U3
U3 is a line of the Berlin U-Bahn rapid transit system serving several districts in the German capital.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78c817708190ad1c364e12083d26 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd353888208190941d1c0b7b911cdd |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:48 p.m.