Triple
T12025177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rsync algorithm |
E286256
|
entity |
| Predicate | inspired |
P9
|
FINISHED |
| Object | rsync software utility |
E286257
|
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: rsync software utility | Statement: [rsync algorithm, inspired, rsync software utility]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: rsync software utility Context triple: [rsync algorithm, inspired, rsync software utility]
-
A.
rsync
chosen
rsync is a widely used open-source utility for fast, incremental file transfer and synchronization across local and remote systems.
-
B.
rsync algorithm
The rsync algorithm is a file synchronization and transfer method that efficiently updates files over a network by sending only the differences between source and destination.
-
C.
SFTP (SSH File Transfer Protocol)
SFTP (SSH File Transfer Protocol) is a network protocol that provides encrypted file transfer and management over a secure SSH connection.
-
D.
WinSCP
WinSCP is a popular open-source Windows client for secure file transfer and file management over protocols like SFTP, SCP, and FTP.
-
E.
shutil
shutil is a Python standard library module that provides high-level file and directory operations such as copying, moving, and deleting files.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f02638819091e0cc0e93fa5ea7 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b71e5c48190a58ace8ef7c8928d |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:47 p.m.