Triple
T9497022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RRQ |
E229034
|
entity |
| Predicate | roleInTFTP |
P57746
|
FINISHED |
| Object | request file read operation |
—
|
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: request file read operation | Statement: [RRQ, roleInTFTP, request file read operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTFTP Context triple: [RRQ, roleInTFTP, request file read operation]
-
A.
remoteTerminalRole
Indicates that an entity has a specific role or permission level when accessing or operating a system through a remote terminal.
-
B.
roleInTeamViewer
Indicates the specific function, position, or responsibility an entity holds within a TeamViewer-related team or collaborative setup.
-
C.
systemRole
Indicates the functional position or responsibility that an entity holds within a larger system or structure.
-
D.
roleInCUPS
Indicates that an entity holds a specific role or function within the CUPS (Common UNIX Printing System) environment or configuration.
-
E.
roleInProtocolStack
chosen
Indicates the specific function or position an entity occupies within a layered communication or protocol stack.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ecf4148190aa8f4733980166ae |
completed | April 1, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.