Triple
T7858268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System File Checker |
E182430
|
entity |
| Predicate | commandSyntax |
P79403
|
FINISHED |
| Object | sfc /scannow |
—
|
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: sfc /scannow | Statement: [System File Checker, commandSyntax, sfc /scannow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandSyntax Context triple: [System File Checker, commandSyntax, sfc /scannow]
-
A.
commands
Indicates that one entity holds authority over another and issues directives or orders that the other is expected to follow.
-
B.
commandType
Indicates the specific kind or category of command being issued or executed in the relationship.
-
C.
commandName
Indicates the specific label or identifier used to denote a particular command within a system or interface.
-
D.
commandStyle
Indicates the manner or approach in which one entity issues commands or directives to another.
-
E.
commandScope
Indicates that one entity defines or limits the range, context, or extent within which another entity’s command or control is valid or applicable.
- F. None of above. chosen
Provenance (4 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a76f8648190976b488d0d8658ef |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:52 p.m.