Triple
T28614348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerShell Gallery |
E724240
|
entity |
| Predicate | typicalClientCommand |
P101150
|
FINISHED |
| Object | Install-Module |
—
|
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: Install-Module | Statement: [PowerShell Gallery, typicalClientCommand, Install-Module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalClientCommand Context triple: [PowerShell Gallery, typicalClientCommand, Install-Module]
-
A.
typicalCommands
Indicates that the associated entity commonly issues or uses the specified commands as part of its normal or expected behavior.
-
B.
typicalCommandLevel
Indicates the usual or standard level of authority or access at which a command is intended to be executed.
-
C.
typicalCommandLine
chosen
Indicates that one entity represents the usual or standard command-line invocation or syntax associated with another entity.
-
D.
typicalCommandRank
Indicates the usual or most common rank at which an individual typically holds command authority in a given context.
-
E.
clientOf
Indicates that one entity receives services or conducts business from another entity in a client–provider relationship.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a00d08e8fac8190b59359134e6e1c03 |
completed | May 10, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_6a00d0127c088190a6f5b360450af113 |
completed | May 10, 2026, 6:36 p.m. |
Created at: April 28, 2026, 4:31 a.m.