Triple
T1719054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerShell |
E37350
|
entity |
| Predicate | pipelineType |
P28421
|
FINISHED |
| Object | object pipeline |
—
|
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: object pipeline | Statement: [PowerShell, pipelineType, object pipeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pipelineType Context triple: [PowerShell, pipelineType, object pipeline]
-
A.
pipeline
chosen
Indicates a sequential process or workflow where the output of one stage is passed as input to the next to achieve a final result.
-
B.
processType
Indicates the specific kind or category of process that an entity or activity belongs to.
-
C.
flowType
Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
-
D.
pylonType
Indicates the specific structural or functional category that a pylon belongs to within a given context.
-
E.
streams
Indicates that one entity continuously transmits or delivers data, media, or content in real time to another entity.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.