Triple
T7984759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power BI Service dataflows |
E185660
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Power BI Desktop dataflows (authoring experience)
Power BI Desktop dataflows (authoring experience) is the capability within Power BI Desktop that lets users create, edit, and manage reusable, cloud-based data preparation logic as dataflows, which can then be leveraged across multiple reports and solutions.
|
E185660
|
NE FINISHED |
How this triple was built (4 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: Power BI Desktop dataflows (authoring experience) | Statement: [Power BI Service dataflows, relatedTo, Power BI Desktop dataflows (authoring experience)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Power BI Desktop dataflows (authoring experience) Context triple: [Power BI Service dataflows, relatedTo, Power BI Desktop dataflows (authoring experience)]
-
A.
Power BI Service dataflows
Power BI Service dataflows are cloud-based, reusable data preparation and transformation pipelines in Power BI that centralize and standardize data for use across multiple reports and datasets.
-
B.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
C.
Power BI Gateway
Power BI Gateway is an on-premises data gateway that securely connects local data sources to Microsoft Power BI and other cloud services for refresh and live queries.
-
D.
Power BI dataset or model
A Power BI dataset or model is a structured collection of connected, transformed, and modeled data used as the semantic layer for creating interactive reports, dashboards, and visual analytics in Microsoft Power BI.
-
E.
Microsoft Dataverse dataflows
Microsoft Dataverse dataflows are cloud-based ETL processes that let users connect to, transform, and load data from various sources into Dataverse for use in Power Apps, Power BI, and other Microsoft Power Platform services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Power BI Desktop dataflows (authoring experience) Triple: [Power BI Service dataflows, relatedTo, Power BI Desktop dataflows (authoring experience)]
Generated description
Power BI Desktop dataflows (authoring experience) is the capability within Power BI Desktop that lets users create, edit, and manage reusable, cloud-based data preparation logic as dataflows, which can then be leveraged across multiple reports and solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Power BI Desktop dataflows (authoring experience) Target entity description: Power BI Desktop dataflows (authoring experience) is the capability within Power BI Desktop that lets users create, edit, and manage reusable, cloud-based data preparation logic as dataflows, which can then be leveraged across multiple reports and solutions.
-
A.
Power BI Service dataflows
chosen
Power BI Service dataflows are cloud-based, reusable data preparation and transformation pipelines in Power BI that centralize and standardize data for use across multiple reports and datasets.
-
B.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
C.
Power BI Gateway
Power BI Gateway is an on-premises data gateway that securely connects local data sources to Microsoft Power BI and other cloud services for refresh and live queries.
-
D.
Power BI dataset or model
A Power BI dataset or model is a structured collection of connected, transformed, and modeled data used as the semantic layer for creating interactive reports, dashboards, and visual analytics in Microsoft Power BI.
-
E.
Microsoft Dataverse dataflows
Microsoft Dataverse dataflows are cloud-based ETL processes that let users connect to, transform, and load data from various sources into Dataverse for use in Power Apps, Power BI, and other Microsoft Power Platform services.
- F. None of above.
Provenance (5 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4a55b881909a96133e56c0dffa |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b96ed48190b752865ef3855e46 |
completed | April 1, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_69cc64bd6a088190b77e2709c76579e4 |
completed | April 1, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc66b0e1548190840e4335ff2b130f |
completed | April 1, 2026, 12:28 a.m. |
Created at: March 30, 2026, 5:15 p.m.