Triple
T1647550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAX |
E35616
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Power BI Service |
E5276
|
NE 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: Power BI Service | Statement: [DAX, usedIn, Power BI Service]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Power BI Service Context triple: [DAX, usedIn, Power BI Service]
-
A.
Power BI
chosen
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
B.
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.
-
C.
Power BI Embedded
Power BI Embedded is a Microsoft Azure service that lets developers integrate interactive Power BI reports and dashboards into their own applications.
-
D.
Power BI Report Server
Power BI Report Server is an on-premises solution for hosting, managing, and distributing Power BI reports and traditional paginated reports within an organization’s own infrastructure.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a640ea88190822906da575d5165 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71a8c22c8190b7f2883dfbd1403f |
completed | March 8, 2026, 12:55 p.m. |
Created at: March 4, 2026, 7:28 p.m.