Triple
T1690366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Teams |
E36536
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Power Automate |
E35036
|
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 Automate | Statement: [Microsoft Teams, integratesWith, Power Automate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Power Automate Context triple: [Microsoft Teams, integratesWith, Power Automate]
-
A.
Power Automate
chosen
Power Automate is a Microsoft cloud service that enables users to create automated workflows between apps and services to synchronize files, get notifications, and streamline repetitive tasks.
-
B.
Power Apps
Power Apps is a Microsoft low-code development platform that enables users to quickly build and deploy custom business applications across web and mobile.
-
C.
Azure Logic Apps
Azure Logic Apps is a cloud-based service for building and running automated workflows that integrate apps, data, services, and systems through a visual designer and prebuilt connectors.
-
D.
Power Fx
Power Fx is a low-code, Excel-like formula language developed by Microsoft for building logic and expressions in Power Platform applications.
-
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.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62979da48190a64a04bf352182e0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ac6cc88819086821026a37a3578 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:29 p.m.