Triple

T7894067
Position Surface form Disambiguated ID Type / Status
Subject Power Fx E183304 entity
Predicate usedIn P98 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: [Power Fx, usedIn, Power Automate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Power Automate
Context triple: [Power Fx, usedIn, 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. Power Platform APIs
    Power Platform APIs are a set of Microsoft cloud-based interfaces that enable developers and organizations to programmatically interact with and extend Power Platform services such as Power Apps, Power Automate, Power BI, and Dataverse.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a15a7e88190a05474844817e5d2 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc562c6e188190adbdf99479170920 completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:01 p.m.