Triple

T7934159
Position Surface form Disambiguated ID Type / Status
Subject Microsoft APIs E184248 entity
Predicate includes P1393 FINISHED
Object Azure Functions management API E182240 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: Azure Functions management API | Statement: [Microsoft APIs, includes, Azure Functions management API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azure Functions management API
Context triple: [Microsoft APIs, includes, Azure Functions management API]
  • A. Azure Functions chosen
    Azure Functions is a serverless compute service that lets developers run event-driven code on demand in the cloud without managing infrastructure.
  • B. Azure App Service
    Azure App Service is a fully managed platform-as-a-service (PaaS) offering from Microsoft Azure for building, deploying, and scaling web apps and APIs.
  • C. Cloud Functions
    Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
  • D. Cloud Functions for Firebase
    Cloud Functions for Firebase is a serverless compute platform that lets developers run backend code in response to Firebase and HTTP events without managing servers.
  • E. 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.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aeb132c8190bea4906aaf51b869 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0791e48190af18299c22f6a804 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.