Triple
T11653890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure portal |
E276971
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | Azure Functions |
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 | Statement: [Azure portal, supportsService, Azure Functions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure Functions Context triple: [Azure portal, supportsService, Azure Functions]
-
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.
Cloud Functions
Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
-
C.
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.
-
D.
Azure Functions Core Tools
Azure Functions Core Tools is a cross-platform command-line toolset for creating, running, debugging, and deploying Azure Functions locally and to the cloud.
-
E.
AWS Lambda
AWS Lambda is a serverless compute service that lets developers run code in response to events without provisioning or managing servers.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2d01f9c8190849f252f22519550 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee880eccc4819096e2b3305cdb3239 |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.