Triple
T18800822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS CDK |
E459748
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | AWS Budgets |
—
|
NE NERFINISHED |
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: AWS Budgets | Statement: [AWS CDK, supportsService, AWS Budgets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS Budgets Context triple: [AWS CDK, supportsService, AWS Budgets]
-
A.
AWS Budgets
chosen
AWS Budgets is an Amazon Web Services tool that lets users set custom cost and usage budgets, receive alerts, and track spending against financial targets in the cloud.
-
B.
AWS Cost Explorer
AWS Cost Explorer is a cloud cost management tool that helps users visualize, analyze, and optimize their AWS spending over time.
-
C.
Azure Cost Management + Billing
Azure Cost Management + Billing is a set of Azure tools and services that help organizations monitor, analyze, and optimize their cloud spending and manage billing across subscriptions and accounts.
-
D.
BudgetService
BudgetService is a component of the Google AdWords API that manages and configures advertising campaign budgets programmatically.
-
E.
AWS Compute Optimizer
AWS Compute Optimizer is an Amazon Web Services tool that analyzes resource usage to recommend optimal compute configurations for cost savings and performance improvements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02332d88190b68feea7f2f86d06 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.