Triple
T21169693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Hyperion Planning |
E521659
|
entity |
| Predicate | usesTechnology |
P1485
|
FINISHED |
| Object | Oracle Essbase |
—
|
NE NERFINISHED |
How this triple was built (3 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: Oracle Essbase | Statement: [Oracle Hyperion Planning, usesTechnology, Oracle Essbase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Essbase Context triple: [Oracle Hyperion Planning, usesTechnology, Oracle Essbase]
-
A.
Oracle Hyperion Planning
Oracle Hyperion Planning is an enterprise planning, budgeting, and forecasting application that supports financial and operational planning processes across organizations.
-
B.
IBM Planning Analytics
IBM Planning Analytics is an AI-powered business planning and forecasting platform that helps organizations build integrated financial and operational plans, perform complex what-if analysis, and support data-driven decision-making.
-
C.
IBM Cognos Analytics
IBM Cognos Analytics is a business intelligence and data analytics platform that enables users to visualize, explore, and report on data for informed decision-making.
-
D.
SQL Server Analysis Services
SQL Server Analysis Services is a Microsoft server-based data analysis and business intelligence platform used to create and manage OLAP cubes and data mining models for advanced analytics and reporting.
-
E.
Oracle Enterprise Performance Management Cloud
Oracle Enterprise Performance Management Cloud is a suite of cloud-based applications that helps organizations plan, budget, forecast, and report on business performance across finance and operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oracle Essbase Target entity description: Oracle Essbase is a multidimensional online analytical processing (OLAP) database platform used for complex financial modeling, budgeting, forecasting, and business analytics.
-
A.
Oracle Hyperion Planning
Oracle Hyperion Planning is an enterprise planning, budgeting, and forecasting application that supports financial and operational planning processes across organizations.
-
B.
IBM Planning Analytics
IBM Planning Analytics is an AI-powered business planning and forecasting platform that helps organizations build integrated financial and operational plans, perform complex what-if analysis, and support data-driven decision-making.
-
C.
IBM Cognos Analytics
IBM Cognos Analytics is a business intelligence and data analytics platform that enables users to visualize, explore, and report on data for informed decision-making.
-
D.
SQL Server Analysis Services
SQL Server Analysis Services is a Microsoft server-based data analysis and business intelligence platform used to create and manage OLAP cubes and data mining models for advanced analytics and reporting.
-
E.
Oracle Enterprise Performance Management Cloud
Oracle Enterprise Performance Management Cloud is a suite of cloud-based applications that helps organizations plan, budget, forecast, and report on business performance across finance and operations.
- F. None of above. chosen
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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72711be9481909f16107b71d3500a |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.