Triple
T19586956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Enterprise Manager |
E490128
|
entity |
| Predicate | supportsProductFamily |
P57888
|
FINISHED |
| Object | Oracle engineered systems |
—
|
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 engineered systems | Statement: [Oracle Enterprise Manager, supportsProductFamily, Oracle engineered systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle engineered systems Context triple: [Oracle Enterprise Manager, supportsProductFamily, Oracle engineered systems]
-
A.
Oracle Exadata
Oracle Exadata is an engineered database machine from Oracle that combines optimized hardware and software to deliver high-performance, scalable, and highly available Oracle Database deployments.
-
B.
Oracle Exalytics
Oracle Exalytics is an engineered in-memory analytics appliance designed to accelerate business intelligence and performance management workloads.
-
C.
Oracle Exalogic
Oracle Exalogic is an engineered hardware and software system optimized for running Java and Oracle applications with high performance, scalability, and reliability.
-
D.
Oracle Big Data Appliance
Oracle Big Data Appliance is an engineered hardware and software system from Oracle designed to run large-scale big data workloads, typically integrating Hadoop, NoSQL, and Oracle technologies for high-performance analytics.
-
E.
Oracle product portfolio
Oracle product portfolio is the collection of enterprise software and technology solutions offered by Oracle Corporation, spanning databases, business applications, cloud services, and middleware.
- 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 engineered systems Target entity description: Oracle engineered systems are integrated hardware and software appliances from Oracle designed to optimize performance, scalability, and manageability for running Oracle databases and enterprise applications.
-
A.
Oracle Exadata
Oracle Exadata is an engineered database machine from Oracle that combines optimized hardware and software to deliver high-performance, scalable, and highly available Oracle Database deployments.
-
B.
Oracle Exalytics
Oracle Exalytics is an engineered in-memory analytics appliance designed to accelerate business intelligence and performance management workloads.
-
C.
Oracle Exalogic
Oracle Exalogic is an engineered hardware and software system optimized for running Java and Oracle applications with high performance, scalability, and reliability.
-
D.
Oracle Big Data Appliance
Oracle Big Data Appliance is an engineered hardware and software system from Oracle designed to run large-scale big data workloads, typically integrating Hadoop, NoSQL, and Oracle technologies for high-performance analytics.
-
E.
Oracle product portfolio
Oracle product portfolio is the collection of enterprise software and technology solutions offered by Oracle Corporation, spanning databases, business applications, cloud services, and middleware.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e640523d10819091320a61456f6437 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.