Triple
T19586882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Exadata |
E490127
|
entity |
| Predicate | supportsSoftware |
P5090
|
FINISHED |
| Object | Oracle Exadata System Software |
—
|
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 Exadata System Software | Statement: [Oracle Exadata, supportsSoftware, Oracle Exadata System Software]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Exadata System Software Context triple: [Oracle Exadata, supportsSoftware, Oracle Exadata System Software]
-
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 Exadata Cloud Service
Oracle Exadata Cloud Service is a managed cloud platform that delivers high-performance Oracle Database workloads on optimized Exadata infrastructure within Oracle Cloud Infrastructure.
-
C.
Oracle Exalytics
Oracle Exalytics is an engineered in-memory analytics appliance designed to accelerate business intelligence and performance management workloads.
-
D.
Oracle Exalogic
Oracle Exalogic is an engineered hardware and software system optimized for running Java and Oracle applications with high performance, scalability, and reliability.
-
E.
Oracle Grid Infrastructure
Oracle Grid Infrastructure is Oracle’s integrated software stack that provides clustering, storage management, and high-availability services to support and manage Oracle Real Application Clusters and related database workloads.
- 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 Exadata System Software Target entity description: Oracle Exadata System Software is the specialized software layer that powers and optimizes Oracle Exadata engineered systems, providing integrated database, storage, and performance management capabilities.
-
A.
Oracle Exadata
chosen
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 Exadata Cloud Service
Oracle Exadata Cloud Service is a managed cloud platform that delivers high-performance Oracle Database workloads on optimized Exadata infrastructure within Oracle Cloud Infrastructure.
-
C.
Oracle Exalytics
Oracle Exalytics is an engineered in-memory analytics appliance designed to accelerate business intelligence and performance management workloads.
-
D.
Oracle Exalogic
Oracle Exalogic is an engineered hardware and software system optimized for running Java and Oracle applications with high performance, scalability, and reliability.
-
E.
Oracle Grid Infrastructure
Oracle Grid Infrastructure is Oracle’s integrated software stack that provides clustering, storage management, and high-availability services to support and manage Oracle Real Application Clusters and related database workloads.
- F. None of above.
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.