Triple
T17558471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Maximum Availability Architecture |
E427641
|
entity |
| Predicate | usesTechnology |
P1485
|
FINISHED |
| Object | Oracle Flashback Technologies |
—
|
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 Flashback Technologies | Statement: [Oracle Maximum Availability Architecture, usesTechnology, Oracle Flashback Technologies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Flashback Technologies Context triple: [Oracle Maximum Availability Architecture, usesTechnology, Oracle Flashback Technologies]
-
A.
Oracle Database In-Memory
Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
-
B.
Oracle Autonomous Transaction Processing
Oracle Autonomous Transaction Processing is a cloud-based, self-driving database service from Oracle designed to automate tuning, scaling, security, and patching for high-performance transactional workloads.
-
C.
Oracle Data Guard
Oracle Data Guard is an Oracle Database feature that provides high availability, data protection, and disaster recovery through the management of standby databases.
-
D.
Oracle Automatic Storage Management
Oracle Automatic Storage Management is an Oracle database feature that provides integrated volume management and file system capabilities to simplify and optimize storage management for Oracle databases.
-
E.
Oracle Recovery Manager
Oracle Recovery Manager (RMAN) is Oracle’s built-in backup and recovery utility for efficiently protecting, restoring, and managing Oracle databases.
- 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 Flashback Technologies Target entity description: Oracle Flashback Technologies are a set of Oracle Database features that enable fast, point-in-time recovery and data investigation without traditional restore operations, enhancing availability and simplifying error correction.
-
A.
Oracle Database In-Memory
Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
-
B.
Oracle Autonomous Transaction Processing
Oracle Autonomous Transaction Processing is a cloud-based, self-driving database service from Oracle designed to automate tuning, scaling, security, and patching for high-performance transactional workloads.
-
C.
Oracle Data Guard
Oracle Data Guard is an Oracle Database feature that provides high availability, data protection, and disaster recovery through the management of standby databases.
-
D.
Oracle Automatic Storage Management
Oracle Automatic Storage Management is an Oracle database feature that provides integrated volume management and file system capabilities to simplify and optimize storage management for Oracle databases.
-
E.
Oracle Recovery Manager
Oracle Recovery Manager (RMAN) is Oracle’s built-in backup and recovery utility for efficiently protecting, restoring, and managing Oracle databases.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45624bfe08190991dc088394a5af4 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.