Triple
T19433996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Object Storage |
E486185
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Oracle Cloud Infrastructure Data Integration |
—
|
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 Cloud Infrastructure Data Integration | Statement: [Oracle Object Storage, integratesWith, Oracle Cloud Infrastructure Data Integration]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Cloud Infrastructure Data Integration Context triple: [Oracle Object Storage, integratesWith, Oracle Cloud Infrastructure Data Integration]
-
A.
Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse is a fully managed, cloud-based data warehouse service from Oracle that uses automation and machine learning to handle provisioning, tuning, scaling, and security for analytics workloads.
-
B.
Oracle Cloud databases
Oracle Cloud databases are managed, scalable database services on Oracle Cloud Infrastructure that provide enterprise-grade performance, security, and automation for running Oracle and other workloads in the cloud.
-
C.
Oracle Big Data Service
Oracle Big Data Service is a managed cloud platform on Oracle Cloud Infrastructure for deploying, managing, and scaling big data and Hadoop-based analytics workloads.
-
D.
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure is Oracle Corporation’s suite of cloud computing services that provides scalable compute, storage, networking, and platform capabilities for enterprise workloads.
-
E.
Oracle Data Integrator
Oracle Data Integrator is an Oracle ETL and data integration platform designed for high-performance data movement, transformation, and synchronization across heterogeneous systems.
- 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 Cloud Infrastructure Data Integration Target entity description: Oracle Cloud Infrastructure Data Integration is a fully managed, cloud-native ETL and data transformation service that enables designing, scheduling, and monitoring data pipelines across Oracle and third-party data sources.
-
A.
Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse is a fully managed, cloud-based data warehouse service from Oracle that uses automation and machine learning to handle provisioning, tuning, scaling, and security for analytics workloads.
-
B.
Oracle Cloud databases
Oracle Cloud databases are managed, scalable database services on Oracle Cloud Infrastructure that provide enterprise-grade performance, security, and automation for running Oracle and other workloads in the cloud.
-
C.
Oracle Big Data Service
Oracle Big Data Service is a managed cloud platform on Oracle Cloud Infrastructure for deploying, managing, and scaling big data and Hadoop-based analytics workloads.
-
D.
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure is Oracle Corporation’s suite of cloud computing services that provides scalable compute, storage, networking, and platform capabilities for enterprise workloads.
-
E.
Oracle Data Integrator
chosen
Oracle Data Integrator is an Oracle ETL and data integration platform designed for high-performance data movement, transformation, and synchronization across heterogeneous systems.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335dae10819096e1825741f814ed |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.