Triple
T19435165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Big Data Appliance |
E486208
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object | Oracle Big Data Connectors |
—
|
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 Big Data Connectors | Statement: [Oracle Big Data Appliance, uses, Oracle Big Data Connectors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Big Data Connectors Context triple: [Oracle Big Data Appliance, uses, Oracle Big Data Connectors]
-
A.
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.
-
B.
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.
-
C.
Oracle Data Flow
Oracle Data Flow is a fully managed, serverless Apache Spark service on Oracle Cloud Infrastructure for running large-scale data processing and analytics workloads without managing infrastructure.
-
D.
Apache Drill
Apache Drill is an open-source, schema-free SQL query engine designed for interactive analysis of large-scale datasets across diverse data sources.
-
E.
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.
- 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 Big Data Connectors Target entity description: Oracle Big Data Connectors is a suite of software tools from Oracle that enables high-performance data integration and movement between Oracle databases and big data platforms such as Hadoop.
-
A.
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.
-
B.
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.
-
C.
Oracle Data Flow
Oracle Data Flow is a fully managed, serverless Apache Spark service on Oracle Cloud Infrastructure for running large-scale data processing and analytics workloads without managing infrastructure.
-
D.
Apache Drill
Apache Drill is an open-source, schema-free SQL query engine designed for interactive analysis of large-scale datasets across diverse data sources.
-
E.
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.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335e8f7881909c8b28886521046e |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.