Triple
T19585376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Machine Learning |
E490093
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Oracle Machine Learning for SQL |
—
|
NE NERFINISHED |
How this triple was built (2 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 Machine Learning for SQL | Statement: [Oracle Machine Learning, hasComponent, Oracle Machine Learning for SQL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Machine Learning for SQL Context triple: [Oracle Machine Learning, hasComponent, Oracle Machine Learning for SQL]
-
A.
Oracle Machine Learning
chosen
Oracle Machine Learning is a suite of in-database machine learning algorithms and tools from Oracle that enables data scientists and analysts to build, deploy, and manage predictive models directly within Oracle databases.
-
B.
Oracle Cloud Infrastructure Data Science
Oracle Cloud Infrastructure Data Science is a managed cloud platform for building, training, deploying, and managing machine learning models at scale within the Oracle Cloud ecosystem.
-
C.
Oracle Big Data Connectors
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e640513134819082cf233fa3dcc911 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.