Triple
T19585411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Cloud Console |
E490094
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | Autonomous Data Warehouse |
—
|
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: Autonomous Data Warehouse | Statement: [Oracle Cloud Console, supportsService, Autonomous Data Warehouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autonomous Data Warehouse Context triple: [Oracle Cloud Console, supportsService, Autonomous Data Warehouse]
-
A.
Oracle Autonomous Data Warehouse
chosen
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 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.
Encyclopedia of Data Warehousing and Mining
The Encyclopedia of Data Warehousing and Mining is a comprehensive reference work that covers key concepts, methods, and technologies related to storing, managing, and analyzing large-scale data for decision support and knowledge discovery.
-
D.
Center for Data Engineering
The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
-
E.
Automatic Data Processing
Automatic Data Processing (ADP) is a major American provider of payroll, human resources, and workforce management software and services to businesses worldwide.
- 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.