Triple
T20247827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Data Pump |
E498469
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Data Pump Export |
—
|
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: Data Pump Export | Statement: [Oracle Data Pump, hasComponent, Data Pump Export]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Data Pump Export Context triple: [Oracle Data Pump, hasComponent, Data Pump Export]
-
A.
Oracle Data Pump
chosen
Oracle Data Pump is an Oracle Database utility that enables high-speed, parallel export and import of data and metadata for backup, migration, and data movement tasks.
-
B.
DTS Import Export Wizard
DTS Import Export Wizard is a graphical tool in SQL Server’s Data Transformation Services that guides users through copying, importing, and exporting data between different sources and destinations.
-
C.
pg_dump utility
The pg_dump utility is a PostgreSQL command-line tool used to create logical backups of databases by exporting their schema and data into portable dump files.
-
D.
ETL
ETL is the three-letter National Rail station code for East Tilbury railway station in Essex, England.
-
E.
AWS Schema Conversion Tool
AWS Schema Conversion Tool is an Amazon Web Services utility that automatically converts database schemas and code objects between different database engines to simplify heterogeneous migrations.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.