Triple
T7984617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL Server Analysis Services Tabular |
E185657
|
entity |
| Predicate | storageEngine |
P1596
|
FINISHED |
| Object | VertiPaq |
E190354
|
NE FINISHED |
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: VertiPaq | Statement: [SQL Server Analysis Services Tabular, storageEngine, VertiPaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VertiPaq Context triple: [SQL Server Analysis Services Tabular, storageEngine, VertiPaq]
-
A.
ColumnStore
ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
-
B.
xVelocity in-memory analytics engine
chosen
xVelocity in-memory analytics engine is a columnar, in-memory data processing engine developed by Microsoft to enable fast, compressed, and scalable analytical querying for business intelligence tools.
-
C.
SAP HANA
SAP HANA is an in-memory, column-oriented relational database management system developed by SAP for high-performance transactional and analytical processing.
-
D.
Greenplum
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
-
E.
IBM Netezza Performance Server
IBM Netezza Performance Server is a high-performance, cloud-ready data warehouse and analytics platform designed for fast, large-scale data processing and advanced analytics workloads.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageEngine Context triple: [SQL Server Analysis Services Tabular, storageEngine, VertiPaq]
-
A.
storageLayer
Indicates a relationship where one entity functions as the storage layer or persistence tier used by another entity to store and retrieve data.
-
B.
storageInterface
Indicates that one entity serves as a storage interface used by or associated with another entity for storing or retrieving data.
-
C.
storageStructure
Indicates a relationship where one entity serves as a physical or logical structure used to store or contain another entity.
-
D.
storageOption
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
E.
dataStorage
chosen
Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
- F. None of above.
Provenance (4 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2b543c81909b82bc478d579e0b |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b96ed48190b752865ef3855e46 |
completed | April 1, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.