Triple
T11655995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL Server Analysis Services |
E277012
|
entity |
| Predicate | supportsStorageMode |
P99857
|
FINISHED |
| Object | MOLAP |
—
|
LITERAL FINISHED |
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: MOLAP | Statement: [SQL Server Analysis Services, supportsStorageMode, MOLAP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStorageMode Context triple: [SQL Server Analysis Services, supportsStorageMode, MOLAP]
-
A.
supportsBlockStorage
Indicates that one entity provides or is compatible with block-level storage capabilities for another entity.
-
B.
supportedMode
chosen
Indicates that a system, device, or component is capable of operating in or handling a particular mode.
-
C.
hasStorage
Indicates that one entity provides or contains storage capacity or space for another entity or resource.
-
D.
supportsDatastoreType
Indicates that one entity is capable of working with, handling, or being compatible with a specified type of datastore.
-
E.
supportsPartitionStyle
Indicates that one entity is compatible with or able to work with a specified partition style used by another entity.
- F. None of above.
Provenance (3 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3cee010819089cffdbefe5a6efb |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.