Triple
T18417735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AlphaServer DS25 |
E441938
|
entity |
| Predicate | supportsEnterpriseDatabases |
P131530
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [AlphaServer DS25, supportsEnterpriseDatabases, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEnterpriseDatabases Context triple: [AlphaServer DS25, supportsEnterpriseDatabases, yes]
-
A.
supportsDatabaseConnectivity
Indicates that an entity provides the capability to establish and maintain connections to a database system.
-
B.
supportsRDS
Indicates that one entity provides compatibility, resources, or functionality necessary for the operation or use of an RDS (Relational Database Service) instance.
-
C.
supportsOnPremises
Indicates that one entity provides compatibility, functionality, or assistance for another entity when deployed or operated in an on-premises (locally hosted) environment.
-
D.
supportsDatabaseAbstraction
Indicates that one entity provides or enables a database abstraction layer for another, allowing interaction with databases independently of specific database implementations.
-
E.
typicalDatabaseEngine
Indicates that an entity functions as a standard or commonly used database engine in typical usage scenarios.
- F. None of above. chosen
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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a291f148190b289b5b617077797 |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 10:47 a.m.