Triple
T34933786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DTS |
E1007512
|
entity |
| Predicate | canExecuteFrom |
P19950
|
FINISHED |
| Object |
SQL Server Enterprise Manager
SQL Server Enterprise Manager is a graphical administration tool for Microsoft SQL Server that allows users to manage databases, security, and data transformation tasks.
|
E2119435
|
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: SQL Server Enterprise Manager | Statement: [DTS, canExecuteFrom, SQL Server Enterprise Manager]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SQL Server Enterprise Manager Triple: [DTS, canExecuteFrom, SQL Server Enterprise Manager]
Generated description
SQL Server Enterprise Manager is a graphical administration tool for Microsoft SQL Server that allows users to manage databases, security, and data transformation tasks.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canExecuteFrom Context triple: [DTS, canExecuteFrom, SQL Server Enterprise Manager]
-
A.
canPerform
Indicates that one entity has the ability, permission, or capacity to carry out a specific action or function on or with another entity.
-
B.
canBePerformed
Indicates that a particular action or activity is possible to carry out under given conditions or by a specified agent.
-
C.
canBeInvokedBy
Indicates that one entity (such as a function, method, or operation) is able to be called, triggered, or executed by another entity.
-
D.
isExecutedFor
Indicates that an action, plan, or process is carried out on behalf of, or in service of, a particular entity or purpose.
-
E.
canBeInvokedFrom
chosen
Indicates that one entity (such as a function, method, or component) is able to be called or triggered directly from another specified context or entity.
- F. None of above.
Provenance (6 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37a8bb294c8190aca59e7ab62be67c |
completed | June 21, 2026, 9:02 a.m. |
| NEDg | Description generation | batch_6a37a9cd9850819094e07e59e8dedc96 |
completed | June 21, 2026, 9:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37abd05f4c819089833309fc436419 |
completed | June 21, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.