Triple
T5067125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Autonomous Data Warehouse |
E114170
|
entity |
| Predicate | securityResponsibilityModel |
P61062
|
FINISHED |
| Object | managed by Oracle |
—
|
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: managed by Oracle | Statement: [Oracle Autonomous Data Warehouse, securityResponsibilityModel, managed by Oracle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityResponsibilityModel Context triple: [Oracle Autonomous Data Warehouse, securityResponsibilityModel, managed by Oracle]
-
A.
securityModelAbbreviation
Indicates that one entity is the standard or commonly used abbreviated form of the name or identifier of a particular security model.
-
B.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
-
C.
securityModelIdentifier
Indicates the specific security model or framework under which an entity, interaction, or policy is defined or governed.
-
D.
securityModelSimilarTo
Indicates that one entity’s security model is similar or comparable to that of another entity.
-
E.
securityApparatusRole
Indicates the role or function an entity holds within a security or law-enforcement apparatus.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:38 p.m.