Triple
T1647651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Synapse Analytics |
E35618
|
entity |
| Predicate | cloudModel |
P9405
|
FINISHED |
| Object | public cloud |
—
|
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: public cloud | Statement: [Azure Synapse Analytics, cloudModel, public cloud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cloudModel Context triple: [Azure Synapse Analytics, cloudModel, public cloud]
-
A.
hasCloudComposition
Indicates that an atmospheric body or region possesses a specific composition or makeup of clouds.
-
B.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
C.
concurrentModel
Indicates that two or more processes, activities, or states occur or are valid at the same time, potentially interacting or overlapping in execution.
-
D.
deploymentModel
chosen
Indicates the type or manner in which a system, service, or resource is deployed or made available (e.g., on-premises, cloud, hybrid).
-
E.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.