Triple
T32714001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | javax.transaction.Transaction |
E836471
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | transactional context abstraction |
C23816
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: transactional context abstraction Context triple: [javax.transaction.Transaction, instanceOf, transactional context abstraction]
-
A.
transaction manipulation utility
A transaction manipulation utility is a tool or component that creates, inspects, modifies, and validates transactional data or operations while preserving consistency and integrity constraints.
-
B.
transaction processing system
A transaction processing system is a software and hardware solution that reliably captures, validates, and records business transactions in real time while ensuring data integrity, consistency, and recoverability.
-
C.
abstraction layer
chosen
An abstraction layer is a conceptual class that hides the complexity of underlying systems or components by providing a simplified, uniform interface for higher-level operations.
-
D.
business transaction
A business transaction is an economic event involving the exchange of goods, services, or assets between parties that can be measured in monetary terms and recorded in an organization's financial records.
-
E.
core abstraction in Apache Flink
A core abstraction in Apache Flink is a fundamental programming or data model construct (such as DataStream or DataSet) that represents distributed data and the operations applied to it, enabling scalable, fault-tolerant stream and batch processing.
- F. None of above.
Provenance (1 batch)
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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:11 a.m.