Triple
T19749944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PolarDB |
E474348
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Alibaba Cloud Data Transmission Service |
—
|
NE NERFINISHED |
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: Alibaba Cloud Data Transmission Service | Statement: [PolarDB, integratesWith, Alibaba Cloud Data Transmission Service]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alibaba Cloud Data Transmission Service Context triple: [PolarDB, integratesWith, Alibaba Cloud Data Transmission Service]
-
A.
Alibaba Cloud
Alibaba Cloud is a leading global cloud computing and infrastructure services provider originating from China, offering a wide range of scalable computing, storage, and data solutions.
-
B.
Alibaba Cloud CDN
Alibaba Cloud CDN is a content delivery network service that accelerates the distribution of web content globally by caching and delivering data from edge nodes closer to end users.
-
C.
Alibaba Cloud Log Service
Alibaba Cloud Log Service is a fully managed, scalable logging and observability platform for collecting, storing, analyzing, and visualizing log data within the Alibaba Cloud ecosystem.
-
D.
Amazon Kinesis
Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
-
E.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alibaba Cloud Data Transmission Service Target entity description: Alibaba Cloud Data Transmission Service is a managed cloud service that supports real-time data migration, synchronization, and subscription across various databases and data stores within Alibaba Cloud and external environments.
-
A.
Alibaba Cloud
Alibaba Cloud is a leading global cloud computing and infrastructure services provider originating from China, offering a wide range of scalable computing, storage, and data solutions.
-
B.
Alibaba Cloud CDN
Alibaba Cloud CDN is a content delivery network service that accelerates the distribution of web content globally by caching and delivering data from edge nodes closer to end users.
-
C.
Alibaba Cloud Log Service
Alibaba Cloud Log Service is a fully managed, scalable logging and observability platform for collecting, storing, analyzing, and visualizing log data within the Alibaba Cloud ecosystem.
-
D.
Amazon Kinesis
Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
-
E.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
- F. None of above. chosen
Provenance (2 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529875688190952af476aa5be492 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.