Triple
T19749930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PolarDB |
E474348
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | PolarDB for PostgreSQL |
—
|
NE NERFINISHED |
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: PolarDB for PostgreSQL | Statement: [PolarDB, hasEdition, PolarDB for PostgreSQL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PolarDB for PostgreSQL Context triple: [PolarDB, hasEdition, PolarDB for PostgreSQL]
-
A.
PolarDB
chosen
PolarDB is a cloud-native relational database service developed by Alibaba Cloud that provides high performance, scalability, and compatibility with popular database engines.
-
B.
ApsaraDB for RDS
ApsaraDB for RDS is Alibaba Cloud’s managed relational database service that provides scalable, high-availability SQL databases with automated management and security features.
-
C.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
D.
Aurora MySQL-Compatible Edition
Aurora MySQL-Compatible Edition is a cloud-native relational database engine in Amazon Aurora that offers high performance and scalability while maintaining compatibility with MySQL.
-
E.
Greenplum
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.