Triple
T17561389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Beam |
E427701
|
entity |
| Predicate | supportsIO |
P203
|
FINISHED |
| Object | JDBC |
—
|
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: JDBC | Statement: [Apache Beam, supportsIO, JDBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JDBC Context triple: [Apache Beam, supportsIO, JDBC]
-
A.
JDBC
chosen
JDBC (Java Database Connectivity) is a Java-based API that enables applications to connect to and interact with relational databases in a standardized way.
-
B.
java.sql
java.sql is a core Java SE package that provides the standard APIs for accessing and manipulating relational databases using SQL.
-
C.
javax.sql
javax.sql is a Java package that provides extended JDBC support for database access, including connection pooling, distributed transactions, and rowset implementations.
-
D.
JDBC Channel
JDBC Channel is a Flume channel implementation that reliably stores event data in a relational database using JDBC for durability and recovery.
-
E.
ODBC
ODBC (Open Database Connectivity) is a standard API that enables applications to access and query data from a wide variety of relational and non-relational database management systems using a common interface.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456274c888190ac80402e391674dd |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.