Triple

T7985898
Position Surface form Disambiguated ID Type / Status
Subject Apache Flume E185680 entity
Predicate supports P516 FINISHED
Object JDBC Channel
JDBC Channel is a Flume channel implementation that reliably stores event data in a relational database using JDBC for durability and recovery.
 E705300 NE FINISHED

How this triple was built (4 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 Channel | Statement: [Apache Flume, supports, JDBC Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JDBC Channel
Context triple: [Apache Flume, supports, JDBC Channel]
  • A. JDBC
    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. javax.sql
    javax.sql is a Java package that provides extended JDBC support for database access, including connection pooling, distributed transactions, and rowset implementations.
  • C. java.sql
    java.sql is a core Java SE package that provides the standard APIs for accessing and manipulating relational databases using SQL.
  • D. jdb
    jdb is the command-line debugger for Java programs that comes bundled with the Oracle JDK.
  • E. Multiple Active Result Sets (MARS)
    Multiple Active Result Sets (MARS) is a SQL Server feature that allows a single database connection to execute and process multiple batches or result sets concurrently.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: JDBC Channel
Triple: [Apache Flume, supports, JDBC Channel]
Generated description
JDBC Channel is a Flume channel implementation that reliably stores event data in a relational database using JDBC for durability and recovery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JDBC Channel
Target entity description: JDBC Channel is a Flume channel implementation that reliably stores event data in a relational database using JDBC for durability and recovery.
  • A. JDBC
    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. javax.sql
    javax.sql is a Java package that provides extended JDBC support for database access, including connection pooling, distributed transactions, and rowset implementations.
  • C. java.sql
    java.sql is a core Java SE package that provides the standard APIs for accessing and manipulating relational databases using SQL.
  • D. jdb
    jdb is the command-line debugger for Java programs that comes bundled with the Oracle JDK.
  • E. Multiple Active Result Sets (MARS)
    Multiple Active Result Sets (MARS) is a SQL Server feature that allows a single database connection to execute and process multiple batches or result sets concurrently.
  • F. None of above. chosen

Provenance (5 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4b87e48190a797f5363c8f0a04 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e6f3c48190a0132fa90eec6420 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:15 p.m.