Triple

T3415086
Position Surface form Disambiguated ID Type / Status
Subject Java Class Library E71989 entity
Predicate includesPackage P49317 FINISHED
Object java.sql E355646 NE FINISHED

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: java.sql | Statement: [Java Class Library, includesPackage, java.sql]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: java.sql
Context triple: [Java Class Library, includesPackage, java.sql]
  • A. java.sql chosen
    java.sql is a core Java SE package that provides the standard APIs for accessing and manipulating relational databases using SQL.
  • 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. 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.
  • D. DriverManager
    DriverManager is a core JDBC utility class in Java that manages a list of database drivers and establishes connections to databases based on provided URLs and credentials.
  • E. SQL
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb929b8ec8190aef431ec8ea2cf80 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546a73988190aeee83c090aa0bcf completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.