Triple

T14343483
Position Surface form Disambiguated ID Type / Status
Subject JCL E355657 entity
Predicate includesPackage P49317 FINISHED
Object java.lang E1094357 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.lang | Statement: [JCL, includesPackage, java.lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: java.lang
Context triple: [JCL, includesPackage, java.lang]
  • A. java.lang chosen
    java.lang is a core Java package that provides fundamental classes and interfaces essential for the Java programming language, such as basic types, strings, math, and system operations.
  • B. java.util
    java.util is a core Java standard library package that provides fundamental utility classes such as collections, date and time utilities, random number generators, and other commonly used helper functionality.
  • C. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • D. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • E. java.io
    java.io is a core Java package that provides classes and interfaces for system input and output through data streams, serialization, and file handling.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e89ed9c8190acdb647ee618e919 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c3f81e881909f742d0442e99dd6 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.