Triple

T14538778
Position Surface form Disambiguated ID Type / Status
Subject Swing E341117 entity
Predicate contains P35 FINISHED
Object JPanel E1094394 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: JPanel | Statement: [Swing, contains, JPanel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JPanel
Context triple: [Swing, contains, JPanel]
  • A. JPanel chosen
    JPanel is a lightweight container class in Java's Swing library used to group and organize components within a graphical user interface.
  • B. JDesktopPane
    JDesktopPane is a Swing container that provides a virtual desktop for managing multiple internal frames within a single main application window.
  • C. JRootPane
    JRootPane is a fundamental Swing container that manages a top-level window’s layered content, glass pane, and menu bar structure in Java GUI applications.
  • D. javax.swing
    javax.swing is a Java package that provides a set of lightweight, platform-independent GUI components for building desktop applications.
  • E. Pane
    Pane is an alternative spelling or variant form of the surname Paine, historically associated with figures such as the political philosopher Thomas Paine.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bb90008190947ac0961393446d completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.