Triple

T14343676
Position Surface form Disambiguated ID Type / Status
Subject javax.swing E355660 entity
Predicate hasSubpackage P79649 FINISHED
Object javax.swing.border LITERAL 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: javax.swing.border | Statement: [javax.swing, hasSubpackage, javax.swing.border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubpackage
Context triple: [javax.swing, hasSubpackage, javax.swing.border]
  • A. hasSubproject
    Indicates that a project includes another project as a subordinate or component part within its overall structure.
  • B. hasSubcomponent
    Indicates that one entity is a constituent part or component of another, larger entity.
  • C. hasSubNamespace chosen
    Indicates that one namespace is a direct subordinate or contained namespace within another namespace.
  • D. hasSubService
    Indicates that one service includes or is composed of another, more specific service as a subordinate or component part.
  • E. hasPackageName
    Indicates that an entity (such as a software component or module) is associated with a specific package name identifier.
  • F. None of above.

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.
PD Predicate disambiguation batch_69de2a9958e881909d03ac03f135163e completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:14 a.m.