Triple

T14343709
Position Surface form Disambiguated ID Type / Status
Subject java.text E355661 entity
Predicate containsClass P9272 FINISHED
Object java.text.RuleBasedCollator E1094413 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.text.RuleBasedCollator | Statement: [java.text, containsClass, java.text.RuleBasedCollator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: java.text.RuleBasedCollator
Context triple: [java.text, containsClass, java.text.RuleBasedCollator]
  • A. java.text.Collator chosen
    java.text.Collator is a Java class that provides locale-sensitive comparison of strings, enabling proper alphabetic ordering and collation according to language-specific rules.
  • B. Default Unicode Collation Element Table
    The Default Unicode Collation Element Table is the standard reference data used by the Unicode Collation Algorithm to define the default sorting and comparison order for all Unicode characters.
  • C. Unicode CLDR
    Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
  • D. Unicode ICU
    Unicode ICU (International Components for Unicode) is a widely used open-source library that provides robust, cross-platform support for Unicode text handling, internationalization, and localization in software applications.
  • E. Unicode bidirectional algorithm
    The Unicode bidirectional algorithm is a core text-processing method that determines the correct display order of mixed left-to-right and right-to-left scripts, such as Latin and Arabic, in digital text.
  • 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.