Triple

T14342896
Position Surface form Disambiguated ID Type / Status
Subject java.nio E355645 entity
Predicate contains P35 FINISHED
Object java.nio.CharBuffer E355645 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.nio.CharBuffer | Statement: [java.nio, contains, java.nio.CharBuffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: java.nio.CharBuffer
Context triple: [java.nio, contains, java.nio.CharBuffer]
  • A. java.nio chosen
    java.nio is a Java API package that provides non-blocking I/O, buffer management, and scalable channel-based input/output operations.
  • B. NIO
    NIO is a Chinese electric vehicle manufacturer known for its premium smart EVs and innovative battery-swapping technology.
  • C. Unicode Character Database
    The Unicode Character Database is a comprehensive collection of machine-readable data files that define the properties, classifications, and behaviors of every character encoded in the Unicode Standard.
  • D. 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.
  • E. Unicode Standard code charts
    Unicode Standard code charts are official visual reference tables published by the Unicode Consortium that display every encoded character, its code point, and related annotations for each script and symbol block in the Unicode Standard.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e87febc8190a63c668cbd0fd713 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469d899081909103563f209dd944 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.