Triple

T14394413
Position Surface form Disambiguated ID Type / Status
Subject Java bytecode E356918 entity
Predicate tooling P4791 FINISHED
Object javac E356675 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: javac | Statement: [Java bytecode, tooling, javac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: javac
Context triple: [Java bytecode, tooling, javac]
  • A. javac chosen
    javac is the standard Java programming language compiler that translates Java source code into Java bytecode for the Java Virtual Machine.
  • B. javah
    javah is a Java tool that generates C header and source files from compiled Java classes for use with native methods via the Java Native Interface (JNI).
  • 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. javap
    javap is a Java class file disassembler tool that displays the bytecode and other low-level details of compiled Java classes.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc2836c8190a61dfd04127fd255 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.