Triple
T14343112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JDK 1.0 |
E355649
|
entity |
| Predicate | includesComponent |
P1393
|
FINISHED |
| Object |
javap
javap is a Java class file disassembler tool that displays the bytecode and other low-level details of compiled Java classes.
|
E1094356
|
NE FINISHED |
How this triple was built (4 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: javap | Statement: [JDK 1.0, includesComponent, javap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: javap Context triple: [JDK 1.0, includesComponent, javap]
-
A.
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).
-
B.
javac
javac is the standard Java programming language compiler that translates Java source code into Java bytecode for the Java Virtual Machine.
-
C.
Java bytecode
Java bytecode is the platform-independent, low-level instruction set into which Java source code is compiled for execution by the Java Virtual Machine.
-
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.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: javap Triple: [JDK 1.0, includesComponent, javap]
Generated description
javap is a Java class file disassembler tool that displays the bytecode and other low-level details of compiled Java classes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: javap Target entity description: javap is a Java class file disassembler tool that displays the bytecode and other low-level details of compiled Java classes.
-
A.
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).
-
B.
javac
javac is the standard Java programming language compiler that translates Java source code into Java bytecode for the Java Virtual Machine.
-
C.
Java bytecode
Java bytecode is the platform-independent, low-level instruction set into which Java source code is compiled for execution by the Java Virtual Machine.
-
D.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 10, 2026, 1:14 a.m.