Triple
T815655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby |
E17647
|
entity |
| Predicate | hasMajorImplementation |
P16200
|
FINISHED |
| Object |
JRuby
JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
|
E96201
|
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: JRuby | Statement: [Ruby, hasMajorImplementation, JRuby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JRuby Context triple: [Ruby, hasMajorImplementation, JRuby]
-
A.
Ruby
Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
-
B.
Julia
Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
-
C.
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
-
D.
Jython
Jython is an implementation of the Python programming language that runs on the Java platform and allows seamless integration with Java code and libraries.
-
E.
OpenJDK
OpenJDK is the official open-source implementation of the Java Platform, Standard Edition, providing the core Java runtime and development tools used across the industry.
- 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: JRuby Triple: [Ruby, hasMajorImplementation, JRuby]
Generated description
JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JRuby Target entity description: JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
-
A.
Ruby
Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
-
B.
Julia
Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
-
C.
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
-
D.
Jython
Jython is an implementation of the Python programming language that runs on the Java platform and allows seamless integration with Java code and libraries.
-
E.
OpenJDK
OpenJDK is the official open-source implementation of the Java Platform, Standard Edition, providing the core Java runtime and development tools used across the industry.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4b2b503d48190bd4f33548a22d5fe |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8b0b0c8190a6226d6b8daade25 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a782eda49c8190bdaf4fb8db685071 |
completed | March 4, 2026, 12:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a784f6eee48190a348008b931d545b |
completed | March 4, 2026, 1:03 a.m. |
Created at: March 1, 2026, 7:38 p.m.