Triple
T10019959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakarta Bean Validation |
E200587
|
entity |
| Predicate | hasImplementation |
P3697
|
FINISHED |
| Object |
Hibernate Validator
Hibernate Validator is the reference implementation of the Jakarta Bean Validation specification, providing a comprehensive framework for declarative validation of Java objects and their constraints.
|
E836365
|
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: Hibernate Validator | Statement: [Jakarta Bean Validation, hasImplementation, Hibernate Validator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hibernate Validator Context triple: [Jakarta Bean Validation, hasImplementation, Hibernate Validator]
-
A.
Jakarta Bean Validation
Jakarta Bean Validation is a Jakarta EE specification that defines a standard, annotation-based way to declare and enforce constraints on Java object models, typically used for validating user input and application data.
-
B.
Validator
Validator is a Symfony component that provides a flexible validation system for checking and enforcing constraints on data and objects in PHP applications.
-
C.
ExampleValidator
ExampleValidator is a TensorFlow Extended component that automatically analyzes input data to detect anomalies and validate examples before they are used in machine learning pipelines.
-
D.
Colander validation library
Colander validation library is a Python package for declaratively defining and validating data structures, often used for configuration and web form data.
-
E.
Jhiben Hot Spring
Jhiben Hot Spring is a popular hot spring resort area in southeastern Taiwan known for its natural thermal waters, scenic mountain surroundings, and spa facilities.
- 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: Hibernate Validator Triple: [Jakarta Bean Validation, hasImplementation, Hibernate Validator]
Generated description
Hibernate Validator is the reference implementation of the Jakarta Bean Validation specification, providing a comprehensive framework for declarative validation of Java objects and their constraints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hibernate Validator Target entity description: Hibernate Validator is the reference implementation of the Jakarta Bean Validation specification, providing a comprehensive framework for declarative validation of Java objects and their constraints.
-
A.
Jakarta Bean Validation
Jakarta Bean Validation is a Jakarta EE specification that defines a standard, annotation-based way to declare and enforce constraints on Java object models, typically used for validating user input and application data.
-
B.
Validator
Validator is a Symfony component that provides a flexible validation system for checking and enforcing constraints on data and objects in PHP applications.
-
C.
ExampleValidator
ExampleValidator is a TensorFlow Extended component that automatically analyzes input data to detect anomalies and validate examples before they are used in machine learning pipelines.
-
D.
Colander validation library
Colander validation library is a Python package for declaratively defining and validating data structures, often used for configuration and web form data.
-
E.
Jhiben Hot Spring
Jhiben Hot Spring is a popular hot spring resort area in southeastern Taiwan known for its natural thermal waters, scenic mountain surroundings, and spa facilities.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd777b208190ad75eac79eec0c2f |
completed | April 2, 2026, 1:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26aaa38188190aed8c18eccd8a79d |
completed | April 5, 2026, 1:59 p.m. |
| NEDg | Description generation | batch_69d26b84271881909c3a1b8a05e2c8a2 |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26f50dc008190866f0ba45b671560 |
completed | April 5, 2026, 2:18 p.m. |
Created at: March 30, 2026, 8:53 p.m.