Triple
T10019935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakarta Bean Validation |
E200587
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object | Bean Validation |
E200587
|
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: Bean Validation | Statement: [Jakarta Bean Validation, previousName, Bean Validation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bean Validation Context triple: [Jakarta Bean Validation, previousName, Bean Validation]
-
A.
Jakarta Bean Validation
chosen
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.
Bean
Bean is a common English surname of Old English origin, associated with various notable individuals including the actor Sean Bean.
- 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_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. |
Created at: March 30, 2026, 8:53 p.m.