Triple
T18705002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ExampleValidator |
E457345
|
entity |
| Predicate | configuration |
P2093
|
FINISHED |
| Object | ExampleValidatorConfig |
—
|
NE NERFINISHED |
How this triple was built (3 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: ExampleValidatorConfig | Statement: [ExampleValidator, configuration, ExampleValidatorConfig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ExampleValidatorConfig Context triple: [ExampleValidator, configuration, ExampleValidatorConfig]
-
A.
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.
-
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.
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.
-
D.
Symfony Validator component
The Symfony Validator component is a standalone library that provides a powerful constraint-based system for validating objects, data structures, and user input in PHP applications.
-
E.
Apache BVal
Apache BVal is an open-source implementation of the Jakarta Bean Validation specification provided by the Apache Software Foundation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ExampleValidatorConfig Target entity description: ExampleValidatorConfig is a configuration object that defines the settings and rules used to control how the ExampleValidator performs its validation tasks.
-
A.
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.
-
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.
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.
-
D.
Symfony Validator component
The Symfony Validator component is a standalone library that provides a powerful constraint-based system for validating objects, data structures, and user input in PHP applications.
-
E.
Apache BVal
Apache BVal is an open-source implementation of the Jakarta Bean Validation specification provided by the Apache Software Foundation.
- F. None of above. chosen
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671665bc8190b9b4a4ce4ec5b2eb |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.