Triple
T18530254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symfony Form |
E452813
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Symfony Validator component |
—
|
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: Symfony Validator component | Statement: [Symfony Form, integratesWith, Symfony Validator component]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symfony Validator component Context triple: [Symfony Form, integratesWith, Symfony Validator component]
-
A.
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.
-
B.
Apache BVal
Apache BVal is an open-source implementation of the Jakarta Bean Validation specification provided by the Apache Software Foundation.
-
C.
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.
-
D.
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.
-
E.
Symfony
Symfony is a popular open-source PHP framework used for building scalable, high-performance web applications and reusable components.
- 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: Symfony Validator component Target entity description: The Symfony Validator component is a standalone library in the Symfony framework that provides a powerful, configurable system for validating objects, form data, and other values against a wide range of constraints.
-
A.
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.
-
B.
Apache BVal
Apache BVal is an open-source implementation of the Jakarta Bean Validation specification provided by the Apache Software Foundation.
-
C.
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.
-
D.
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.
-
E.
Symfony
chosen
Symfony is a popular open-source PHP framework used for building scalable, high-performance web applications and reusable components.
- F. None of above.
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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fb940c81909d4ad9fc37f47829 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.