Triple

T18530254
Position Surface form Disambiguated ID Type / Status
Subject Symfony Form E452813 entity
Predicate integratesWith P1075 FINISHED
Object Symfony Validator component
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.
 E120465 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: 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.
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: Symfony Validator component
Triple: [Symfony Form, integratesWith, Symfony Validator component]
Generated 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.
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 (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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fb940c81909d4ad9fc37f47829 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04917afbe08190921b6f8bce34596d completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a0491fa71f881909217ec68e5aca45d completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492d4811c8190ad177b5d52aba66c completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.