Triple

T18530366
Position Surface form Disambiguated ID Type / Status
Subject Serializer (Symfony component) E452815 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: [Serializer (Symfony component), integratesWith, Symfony Validator component]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symfony Validator component
Context triple: [Serializer (Symfony component), 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. Symfony Security CSRF component
    The Symfony Security CSRF component is a framework module that provides tools to protect web applications against Cross-Site Request Forgery attacks by generating and validating CSRF tokens.
  • 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. 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.
  • 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 that provides a powerful constraint-based system for validating objects, data structures, and user input in PHP applications.
  • 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. Symfony Security CSRF component
    The Symfony Security CSRF component is a framework module that provides tools to protect web applications against Cross-Site Request Forgery attacks by generating and validating CSRF tokens.
  • 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. 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.
  • 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_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.