Triple

T6790597
Position Surface form Disambiguated ID Type / Status
Subject Laminas (Magento 2) E155920 entity
Predicate derivedFrom P909 FINISHED
Object Zend Framework E155919 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: Zend Framework | Statement: [Laminas (Magento 2), derivedFrom, Zend Framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zend Framework
Context triple: [Laminas (Magento 2), derivedFrom, Zend Framework]
  • A. Zend Framework (Magento 1) chosen
    Zend Framework (Magento 1) is the PHP-based MVC framework that underpins the core architecture and libraries of the original Magento 1 e-commerce platform.
  • B. Slim Framework
    Slim Framework is a lightweight PHP micro-framework designed for building simple yet powerful web applications and APIs with minimal overhead.
  • C. Laminas (Magento 2)
    Laminas (Magento 2) is a PHP framework component library, derived from the Zend Framework, that underpins Magento 2’s core application architecture and web service functionality.
  • D. CakePHP
    CakePHP is an open-source rapid development web framework for PHP that follows the MVC pattern and emphasizes convention over configuration to streamline building web applications.
  • E. Magento
    Magento is an open-source e-commerce platform widely used by businesses to build and manage online stores with extensive customization and scalability.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2acbfc0819081f2d6cebfb91765 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8c445c8190abea97a04d648f52 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.