Triple

T14890631
Position Surface form Disambiguated ID Type / Status
Subject PhpStorm E359744 entity
Predicate supportsFramework P9089 FINISHED
Object Symfony E120465 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: Symfony | Statement: [PhpStorm, supportsFramework, Symfony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symfony
Context triple: [PhpStorm, supportsFramework, Symfony]
  • A. Symfony chosen
    Symfony is a popular open-source PHP framework used for building scalable, high-performance web applications and reusable components.
  • B. SymfonyCon
    SymfonyCon is an official international conference that brings together the Symfony PHP framework community for talks, workshops, and networking.
  • C. Symfony Flex
    Symfony Flex is a modern dependency management and automation tool for Symfony applications that streamlines installing, configuring, and updating bundles and packages.
  • D. SymfonyCloud
    SymfonyCloud is a managed cloud hosting and deployment platform tailored for Symfony applications, providing an optimized environment for building, running, and scaling Symfony-based projects.
  • E. SymfonyCasts
    SymfonyCasts is an online learning platform offering video tutorials and courses focused on Symfony and related web development technologies.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b61407481908a618d14c56d2abf completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.