Triple

T14890621
Position Surface form Disambiguated ID Type / Status
Subject PhpStorm E359744 entity
Predicate supportsLanguage P2177 FINISHED
Object Twig E452829 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: Twig | Statement: [PhpStorm, supportsLanguage, Twig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twig
Context triple: [PhpStorm, supportsLanguage, Twig]
  • A. Twig chosen
    Twig is a modern, secure, and flexible templating engine for PHP, widely used to separate presentation from application logic in frameworks like Symfony.
  • B. Jinja2
    Jinja2 is a popular Python templating engine used to generate dynamic HTML and other text-based formats, known for its Django-inspired syntax and integration with web frameworks like Flask.
  • C. TPL
    TPL is the standard abbreviation for The Plant List, a comprehensive online database of scientific plant names.
  • D. Nunjucks
    Nunjucks is a powerful JavaScript templating engine, inspired by Jinja2, commonly used to generate dynamic HTML in web applications and design systems.
  • E. TwigBridge
    TwigBridge is a Symfony component that integrates the Twig templating engine with the Symfony framework, providing tools and extensions to render templates within Symfony applications.
  • 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.