Triple

T18051919
Position Surface form Disambiguated ID Type / Status
Subject MarkupSafe E431942 entity
Predicate usedBy P260 FINISHED
Object Jinja2 templating engine NE NERFINISHED

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: Jinja2 templating engine | Statement: [MarkupSafe, usedBy, Jinja2 templating engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinja2 templating engine
Context triple: [MarkupSafe, usedBy, Jinja2 templating engine]
  • A. Jinja2 chosen
    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.
  • B. Jinja
    Jinja is a popular and powerful templating engine for Python, widely used for generating dynamic HTML in web applications and frameworks like Flask.
  • C. Jinja
    Jinja is a major town in southeastern Uganda, known as a key industrial center and a popular tourist destination near the source of the Nile River.
  • 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. Twig
    Twig is a modern, secure, and flexible templating engine for PHP, widely used to separate presentation from application logic in frameworks like Symfony.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c0fe4f1881908fa8485cb3ccfa44 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:25 a.m.