Triple

T22330377
Position Surface form Disambiguated ID Type / Status
Subject Deform E552006 entity
Predicate integration P1075 FINISHED
Object Pyramid web framework 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: Pyramid web framework | Statement: [Deform, integration, Pyramid web framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyramid web framework
Context triple: [Deform, integration, Pyramid web framework]
  • A. Pyramid (web framework) chosen
    Pyramid is a lightweight, flexible Python web framework focused on simplicity, scalability, and allowing developers to choose their own components.
  • B. Pylons web framework
    Pylons is a lightweight, Python-based web framework focused on flexibility and reusability, combining components from multiple libraries to build web applications.
  • C. Flask
    Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • D. Flask
    Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
  • E. Django
    Django is a 1966 Italian Spaghetti Western film directed by Sergio Corbucci and starring Franco Nero as a mysterious gunslinger, renowned for its gritty style and influential impact on the genre.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.