Triple

T8285249
Position Surface form Disambiguated ID Type / Status
Subject FLASK security architecture E193772 entity
Predicate developedFor P98 FINISHED
Object Flask microkernel E193772 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: Flask microkernel | Statement: [FLASK security architecture, developedFor, Flask microkernel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flask microkernel
Context triple: [FLASK security architecture, developedFor, Flask microkernel]
  • A. Flask
    Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
  • B. Flask
    Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • C. FLASK
    FLASK is a flexible, fine-grained security architecture originally developed for operating systems like SELinux to support configurable mandatory access control policies.
  • D. Flask-RESTful
    Flask-RESTful is a popular Flask extension that simplifies building RESTful APIs by providing tools for request parsing, input validation, and structured resource routing.
  • E. FLASK security architecture chosen
    FLASK security architecture is a flexible, fine-grained access control framework originally developed for the Flask microkernel to support mandatory access control policies and later used as the foundation for systems like SELinux.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd952399dc8190914951d4e9e36c38 completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:52 p.m.