Triple

T825409
Position Surface form Disambiguated ID Type / Status
Subject Flask E17841 entity
Predicate extensionEcosystem P11253 FINISHED
Object Flask-Migrate
Flask-Migrate is a Flask extension that integrates Alembic-based database schema migrations into Flask applications.
 E96625 NE FINISHED

How this triple was built (4 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-Migrate | Statement: [Flask, extensionEcosystem, Flask-Migrate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flask-Migrate
Context triple: [Flask, extensionEcosystem, Flask-Migrate]
  • 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. Django
    Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design for building secure, scalable web applications.
  • D. MariaDB
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • E. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flask-Migrate
Triple: [Flask, extensionEcosystem, Flask-Migrate]
Generated description
Flask-Migrate is a Flask extension that integrates Alembic-based database schema migrations into Flask applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flask-Migrate
Target entity description: Flask-Migrate is a Flask extension that integrates Alembic-based database schema migrations into Flask applications.
  • 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. Django
    Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design for building secure, scalable web applications.
  • D. MariaDB
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • E. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • F. None of above. chosen

Provenance (5 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2b503d48190bd4f33548a22d5fe completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9577f081908aa31b1926e04bb8 completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a78204c1208190b2d2d19cdea93b57 completed March 4, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69a78648601881908bfcb9390ac4d6d2 completed March 4, 2026, 1:09 a.m.
Created at: March 1, 2026, 7:38 p.m.