Triple
T825406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flask |
E17841
|
entity |
| Predicate | extensionEcosystem |
P11253
|
FINISHED |
| Object |
Flask-SQLAlchemy
Flask-SQLAlchemy is a popular Flask extension that integrates the SQLAlchemy ORM with Flask applications to simplify database configuration and usage.
|
E96623
|
NE FINISHED |
How this triple was built (5 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-SQLAlchemy | Statement: [Flask, extensionEcosystem, Flask-SQLAlchemy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flask-SQLAlchemy Context triple: [Flask, extensionEcosystem, Flask-SQLAlchemy]
-
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.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
E.
SQLite
SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
- 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-SQLAlchemy Triple: [Flask, extensionEcosystem, Flask-SQLAlchemy]
Generated description
Flask-SQLAlchemy is a popular Flask extension that integrates the SQLAlchemy ORM with Flask applications to simplify database configuration and usage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flask-SQLAlchemy Target entity description: Flask-SQLAlchemy is a popular Flask extension that integrates the SQLAlchemy ORM with Flask applications to simplify database configuration and usage.
-
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.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
E.
SQLite
SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extensionEcosystem Context triple: [Flask, extensionEcosystem, Flask-SQLAlchemy]
-
A.
extension
Indicates that one entity is a lengthening, continuation, or added part of another entity beyond its original limits.
-
B.
extensionMechanism
chosen
Indicates that one entity provides a way to extend, customize, or add new functionality or components to another entity.
-
C.
extendedBy
Indicates that one entity builds upon, enlarges, or adds to the scope, functionality, or duration of another entity.
-
D.
extendsUnder
Indicates that one entity physically stretches or reaches out beneath another entity, occupying a lower position while continuing under its span or area.
-
E.
extendsTo
Indicates that one entity reaches, stretches, or continues its scope, influence, or coverage up to or into another entity.
- F. None of above.
Provenance (6 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_69a4ab7eb0a08190889463edb0e7bd59 |
completed | March 1, 2026, 9:11 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. |
| PD | Predicate disambiguation | batch_69a4aa781e1081909df006f730296c53 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.