Triple
T18015599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ModelView |
E430990
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Flask-Admin |
—
|
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: Flask-Admin | Statement: [ModelView, partOf, Flask-Admin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flask-Admin Context triple: [ModelView, partOf, Flask-Admin]
-
A.
Flask-Admin
chosen
Flask-Admin is a popular Flask extension that provides a flexible, customizable administrative interface for managing application data and models.
-
B.
Flask-Security
Flask-Security is a Flask extension that provides a unified, high-level interface for handling authentication, authorization, user registration, and role management in web applications.
-
C.
Flask-SQLAlchemy
Flask-SQLAlchemy is a popular Flask extension that integrates the SQLAlchemy ORM with Flask applications to simplify database configuration and usage.
-
D.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
E.
Flask
Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.