Triple
T18015212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTForms |
E430981
|
entity |
| Predicate | hasEcosystem |
P531
|
FINISHED |
| Object | Flask-WTF extension |
—
|
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-WTF extension | Statement: [WTForms, hasEcosystem, Flask-WTF extension]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flask-WTF extension Context triple: [WTForms, hasEcosystem, Flask-WTF extension]
-
A.
Flask-WTF
chosen
Flask-WTF is a Flask extension that integrates WTForms to simplify web form creation, validation, and CSRF protection in Flask applications.
-
B.
WTForms
WTForms is a flexible Python library for creating and validating web forms, commonly used in web frameworks like Flask.
-
C.
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.
-
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_69e4b522e84c8190a03f6445df9f5ac8 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.