Triple
T4325662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flask-Caching |
E96628
|
entity |
| Predicate | typicalImportName |
P20017
|
FINISHED |
| Object | flask_caching |
E96628
|
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_caching | Statement: [Flask-Caching, typicalImportName, flask_caching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: flask_caching Context triple: [Flask-Caching, typicalImportName, flask_caching]
-
A.
Flask-Caching
chosen
Flask-Caching is a Flask extension that provides easy-to-use caching support to improve the performance and scalability of Flask web applications.
-
B.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
C.
Flask
Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
-
D.
Flask-Login
Flask-Login is a Flask extension that simplifies user session management by handling user authentication, login tracking, and access control in web applications.
-
E.
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.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3512ec18481908a7b5c29b3902b53 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4f309988190abda9b4e6a422260 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:13 p.m.