Triple
T18531820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slim CSRF |
E452847
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Slim Framework |
—
|
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: Slim Framework | Statement: [Slim CSRF, relatedTo, Slim Framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slim Framework Context triple: [Slim CSRF, relatedTo, Slim Framework]
-
A.
Slim Framework
chosen
Slim Framework is a lightweight PHP micro-framework designed for building simple yet powerful web applications and APIs with minimal overhead.
-
B.
Silex microframework
Silex microframework is a lightweight PHP web framework built on Symfony components, designed for creating small, fast, and simple web applications and APIs.
-
C.
Slim PHP-View
Slim PHP-View is a lightweight PHP template renderer designed to integrate seamlessly with the Slim Framework for simple, flexible view handling.
-
D.
Quasar Framework
Quasar Framework is a high-performance, Vue.js-based UI framework for building responsive web, mobile, and desktop applications from a single codebase.
-
E.
Plasma Framework
Plasma Framework is a core KDE library that provides the infrastructure and tools for building Plasma-based graphical user interfaces, widgets, and desktop environments.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fe35288190977c85ee0bb96264 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.