Triple
T1612869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rider |
E34650
|
entity |
| Predicate | supportsTechnology |
P5090
|
FINISHED |
| Object | Blazor |
E182231
|
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: Blazor | Statement: [Rider, supportsTechnology, Blazor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blazor Context triple: [Rider, supportsTechnology, Blazor]
-
A.
Blazor
chosen
Blazor is a Microsoft web framework that enables developers to build interactive client-side web UIs using C# and .NET instead of JavaScript.
-
B.
Svelte
Svelte is a modern JavaScript framework and compiler for building user interfaces that shifts much of the work to a build step, producing highly efficient, minimal runtime code.
-
C.
.NET Core
.NET Core is a cross-platform, open-source, modular implementation of the .NET platform designed for building modern, cloud-based, and high-performance applications.
-
D.
Xamarin
Xamarin is a cross-platform mobile app development framework that allows developers to build native iOS, Android, and Windows applications using C# and .NET.
-
E.
.NET MAUI
.NET MAUI is a cross-platform framework from Microsoft for building native desktop and mobile applications with a single .NET codebase and shared UI.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9098e245c8190b0169b648434aa49 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58c6d7e88190b9fc0e34a007a2f5 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:28 p.m.