Triple
T1610455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F# |
E34603
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Xamarin |
E34609
|
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: Xamarin | Statement: [F#, platform, Xamarin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xamarin Context triple: [F#, platform, Xamarin]
-
A.
Xamarin
chosen
Xamarin is a cross-platform mobile app development framework that allows developers to build native iOS, Android, and Windows applications using C# and .NET.
-
B.
Windows Presentation Foundation
Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
-
C.
Universal Windows Platform
Universal Windows Platform is Microsoft's application development framework that enables building and distributing apps across a wide range of Windows devices with a unified API and app model.
-
D.
.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.
-
E.
Visual Studio
Visual Studio is Microsoft's integrated development environment (IDE) used for building, debugging, and deploying applications across Windows, web, cloud, and mobile platforms.
- 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_69aa622b9fbc8190bff82acdde10deb6 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51c4bbfc8190b9d00e1562155a5f |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.