Triple
T9899838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .NET MAUI |
E182255
|
entity |
| Predicate | supportsPlatform |
P203
|
FINISHED |
| Object | Tizen |
E182258
|
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: Tizen | Statement: [.NET MAUI, supportsPlatform, Tizen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tizen Context triple: [.NET MAUI, supportsPlatform, Tizen]
-
A.
Tizen
chosen
Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
-
B.
Fire OS
Fire OS is Amazon's Android-based operating system designed primarily for its Fire tablets, Fire TV devices, and other Amazon hardware.
-
C.
Google Brillo
Google Brillo was a lightweight, Android-based operating system platform developed by Google for Internet of Things (IoT) devices, later evolved into Android Things.
-
D.
webOS
webOS is a Linux-based smart TV and formerly mobile operating system known for its card-based multitasking interface and later adoption by LG for its televisions and devices.
-
E.
HarmonyOS operating system
HarmonyOS operating system is Huawei’s distributed, multi-device operating system designed to run seamlessly across smartphones, wearables, smart TVs, and IoT devices.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4adc03481909e0f657db01e5bab |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb1b9534819093c5150f1ed8f685 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:40 p.m.