Triple
T12480142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MatePad series |
E298282
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object | HarmonyOS |
E298285
|
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: HarmonyOS | Statement: [MatePad series, operatingSystem, HarmonyOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HarmonyOS Context triple: [MatePad series, operatingSystem, HarmonyOS]
-
A.
HarmonyOS operating system
chosen
HarmonyOS operating system is Huawei’s distributed, multi-device operating system designed to run seamlessly across smartphones, wearables, smart TVs, and IoT devices.
-
B.
KaiOS
KaiOS is a lightweight mobile operating system designed for feature phones, bringing smartphone-like apps and internet capabilities to devices with limited hardware.
-
C.
Tizen
Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
-
D.
Huawei Mobile Services
Huawei Mobile Services is Huawei’s ecosystem of apps, cloud services, and core mobile functionalities designed to replace Google Mobile Services on its smartphones and other devices.
-
E.
One UI
One UI is Samsung's custom Android-based user interface designed to provide a clean, intuitive experience across its smartphones and tablets.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcdcd3c81908ad29145db241408 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba5efc881909784037b95f7bbe3 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.