Triple
T3451616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy |
E72804
|
entity |
| Predicate | softwareLayer |
P43636
|
FINISHED |
| Object | One UI |
E303189
|
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: One UI | Statement: [Samsung Galaxy, softwareLayer, One UI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One UI Context triple: [Samsung Galaxy, softwareLayer, One UI]
-
A.
One UI
chosen
One UI is Samsung's custom Android-based user interface designed to provide a clean, intuitive experience across its smartphones and tablets.
-
B.
One UI Watch
One UI Watch is Samsung's customized smartwatch interface for Wear OS, designed to provide a cohesive, phone-like experience on Galaxy Watch devices.
-
C.
EMUI user interface
EMUI user interface is Huawei's customized Android-based operating system layer that provides a distinct visual style, features, and optimizations for its smartphones and tablets.
-
D.
Tizen
Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
-
E.
Samsung Knox
Samsung Knox is Samsung’s enterprise-grade mobile security platform that provides hardware- and software-based protections for devices, data, and applications in corporate and government environments.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7465248190947f9096e230e1c4 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360ef69308190a11f37ddbf3bbc7b |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.