Triple
T497911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Pay |
E10335
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Wear OS |
E2486
|
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: Wear OS | Statement: [Samsung Pay, compatibleWith, Wear OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wear OS Context triple: [Samsung Pay, compatibleWith, Wear OS]
-
A.
Wear OS
chosen
Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
-
B.
Mobvoi TicWatch Pro
The Mobvoi TicWatch Pro is a Wear OS-powered smartwatch known for its dual-layer display that extends battery life while offering full smartwatch functionality.
-
C.
Qualcomm Snapdragon Wear
Qualcomm Snapdragon Wear is a family of low-power system-on-chip platforms designed by Qualcomm specifically for wearable devices such as smartwatches and fitness trackers.
-
D.
Samsung Galaxy Watch5
The Samsung Galaxy Watch5 is a premium smartwatch that combines Samsung’s hardware and health-tracking features with Google’s Wear OS platform for apps and services.
-
E.
Apple Watch
The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1183e988190bce70932a9678134 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481efc3a881909575c5981e13a16b |
completed | March 1, 2026, 6:14 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.