Triple
T3421148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Weather |
E72116
|
entity |
| Predicate | supportsPlatform |
P203
|
FINISHED |
| Object | Wear OS smartwatches |
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 smartwatches | Statement: [Google Weather, supportsPlatform, Wear OS smartwatches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wear OS smartwatches Context triple: [Google Weather, supportsPlatform, Wear OS smartwatches]
-
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.
Samsung Galaxy Watch
The Samsung Galaxy Watch is a line of smartwatches that extends Samsung’s Galaxy ecosystem with fitness tracking, notifications, and app connectivity on the wrist.
-
C.
Moto 360
Moto 360 is a line of Android Wear-based smartwatches known for their round displays and minimalist design.
-
D.
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.
-
E.
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.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb950f65481908c4aad15516e7a7c |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c285688190a264fcb4ab271b82 |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:15 p.m.