Triple
T122926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wear OS |
E2486
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Android Wear |
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: Android Wear | Statement: [Wear OS, originalName, Android Wear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Android Wear Context triple: [Wear OS, originalName, Android Wear]
-
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.
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.
-
C.
Google Fit
Google Fit is a health and fitness tracking platform by Google that aggregates activity, workout, and wellness data across devices and apps.
-
D.
Android
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
E.
Fitbit
Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e494ef08190b8c5b5f8d52251c8 |
completed | Feb. 28, 2026, 7:50 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.