Triple
T286847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linux |
E5903
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Android operating system |
E2480
|
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 operating system | Statement: [Linux, usedIn, Android operating system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Android operating system Context triple: [Linux, usedIn, Android operating system]
-
A.
Android
chosen
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
B.
Android Dalvik VM
Android Dalvik VM is the original process-virtual-machine-based runtime used by early versions of the Android operating system to execute applications compiled to Dalvik bytecode.
-
C.
Wear OS
Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
-
D.
Android Automotive OS
Android Automotive OS is a version of the Android operating system designed specifically to run directly on in-vehicle infotainment and digital cockpit systems.
-
E.
Windows Mobile
Windows Mobile is a discontinued Microsoft operating system platform designed for smartphones and mobile devices, offering a touch-based interface and integration with Windows and Office 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2ddaa88190b08c40b5823f30a0 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a885fd4c8190a2293f73ba9c8a46 |
completed | March 1, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.