Triple
T122572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android |
E2480
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Android Auto
Android Auto is Google’s in-car software platform that mirrors Android smartphone features onto a vehicle’s infotainment system for safer, hands-free navigation, communication, and media control while driving.
|
E13750
|
NE FINISHED |
How this triple was built (4 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 Auto | Statement: [Android, hasVariant, Android Auto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Android Auto Context triple: [Android, hasVariant, Android Auto]
-
A.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
B.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
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
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
E.
Tesla Model Y
The Tesla Model Y is a compact all-electric crossover SUV known for its long range, advanced driver-assistance features, and minimalist high-tech interior.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Android Auto Triple: [Android, hasVariant, Android Auto]
Generated description
Android Auto is Google’s in-car software platform that mirrors Android smartphone features onto a vehicle’s infotainment system for safer, hands-free navigation, communication, and media control while driving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Android Auto Target entity description: Android Auto is Google’s in-car software platform that mirrors Android smartphone features onto a vehicle’s infotainment system for safer, hands-free navigation, communication, and media control while driving.
-
A.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
B.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
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
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
E.
Tesla Model Y
The Tesla Model Y is a compact all-electric crossover SUV known for its long range, advanced driver-assistance features, and minimalist high-tech interior.
- F. None of above. chosen
Provenance (5 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_69a2982485348190b2b361aef7b42fc9 |
completed | Feb. 28, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69a299032e748190b8f91ff2109c40fe |
completed | Feb. 28, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a29af5cf3c8190a88b5cbabea72cc5 |
completed | Feb. 28, 2026, 7:36 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.