Triple
T94973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ventra |
E1909
|
entity |
| Predicate | mobileAppAvailableOn |
P1292
|
FINISHED |
| Object | Android |
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 | Statement: [Ventra, mobileAppAvailableOn, Android]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Android Context triple: [Ventra, mobileAppAvailableOn, Android]
-
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.
Wear OS
Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
-
C.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
D.
Pixel smartphones
Pixel smartphones are Google’s flagship Android phones known for their clean software experience, powerful AI-driven features, and industry-leading camera performance.
-
E.
Chromebook
Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a256a7957c8190bf9924eff7572b95 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a262474440819093e075d5a009ee53 |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.