Triple

T804856
Position Surface form Disambiguated ID Type / Status
Subject Venmo E17407 entity
Predicate platform 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: [Venmo, platform, Android]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Android
Context triple: [Venmo, platform, 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. Nexus (Google smartphone line)
    Nexus was a line of Android smartphones and tablets developed by Google in collaboration with various hardware manufacturers, serving as flagship devices for a pure Android experience before being succeeded by the Google Pixel series.
  • C. Google Pixel
    Google Pixel is a line of smartphones and related consumer devices developed by Google, known for its clean Android experience, advanced camera software, and deep integration with Google’s AI-powered services.
  • D. Wear OS
    Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
  • E. Moto G
    Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabff3d88190bec4299fa0d87df0 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68926c04081908923a7d114d1842d completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:38 p.m.