Triple

T17596089
Position Surface form Disambiguated ID Type / Status
Subject Made by Google 2024 event E428575 entity
Predicate relatedTo P37 FINISHED
Object Google AI features — NE NERFINISHED

How this triple was built (3 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: Google AI features | Statement: [Made by Google 2024 event, relatedTo, Google AI features]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Google AI features
Context triple: [Made by Google 2024 event, relatedTo, Google AI features]
  • A. Google AI Studio
    Google AI Studio is a web-based development environment from Google that lets developers build, test, and integrate applications using Gemini and other Google AI models.
  • B. Vertex AI
    Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
  • C. Google Tensor
    Google Tensor is Google's custom-designed system-on-a-chip (SoC) platform created to power Pixel devices with advanced AI and machine learning capabilities.
  • D. Google Brain
    Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
  • E. Google Gemini
    Google Gemini is Google's family of advanced multimodal AI models designed to handle text, code, images, and other data types for a wide range of intelligent applications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Google AI features
Target entity description: Google AI features are a suite of artificial intelligence capabilities integrated across Google’s hardware, software, and cloud services to enhance productivity, creativity, and personalized user experiences.
  • A. Google AI Studio
    Google AI Studio is a web-based development environment from Google that lets developers build, test, and integrate applications using Gemini and other Google AI models.
  • B. Vertex AI
    Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
  • C. Google Tensor
    Google Tensor is Google's custom-designed system-on-a-chip (SoC) platform created to power Pixel devices with advanced AI and machine learning capabilities.
  • D. Google Brain
    Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
  • E. Google Gemini
    Google Gemini is Google's family of advanced multimodal AI models designed to handle text, code, images, and other data types for a wide range of intelligent applications.
  • F. None of above. chosen

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ec335c8190abcaff700cfff23b completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.