Triple

T20106620
Position Surface form Disambiguated ID Type / Status
Subject PaLM 2 E490194 entity
Predicate partOf P40 FINISHED
Object Google AI model family — 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 model family | Statement: [PaLM 2, partOf, Google AI model family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Google AI model family
Context triple: [PaLM 2, partOf, Google AI model family]
  • A. Google AI features
    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.
  • B. 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.
  • C. Google Brain
    Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
  • D. Vertex AI
    Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
  • E. 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.
  • 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 model family
Target entity description: The Google AI model family is a collection of large-scale artificial intelligence models developed by Google to power advanced capabilities in language understanding, reasoning, and multimodal tasks across its products and services.
  • A. Google AI features
    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.
  • B. 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.
  • C. Google Brain
    Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
  • D. Vertex AI
    Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
  • E. 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.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dcb8d4819091889e19dd9137a6 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.