Triple

T20106430
Position Surface form Disambiguated ID Type / Status
Subject Gemini Pro E490189 entity
Predicate accessibleVia P1985 FINISHED
Object Google AI Studio API NE NERFINISHED

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: Google AI Studio API | Statement: [Gemini Pro, accessibleVia, Google AI Studio API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google AI Studio API
Context triple: [Gemini Pro, accessibleVia, Google AI Studio API]
  • A. Google AI Studio chosen
    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. 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.
  • C. OpenAI API platform
    The OpenAI API platform is a cloud-based service that provides developers with programmatic access to OpenAI’s language, code, and other AI models for integration into applications and workflows.
  • D. Vertex AI
    Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
  • E. AI2
    AI2 is a research institute founded by Paul Allen that advances artificial intelligence through open science, impactful AI systems, and large-scale scholarly resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.