Triple

T18016945
Position Surface form Disambiguated ID Type / Status
Subject Snowflake Native Apps E431018 entity
Predicate supportsComponent P18380 FINISHED
Object Snowflake Streamlit apps 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: Snowflake Streamlit apps | Statement: [Snowflake Native Apps, supportsComponent, Snowflake Streamlit apps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowflake Streamlit apps
Context triple: [Snowflake Native Apps, supportsComponent, Snowflake Streamlit apps]
  • A. Snowflake Native Apps
    Snowflake Native Apps are applications built and deployed directly within the Snowflake Data Cloud, allowing developers to create, distribute, and monetize data-intensive solutions that run securely where the data lives.
  • B. Streamlit
    Streamlit is an open-source Python framework that lets developers quickly build and share interactive web apps for data science and machine learning.
  • C. Streamlit Community Cloud
    Streamlit Community Cloud is a hosted platform that lets users easily deploy, share, and manage Streamlit data apps directly from their code repositories.
  • D. Snowflake Data Cloud
    Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
  • E. Snowflake virtual warehouses
    Snowflake virtual warehouses are scalable compute clusters in the Snowflake cloud data platform that execute queries and data processing workloads independently of storage.
  • 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: Snowflake Streamlit apps
Target entity description: Snowflake Streamlit apps are interactive, Python-based data applications built and run directly within the Snowflake platform using the Streamlit framework for rapid analytics and visualization.
  • A. Snowflake Native Apps chosen
    Snowflake Native Apps are applications built and deployed directly within the Snowflake Data Cloud, allowing developers to create, distribute, and monetize data-intensive solutions that run securely where the data lives.
  • B. Streamlit
    Streamlit is an open-source Python framework that lets developers quickly build and share interactive web apps for data science and machine learning.
  • C. Streamlit Community Cloud
    Streamlit Community Cloud is a hosted platform that lets users easily deploy, share, and manage Streamlit data apps directly from their code repositories.
  • D. Snowflake Data Cloud
    Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
  • E. Snowflake virtual warehouses
    Snowflake virtual warehouses are scalable compute clusters in the Snowflake cloud data platform that execute queries and data processing workloads independently of storage.
  • F. None of above.

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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9be5d0c819097e006f32d98753a completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.