Triple

T13425259
Position Surface form Disambiguated ID Type / Status
Subject Databricks E313462 entity
Predicate offersProduct P10882 FINISHED
Object Databricks SQL E313462 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: Databricks SQL | Statement: [Databricks, offersProduct, Databricks SQL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Databricks SQL
Context triple: [Databricks, offersProduct, Databricks SQL]
  • A. Databricks chosen
    Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
  • B. Azure Synapse Analytics
    Azure Synapse Analytics is a cloud-based analytics service from Microsoft that unifies big data and data warehousing to enable large-scale data integration, exploration, and business intelligence.
  • C. 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.
  • D. AnalyticDB
    AnalyticDB is Alibaba Cloud’s distributed cloud-native data warehousing and analytics service designed for high-performance, real-time analysis of large-scale data.
  • E. BlazingSQL
    BlazingSQL is an open-source SQL engine that enables GPU-accelerated data processing and analytics, often used within the NVIDIA RAPIDS ecosystem for high-performance query execution on large datasets.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed066408190a416880affd8416e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308673488190a64f4b205899605b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:40 p.m.