Triple

T7984847
Position Surface form Disambiguated ID Type / Status
Subject Apache Spark E185661 entity
Predicate provides P490 FINISHED
Object Catalyst query optimizer
Catalyst query optimizer is the extensible query optimization framework in Apache Spark that analyzes, rewrites, and optimizes logical and physical query plans to improve performance.
 E702183 NE FINISHED

How this triple was built (4 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: Catalyst query optimizer | Statement: [Apache Spark, provides, Catalyst query optimizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Catalyst query optimizer
Context triple: [Apache Spark, provides, Catalyst query optimizer]
  • A. SPICE in-memory engine
    SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
  • B. Database Tuning Advisor
    Database Tuning Advisor is a SQL Server tool that analyzes workloads and recommends optimal indexes, indexed views, and partitioning strategies to improve database performance.
  • C. Optimized Row Columnar
    Optimized Row Columnar (ORC) is a highly efficient, columnar storage file format commonly used in big data systems like Apache Hive to enable fast query performance and effective data compression.
  • D. Database Performance Analyzer
    Database Performance Analyzer is a SolarWinds software tool designed to monitor, analyze, and optimize database performance across various database platforms.
  • E. IMPALA
    IMPALA is a scalable deep reinforcement learning architecture designed for efficient distributed training of agents across many tasks and environments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Catalyst query optimizer
Triple: [Apache Spark, provides, Catalyst query optimizer]
Generated description
Catalyst query optimizer is the extensible query optimization framework in Apache Spark that analyzes, rewrites, and optimizes logical and physical query plans to improve performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Catalyst query optimizer
Target entity description: Catalyst query optimizer is the extensible query optimization framework in Apache Spark that analyzes, rewrites, and optimizes logical and physical query plans to improve performance.
  • A. SPICE in-memory engine
    SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
  • B. Database Tuning Advisor
    Database Tuning Advisor is a SQL Server tool that analyzes workloads and recommends optimal indexes, indexed views, and partitioning strategies to improve database performance.
  • C. Optimized Row Columnar
    Optimized Row Columnar (ORC) is a highly efficient, columnar storage file format commonly used in big data systems like Apache Hive to enable fast query performance and effective data compression.
  • D. Database Performance Analyzer
    Database Performance Analyzer is a SolarWinds software tool designed to monitor, analyze, and optimize database performance across various database platforms.
  • E. IMPALA
    IMPALA is a scalable deep reinforcement learning architecture designed for efficient distributed training of agents across many tasks and environments.
  • F. None of above. chosen

Provenance (5 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4a55b881909a96133e56c0dffa completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e0b2748190930c22c6157d1b07 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43e47048190a0044477f88de5d0 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0d60254c819087d1de7ca6ea554b completed March 31, 2026, 6:07 p.m.
Created at: March 30, 2026, 5:15 p.m.