Triple

T17500141
Position Surface form Disambiguated ID Type / Status
Subject Trino E426164 entity
Predicate instanceOf P0 FINISHED
Object MPP query engine C23354 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07
Target class: MPP query engine
Context triple: [Trino, instanceOf, MPP query engine]
  • A. in-memory analytical engine
    An in-memory analytical engine is a system that stores and processes data directly in main memory to enable extremely fast, interactive analytical queries and complex computations.
  • B. in-memory analytics engine
    An in-memory analytics engine is a software system that stores and processes data primarily in main memory to deliver extremely fast analytical queries and real-time insights.
  • C. SQL query engine chosen
    A SQL query engine is a software component that parses, optimizes, and executes SQL statements against one or more data sources to retrieve, manipulate, or manage structured data.
  • D. Datalog engine
    A Datalog engine is a system that evaluates Datalog programs by efficiently computing logical inferences over a set of facts and rules, typically using fixpoint or bottom-up evaluation strategies.
  • E. columnar storage engine
    A columnar storage engine is a database storage system that organizes and stores data by columns rather than rows to optimize analytical query performance and compression.
  • F. None of above.

Provenance (1 batch)

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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
Created at: April 10, 2026, 5:48 a.m.