Triple

T8152034
Position Surface form Disambiguated ID Type / Status
Subject xVelocity in-memory analytics engine E190354 entity
Predicate relatedTo P37 FINISHED
Object VertiPaq E190354 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: VertiPaq | Statement: [xVelocity in-memory analytics engine, relatedTo, VertiPaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VertiPaq
Context triple: [xVelocity in-memory analytics engine, relatedTo, VertiPaq]
  • A. ColumnStore
    ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
  • B. xVelocity in-memory analytics engine chosen
    xVelocity in-memory analytics engine is a columnar, in-memory data processing engine developed by Microsoft to enable fast, compressed, and scalable analytical querying for business intelligence tools.
  • C. SAP HANA
    SAP HANA is an in-memory, column-oriented relational database management system developed by SAP for high-performance transactional and analytical processing.
  • D. Greenplum
    Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
  • E. IBM Netezza Performance Server
    IBM Netezza Performance Server is a high-performance, cloud-ready data warehouse and analytics platform designed for fast, large-scale data processing and advanced analytics workloads.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4483799c81908e73f9a87ed99185 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbef9f28881909961b599d395d6df completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.