Triple

T17499370
Position Surface form Disambiguated ID Type / Status
Subject SPICE E426152 entity
Predicate partOf P40 FINISHED
Object Amazon QuickSight NE NERFINISHED

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: Amazon QuickSight | Statement: [SPICE, partOf, Amazon QuickSight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon QuickSight
Context triple: [SPICE, partOf, Amazon QuickSight]
  • A. Amazon QuickSight chosen
    Amazon QuickSight is a cloud-based business intelligence and data visualization service from AWS that enables users to create interactive dashboards and insights from various data sources.
  • B. Quick BI
    Quick BI is Alibaba Cloud’s business intelligence and data analytics platform that enables users to visualize, analyze, and share insights from their data.
  • C. Zoho Analytics
    Zoho Analytics is a cloud-based business intelligence and data analytics platform that enables users to visualize data, create reports and dashboards, and derive insights for decision-making.
  • D. Oracle Analytics Cloud
    Oracle Analytics Cloud is a cloud-based analytics and business intelligence platform from Oracle that enables data preparation, visualization, reporting, and advanced analytics across enterprise data sources.
  • E. Qlik
    Qlik is a business intelligence and data analytics software company known for its data visualization and self-service analytics platforms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.