Triple

T12682894
Position Surface form Disambiguated ID Type / Status
Subject Idera, Inc. E302990 entity
Predicate hasProduct P3585 FINISHED
Object Aqua Data Studio E302989 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: Aqua Data Studio | Statement: [Idera, Inc., hasProduct, Aqua Data Studio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aqua Data Studio
Context triple: [Idera, Inc., hasProduct, Aqua Data Studio]
  • A. Aqua Data Studio chosen
    Aqua Data Studio is a database management and development environment that provides tools for querying, visualizing, and administering a wide range of relational and NoSQL databases.
  • B. DB Navigator
    DB Navigator is Deutsche Bahn’s official mobile app for planning journeys and purchasing tickets for national and international train services.
  • C. DataGrip
    DataGrip is a cross-platform database IDE by JetBrains designed for efficient SQL development, database exploration, and management across multiple database systems.
  • D. Tableau
    Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
  • E. 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.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.