Triple

T12682849
Position Surface form Disambiguated ID Type / Status
Subject Aqua Data Studio E302989 entity
Predicate supportsDatabase P11254 FINISHED
Object Sybase IQ E295385 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: Sybase IQ | Statement: [Aqua Data Studio, supportsDatabase, Sybase IQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sybase IQ
Context triple: [Aqua Data Studio, supportsDatabase, Sybase IQ]
  • A. Sybase chosen
    Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
  • B. Informix
    Informix is a relational database management system originally developed by Informix Corporation and now owned by IBM, known for its high performance and reliability in OLTP and embedded database applications.
  • C. SAP MaxDB
    SAP MaxDB is a relational database management system developed by SAP, commonly used for enterprise applications and SAP solutions.
  • D. Teradata
    Teradata is an enterprise-grade relational database management system and data warehousing platform designed for large-scale analytics and business intelligence workloads.
  • E. Adaptive Server Enterprise
    Adaptive Server Enterprise is Sybase's flagship relational database management system designed for high-performance, enterprise-level transaction processing and data management.
  • 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_69f67c7722788190867cc8a27f678b4f completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:21 p.m.