Triple

T12682729
Position Surface form Disambiguated ID Type / Status
Subject DBArtisan E302987 entity
Predicate supportsDatabaseSystem P13398 FINISHED
Object Sybase ASE E996118 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 ASE | Statement: [DBArtisan, supportsDatabaseSystem, Sybase ASE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sybase ASE
Context triple: [DBArtisan, supportsDatabaseSystem, Sybase ASE]
  • A. Sybase
    Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
  • B. Adaptive Server Enterprise chosen
    Adaptive Server Enterprise is Sybase's flagship relational database management system designed for high-performance, enterprise-level transaction processing and data management.
  • C. 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.
  • D. SAP MaxDB
    SAP MaxDB is a relational database management system developed by SAP, commonly used for enterprise applications and SAP solutions.
  • E. SQL Anywhere
    SQL Anywhere is a relational database management system designed for embedded, mobile, and small to mid-sized server environments, originally developed by Sybase.
  • 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_69f68eafd4f8819083f20d142e9115ae completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:21 p.m.