Triple

T8248539
Position Surface form Disambiguated ID Type / Status
Subject sqlmap E192901 entity
Predicate supports P516 FINISHED
Object IBM DB2 E35363 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: IBM DB2 | Statement: [sqlmap, supports, IBM DB2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM DB2
Context triple: [sqlmap, supports, IBM DB2]
  • A. IBM DB2 chosen
    IBM DB2 is a family of enterprise-grade relational database management systems developed by IBM, widely used for high-performance, scalable data storage and transaction processing across mainframe, distributed, and cloud environments.
  • B. 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.
  • C. Sybase
    Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
  • 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. Db2 Data Server Manager
    Db2 Data Server Manager is IBM’s web-based administration and monitoring tool for managing, tuning, and analyzing Db2 database environments.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.