Triple

T4278577
Position Surface form Disambiguated ID Type / Status
Subject PL/SQL E97097 entity
Predicate introducedBy P513 FINISHED
Object Oracle7 E17667 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: Oracle7 | Statement: [PL/SQL, introducedBy, Oracle7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oracle7
Context triple: [PL/SQL, introducedBy, Oracle7]
  • A. Oracle Database chosen
    Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
  • B. Oracle WebLogic Server
    Oracle WebLogic Server is a Java EE application server platform used to develop, deploy, and run enterprise-level web applications and services.
  • C. Oracle Web Tier
    Oracle Web Tier is a component of Oracle’s middleware stack that provides web server, proxy, and load-balancing capabilities for delivering Java EE and web applications.
  • D. Oracle Corporation
    Oracle Corporation is a major American multinational technology company best known for its database software, cloud services, and enterprise software products.
  • E. Sybase
    Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350201ac88190b9d8980da5f0d03d completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b708b481908c1683741f84ee55 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.