Triple

T277203
Position Surface form Disambiguated ID Type / Status
Subject SQL E5275 entity
Predicate fullName P16 FINISHED
Object Structured Query Language E5275 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: Structured Query Language | Statement: [SQL, fullName, Structured Query Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Structured Query Language
Context triple: [SQL, fullName, Structured Query Language]
  • A. SQL chosen
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • B. SQL Server
    SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
  • C. Database System Concepts
    Database System Concepts is a widely used foundational textbook in computer science that introduces the principles, design, and implementation of modern database systems.
  • D. LINQ
    LINQ (Language Integrated Query) is a .NET feature that provides a unified, SQL-like syntax for querying and manipulating data from various sources directly within programming languages such as C#.
  • E. SPARQL
    SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25ded68c88190b1fc595ce329aeb9 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a391525a7081909166884a8ea47ace completed March 1, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.