Triple

T1612774
Position Surface form Disambiguated ID Type / Status
Subject LINQ E34648 entity
Predicate hasComponent P35 FINISHED
Object LINQ to XML E34648 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: LINQ to XML | Statement: [LINQ, hasComponent, LINQ to XML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LINQ to XML
Context triple: [LINQ, hasComponent, LINQ to XML]
  • A. LINQ chosen
    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#.
  • B. XQuery
    XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
  • C. XSLT
    XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
  • D. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • E. XDM (XQuery and XPath Data Model)
    XDM (XQuery and XPath Data Model) is the formal, abstract data model that defines the types and structures of data processed by XQuery and XPath expressions.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098e245c8190b0169b648434aa49 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c751308190a89f6462ee365418 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.