Triple

T10330406
Position Surface form Disambiguated ID Type / Status
Subject XLink E242857 entity
Predicate fullName P16 FINISHED
Object XML Linking Language E242857 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: XML Linking Language | Statement: [XLink, fullName, XML Linking Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XML Linking Language
Context triple: [XLink, fullName, XML Linking Language]
  • A. XLink chosen
    XLink is an XML standard that extends basic linking capabilities by enabling rich, multidirectional, and metadata-enhanced hyperlinks between resources.
  • B. W3C JSON for Linking Data Community Group
    The W3C JSON for Linking Data Community Group is a W3C community initiative focused on developing and promoting JSON-LD as a standard way to represent and link structured data on the web.
  • C. RDFa
    RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
  • D. Object Linking and Embedding
    Object Linking and Embedding (OLE) is a Microsoft technology that enables embedding and linking to documents and other objects across different applications within the Windows environment.
  • E. RDF
    RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dbc7df48190b8a11a92f946fd30 completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.