Triple

T20803636
Position Surface form Disambiguated ID Type / Status
Subject Electronic Data Gathering, Analysis, and Retrieval system E512101 entity
Predicate supportsFormat P203 FINISHED
Object Inline XBRL NE NERFINISHED

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: Inline XBRL | Statement: [Electronic Data Gathering, Analysis, and Retrieval system, supportsFormat, Inline XBRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inline XBRL
Context triple: [Electronic Data Gathering, Analysis, and Retrieval system, supportsFormat, Inline XBRL]
  • A. XBRL chosen
    XBRL (eXtensible Business Reporting Language) is an XML-based global standard for tagging and exchanging business and financial data in a structured, machine-readable format.
  • B. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • C. XHTML
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • D. XLink
    XLink is an XML standard that extends basic linking capabilities by enabling rich, multidirectional, and metadata-enhanced hyperlinks between resources.
  • E. XSL-FO
    XSL-FO is an XML-based markup language used to format and render documents, typically transforming XML data into paginated outputs like PDF.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2b2d5688190aaa58a2594d4787c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:39 p.m.