Triple

T576005
Position Surface form Disambiguated ID Type / Status
Subject HTML5 E13761 entity
Predicate xmlSerialization P5714 FINISHED
Object XHTML5 E24914 NE FINISHED

How this triple was built (3 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: XHTML5 | Statement: [HTML5, xmlSerialization, XHTML5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XHTML5
Context triple: [HTML5, xmlSerialization, XHTML5]
  • A. XHTML chosen
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • B. HTML5
    HTML5 is the fifth major version of the HyperText Markup Language standard, introducing modern web features such as semantic elements, native audio and video, and enhanced APIs for building rich, interactive web applications.
  • C. HTML Living Standard
    The HTML Living Standard is the continuously updated, authoritative specification for the HTML language maintained by the WHATWG to define how web content is structured and behaves across browsers.
  • D. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • E. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: xmlSerialization
Context triple: [HTML5, xmlSerialization, XHTML5]
  • A. machineReadable
    Indicates that something is in a format that can be automatically processed or interpreted by a computer without human intervention.
  • B. encodingBasisFor chosen
    Indicates that one encoding scheme serves as the foundational or reference basis for defining or interpreting another encoding.
  • C. visualForm
    Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
  • D. encodes
    Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
  • E. standardizedFor
    Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
  • F. None of above.

Provenance (4 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
PD Predicate disambiguation batch_69a494c692288190b88f30299516b5ba completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.