Triple

T7420624
Position Surface form Disambiguated ID Type / Status
Subject RDFa E171236 entity
Predicate relatedStandard P37 FINISHED
Object JSON-LD E171299 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: JSON-LD | Statement: [RDFa, relatedStandard, JSON-LD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON-LD
Context triple: [RDFa, relatedStandard, JSON-LD]
  • A. JSON-LD chosen
    JSON-LD is a JSON-based format for encoding Linked Data, enabling structured data to be easily shared and understood across the web.
  • B. RDFa
    RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
  • C. Linked Data
    Linked Data is a method of publishing and interlinking structured data on the web using standard formats and URIs so that information can be easily connected and queried across different sources.
  • D. 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.
  • E. JSON
    JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ea61248190886e8e55b42ba5f1 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ef7fc808190a564ab4d9d97ab37 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.