Triple

T7423384
Position Surface form Disambiguated ID Type / Status
Subject SHACL E171301 entity
Predicate serializationFormat P1444 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: [SHACL, serializationFormat, JSON-LD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON-LD
Context triple: [SHACL, serializationFormat, 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. Microdata
    Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
  • C. 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.
  • D. W3C JSON-LD Working Group
    The W3C JSON-LD Working Group is a World Wide Web Consortium group responsible for developing and maintaining the JSON-LD standard for linking data using JSON on the web.
  • E. RDFa
    RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
  • 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_69c6f2eece588190905774e7151edcb8 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8277f749c8190a91f620c71c48433 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:12 p.m.