Triple

T5767852
Position Surface form Disambiguated ID Type / Status
Subject JSONiq E127256 entity
Predicate hasSerializationFormat P28587 FINISHED
Object JSON E39004 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: JSON | Statement: [JSONiq, hasSerializationFormat, JSON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON
Context triple: [JSONiq, hasSerializationFormat, JSON]
  • A. JSON chosen
    JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
  • B. JSON5
    JSON5 is an extension of the JSON data format that adds more human-friendly features like comments, trailing commas, and unquoted object keys while remaining largely compatible with standard JSON.
  • C. JSON API
    JSON API is a standardized specification for building JSON-based RESTful APIs that defines how clients should request and modify resources in a consistent, structured format.
  • D. Jakarta JSON Processing
    Jakarta JSON Processing is a Jakarta EE specification that defines a standard API for parsing, generating, transforming, and querying JSON data in Java applications.
  • E. JSONiq
    JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
  • 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: hasSerializationFormat
Context triple: [JSONiq, hasSerializationFormat, JSON]
  • A. hasSerialization chosen
    Indicates that one entity is represented, encoded, or stored as a serialized form in another entity.
  • B. hasFormatElement
    Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
  • C. hasFinalFormat
    Indicates that an entity possesses or is associated with its completed, finalized version or representation.
  • D. serializedIn
    Indicates that something is published or presented in sequential installments within a larger medium or series.
  • E. originalSerialization
    Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02acb12c081908e4beee4a957f9f9 completed March 22, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e5d8c8c819081067de808ac1b56 completed March 22, 2026, 11:42 p.m.
PD Predicate disambiguation batch_69c021ce8d3c81909b332cb1c33a61ad completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:49 p.m.