Triple

T8756452
Position Surface form Disambiguated ID Type / Status
Subject GraphQL E208081 entity
Predicate canBeSerializedAs P74584 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: [GraphQL, canBeSerializedAs, JSON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON
Context triple: [GraphQL, canBeSerializedAs, 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: canBeSerializedAs
Context triple: [GraphQL, canBeSerializedAs, JSON]
  • A. canBeTypeOf
    Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
  • B. canBeViewedAs
    Indicates that one entity may be interpreted, treated, or understood as another entity or type under some perspective or conditions.
  • C. canBeSavedAs chosen
    Indicates that one entity is capable of being stored or preserved in the form or format of another entity.
  • D. canBeConstructedWith
    Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
  • E. canBeEmbeddedIn
    Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd95e9481909cc88e8d91601754 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb7875448190a2478cbb623c31e6 completed April 3, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69cc5c160dac8190b4aeb4bf0529de52 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:40 p.m.