Triple

T17519510
Position Surface form Disambiguated ID Type / Status
Subject JSON Schema E426648 entity
Predicate hasComponent P35 FINISHED
Object JSON Schema Core NE NERFINISHED

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 Schema Core | Statement: [JSON Schema, hasComponent, JSON Schema Core]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON Schema Core
Context triple: [JSON Schema, hasComponent, JSON Schema Core]
  • A. JSON Schema (from 3.1.0) chosen
    JSON Schema (from 3.1.0) is a standardized vocabulary and specification for describing, validating, and documenting the structure and constraints of JSON data.
  • B. 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.
  • C. 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.
  • D. JSON Working Group
    The JSON Working Group is an IETF standards body responsible for developing and maintaining the formal specifications for the JSON data interchange format.
  • E. Schematron
    Schematron is a rule-based XML schema language that uses XPath expressions to define and validate complex structural and business constraints in XML documents.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d18c1c81908bb843bbddb44ca1 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.