Triple

T17519478
Position Surface form Disambiguated ID Type / Status
Subject JSON Schema E426648 entity
Predicate uses P98 FINISHED
Object JSON Pointer
JSON Pointer is a standardized syntax for identifying and referencing specific values within a JSON document using string-based paths.
 E1274300 NE FINISHED

How this triple was built (4 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 Pointer | Statement: [JSON Schema, uses, JSON Pointer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JSON Pointer
Context triple: [JSON Schema, uses, JSON Pointer]
  • A. JSONPath
    JSONPath is a query language designed for selecting and extracting data from JSON structures using path-like expressions.
  • 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. XPointer
    XPointer is a W3C specification that extends XPath to allow precise addressing and linking to specific parts or fragments within XML documents.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: JSON Pointer
Triple: [JSON Schema, uses, JSON Pointer]
Generated description
JSON Pointer is a standardized syntax for identifying and referencing specific values within a JSON document using string-based paths.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JSON Pointer
Target entity description: JSON Pointer is a standardized syntax for identifying and referencing specific values within a JSON document using string-based paths.
  • A. JSONPath
    JSONPath is a query language designed for selecting and extracting data from JSON structures using path-like expressions.
  • 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. XPointer
    XPointer is a W3C specification that extends XPath to allow precise addressing and linking to specific parts or fragments within XML documents.
  • D. 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.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a01c94237d08190bb1f874735c87803 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.