Triple

T300616
Position Surface form Disambiguated ID Type / Status
Subject RESTCONF E6188 entity
Predicate dataEncoding P1444 FINISHED
Object 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.
 E39004 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 | Statement: [RESTCONF, dataEncoding, JSON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JSON
Context triple: [RESTCONF, dataEncoding, JSON]
  • A. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • B. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • C. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • D. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • E. CSV
    CSV (Comma-Separated Values) is a simple, text-based file format commonly used to store and exchange tabular data between different software applications and systems.
  • 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
Triple: [RESTCONF, dataEncoding, JSON]
Generated description
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JSON
Target entity description: JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
  • A. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • B. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • C. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • D. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • E. CSV
    CSV (Comma-Separated Values) is a simple, text-based file format commonly used to store and exchange tabular data between different software applications and systems.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee002dd0819080f0841eb9107ee3 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3aba14b0881908eb4f62ac9261d63 completed March 1, 2026, 2:59 a.m.
NEDg Description generation batch_69a3af5161448190b2051c9533379b3e completed March 1, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69a3afb5fca48190a2bfece390311dca completed March 1, 2026, 3:17 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.