Triple

T10019758
Position Surface form Disambiguated ID Type / Status
Subject Jakarta JSON Processing E200583 entity
Predicate shortName P43 FINISHED
Object JSON-P E200583 NE FINISHED

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-P | Statement: [Jakarta JSON Processing, shortName, JSON-P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON-P
Context triple: [Jakarta JSON Processing, shortName, JSON-P]
  • A. 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.
  • 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 chosen
    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. HJSON
    HJSON is a human-friendly extension of JSON that relaxes its strict syntax to allow comments, unquoted keys, and other conveniences for easier configuration editing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4f3a988190892cc698109be8b8 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aaa38188190aed8c18eccd8a79d completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.