Triple

T10019837
Position Surface form Disambiguated ID Type / Status
Subject Jakarta JSON Binding E200584 entity
Predicate hasConcept P531 FINISHED
Object Jsonb E200584 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: Jsonb | Statement: [Jakarta JSON Binding, hasConcept, Jsonb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jsonb
Context triple: [Jakarta JSON Binding, hasConcept, Jsonb]
  • 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. Jakarta JSON Binding chosen
    Jakarta JSON Binding is a Jakarta EE specification that defines a standard API for converting Java objects to and from JSON.
  • C. BSON
    BSON is a binary-encoded serialization format commonly used by MongoDB to store and transfer structured data efficiently while supporting additional data types beyond those in JSON.
  • D. 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.
  • E. 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.
  • 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_69cdcd777b208190ad75eac79eec0c2f completed April 2, 2026, 1:59 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.