Triple
T10019769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakarta JSON Processing |
E200583
|
entity |
| Predicate | provides |
P490
|
FINISHED |
| Object |
JsonArray
JsonArray is a Jakarta JSON Processing API type representing an ordered, index-based collection of JSON values analogous to a list or array.
|
E200583
|
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: JsonArray | Statement: [Jakarta JSON Processing, provides, JsonArray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JsonArray Context triple: [Jakarta JSON Processing, provides, JsonArray]
-
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 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.
-
C.
Jakarta JSON Binding
Jakarta JSON Binding is a Jakarta EE specification that defines a standard API for converting Java objects to and from JSON.
-
D.
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.
-
E.
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.
- 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: JsonArray Triple: [Jakarta JSON Processing, provides, JsonArray]
Generated description
JsonArray is a Jakarta JSON Processing API type representing an ordered, index-based collection of JSON values analogous to a list or array.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JsonArray Target entity description: JsonArray is a Jakarta JSON Processing API type representing an ordered, index-based collection of JSON values analogous to a list or array.
-
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 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.
-
C.
Jakarta JSON Binding
Jakarta JSON Binding is a Jakarta EE specification that defines a standard API for converting Java objects to and from JSON.
-
D.
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.
-
E.
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.
- F. None of above.
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_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. |
| NEDg | Description generation | batch_69d26b84271881909c3a1b8a05e2c8a2 |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26f50dc008190866f0ba45b671560 |
completed | April 5, 2026, 2:18 p.m. |
Created at: March 30, 2026, 8:53 p.m.