Triple

T7939884
Position Surface form Disambiguated ID Type / Status
Subject Argo CD E184362 entity
Predicate supports P516 FINISHED
Object Jsonnet
Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
 E699335 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: Jsonnet | Statement: [Argo CD, supports, Jsonnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jsonnet
Context triple: [Argo CD, supports, Jsonnet]
  • A. 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.
  • 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. JSNN
    JSNN is a graduate-level academic and research institution focused on nanoscience and nanoengineering, jointly operated by North Carolina A&T State University and the University of North Carolina at Greensboro.
  • D. 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.
  • 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: Jsonnet
Triple: [Argo CD, supports, Jsonnet]
Generated description
Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jsonnet
Target entity description: Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
  • A. 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.
  • 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. JSNN
    JSNN is a graduate-level academic and research institution focused on nanoscience and nanoengineering, jointly operated by North Carolina A&T State University and the University of North Carolina at Greensboro.
  • D. 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.
  • 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

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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0983388190a77e8d5d899c5130 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0e868481908748d340244ea8ea completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7635a0e48190ae8c3f6993df3ad2 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb663d3a48190bc62f7a04bc6a1bb completed March 31, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:08 p.m.