Triple

T7934513
Position Surface form Disambiguated ID Type / Status
Subject Jira E184255 entity
Predicate owner P347 FINISHED
Object Atlassian E700384 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: Atlassian | Statement: [Jira, owner, Atlassian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlassian
Context triple: [Jira, owner, Atlassian]
  • A. Atlassian chosen
    Atlassian is an Australian software company best known for its collaboration and productivity tools for software development and project management, including Jira, Confluence, and Bitbucket.
  • B. Atlassian US operations
    Atlassian US operations is the American arm of Atlassian, providing collaboration and productivity software solutions such as Jira and Confluence to businesses across the United States.
  • C. Jira
    Jira is a widely used project and issue tracking platform, especially popular among software development teams for managing tasks, bugs, and agile workflows.
  • D. Atlassian Marketplace
    Atlassian Marketplace is an online app store where users can discover and install third-party and Atlassian-built extensions to enhance products like Jira and Confluence.
  • E. Thoughtworks
    Thoughtworks is a global technology consultancy known for pioneering agile software development practices and employing prominent software experts such as Martin Fowler.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aeb132c8190bea4906aaf51b869 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe019a094819082baecdcb007c84f completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:08 p.m.