Triple
T7961187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitbucket |
E184867
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Trello |
E185474
|
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: Trello | Statement: [Bitbucket, integratesWith, Trello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trello Context triple: [Bitbucket, integratesWith, Trello]
-
A.
Trello
chosen
Trello is a web-based project management and collaboration tool that uses boards, lists, and cards to help teams organize and track work visually.
-
B.
Asana
Asana is a work management and collaboration software platform that helps teams organize, track, and manage their projects and tasks.
-
C.
Smartsheet
Smartsheet is a cloud-based work management and collaboration software company known for its spreadsheet-like interface that helps organizations plan, track, and automate projects.
-
D.
Notion
Notion is a popular productivity and collaboration platform that combines note-taking, databases, task management, and wikis into a single customizable workspace.
-
E.
Microsoft Planner
Microsoft Planner is a task and project management app in the Microsoft 365 suite that helps teams organize, assign, and track work using visual boards and charts.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe084d9348190b4102fbdfedca297 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.