Triple
T23155242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanban (software development) |
E578419
|
entity |
| Predicate | boardElement |
P52035
|
FINISHED |
| Object | swimlane |
—
|
LITERAL 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: swimlane | Statement: [Kanban (software development), boardElement, swimlane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardElement Context triple: [Kanban (software development), boardElement, swimlane]
-
A.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
B.
gameElement
chosen
Indicates that one entity functions as a component, feature, or part within the structure or mechanics of a game.
-
C.
boardProperties
Indicates a relationship where specific attributes or characteristics are assigned to or associated with a board.
-
D.
boardName
Indicates the name or title assigned to a specific board within a system or context.
-
E.
usesBoardShape
Indicates that one entity employs or is designed to work with a particular board shape as part of its function or configuration.
- F. None of above.
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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efca1f081908ff1c34ba25f40c3 |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.