Triple
T27583331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SysML |
E699634
|
entity |
| Predicate | hasDiagramType |
P79893
|
FINISHED |
| Object | requirements diagram |
—
|
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: requirements diagram | Statement: [SysML, hasDiagramType, requirements diagram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiagramType Context triple: [SysML, hasDiagramType, requirements diagram]
-
A.
diagramType
chosen
Indicates the specific kind or category of diagram associated with an entity or context.
-
B.
hasDrawType
Indicates that an entity is associated with a specific manner, style, or category of drawing or graphical rendering.
-
C.
includesFigureType
Indicates that one entity contains or encompasses a specific type or category of figure within it.
-
D.
hasDynkinDiagram
Indicates that an algebraic or Lie-theoretic structure is associated with a specific Dynkin diagram that encodes its root system or classification.
-
E.
typeOfChart
Indicates the specific kind or category of chart used to represent data in a visualization.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 2:03 p.m.