Triple
T7937052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPMN |
E184310
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | DMN |
E699647
|
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: DMN | Statement: [BPMN, relatedStandard, DMN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DMN Context triple: [BPMN, relatedStandard, DMN]
-
A.
DMN
chosen
DMN (Decision Model and Notation) is a standardized modeling language created by the Object Management Group for specifying and visualizing business decision logic in a clear, executable form.
-
B.
CMMN
CMMN (Case Management Model and Notation) is an OMG standard for modeling and executing case management processes that are driven by events and evolving circumstances rather than predefined workflows.
-
C.
DMS
DMS is the acronym for the Florida Department of Management Services, the state agency responsible for overseeing business, workforce, and support services for Florida’s government.
-
D.
DHM
DHM is the commonly used abbreviation for the German Historical Museum in Berlin, a major institution dedicated to documenting and presenting German history.
-
E.
DPM
DPM is the abbreviation for the División de Policía Militar, a military police division responsible for law enforcement and security duties within a nation's armed forces.
- 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_69cb3aef2394819086eea1f6ab117aed |
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.