Triple
T1636015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unified Modeling Language |
E35361
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | UML activity diagram |
E35361
|
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: UML activity diagram | Statement: [Unified Modeling Language, hasComponent, UML activity diagram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UML activity diagram Context triple: [Unified Modeling Language, hasComponent, UML activity diagram]
-
A.
Unified Modeling Language
chosen
Unified Modeling Language (UML) is a standardized visual modeling language used in software engineering to specify, design, and document software systems through diagrams.
-
B.
DFD
DFD is the commonly used abbreviation for the Division of Fluid Dynamics, a professional organization focused on the study and advancement of fluid mechanics research.
-
C.
DAG
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
-
D.
SmartArt graphics
SmartArt graphics are a collection of pre-designed visual diagrams in Microsoft Office that help users easily illustrate information, processes, and relationships in a polished, professional format.
-
E.
PowerChart
PowerChart is Cerner's flagship electronic health record (EHR) solution used by healthcare providers to document, manage, and access patient clinical information.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a17e8e08190afb78a953ab920ec |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58dbd0608190be207ab2bcdc9eef |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.