Triple
T10068518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens NX |
E213158
|
entity |
| Predicate | hasModule |
P12988
|
FINISHED |
| Object |
NX Drafting
NX Drafting is the Siemens NX module dedicated to creating, editing, and managing 2D engineering drawings from 3D CAD models.
|
E839057
|
NE FINISHED |
How this triple was built (4 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: NX Drafting | Statement: [Siemens NX, hasModule, NX Drafting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NX Drafting Context triple: [Siemens NX, hasModule, NX Drafting]
-
A.
CAD
CAD is the three-letter ISO 4217 currency code for the Canadian dollar, the official currency of Canada.
-
B.
EGNX
EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
-
C.
Revit
Revit is a Building Information Modeling (BIM) software by Autodesk used for designing, documenting, and coordinating architectural, engineering, and construction projects in 3D.
-
D.
Creo Illustrate
Creo Illustrate is a PTC software application used to create interactive 2D and 3D technical illustrations and animations, often for service, maintenance, and product documentation.
-
E.
DWF
DWF (Design Web Format) is a highly compressed, secure file format developed by Autodesk for efficiently sharing and viewing rich 2D and 3D design data.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NX Drafting Triple: [Siemens NX, hasModule, NX Drafting]
Generated description
NX Drafting is the Siemens NX module dedicated to creating, editing, and managing 2D engineering drawings from 3D CAD models.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NX Drafting Target entity description: NX Drafting is the Siemens NX module dedicated to creating, editing, and managing 2D engineering drawings from 3D CAD models.
-
A.
CAD
CAD is the three-letter ISO 4217 currency code for the Canadian dollar, the official currency of Canada.
-
B.
EGNX
EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
-
C.
Revit
Revit is a Building Information Modeling (BIM) software by Autodesk used for designing, documenting, and coordinating architectural, engineering, and construction projects in 3D.
-
D.
Creo Illustrate
Creo Illustrate is a PTC software application used to create interactive 2D and 3D technical illustrations and animations, often for service, maintenance, and product documentation.
-
E.
DWF
DWF (Design Web Format) is a highly compressed, secure file format developed by Autodesk for efficiently sharing and viewing rich 2D and 3D design data.
- F. None of above. chosen
Provenance (5 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff8d9c08190bc030f1dcc696310 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a96fc888190aec7cd364a0d7fb1 |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b985e308190a6ec3966e02f429c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c5f64c881909aa3d093422fe475 |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:58 p.m.