Triple
T10068548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens NX |
E213158
|
entity |
| Predicate | supportsStandard |
P1587
|
FINISHED |
| Object | DXF |
E758491
|
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: DXF | Statement: [Siemens NX, supportsStandard, DXF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DXF Context triple: [Siemens NX, supportsStandard, DXF]
-
A.
DXF
chosen
DXF is a widely used CAD file format developed by Autodesk for exchanging drawing data between different design and drafting applications.
-
B.
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.
-
C.
FDF
FDF is the IATA airport code for Martinique Aimé Césaire International Airport, the main air gateway to the Caribbean island of Martinique.
-
D.
IGES
IGES is a widely used neutral file format standard for exchanging 2D and 3D CAD data between different computer-aided design systems.
-
E.
DIB
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
- 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_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. |
Created at: March 30, 2026, 8:58 p.m.