Triple
T10209271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SINUMERIK |
E242283
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | SINUMERIK 808D |
E242283
|
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: SINUMERIK 808D | Statement: [SINUMERIK, hasVersion, SINUMERIK 808D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SINUMERIK 808D Context triple: [SINUMERIK, hasVersion, SINUMERIK 808D]
-
A.
SINUMERIK
chosen
SINUMERIK is Siemens’ CNC automation system line used to control machine tools in manufacturing and industrial production.
-
B.
IEC-CNC
IEC-CNC is the Chinese National Committee responsible for representing China in the International Electrotechnical Commission and coordinating national participation in international electrotechnical standardization.
-
C.
Siemens SD100
The Siemens SD100 is a light rail vehicle model built by Siemens for use on urban trolley and light rail systems such as the San Diego Trolley.
-
D.
Siemens Nexas
Siemens Nexas is a class of electric multiple unit trains used for suburban passenger services on Melbourne’s metropolitan rail network.
-
E.
Siemens S200
The Siemens S200 is a modern low-floor light rail vehicle used in North American transit systems, including Calgary’s CTrain, known for its improved accessibility, energy efficiency, and passenger comfort.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fa86cc8190b4f115b5a0f99772 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652cca9c081909f705365c70db009 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 10:59 a.m.