Triple

T10209272
Position Surface form Disambiguated ID Type / Status
Subject SINUMERIK E242283 entity
Predicate hasVersion P455 FINISHED
Object SINUMERIK 828D 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 828D | Statement: [SINUMERIK, hasVersion, SINUMERIK 828D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SINUMERIK 828D
Context triple: [SINUMERIK, hasVersion, SINUMERIK 828D]
  • A. SINUMERIK chosen
    SINUMERIK is Siemens’ CNC automation system line used to control machine tools in manufacturing and industrial production.
  • B. 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.
  • C. Siemens Nexas
    Siemens Nexas is a class of electric multiple unit trains used for suburban passenger services on Melbourne’s metropolitan rail network.
  • D. 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.
  • E. 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.
  • 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_69d6a7e63c588190b239f8bdb13a3f3c completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 10:59 a.m.