Triple

T8594921
Position Surface form Disambiguated ID Type / Status
Subject Radevormwald E203519 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GM
GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
 E745945 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: GM | Statement: [Radevormwald, vehicleRegistrationCode, GM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GM
Context triple: [Radevormwald, vehicleRegistrationCode, GM]
  • A. GM
    GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • B. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • C. GE
    GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
  • D. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • E. GMC
    GMC is the commonly used abbreviation for the Great Midwest Conference, a former NCAA collegiate athletic conference in the United States.
  • 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: GM
Triple: [Radevormwald, vehicleRegistrationCode, GM]
Generated description
GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GM
Target entity description: GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
  • A. GM
    GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • B. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • C. GE
    GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
  • D. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • E. GMC
    GMC is the commonly used abbreviation for the Great Midwest Conference, a former NCAA collegiate athletic conference in the United States.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c76fd48190ae67b660c5b8e29f completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8c9fcc48190ba20c85e226ef5f3 completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69ceacba7e1881909fff41f09a188921 completed April 2, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_69cead71d930819083d1acaf8459590c completed April 2, 2026, 5:54 p.m.
Created at: March 30, 2026, 6:23 p.m.