Triple

T13568493
Position Surface form Disambiguated ID Type / Status
Subject Mini Roadster E324098 entity
Predicate modelCode P8607 FINISHED
Object R59
R59 is BMW’s internal model code for the Mini Roadster, a two-seat convertible variant of the modern Mini lineup.
E1048990 NE FINISHED

How this triple was built (5 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: R59 | Statement: [Mini Roadster, modelCode, R59]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R59
Context triple: [Mini Roadster, modelCode, R59]
  • A. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • B. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • C. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • D. R5
    R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
  • E. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • 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: R59
Triple: [Mini Roadster, modelCode, R59]
Generated description
R59 is BMW’s internal model code for the Mini Roadster, a two-seat convertible variant of the modern Mini lineup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: R59
Target entity description: R59 is BMW’s internal model code for the Mini Roadster, a two-seat convertible variant of the modern Mini lineup.
  • A. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • B. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • C. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • D. R5
    R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
  • E. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modelCode
Context triple: [Mini Roadster, modelCode, R59]
  • A. modelNumber chosen
    Indicates that one entity is the specific model identifier or code assigned to another entity (such as a product or device).
  • B. manufacturerCode
    Indicates the unique code assigned by a manufacturer to identify a specific product, component, or item it produces.
  • C. catalogCode
    Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
  • D. productionCode
    Indicates the unique identifier or code assigned to a specific production (such as a film, TV episode, or manufactured item) that links related records or versions of that production.
  • E. designCode
    Indicates that one entity creates, specifies, or defines the design or coding scheme used by another entity.
  • F. None of above.

Provenance (6 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00e0188819094fde44f85adb69c completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb3d77c8190a7af2ee7e9b6748a completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77640b5308190aaa50e8d5d871832 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7792110e48190a29b6e89c6ebcc03 completed May 3, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:48 p.m.