Triple

T2977907
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz SL E80441 entity
Predicate generation P4860 FINISHED
Object R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
 E316546 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: R129 | Statement: [Mercedes-Benz SL, generation, R129]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R129
Context triple: [Mercedes-Benz SL, generation, R129]
  • A. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • B. R-17
    R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
  • C. R103
    R103 is a regional road in South Africa that serves as an alternative route to the N3, connecting towns such as Ladysmith along the KwaZulu-Natal corridor.
  • D. R11
    R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
  • E. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • 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: R129
Triple: [Mercedes-Benz SL, generation, R129]
Generated description
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R129
Target entity description: R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
  • A. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • B. R-17
    R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
  • C. R103
    R103 is a regional road in South Africa that serves as an alternative route to the N3, connecting towns such as Ladysmith along the KwaZulu-Natal corridor.
  • D. R11
    R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
  • E. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999b0d50819093dac7678b887a9b completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1095e85e48190abda38be8ad45599 completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b10d2d99ac8190909dd37ccffa4820 completed March 11, 2026, 6:35 a.m.
Created at: March 8, 2026, 2:58 p.m.