Triple

T3706988
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz E-Class E80916 entity
Predicate offersVariant P455 FINISHED
Object E 220 d
The E 220 d is a diesel-powered variant of the Mercedes-Benz E-Class executive sedan, known for its balance of efficiency, comfort, and refined performance.
 E382846 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: E 220 d | Statement: [Mercedes-Benz E-Class, offersVariant, E 220 d]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E 220 d
Context triple: [Mercedes-Benz E-Class, offersVariant, E 220 d]
  • A. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • B. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • C. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • D. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • E. H225
    The H225 is a long-range, twin-engine heavy-lift helicopter widely used for offshore transport, search and rescue, and military missions.
  • 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: E 220 d
Triple: [Mercedes-Benz E-Class, offersVariant, E 220 d]
Generated description
The E 220 d is a diesel-powered variant of the Mercedes-Benz E-Class executive sedan, known for its balance of efficiency, comfort, and refined performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E 220 d
Target entity description: The E 220 d is a diesel-powered variant of the Mercedes-Benz E-Class executive sedan, known for its balance of efficiency, comfort, and refined performance.
  • A. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • B. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • C. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • D. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • E. H225
    The H225 is a long-range, twin-engine heavy-lift helicopter widely used for offshore transport, search and rescue, and military missions.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc57edd748190a006e15fa0248679 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdfe77a481908880d0a4a5946656 completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4cfcf3bd08190a372be19017adcd0 completed March 14, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69b4d0bb861c8190a8540198a47c13c1 completed March 14, 2026, 3:06 a.m.
Created at: March 8, 2026, 3:33 p.m.