Triple

T8349955
Position Surface form Disambiguated ID Type / Status
Subject Audi A4 E196133 entity
Predicate generation P4860 FINISHED
Object B9
B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
 E727421 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: B9 | Statement: [Audi A4, generation, B9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B9
Context triple: [Audi A4, generation, B9]
  • A. B99
    B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
  • B. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • C. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • D. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • E. B7
    B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
  • 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: B9
Triple: [Audi A4, generation, B9]
Generated description
B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B9
Target entity description: B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
  • A. B99
    B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
  • B. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • C. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • D. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • E. B7
    B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80181ca48190bbf2e6a6aae80d69 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc74e11f881908b52d0ffea751c96 completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc86626c8190a4206feedea24b41 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcde02e088190be8220f7d18d6700 completed April 2, 2026, 2:01 a.m.
Created at: March 30, 2026, 5:59 p.m.