Triple
T8349951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi A4 |
E196133
|
entity |
| Predicate | generation |
P4860
|
FINISHED |
| Object |
B5
B5 is the internal designation for the first-generation Audi A4, produced in the mid-to-late 1990s and known for introducing Audi’s modern compact executive sedan design language.
|
E728805
|
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: B5 | Statement: [Audi A4, generation, B5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B5 Context triple: [Audi A4, generation, B5]
-
A.
B5
B5 is the abbreviated name commonly used for the esports organization Blazer5 Gaming.
-
B.
A5
A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
-
C.
A5
The A5 is a major road in the United Kingdom that historically follows the route of the Roman Watling Street, linking London with the Midlands and North Wales.
-
D.
A5
A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
-
E.
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.
- 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: B5 Triple: [Audi A4, generation, B5]
Generated description
B5 is the internal designation for the first-generation Audi A4, produced in the mid-to-late 1990s and known for introducing Audi’s modern compact executive sedan design language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B5 Target entity description: B5 is the internal designation for the first-generation Audi A4, produced in the mid-to-late 1990s and known for introducing Audi’s modern compact executive sedan design language.
-
A.
B5
B5 is the abbreviated name commonly used for the esports organization Blazer5 Gaming.
-
B.
A5
A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
-
C.
A5
The A5 is a major road in the United Kingdom that historically follows the route of the Roman Watling Street, linking London with the Midlands and North Wales.
-
D.
A5
A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
-
E.
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.
- 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_69cdcc8596888190867bb0f298b6fac1 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd14de9408190a5522fbdbef4d748 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 5:59 p.m.