Triple
T1903501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi |
E37745
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
e-tron
e-tron is Audi’s line of fully electric and plug-in hybrid vehicles, representing the brand’s push into premium electric mobility.
|
E212605
|
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-tron | Statement: [Audi, brand, e-tron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: e-tron Context triple: [Audi, brand, e-tron]
-
A.
Porsche Taycan
The Porsche Taycan is a high-performance all-electric luxury sports sedan known for its rapid acceleration, advanced technology, and Porsche’s signature driving dynamics.
-
B.
Volkswagen e-Golf
The Volkswagen e-Golf is an all-electric version of Volkswagen’s compact Golf hatchback, offering zero-emission driving with familiar Golf styling and practicality.
-
C.
Volkswagen ID.3
The Volkswagen ID.3 is a compact all-electric hatchback from Volkswagen’s ID family, designed as a mass-market EV successor to the Golf in Europe.
-
D.
Porsche Cayenne
The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
-
E.
Porsche Macan
The Porsche Macan is a compact luxury crossover SUV known for combining sports-car performance with everyday practicality.
- 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-tron Triple: [Audi, brand, e-tron]
Generated description
e-tron is Audi’s line of fully electric and plug-in hybrid vehicles, representing the brand’s push into premium electric mobility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: e-tron Target entity description: e-tron is Audi’s line of fully electric and plug-in hybrid vehicles, representing the brand’s push into premium electric mobility.
-
A.
Porsche Taycan
The Porsche Taycan is a high-performance all-electric luxury sports sedan known for its rapid acceleration, advanced technology, and Porsche’s signature driving dynamics.
-
B.
Volkswagen e-Golf
The Volkswagen e-Golf is an all-electric version of Volkswagen’s compact Golf hatchback, offering zero-emission driving with familiar Golf styling and practicality.
-
C.
Volkswagen ID.3
The Volkswagen ID.3 is a compact all-electric hatchback from Volkswagen’s ID family, designed as a mass-market EV successor to the Golf in Europe.
-
D.
Porsche Cayenne
The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
-
E.
Porsche Macan
The Porsche Macan is a compact luxury crossover SUV known for combining sports-car performance with everyday practicality.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1909aec8190b3259c8f969ce81e |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf768888190885ffa1632537445 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb8b3d2c8190b13c03ce944f436a |
completed | March 8, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec123cc481908e55dfbe4f4da095 |
completed | March 8, 2026, 9:37 p.m. |
Created at: March 4, 2026, 7:35 p.m.