Triple
T8929335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtual Cockpit |
E212611
|
entity |
| Predicate | availableIn |
P795
|
FINISHED |
| Object | Audi Q3 |
E351299
|
NE FINISHED |
How this triple was built (2 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: Audi Q3 | Statement: [Virtual Cockpit, availableIn, Audi Q3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audi Q3 Context triple: [Virtual Cockpit, availableIn, Audi Q3]
-
A.
Audi Q3
chosen
The Audi Q3 is a compact luxury crossover SUV known for its premium interior, advanced technology features, and refined driving dynamics.
-
B.
Audi Q2
The Audi Q2 is a compact luxury crossover SUV known for its stylish design, premium interior, and urban-friendly size within Audi's Q lineup.
-
C.
Audi Q5
The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
-
D.
Audi A3
The Audi A3 is a compact premium car known for its refined interior, advanced technology, and sporty yet efficient performance within Audi’s lineup.
-
E.
Audi Q7
The Audi Q7 is a luxury midsize SUV known for its premium interior, advanced technology, and refined all-wheel-drive performance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc667470308190a75ba63de803e3a2 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd8495488190a1d93f9e5b7e334d |
completed | April 3, 2026, 5:48 p.m. |
Created at: March 30, 2026, 6:57 p.m.