Triple
T8929065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q series |
E212606
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Audi Q8 |
E220760
|
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 Q8 | Statement: [Q series, hasModel, Audi Q8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audi Q8 Context triple: [Q series, hasModel, Audi Q8]
-
A.
Audi Q8
chosen
The Audi Q8 is a luxury midsize crossover SUV that serves as Audi’s flagship coupe-styled SUV, combining premium features, advanced technology, and sporty performance.
-
B.
Audi Q7
The Audi Q7 is a luxury midsize SUV known for its premium interior, advanced technology, and refined all-wheel-drive performance.
-
C.
Audi Q5
The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
-
D.
Audi Q4 e-tron
The Audi Q4 e-tron is a compact luxury all-electric SUV that serves as Audi’s entry-level model in its EV lineup, offering premium features and practical range.
-
E.
Audi A8
The Audi A8 is a full-size luxury flagship sedan known for its advanced technology, refined comfort, and high-performance engineering.
- 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_69cfc93587b081908e23c2a8c01b9516 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:57 p.m.