Triple
T19946877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Geneva Motor Show |
E479443
|
entity |
| Predicate | notableDebut |
P60224
|
FINISHED |
| Object | Audi Q2 |
—
|
NE NERFINISHED |
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 Q2 | Statement: [2016 Geneva Motor Show, notableDebut, Audi Q2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audi Q2 Context triple: [2016 Geneva Motor Show, notableDebut, Audi Q2]
-
A.
Audi Q2
chosen
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.
-
B.
Audi Q3
The Audi Q3 is a compact luxury crossover SUV known for its premium interior, advanced technology features, and refined driving dynamics.
-
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 SQ3
The Audi SQ3 is a high-performance compact luxury SUV variant of the Q3, featuring sport-tuned dynamics, more powerful engines, and distinctive S-line styling.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a68a32c8190ac9601db98594465 |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.