Triple
T19589107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Touareg |
E470182
|
entity |
| Predicate | platformSharedWith |
P8246
|
FINISHED |
| Object | Audi Q7 |
—
|
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 Q7 | Statement: [Volkswagen Touareg, platformSharedWith, Audi Q7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audi Q7 Context triple: [Volkswagen Touareg, platformSharedWith, Audi Q7]
-
A.
Audi Q7
chosen
The Audi Q7 is a luxury midsize SUV known for its premium interior, advanced technology, and refined all-wheel-drive performance.
-
B.
Audi Q5
The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
-
C.
Audi Q8
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.
-
D.
Audi SQ7
The Audi SQ7 is a high-performance, sport-tuned version of Audi’s Q7 luxury SUV, featuring powerful engines, advanced technology, and enhanced handling.
-
E.
Audi SQ5
The Audi SQ5 is a high-performance, sport-tuned version of Audi’s Q5 compact luxury SUV, featuring more powerful engines, sharper handling, and distinctive styling upgrades.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.