Triple
T3294406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW iX |
E69176
|
entity |
| Predicate | targetCompetitor |
P30601
|
FINISHED |
| Object | Audi Q8 e-tron |
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 e-tron | Statement: [BMW iX, targetCompetitor, Audi Q8 e-tron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audi Q8 e-tron Context triple: [BMW iX, targetCompetitor, Audi Q8 e-tron]
-
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 e-tron GT
The Audi e-tron GT is a high-performance, all-electric luxury grand tourer that showcases Audi’s advanced EV technology and sporty design.
-
C.
Audi Q7
The Audi Q7 is a luxury midsize SUV known for its premium interior, advanced technology, and refined all-wheel-drive performance.
-
D.
Audi Q5
The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
-
E.
Mercedes-Benz EQE
The Mercedes-Benz EQE is a fully electric luxury sedan positioned as a mid-size counterpart to the flagship EQS, offering advanced technology, refined comfort, and zero-emission 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07661748190bf57469e101c5283 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86b8e04819091f4a4ae6d6a87ad |
completed | March 12, 2026, 4:23 p.m. |
Created at: March 8, 2026, 3:10 p.m.