Triple
T8478415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentley Bentayga |
E200452
|
entity |
| Predicate | relatedModel |
P37
|
FINISHED |
| Object | Porsche Cayenne |
E205143
|
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: Porsche Cayenne | Statement: [Bentley Bentayga, relatedModel, Porsche Cayenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porsche Cayenne Context triple: [Bentley Bentayga, relatedModel, Porsche Cayenne]
-
A.
Porsche Cayenne
chosen
The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
-
B.
Porsche Macan
The Porsche Macan is a compact luxury crossover SUV known for combining sports-car performance with everyday practicality.
-
C.
Porsche Panamera
The Porsche Panamera is a luxury four-door grand tourer that combines sports-car performance with the comfort and practicality of a premium sedan.
-
D.
Volkswagen Touareg
The Volkswagen Touareg is a mid-size luxury crossover SUV produced by the German automaker Volkswagen, known for its refined ride, upscale features, and available advanced all-wheel-drive systems.
-
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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5216d6481908e25a49bcc2e00cc |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a196ad48190b3887a2a0c43f87f |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:12 p.m.