Triple
T8478443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentley Bentayga |
E200452
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object | Bentayga S |
E200452
|
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: Bentayga S | Statement: [Bentley Bentayga, trimLevel, Bentayga S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentayga S Context triple: [Bentley Bentayga, trimLevel, Bentayga S]
-
A.
Roque Bentayga
Roque Bentayga is a prominent volcanic rock formation and archaeological site in the mountainous interior of Gran Canaria in Spain’s Canary Islands.
-
B.
Bentley Bentayga
chosen
The Bentley Bentayga is a ultra-luxury SUV that combines high performance with opulent craftsmanship and advanced technology.
-
C.
Gran Coupé
Gran Coupé is BMW’s four-door coupé body style, combining a sleek coupé silhouette with the practicality of additional doors and enhanced interior space.
-
D.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
E.
Regal TourX
The Regal TourX is a wagon-style variant of the Buick Regal that combines car-like handling with increased cargo space and light off-road capability.
- 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.