Triple
T2977744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz G-Class |
E80437
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Land Rover Range Rover |
E221911
|
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: Land Rover Range Rover | Statement: [Mercedes-Benz G-Class, competitor, Land Rover Range Rover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Land Rover Range Rover Context triple: [Mercedes-Benz G-Class, competitor, Land Rover Range Rover]
-
A.
Range Rover
chosen
Range Rover is a luxury SUV line from Land Rover known for its off-road capability, upscale interiors, and status-symbol appeal.
-
B.
Bentley Bentayga
The Bentley Bentayga is a ultra-luxury SUV that combines high performance with opulent craftsmanship and advanced technology.
-
C.
Lexus LX
The Lexus LX is a full-size luxury SUV known for its off-road capability, premium features, and close relation to the Toyota Land Cruiser.
-
D.
Bentley Arnage
The Bentley Arnage is a full-size ultra-luxury sedan produced from the late 1990s to 2009, known for its opulent craftsmanship, powerful engines, and traditional British styling.
-
E.
Porsche Cayenne
The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999b0d50819093dac7678b887a9b |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ecef788190ad40dba81f1036c6 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.