Triple
T2977994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz EQS |
E80443
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object |
Mercedes-Benz EVA platform
The Mercedes-Benz EVA platform is a dedicated electric vehicle architecture developed by Mercedes-Benz for its large luxury EV models, enabling long range, high performance, and advanced technology integration.
|
E318272
|
NE FINISHED |
How this triple was built (4 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: Mercedes-Benz EVA platform | Statement: [Mercedes-Benz EQS, platform, Mercedes-Benz EVA platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercedes-Benz EVA platform Context triple: [Mercedes-Benz EQS, platform, Mercedes-Benz EVA platform]
-
A.
Mercedes-Benz MFA platform
The Mercedes-Benz MFA platform is a modular front-wheel-drive architecture used by Mercedes-Benz for its compact and entry-level models, enabling shared components and flexible vehicle design.
-
B.
Volkswagen Group MQB platform
The Volkswagen Group MQB platform is a modular, transverse-engine vehicle architecture used across numerous VW Group models to streamline production, reduce costs, and share components.
-
C.
Volkswagen Group A platform
The Volkswagen Group A platform is a shared front-engine, front-wheel-drive automotive architecture used across multiple compact car models produced by the Volkswagen Group.
-
D.
Ford Panther platform
The Ford Panther platform is a full-size, rear-wheel-drive, body-on-frame automobile architecture used by Ford Motor Company for large sedans such as the Ford Crown Victoria, Mercury Grand Marquis, and Lincoln Town Car.
-
E.
BMW CLAR platform
The BMW CLAR platform is BMW’s modular rear- and all-wheel-drive vehicle architecture that underpins many of its modern mid-size to full-size models, enabling flexible use of combustion, hybrid, and electric powertrains.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mercedes-Benz EVA platform Triple: [Mercedes-Benz EQS, platform, Mercedes-Benz EVA platform]
Generated description
The Mercedes-Benz EVA platform is a dedicated electric vehicle architecture developed by Mercedes-Benz for its large luxury EV models, enabling long range, high performance, and advanced technology integration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mercedes-Benz EVA platform Target entity description: The Mercedes-Benz EVA platform is a dedicated electric vehicle architecture developed by Mercedes-Benz for its large luxury EV models, enabling long range, high performance, and advanced technology integration.
-
A.
Mercedes-Benz MFA platform
The Mercedes-Benz MFA platform is a modular front-wheel-drive architecture used by Mercedes-Benz for its compact and entry-level models, enabling shared components and flexible vehicle design.
-
B.
Volkswagen Group MQB platform
The Volkswagen Group MQB platform is a modular, transverse-engine vehicle architecture used across numerous VW Group models to streamline production, reduce costs, and share components.
-
C.
Volkswagen Group A platform
The Volkswagen Group A platform is a shared front-engine, front-wheel-drive automotive architecture used across multiple compact car models produced by the Volkswagen Group.
-
D.
Ford Panther platform
The Ford Panther platform is a full-size, rear-wheel-drive, body-on-frame automobile architecture used by Ford Motor Company for large sedans such as the Ford Crown Victoria, Mercury Grand Marquis, and Lincoln Town Car.
-
E.
BMW CLAR platform
The BMW CLAR platform is BMW’s modular rear- and all-wheel-drive vehicle architecture that underpins many of its modern mid-size to full-size models, enabling flexible use of combustion, hybrid, and electric powertrains.
- F. None of above. chosen
Provenance (5 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_69b12e2c498881909dc0349b56db5c87 |
completed | March 11, 2026, 8:56 a.m. |
| NEDg | Description generation | batch_69b1320a28808190b0f751eb6f198795 |
completed | March 11, 2026, 9:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1cb35a0048190bad4b190eb710ec1 |
completed | March 11, 2026, 8:06 p.m. |
Created at: March 8, 2026, 2:58 p.m.