Triple
T2977910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz SL |
E80441
|
entity |
| Predicate | generation |
P4860
|
FINISHED |
| Object |
R232
R232 is the internal designation for the latest generation of the Mercedes-Benz SL, a luxury roadster combining high performance with advanced technology and premium comfort.
|
E316548
|
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: R232 | Statement: [Mercedes-Benz SL, generation, R232]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R232 Context triple: [Mercedes-Benz SL, generation, R232]
-
A.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
B.
N-230
N-230 is a major Spanish national road that connects the Val d’Aran in the Pyrenees with other regions, serving as an important transport route in northeastern Spain.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
E.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
- 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: R232 Triple: [Mercedes-Benz SL, generation, R232]
Generated description
R232 is the internal designation for the latest generation of the Mercedes-Benz SL, a luxury roadster combining high performance with advanced technology and premium comfort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R232 Target entity description: R232 is the internal designation for the latest generation of the Mercedes-Benz SL, a luxury roadster combining high performance with advanced technology and premium comfort.
-
A.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
B.
N-230
N-230 is a major Spanish national road that connects the Val d’Aran in the Pyrenees with other regions, serving as an important transport route in northeastern Spain.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
E.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
- 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_69b108ecef788190ad40dba81f1036c6 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b1095e85e48190abda38be8ad45599 |
completed | March 11, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10d2d99ac8190909dd37ccffa4820 |
completed | March 11, 2026, 6:35 a.m. |
Created at: March 8, 2026, 2:58 p.m.