Triple
T16332126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda CX-30 |
E396579
|
entity |
| Predicate | designLanguage |
P4831
|
FINISHED |
| Object |
Kodo design
Kodo design is Mazda’s signature design philosophy that emphasizes dynamic, flowing lines to evoke a sense of motion and emotional appeal in its vehicles.
|
E1207884
|
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: Kodo design | Statement: [Mazda CX-30, designLanguage, Kodo design]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodo design Context triple: [Mazda CX-30, designLanguage, Kodo design]
-
A.
Kodo
Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
-
B.
Kōdō
Kōdō is the Lecture Hall of the historic Tōshōdai-ji Buddhist temple in Nara, Japan, used for religious teachings and ceremonial gatherings.
-
C.
Koyo
Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
-
D.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
E.
Kenseitō
Kenseitō was a late 19th-century Japanese political party that emerged during the Meiji era as part of the country’s early parliamentary and constitutional development.
- 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: Kodo design Triple: [Mazda CX-30, designLanguage, Kodo design]
Generated description
Kodo design is Mazda’s signature design philosophy that emphasizes dynamic, flowing lines to evoke a sense of motion and emotional appeal in its vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kodo design Target entity description: Kodo design is Mazda’s signature design philosophy that emphasizes dynamic, flowing lines to evoke a sense of motion and emotional appeal in its vehicles.
-
A.
Kodo
Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
-
B.
Kōdō
Kōdō is the Lecture Hall of the historic Tōshōdai-ji Buddhist temple in Nara, Japan, used for religious teachings and ceremonial gatherings.
-
C.
Koyo
Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
-
D.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
E.
Kenseitō
Kenseitō was a late 19th-century Japanese political party that emerged during the Meiji era as part of the country’s early parliamentary and constitutional development.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e0b1388190824b286e8452fb32 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002613c0e88190b91da8eba683c864 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0027854ce48190ad3fb09ecd7e2b9e |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0029f138d88190bf240ca524d9ad0a |
completed | May 10, 2026, 6:47 a.m. |
Created at: April 10, 2026, 5:07 a.m.