Triple
T16302677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyactiv technology |
E395829
|
entity |
| Predicate | usedInModel |
P25490
|
FINISHED |
| Object |
Mazda CX-8
The Mazda CX-8 is a mid-size three-row crossover SUV known for its efficient performance, refined driving dynamics, and upscale interior.
|
E1206800
|
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: Mazda CX-8 | Statement: [Skyactiv technology, usedInModel, Mazda CX-8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazda CX-8 Context triple: [Skyactiv technology, usedInModel, Mazda CX-8]
-
A.
Mazda CX-9
The Mazda CX-9 is a mid-size three-row crossover SUV known for its stylish design, upscale interior, and engaging driving dynamics.
-
B.
Mazda CX-5
The Mazda CX-5 is a compact crossover SUV known for its stylish design, engaging driving dynamics, and efficient Skyactiv technology.
-
C.
Mazda CX-30
The Mazda CX-30 is a compact crossover SUV known for its sleek design, upscale interior, and engaging driving dynamics within Mazda’s lineup.
-
D.
Mazda MPV
The Mazda MPV is a mid-size minivan produced by Mazda, known for its family-friendly three-row seating and practical, versatile interior.
-
E.
Baleno
Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
- 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: Mazda CX-8 Triple: [Skyactiv technology, usedInModel, Mazda CX-8]
Generated description
The Mazda CX-8 is a mid-size three-row crossover SUV known for its efficient performance, refined driving dynamics, and upscale interior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazda CX-8 Target entity description: The Mazda CX-8 is a mid-size three-row crossover SUV known for its efficient performance, refined driving dynamics, and upscale interior.
-
A.
Mazda CX-9
The Mazda CX-9 is a mid-size three-row crossover SUV known for its stylish design, upscale interior, and engaging driving dynamics.
-
B.
Mazda CX-5
The Mazda CX-5 is a compact crossover SUV known for its stylish design, engaging driving dynamics, and efficient Skyactiv technology.
-
C.
Mazda CX-30
The Mazda CX-30 is a compact crossover SUV known for its sleek design, upscale interior, and engaging driving dynamics within Mazda’s lineup.
-
D.
Mazda MPV
The Mazda MPV is a mid-size minivan produced by Mazda, known for its family-friendly three-row seating and practical, versatile interior.
-
E.
Baleno
Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e3404288190a7106d62c15c3193 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260151908190b83f700a1c7c6419 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0026b6554481909ee5a4de41293d90 |
completed | May 10, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002750c490819082db2044b6a89eaa |
completed | May 10, 2026, 6:36 a.m. |
Created at: April 10, 2026, 5:06 a.m.