Triple
T16302748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda CX-5 |
E395831
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
Mazda CX-7
The Mazda CX-7 is a mid-size crossover SUV produced by Mazda from the mid-2000s to early 2010s, known for its sporty styling and turbocharged engine options.
|
E1210148
|
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-7 | Statement: [Mazda CX-5, predecessor, Mazda CX-7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazda CX-7 Context triple: [Mazda CX-5, predecessor, Mazda CX-7]
-
A.
Mazda Tribute
The Mazda Tribute is a compact crossover SUV produced in the early 2000s through a collaboration between Mazda and Ford, sharing its platform with the Ford Escape and Mercury Mariner.
-
B.
Mazda6
The Mazda6 is a mid-size family sedan known for its sporty handling, stylish design, and strong value in the mainstream car market.
-
C.
Mazda CX-5
The Mazda CX-5 is a compact crossover SUV known for its stylish design, engaging driving dynamics, and efficient Skyactiv technology.
-
D.
Mazda3
The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
-
E.
Mazda CX-3
The Mazda CX-3 is a subcompact crossover SUV known for its sporty handling, stylish design, and fuel-efficient Skyactiv powertrain.
- 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-7 Triple: [Mazda CX-5, predecessor, Mazda CX-7]
Generated description
The Mazda CX-7 is a mid-size crossover SUV produced by Mazda from the mid-2000s to early 2010s, known for its sporty styling and turbocharged engine options.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazda CX-7 Target entity description: The Mazda CX-7 is a mid-size crossover SUV produced by Mazda from the mid-2000s to early 2010s, known for its sporty styling and turbocharged engine options.
-
A.
Mazda Tribute
The Mazda Tribute is a compact crossover SUV produced in the early 2000s through a collaboration between Mazda and Ford, sharing its platform with the Ford Escape and Mercury Mariner.
-
B.
Mazda6
The Mazda6 is a mid-size family sedan known for its sporty handling, stylish design, and strong value in the mainstream car market.
-
C.
Mazda CX-5
The Mazda CX-5 is a compact crossover SUV known for its stylish design, engaging driving dynamics, and efficient Skyactiv technology.
-
D.
Mazda3
The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
-
E.
Mazda CX-3
The Mazda CX-3 is a subcompact crossover SUV known for its sporty handling, stylish design, and fuel-efficient Skyactiv powertrain.
- 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_6a003550fc0c8190ba78666da8b3cd81 |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a0036b204408190b7055ea966539dc4 |
completed | May 10, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00374326948190ae039bc689054387 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:06 a.m.