Triple
T16026459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda3 |
E388728
|
entity |
| Predicate | notableTrim |
P25549
|
FINISHED |
| Object |
Mazda3 MPS
The Mazda3 MPS is a high-performance, turbocharged hot hatch variant of the Mazda3 known for its strong power output and sporty handling.
|
E388728
|
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: Mazda3 MPS | Statement: [Mazda3, notableTrim, Mazda3 MPS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazda3 MPS Context triple: [Mazda3, notableTrim, Mazda3 MPS]
-
A.
Mazda3
The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
-
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.
Mazda2
The Mazda2 is a subcompact car known for its agile handling, fuel efficiency, and stylish design, positioned as an affordable entry-level model in Mazda’s lineup.
-
D.
Mazda MX series
The Mazda MX series is a lineup of Mazda’s sporty, performance-oriented vehicles that includes models like the MX-5 Miata and MX-6.
-
E.
Mazda Axela
The Mazda Axela is the name used in Japan for the Mazda3, a popular compact car known for its sporty handling and stylish design.
- 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: Mazda3 MPS Triple: [Mazda3, notableTrim, Mazda3 MPS]
Generated description
The Mazda3 MPS is a high-performance, turbocharged hot hatch variant of the Mazda3 known for its strong power output and sporty handling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazda3 MPS Target entity description: The Mazda3 MPS is a high-performance, turbocharged hot hatch variant of the Mazda3 known for its strong power output and sporty handling.
-
A.
Mazda3
chosen
The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
-
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.
Mazda2
The Mazda2 is a subcompact car known for its agile handling, fuel efficiency, and stylish design, positioned as an affordable entry-level model in Mazda’s lineup.
-
D.
Mazda MX series
The Mazda MX series is a lineup of Mazda’s sporty, performance-oriented vehicles that includes models like the MX-5 Miata and MX-6.
-
E.
Mazda Axela
The Mazda Axela is the name used in Japan for the Mazda3, a popular compact car known for its sporty handling and stylish design.
- F. None of above.
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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47280448190923a36e9a41ce7bc |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe517c8f081908a1275d0adf3053d |
completed | May 10, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe572be388190bb492b6f554ec808 |
completed | May 10, 2026, 1:54 a.m. |
Created at: April 10, 2026, 4:56 a.m.