Triple

T16302674
Position Surface form Disambiguated ID Type / Status
Subject Skyactiv technology E395829 entity
Predicate usedInModel P25490 FINISHED
Object Mazda CX-3
The Mazda CX-3 is a subcompact crossover SUV known for its sporty handling, stylish design, and fuel-efficient Skyactiv powertrain.
 E1206799 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-3 | Statement: [Skyactiv technology, usedInModel, Mazda CX-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mazda CX-3
Context triple: [Skyactiv technology, usedInModel, Mazda CX-3]
  • A. 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.
  • 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. Mazda3
    The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
  • D. 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.
  • 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-3
Triple: [Skyactiv technology, usedInModel, Mazda CX-3]
Generated description
The Mazda CX-3 is a subcompact crossover SUV known for its sporty handling, stylish design, and fuel-efficient Skyactiv powertrain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mazda CX-3
Target entity description: The Mazda CX-3 is a subcompact crossover SUV known for its sporty handling, stylish design, and fuel-efficient Skyactiv powertrain.
  • A. 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.
  • 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. Mazda3
    The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
  • D. 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.
  • 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.