Triple

T10293791
Position Surface form Disambiguated ID Type / Status
Subject AutoAlliance International E241430 entity
Predicate notableModelProduced P1448 FINISHED
Object Mazda 6 E196141 NE FINISHED

How this triple was built (2 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 6 | Statement: [AutoAlliance International, notableModelProduced, Mazda 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda 6
Context triple: [AutoAlliance International, notableModelProduced, Mazda 6]
  • A. Mazda6 chosen
    The Mazda6 is a mid-size family sedan known for its sporty handling, stylish design, and strong value in the mainstream car market.
  • B. Mazda3
    The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
  • 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. 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.
  • E. Mazda 626
    The Mazda 626 is a mid-size family car produced by the Japanese automaker Mazda from the late 1970s to the early 2000s, known for its practicality, reliability, and global popularity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d46fb08190b7694290692e47dc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d1c180481909ca9983e14cbb931 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:42 a.m.