Triple

T16302747
Position Surface form Disambiguated ID Type / Status
Subject Mazda CX-5 E395831 entity
Predicate predecessor P97 FINISHED
Object Mazda Tribute E207480 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 Tribute | Statement: [Mazda CX-5, predecessor, Mazda Tribute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda Tribute
Context triple: [Mazda CX-5, predecessor, Mazda Tribute]
  • A. Mazda Tribute chosen
    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. 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.
  • C. Mazda3
    The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
  • D. Mazda6
    The Mazda6 is a mid-size family sedan known for its sporty handling, stylish design, and strong value in the mainstream car market.
  • E. 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.
  • 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_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_6a002da444408190b770055d84060f4d completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.