Triple

T16302809
Position Surface form Disambiguated ID Type / Status
Subject Mazda BT-50 E395832 entity
Predicate successorTo P78 FINISHED
Object Mazda B2500 E1205821 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 B2500 | Statement: [Mazda BT-50, successorTo, Mazda B2500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda B2500
Context triple: [Mazda BT-50, successorTo, Mazda B2500]
  • A. Mazda B-Series chosen
    The Mazda B-Series is a line of compact pickup trucks produced by Mazda over several generations and sold worldwide under various nameplates.
  • B. Mazda BT-50
    The Mazda BT-50 is a mid-size pickup truck designed for both work and recreational use, known for its durability, towing capability, and shared underpinnings with Ford’s Ranger in earlier generations.
  • C. 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.
  • D. Mazda SC
    Mazda SC was a Japanese company football club owned by Mazda that later evolved into the professional J.League team Sanfrecce Hiroshima.
  • E. 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.
  • 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_6a00260151908190b83f700a1c7c6419 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.