Triple

T16026420
Position Surface form Disambiguated ID Type / Status
Subject Mazda3 E388728 entity
Predicate predecessor P97 FINISHED
Object Mazda Familia E1079452 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 Familia | Statement: [Mazda3, predecessor, Mazda Familia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda Familia
Context triple: [Mazda3, predecessor, Mazda Familia]
  • A. 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.
  • B. Mazda SC
    Mazda SC was a Japanese company football club owned by Mazda that later evolved into the professional J.League team Sanfrecce Hiroshima.
  • C. 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.
  • 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. Mazda 323 chosen
    The Mazda 323 is a compact car produced by Mazda that gained popularity worldwide for its practicality, reliability, and efficient performance across multiple generations.
  • 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_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.
Created at: April 10, 2026, 4:56 a.m.