Triple

T16415523
Position Surface form Disambiguated ID Type / Status
Subject Mazda2 E398673 entity
Predicate alsoKnownAs P39 FINISHED
Object Mazda Demio E398673 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 Demio | Statement: [Mazda2, alsoKnownAs, Mazda Demio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda Demio
Context triple: [Mazda2, alsoKnownAs, Mazda Demio]
  • A. Mazda2 chosen
    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.
  • B. 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.
  • C. Suzuki Alto
    The Suzuki Alto is a long-running line of compact city cars known for their affordability, fuel efficiency, and popularity in markets worldwide.
  • D. Mazda B-Series
    The Mazda B-Series is a line of compact pickup trucks produced by Mazda over several generations and sold worldwide under various nameplates.
  • E. Nissan Micra
    The Nissan Micra is a long-running subcompact hatchback car known for its small size, fuel efficiency, and popularity in urban markets worldwide.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3287741008190856882b7f34024fc completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f457b8c8190b278697ef43301cb completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.