Triple

T21255526
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi ASX E523857 entity
Predicate brand P1500 FINISHED
Object Mitsubishi NE NERFINISHED

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: Mitsubishi | Statement: [Mitsubishi ASX, brand, Mitsubishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsubishi
Context triple: [Mitsubishi ASX, brand, Mitsubishi]
  • A. Mitsubishi chosen
    Mitsubishi is a major Japanese multinational conglomerate known for its diverse businesses in industries such as automotive, heavy industry, finance, and electronics.
  • B. Mitsubishi Motors
    Mitsubishi Motors is a Japanese automotive manufacturer known for producing a wide range of passenger cars, SUVs, and light commercial vehicles and for its involvement in global automotive alliances.
  • C. Mitsubishi Zuisei
    The Mitsubishi Zuisei was a Japanese air-cooled radial aircraft engine widely used in Imperial Japanese Navy aircraft during the World War II era.
  • D. Mitsubishi Kinsei
    Mitsubishi Kinsei was a widely used Japanese air-cooled radial aircraft engine of the World War II era, known for powering various Imperial Japanese Navy and Army aircraft.
  • E. Fuji Heavy Industries
    Fuji Heavy Industries is a Japanese transportation conglomerate best known as the former parent company of Subaru, involved in automotive, aerospace, and industrial products.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0e7dc8190b591b5b6786ce619 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:58 p.m.