Triple

T21239088
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Triton E523422 entity
Predicate competitor P1375 FINISHED
Object Mazda BT-50 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: Mazda BT-50 | Statement: [Mitsubishi Triton, competitor, Mazda BT-50]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda BT-50
Context triple: [Mitsubishi Triton, competitor, Mazda BT-50]
  • A. Mazda BT-50 chosen
    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.
  • B. Isuzu MU-X
    The Isuzu MU-X is a mid-size SUV produced by Japanese automaker Isuzu, known for its rugged body-on-frame construction and strong diesel engine options.
  • C. Nissan NV400
    The Nissan NV400 is a large light commercial van developed in partnership with Renault and Opel/Vauxhall, sharing its platform with the Renault Master.
  • D. Nissan NV300
    The Nissan NV300 is a mid-size light commercial van produced by Nissan, based on and closely related to the Renault Trafic, and offered in various cargo and passenger configurations for European markets.
  • E. Nissan Patrol
    The Nissan Patrol is a large, rugged SUV renowned for its off-road capability and long-standing use as a durable 4x4 in markets worldwide.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73521eb7c8190b1b97b42d0d052c3 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.