Triple

T3069714
Position Surface form Disambiguated ID Type / Status
Subject Mini E63990 entity
Predicate predecessorBrand P1501 FINISHED
Object Morris Mini E324093 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: Morris Mini | Statement: [Mini, predecessorBrand, Morris Mini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morris Mini
Context triple: [Mini, predecessorBrand, Morris Mini]
  • A. British Leyland Mini 1000
    The British Leyland Mini 1000 is a compact British city car best known worldwide as the iconic yellow vehicle driven by Rowan Atkinson’s character in the television series "Mr. Bean."
  • B. Austin Mini chosen
    The Austin Mini is a classic British small car introduced in 1959, renowned for its compact design, front-wheel-drive layout, and cultural impact as an icon of 1960s motoring.
  • C. Mini Clubman
    The Mini Clubman is a compact estate-style car that extends the classic Mini design with a longer body, distinctive split rear doors, and increased practicality.
  • D. MGB
    MGB was the Soviet Union’s Ministry of State Security, a key secret police and intelligence agency that operated before being reorganized into the KGB.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada100f0b8819095da366fdc6803a8 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20354031c819081a0852fe7e181ab completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:02 p.m.