Triple

T13556057
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Group E323776 entity
Predicate hasMember P10 FINISHED
Object Mitsubishi Motors E122851 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: Mitsubishi Motors | Statement: [Mitsubishi Group, hasMember, Mitsubishi Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsubishi Motors
Context triple: [Mitsubishi Group, hasMember, Mitsubishi Motors]
  • A. Mitsubishi Motors chosen
    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.
  • B. Mitsubishi
    Mitsubishi is a major Japanese multinational conglomerate known for its diverse businesses in industries such as automotive, heavy industry, finance, and electronics.
  • 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. Toyota Motor Corporation
    Toyota Motor Corporation is a Japanese multinational automaker renowned for its reliable vehicles, pioneering of lean manufacturing and the Toyota Production System, and global leadership in hybrid technology.
  • E. Nissan
    Nissan is a river in southwestern Sweden that flows through the province of Halland before reaching the Kattegat.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c6cde08190b79fdcde8a81ccc4 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:47 p.m.