Triple

T5871591
Position Surface form Disambiguated ID Type / Status
Subject Toyota Cup E130528 entity
Predicate sponsor P67 FINISHED
Object Toyota E13136 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: Toyota | Statement: [Toyota Cup, sponsor, Toyota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota
Context triple: [Toyota Cup, sponsor, Toyota]
  • A. Toyota Motor Corporation chosen
    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.
  • B. Toyota Group
    Toyota Group is a Japanese multinational corporate conglomerate centered around Toyota Motor Corporation, encompassing a network of automotive and related businesses.
  • C. 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.
  • D. Toyota Housing Corporation
    Toyota Housing Corporation is a Japanese company within the Toyota Group that specializes in the design, construction, and sale of residential housing.
  • E. Nissan
    Nissan is a major Japanese automobile manufacturer known for producing a wide range of passenger cars, trucks, and electric vehicles sold globally.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f87a4c819092fcfce58d303d61 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107fd138c819092096f473be3e4cf completed March 23, 2026, 9:29 a.m.
Created at: March 22, 2026, 3:56 p.m.