Triple

T13625100
Position Surface form Disambiguated ID Type / Status
Subject Aurora Innovation E325557 entity
Predicate partner P1136 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: [Aurora Innovation, partner, Toyota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota
Context triple: [Aurora Innovation, partner, 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. Toyota, Aichi
    Toyota, Aichi is a Japanese city best known as the headquarters and company town of the Toyota Motor Corporation.
  • D. 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.
  • E. 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.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a838581c819092a195f60673b743 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:50 p.m.