Triple

T13041159
Position Surface form Disambiguated ID Type / Status
Subject Toyota Tsutsumi Plant E327193 entity
Predicate locatedIn P40 FINISHED
Object Toyota City E83487 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 City | Statement: [Toyota Tsutsumi Plant, locatedIn, Toyota City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota City
Context triple: [Toyota Tsutsumi Plant, locatedIn, Toyota City]
  • A. Toyota, Aichi
    Toyota, Aichi is a Japanese city best known as the headquarters and company town of the Toyota Motor Corporation.
  • B. Toyota City, Aichi Prefecture, Japan chosen
    Toyota City in Aichi Prefecture, Japan, is an industrial city best known as the company town and namesake of the global automaker Toyota Motor Corporation.
  • C. Toyota Field
    Toyota Field is a modern minor league baseball stadium in Madison, Alabama, serving as the home venue for the Rocket City Trash Pandas.
  • D. Toyota Field
    Toyota Field is a soccer-specific stadium in San Antonio, Texas, primarily known as the home venue of the USL Championship club San Antonio FC.
  • E. Toyota Motomachi Plant
    Toyota Motomachi Plant is one of Toyota's major automobile manufacturing facilities in Toyota City, Japan, known for producing a range of passenger vehicles and pioneering advanced production technologies.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804f0318819081516e2ca1de6797 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd5139c8190aaec6487f074f251 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:56 p.m.