Triple

T6885721
Position Surface form Disambiguated ID Type / Status
Subject Port of Kawasaki E158912 entity
Predicate servesCity P82 FINISHED
Object Kawasaki E61828 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: Kawasaki | Statement: [Port of Kawasaki, servesCity, Kawasaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawasaki
Context triple: [Port of Kawasaki, servesCity, Kawasaki]
  • A. Kawasaki chosen
    Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
  • B. Suzuki
    Suzuki is a common Japanese surname borne by many notable individuals across sports, entertainment, and other fields.
  • C. Kawasaki Ninja series
    The Kawasaki Ninja series is a renowned line of high-performance sport motorcycles known for their aggressive styling, powerful engines, and strong presence in both street riding and motorcycle racing.
  • D. Suzuki Motor Corporation
    Suzuki Motor Corporation is a Japanese multinational automaker best known for its compact cars, motorcycles, and all-terrain vehicles sold worldwide.
  • E. Yamaha Motor Company
    Yamaha Motor Company is a Japanese manufacturer best known for its motorcycles, marine products, and power equipment, and is one of the world’s leading powersports brands.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90bc32c8190baf5bf785146f3e8 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742dc8d608190b2a8e9c1f46e1420 completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.