Triple

T18068275
Position Surface form Disambiguated ID Type / Status
Subject Kawasaki-ku E432349 entity
Predicate hasCommercialArea P459 FINISHED
Object Kawasaki Station area NE NERFINISHED

How this triple was built (3 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 Station area | Statement: [Kawasaki-ku, hasCommercialArea, Kawasaki Station area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawasaki Station area
Context triple: [Kawasaki-ku, hasCommercialArea, Kawasaki Station area]
  • A. Kanayama Station area
    The Kanayama Station area is a major commercial and transportation hub in Nagoya, known for its busy train interchange, shopping facilities, and entertainment venues.
  • B. Kinshichō Station area
    The Kinshichō Station area is a major commercial and entertainment district in eastern Tokyo known for its large shopping complexes, restaurants, and convenient rail connections.
  • C. Fujinomiya Station area
    Fujinomiya Station area is the central district surrounding Fujinomiya’s main railway station, serving as a local hub of transportation, commerce, and access to nearby attractions such as Mount Fuji.
  • D. Sakuragichō Station area
    The Sakuragichō Station area is a central urban district in Yokohama known for its major transit hub, waterfront access, and proximity to attractions like Minato Mirai.
  • E. Sannomiya Station area
    The Sannomiya Station area is Kobe’s main downtown hub, known for its major rail connections, dense shopping and entertainment districts, and role as the city’s central gateway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kawasaki Station area
Target entity description: The Kawasaki Station area is a major urban commercial and transportation hub in Kawasaki City, known for its large shopping complexes, entertainment facilities, and dense business district surrounding Kawasaki Station.
  • A. Kanayama Station area
    The Kanayama Station area is a major commercial and transportation hub in Nagoya, known for its busy train interchange, shopping facilities, and entertainment venues.
  • B. Kinshichō Station area
    The Kinshichō Station area is a major commercial and entertainment district in eastern Tokyo known for its large shopping complexes, restaurants, and convenient rail connections.
  • C. Fujinomiya Station area
    Fujinomiya Station area is the central district surrounding Fujinomiya’s main railway station, serving as a local hub of transportation, commerce, and access to nearby attractions such as Mount Fuji.
  • D. Sakuragichō Station area
    The Sakuragichō Station area is a central urban district in Yokohama known for its major transit hub, waterfront access, and proximity to attractions like Minato Mirai.
  • E. Sannomiya Station area
    The Sannomiya Station area is Kobe’s main downtown hub, known for its major rail connections, dense shopping and entertainment districts, and role as the city’s central gateway.
  • F. None of above. chosen

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cceb020081909329492591e7b1f2 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.