Triple

T20380618
Position Surface form Disambiguated ID Type / Status
Subject Karato Market E497814 entity
Predicate nearbyAttraction P3449 FINISHED
Object Shimonoseki waterfront 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: Shimonoseki waterfront area | Statement: [Karato Market, nearbyAttraction, Shimonoseki waterfront area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimonoseki waterfront area
Context triple: [Karato Market, nearbyAttraction, Shimonoseki waterfront area]
  • A. Keihin Port area
    The Keihin Port area is a major industrial and logistics coastal zone in the Tokyo–Yokohama region of Japan, encompassing several interconnected ports that support heavy industry, container shipping, and international trade.
  • B. Musashi-Kosugi area
    Musashi-Kosugi area is a rapidly urbanizing district in Kawasaki, Japan, known for its cluster of modern high-rise residential and commercial buildings and convenient rail connections.
  • C. Yokosuka city center
    Yokosuka city center is the main urban and commercial district of Yokosuka, Japan, serving as the hub for local business, transportation, and civic life.
  • D. Nakanoshima business district
    Nakanoshima business district is a central commercial and financial area in Osaka, Japan, known for its concentration of offices, cultural institutions, and riverside urban scenery.
  • E. Yokohama waterfront
    The Yokohama waterfront is a prominent coastal district of Yokohama known for its modern skyline, entertainment attractions, and scenic views of Tokyo Bay.
  • 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: Shimonoseki waterfront area
Target entity description: The Shimonoseki waterfront area is a scenic coastal district in Yamaguchi Prefecture known for its seaside promenades, views of the Kanmon Strait, and fresh seafood spots.
  • A. Keihin Port area
    The Keihin Port area is a major industrial and logistics coastal zone in the Tokyo–Yokohama region of Japan, encompassing several interconnected ports that support heavy industry, container shipping, and international trade.
  • B. Musashi-Kosugi area
    Musashi-Kosugi area is a rapidly urbanizing district in Kawasaki, Japan, known for its cluster of modern high-rise residential and commercial buildings and convenient rail connections.
  • C. Yokosuka city center
    Yokosuka city center is the main urban and commercial district of Yokosuka, Japan, serving as the hub for local business, transportation, and civic life.
  • D. Nakanoshima business district
    Nakanoshima business district is a central commercial and financial area in Osaka, Japan, known for its concentration of offices, cultural institutions, and riverside urban scenery.
  • E. Yokohama waterfront
    The Yokohama waterfront is a prominent coastal district of Yokohama known for its modern skyline, entertainment attractions, and scenic views of Tokyo Bay.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b026e081909541e545886c8380 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.