Triple

T17760187
Position Surface form Disambiguated ID Type / Status
Subject Hirakata, Osaka E443349 entity
Predicate hasAttraction P105 FINISHED
Object Yodogawa Riverside areas — 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: Yodogawa Riverside areas | Statement: [Hirakata, Osaka, hasAttraction, Yodogawa Riverside areas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yodogawa Riverside areas
Context triple: [Hirakata, Osaka, hasAttraction, Yodogawa Riverside areas]
  • A. Yokokawa area
    The Yokokawa area is one of the three main temple precincts of Enryaku-ji on Mount Hiei, known for its secluded, forested setting and historic Buddhist halls.
  • B. Osaka waterfront redevelopment area
    The Osaka waterfront redevelopment area is a revitalized coastal district in Osaka featuring modern commercial, entertainment, and leisure facilities designed to transform the city’s bayfront into a major urban attraction.
  • C. Yodoyabashi area
    The Yodoyabashi area is a central business and financial district in Osaka known for its historic architecture, major corporate offices, and proximity to government institutions.
  • D. Motooka area
    Motooka area is a district within Nishi-ku, Fukuoka, Japan, known for its mix of residential neighborhoods and proximity to major educational and research facilities.
  • E. Higashiōmi area
    The Higashiōmi area is a region in eastern Shiga Prefecture, Japan, encompassing several municipalities known for their rural landscapes, historical sites, and proximity to Lake Biwa.
  • 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: Yodogawa Riverside areas
Target entity description: Yodogawa Riverside areas are scenic riverbank parks and recreational spaces along the Yodo River, popular for walking, cycling, picnics, and seasonal events such as cherry-blossom viewing.
  • A. Yokokawa area
    The Yokokawa area is one of the three main temple precincts of Enryaku-ji on Mount Hiei, known for its secluded, forested setting and historic Buddhist halls.
  • B. Osaka waterfront redevelopment area
    The Osaka waterfront redevelopment area is a revitalized coastal district in Osaka featuring modern commercial, entertainment, and leisure facilities designed to transform the city’s bayfront into a major urban attraction.
  • C. Yodoyabashi area
    The Yodoyabashi area is a central business and financial district in Osaka known for its historic architecture, major corporate offices, and proximity to government institutions.
  • D. Motooka area
    Motooka area is a district within Nishi-ku, Fukuoka, Japan, known for its mix of residential neighborhoods and proximity to major educational and research facilities.
  • E. Higashiōmi area
    The Higashiōmi area is a region in eastern Shiga Prefecture, Japan, encompassing several municipalities known for their rural landscapes, historical sites, and proximity to Lake Biwa.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48421c3048190b26864b72aad0d70 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.