Triple

T978006
Position Surface form Disambiguated ID Type / Status
Subject Tempozan Giant Ferris Wheel E21099 entity
Predicate locatedOn P40 FINISHED
Object Tempozan
Tempozan is a waterfront district in Osaka, Japan, known for its harbor attractions, shopping and entertainment complex, and proximity to the Osaka Aquarium Kaiyukan.
 E117196 NE FINISHED

How this triple was built (4 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: Tempozan | Statement: [Tempozan Giant Ferris Wheel, locatedOn, Tempozan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tempozan
Context triple: [Tempozan Giant Ferris Wheel, locatedOn, Tempozan]
  • A. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • B. Zestaponi
    Zestaponi is an industrial town in western Georgia known historically for its manganese processing and role as a regional transport hub.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tempozan
Triple: [Tempozan Giant Ferris Wheel, locatedOn, Tempozan]
Generated description
Tempozan is a waterfront district in Osaka, Japan, known for its harbor attractions, shopping and entertainment complex, and proximity to the Osaka Aquarium Kaiyukan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tempozan
Target entity description: Tempozan is a waterfront district in Osaka, Japan, known for its harbor attractions, shopping and entertainment complex, and proximity to the Osaka Aquarium Kaiyukan.
  • A. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • B. Zestaponi
    Zestaponi is an industrial town in western Georgia known historically for its manganese processing and role as a regional transport hub.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • F. None of above. chosen

Provenance (5 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47861808190be56a7bbd926e658 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258909a88190b597a72cd6c0fa87 completed March 7, 2026, 1:18 p.m.
NEDg Description generation batch_69ac2674f5b88190bb3416a249a63982 completed March 7, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_69ac2704de788190857a3104180ccd21 completed March 7, 2026, 1:24 p.m.
Created at: March 1, 2026, 7:40 p.m.