Triple

T5192844
Position Surface form Disambiguated ID Type / Status
Subject Tempozan E117196 entity
Predicate near P350 FINISHED
Object Universal Studios Japan E3086 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: Universal Studios Japan | Statement: [Tempozan, near, Universal Studios Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal Studios Japan
Context triple: [Tempozan, near, Universal Studios Japan]
  • A. Universal Studios Japan chosen
    Universal Studios Japan is a major theme park in Osaka featuring attractions based on popular films and franchises, and is one of the most visited amusement parks in the world.
  • B. USJ
    USJ is the commonly used abbreviation for Université Saint-Joseph, a prominent French-language university based in Beirut, Lebanon.
  • C. Universal Studios
    Universal Studios is a major American film studio and entertainment company known for producing blockbuster movies and operating popular theme parks worldwide.
  • D. Tokyo Disney Resort
    Tokyo Disney Resort is a major Disney-themed vacation destination in Urayasu, Japan, featuring multiple theme parks, hotels, and entertainment facilities inspired by Disney characters and stories.
  • E. Universal Studio Group
    Universal Studio Group is NBCUniversal’s television production division, encompassing multiple studios that create scripted and unscripted content for broadcast, cable, and streaming platforms.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79efd16c8190b0b16278a00baecd completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf330bc5c48190ad8ca1e413b6c68b completed March 22, 2026, 12:08 a.m.
Created at: March 20, 2026, 1:46 p.m.