Triple

T2183321
Position Surface form Disambiguated ID Type / Status
Subject Qingpu District E49094 entity
Predicate contains P35 FINISHED
Object Oriental Land E181674 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: Oriental Land | Statement: [Qingpu District, contains, Oriental Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oriental Land
Context triple: [Qingpu District, contains, Oriental Land]
  • A. The Oriental Land Company chosen
    The Oriental Land Company is a Japanese leisure and tourism corporation best known for operating and licensing the Tokyo Disney Resort.
  • B. Hongkong International Theme Parks Limited
    Hongkong International Theme Parks Limited is the joint venture company, co-owned by the Hong Kong Government and The Walt Disney Company, that develops and manages the Hong Kong Disneyland Resort.
  • C. Osaka Monorail Co., Ltd.
    Osaka Monorail Co., Ltd. is the railway company that operates the Osaka Monorail transit system in Osaka Prefecture, Japan.
  • D. Universal Studios Japan
    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.
  • E. Intamin
    Intamin is a Swiss-based company renowned worldwide for designing and manufacturing major amusement rides and roller coasters for theme parks.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da963308190bcd0918b8317b3f6 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.