Triple

T7892565
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Disneyland Hotel E183269 entity
Predicate nearbyStation P4625 FINISHED
Object Tokyo Disneyland Station E696045 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: Tokyo Disneyland Station | Statement: [Tokyo Disneyland Hotel, nearbyStation, Tokyo Disneyland Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Disneyland Station
Context triple: [Tokyo Disneyland Hotel, nearbyStation, Tokyo Disneyland Station]
  • A. Tokyo Disneyland Station chosen
    Tokyo Disneyland Station is a monorail station on the Disney Resort Line serving the Tokyo Disneyland theme park area in Urayasu, Chiba, Japan.
  • B. Tokyo DisneySea Station
    Tokyo DisneySea Station is a themed monorail stop serving the Tokyo DisneySea park within the Tokyo Disney Resort in Japan.
  • C. Disneyland Resort station
    Disneyland Resort station is a themed elevated railway station in Hong Kong serving visitors to Hong Kong Disneyland and the surrounding resort area.
  • D. Tokyo Skytree Station
    Tokyo Skytree Station is a railway station in Sumida, Tokyo that serves visitors to the Tokyo Skytree and its surrounding entertainment and shopping complex.
  • E. Tokyo Station
    Tokyo Station is a major railway hub in central Tokyo, serving as a key terminal for Shinkansen bullet trains and numerous local and regional lines.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39fef2e48190a6282c217c33c57a completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc562c6e188190adbdf99479170920 completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5 p.m.