Triple

T6547118
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Chiyoda Line Omotesando Station E151037 entity
Predicate locatedIn P40 FINISHED
Object Omotesando E26236 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: Omotesando | Statement: [Tokyo Metro Chiyoda Line Omotesando Station, locatedIn, Omotesando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omotesando
Context triple: [Tokyo Metro Chiyoda Line Omotesando Station, locatedIn, Omotesando]
  • A. Omotesando chosen
    Omotesando is a fashionable, tree-lined avenue in central Tokyo known for its high-end boutiques, modern architecture, and trendy cafes.
  • B. Meiji-dori
    Meiji-dori is a major thoroughfare in Tokyo known for running through fashionable districts like Harajuku and connecting several key neighborhoods across the city.
  • C. Kyōbashi
    Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
  • D. Chūō-dōri
    Chūō-dōri is a major shopping and entertainment avenue in central Tokyo, renowned for its luxury boutiques, department stores, and vibrant street life, especially in the Ginza district.
  • E. Kappabashi-dori
    Kappabashi-dori is a famous Tokyo shopping street known for its many stores selling kitchenware, restaurant supplies, and realistic plastic food models.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf00aa48190a86a9ad4795363d9 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eed5afb88190aa4fdae9cda04c54 completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:50 p.m.