Triple

T9745956
Position Surface form Disambiguated ID Type / Status
Subject Harajuku Station E236307 entity
Predicate locatedNear P294 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: [Harajuku Station, locatedNear, Omotesando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omotesando
Context triple: [Harajuku Station, locatedNear, 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. Shimbashi
    Shimbashi is a major business and entertainment district in central Tokyo, known for its busy railway station, salaryman nightlife, and numerous izakaya bars.
  • D. Kyōbashi
    Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
  • E. 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.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f65ad788190b68d731b6f516d93 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4321cc8190a5197d87ebfe38fb completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:23 p.m.