Triple

T23106020
Position Surface form Disambiguated ID Type / Status
Subject Yokohama, Kanagawa, Japan E576168 entity
Predicate famousDistrict P15422 FINISHED
Object Motomachi NE NERFINISHED

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: Motomachi | Statement: [Yokohama, Kanagawa, Japan, famousDistrict, Motomachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motomachi
Context triple: [Yokohama, Kanagawa, Japan, famousDistrict, Motomachi]
  • A. Motomachi
    Motomachi is a historic commercial and shopping district in Kobe, Japan, known for its fashionable boutiques, cafes, and proximity to the city’s Chinatown and waterfront.
  • B. Motomachi chosen
    Motomachi is a stylish shopping and entertainment district in Yokohama known for its fashionable boutiques, cafes, and Western-influenced atmosphere.
  • C. Motomachi
    Motomachi is a central commercial and entertainment district in Osaka known for its bustling shopping streets and proximity to major transport hubs.
  • D. Shinsaibashi
    Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
  • E. Motomachi district
    Motomachi district is a historic neighborhood in Hakodate, Japan, known for its Western-style architecture, churches, and scenic hillside views over the harbor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0ad44c81908e1873d4b3860323 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.