Triple

T14437251
Position Surface form Disambiguated ID Type / Status
Subject Asakusa Culture and Tourism Center E357996 entity
Predicate overlooks P1323 FINISHED
Object Nakamise-dori E238595 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: Nakamise-dori | Statement: [Asakusa Culture and Tourism Center, overlooks, Nakamise-dori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakamise-dori
Context triple: [Asakusa Culture and Tourism Center, overlooks, Nakamise-dori]
  • A. Nakamise-dori chosen
    Nakamise-dori is the historic, souvenir- and snack-filled shopping street that leads up to Tokyo’s Senso-ji Temple and is one of the oldest commercial streets in Japan.
  • B. Hakusan-dori
    Hakusan-dori is a major urban street in Tokyo, Japan, known for connecting several central neighborhoods and serving as an important traffic and commercial artery.
  • C. Karasuma-dori
    Karasuma-dori is a major north–south avenue in Kyoto, Japan, known as one of the city’s primary business and transportation corridors.
  • D. Shijo-dori
    Shijo-dori is one of Kyoto’s main east–west streets, famous for its bustling shopping areas and as a central route through the historic Gion 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd7f46881908df1a1cea7b6af9b completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.