Triple

T14437523
Position Surface form Disambiguated ID Type / Status
Subject Taitō ward E358002 entity
Predicate contains P35 FINISHED
Object Kappabashi-dori E235810 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: Kappabashi-dori | Statement: [Taitō ward, contains, Kappabashi-dori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kappabashi-dori
Context triple: [Taitō ward, contains, Kappabashi-dori]
  • A. Kappabashi-dori chosen
    Kappabashi-dori is a famous Tokyo shopping street known for its many stores selling kitchenware, restaurant supplies, and realistic plastic food models.
  • B. 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.
  • C. 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.
  • D. Yamate-dori
    Yamate-dori is a major arterial ring road in Tokyo, Japan, running north–south and connecting numerous key districts and highways across the city.
  • E. Nakamise-dori
    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.
  • 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_69fda90a7f2881909a7744f1f4344173 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:18 a.m.